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Yao X, Zhang L. Causes of Large Increases in Atmospheric Ammonia in the Last Decade across North America. ACS OMEGA 2019; 4:22133-22142. [PMID: 31891095 PMCID: PMC6933799 DOI: 10.1021/acsomega.9b03284] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/04/2019] [Accepted: 11/27/2019] [Indexed: 05/14/2023]
Abstract
Decadal trends of atmospheric ammonia (NH3) and their potential causes were explored through the analysis of monitored data collected at 15 sites in the United States and 7 sites in Canada. Large percentage increases in the annual average concentration of atmospheric NH3, for example, >100% at 6 sites and 40-100% at 10 sites, were observed over the most recent 8-13 year period. In contrast, a decrease or a narrow variation in NH3 emissions was reported at the state or provincial level in both countries during the same period. Decreased emissions of SO2 and NO x across North America in the past decade would have reduced the chemical loss of atmospheric NH3 to form particulate NH4 +. Such a chemical mechanism was verified through regression analysis at about half of the monitored sites, where the increasing trends in atmospheric NH3 were partially explained by the reduced NH4 +. Excluding the reduced contribution from this chemical loss to generate the adjusted annual NH3 concentration through two approaches, no decreasing trends can be obtained to align those in emissions at most sites, implying that other factors also contributed to the increase in the annual NH3 concentration. Correlation analysis results implied that enhanced drought conditions and increased ambient temperatures also likely contributed to the increasing trend in the annual NH3 concentration at some sites. The large percentage increases in the annual NH3 concentration cannot be fully explained by all the identified causes, leading to oppugning the reality of the decrease in NH3 emissions reported across North America in the recent decade.
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Affiliation(s)
- Xiaohong Yao
- Lab
of Marine Environmental Science and Ecology, Ministry of Education, Ocean University of China, Qingdao 266100, China
- E-mail: (X.Y.)
| | - Leiming Zhang
- Air
Quality Research Division, Science and Technology Branch, Environment and Climate Change Canada, Toronto M3H 5T4, Canada
- E-mail: (L.Z.)
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52
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Kong L, Tang X, Zhu J, Wang Z, Pan Y, Wu H, Wu L, Wu Q, He Y, Tian S, Xie Y, Liu Z, Sui W, Han L, Carmichael G. Improved Inversion of Monthly Ammonia Emissions in China Based on the Chinese Ammonia Monitoring Network and Ensemble Kalman Filter. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2019; 53:12529-12538. [PMID: 31576752 DOI: 10.1021/acs.est.9b02701] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Abstract
Ammonia (NH3) emission inventories are an essential input in chemical transport models and are helpful for policy-makers to refine mitigation strategies. However, current estimates of Chinese NH3 emissions still have large uncertainties. In this study, an improved inversion estimation of NH3 emissions in China has been made using an ensemble Kalman filter and the Nested Air Quality Prediction Modeling System. By first assimilating the surface NH3 observations from the Ammonia Monitoring Network in China at a high resolution of 15 km, our inversion results have provided new insights into the spatial and temporal patterns of Chinese NH3 emissions. More enhanced NH3 emission hotspots, likely associated with industrial or agricultural sources, were captured in northwest China, where the a posteriori NH3 emissions were more than twice the a priori emissions. Monthly variations of NH3 emissions were optimized in different regions of China and exhibited a more distinct seasonality, with the emissions in summer being twice those in winter. The inversion results were well-validated by several independent datasets that traced gaseous NH3 and related atmospheric processes. These findings highlighted that the improved inversion estimation can be used to advance our understanding of NH3 emissions in China and their environmental impacts.
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Affiliation(s)
- Lei Kong
- CAS-TWAS Center of Excellence for Climate and Environment Sciences (ICCES), Institute of Atmospheric Physics , Chinese Academy of Sciences , Beijing 100029 , China
- University of Chinese Academy of Sciences , Beijing 100049 , China
| | - Xiao Tang
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics , Chinese Academy of Sciences , Beijing 100029 , China
- University of Chinese Academy of Sciences , Beijing 100049 , China
| | - Jiang Zhu
- CAS-TWAS Center of Excellence for Climate and Environment Sciences (ICCES), Institute of Atmospheric Physics , Chinese Academy of Sciences , Beijing 100029 , China
- University of Chinese Academy of Sciences , Beijing 100049 , China
| | - Zifa Wang
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics , Chinese Academy of Sciences , Beijing 100029 , China
- University of Chinese Academy of Sciences , Beijing 100049 , China
- Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment , Chinese Academy of Sciences , Xiamen 361021 , China
| | - Yuepeng Pan
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics , Chinese Academy of Sciences , Beijing 100029 , China
- University of Chinese Academy of Sciences , Beijing 100049 , China
| | - Huangjian Wu
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics , Chinese Academy of Sciences , Beijing 100029 , China
- University of Chinese Academy of Sciences , Beijing 100049 , China
| | - Lin Wu
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics , Chinese Academy of Sciences , Beijing 100029 , China
- University of Chinese Academy of Sciences , Beijing 100049 , China
| | - Qizhong Wu
- College of Global Change and Earth System Science , Beijing Normal University , Beijing 100875 , China
| | - Yuexin He
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics , Chinese Academy of Sciences , Beijing 100029 , China
- University of Chinese Academy of Sciences , Beijing 100049 , China
| | - Shili Tian
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics , Chinese Academy of Sciences , Beijing 100029 , China
- University of Chinese Academy of Sciences , Beijing 100049 , China
| | - Yuzhu Xie
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics , Chinese Academy of Sciences , Beijing 100029 , China
- University of Chinese Academy of Sciences , Beijing 100049 , China
| | - Zirui Liu
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics , Chinese Academy of Sciences , Beijing 100029 , China
- University of Chinese Academy of Sciences , Beijing 100049 , China
| | - Wenxuan Sui
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics , Chinese Academy of Sciences , Beijing 100029 , China
| | - Lina Han
- Chengdu University of Information Technology , Chengdu 610225 , China
| | - Greg Carmichael
- Center for Global and Regional Environmental Research , University of Iowa , Iowa City , Iowa 52242 , United States
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53
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Cheng B, Wang-Li L, Meskhidze N, Classen J, Bloomfield P. Spatial and temporal variations of PM 2.5 mass closure and inorganic PM 2.5 in the Southeastern U.S. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2019; 26:33181-33191. [PMID: 31520377 DOI: 10.1007/s11356-019-06437-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2019] [Accepted: 09/05/2019] [Indexed: 06/10/2023]
Abstract
Fine particulate matter (i.e., PM2.5) has gained extensive attention owing to its adverse effects. The impacts of PM2.5 may vary in time and space due to the spatiotemporal variations of PM2.5 number size distribution and chemical compositions. This research analyzed the latest PM2.5 chemical compositions measurements with an aim to better understand the dynamic changes of PM2.5 in response to emission reductions due to the new regulations. The particulate measurements from the Southeastern Aerosol Research and Characterization (SEARCH) network between 2001 and 2016 were analyzed for the spatiotemporal variations of PM2.5 and inorganic PM2.5 (iPM2.5 = SO42- + NH4+ + NO3-) chemical compositions in the Southeastern United States (U.S.). It was discovered that PM2.5 and iPM2.5 mass concentrations exhibited significant downward trends in 2001-2016. Both PM2.5 and iPM2.5 mass concentrations were higher at urban and inland sites than rural/suburban and coastal sites. The higher iPM2.5 concentrations at agricultural sites were attributed to the influences of ammonia (NH3) emissions from animal feeding operations (AFOs). The iPM2.5 was the dominant contributor to PM2.5 in 2001-2016 at the coastal sites, whereas organic carbon matter (OCM) was the major contributor to PM2.5 after 2011 at the inland sites. Our data analysis suggests that significant decrease of PM2.5 concentrations is attributed to the reductions in nitrogen oxides (NOx) and sulfur dioxide (SO2) emissions in 2001-2016. Findings from this research provide insights into the development of effective PM2.5 control strategies and assessment of air pollutants exposure.
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Affiliation(s)
- Bin Cheng
- Department of Biological and Agricultural Engineering, North Carolina State University, Raleigh, NC, 27695, USA
| | - Lingjuan Wang-Li
- Department of Biological and Agricultural Engineering, North Carolina State University, Raleigh, NC, 27695, USA.
| | - Nicholas Meskhidze
- Department of Marine Earth and Atmospheric Science, North Carolina State University, Raleigh, NC, 27685, USA
| | - John Classen
- Department of Biological and Agricultural Engineering, North Carolina State University, Raleigh, NC, 27695, USA
| | - Peter Bloomfield
- Department of Statistics, North Carolina State University, Raleigh, NC, 27695, USA
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54
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Li Y, Wang F, Yan W, Lv S, Li Q, Yu Q, Wang J. Enhanced nitrogen imbalances in agroecosystems driven by changing cropping systems in a coastal area of eastern China: from field to watershed scale. ENVIRONMENTAL SCIENCE. PROCESSES & IMPACTS 2019; 21:1532-1548. [PMID: 31298249 DOI: 10.1039/c9em00219g] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Agricultural activities exacerbate nitrogen (N) imbalances in the agroecosystem by disturbing the N inputs and outputs, yet the influence of changes in cropping systems on the N balance of agroecosystems remains unclear. In this study, at the field scale, we calculated the N balance of four cropping systems, (1) traditional crops with traditional crop rotation (G-G), (2) vegetables with traditional crop rotation (V-G), (3) vegetables with vegetable rotation (V-V), and (4) greenhouse vegetables (GHV); then analyzed the influence of changes in cropping systems from 1995 to 2015 on the N balances in the agroecosystems in sub-watersheds of the Dagu River. The results indicate that N balances were higher in GHV, V-V, and V-G than G-G, due to significantly higher inputs of N fertilizers and lower N use efficiency (NUE) in vegetable cultivation compared to traditional crops. Driven by economic benefits between 1995 and 2015, V-G, V-V, and GHV replaced G-G in a considerable number of cultivation areas in the sub-watersheds. These changes resulted in an increase of 109.9-170.1% in the N balance in the agroecosystem in the sub-watersheds between 1995 and 2015. In the entire watershed, the total N surplus contribution by V-V, V-G, and GHV increased from 39.3% to 79.1% between 1995 and 2015. These findings suggest that increased vegetable cultivation contributed to the increased risk of N pollution in agricultural production. Thus, there should be a focus on the management of cropping systems to control N loss from agricultural lands.
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Affiliation(s)
- Yanqiang Li
- Institute of Geographic Sciences and Natural Resources Research CAS, Beijing, 100101, China.
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55
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Mazzei L, Cianci M, Benini S, Ciurli S. The Impact of pH on Catalytically Critical Protein Conformational Changes: The Case of the Urease, a Nickel Enzyme. Chemistry 2019; 25:12145-12158. [DOI: 10.1002/chem.201902320] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2019] [Revised: 07/01/2019] [Indexed: 12/17/2022]
Affiliation(s)
- Luca Mazzei
- Laboratory of Bioinorganic ChemistryDepartment of Pharmacy and BiotechnologyUniversity of Bologna Bologna Italy
| | - Michele Cianci
- Department of Agricultural, Food and Environmental SciencesPolytechnic University of Marche Ancona Italy
| | - Stefano Benini
- Bioorganic Chemistry and Bio-Crystallography LaboratoryFaculty of Science and TechnologyFree University of Bolzano Bolzano Italy
| | - Stefano Ciurli
- Laboratory of Bioinorganic ChemistryDepartment of Pharmacy and BiotechnologyUniversity of Bologna Bologna Italy
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56
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Abstract
The food system was developed around a set of policy drivers to make food cheaper and more available, these included promoting agricultural productivity and global trade to increase the availability of food. However, as has been recognised by a plethora of recent papers and reports, these factors have also led to a food system that is unsustainable through its impacts on human health (particularly the growing obesity epidemic) and the environment (e.g. as a major driver of climate change). The world is changing at an unprecedented rate, and the food system is becoming increasingly 'just in time', spatially extended, and dependent on more facilitating sectors (water, land, transport, finance, cyber, etc.). This produces a degree of systemic fragility that drivers (like demand) can interact with events (e.g. a climate impact) to create the opportunity for large-scale shifts in the way the world works. Given the unsustainability of the food system, and the uncertainty of how it may evolve, scenario analysis can be a useful tool for imagining plausible futures as an aid to unlocking 'business as unusual' thinking. Summarising a number of recent processes, I describe scenarios of countries' food systems shaped by changing patterns of trade and changing dietary patterns.
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Affiliation(s)
- Tim G Benton
- School of Biology University of Leeds Leeds LS2 9JT UK
- Energy, Environment and Resources Department The Royal Institute of International Affairs Chatham House, 10 St James's Square London SW1Y 4LE UK
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57
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Mazzei L, Cianci M, Benini S, Ciurli S. The Structure of the Elusive Urease–Urea Complex Unveils the Mechanism of a Paradigmatic Nickel‐Dependent Enzyme. Angew Chem Int Ed Engl 2019; 58:7415-7419. [DOI: 10.1002/anie.201903565] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2019] [Indexed: 01/14/2023]
Affiliation(s)
- Luca Mazzei
- Laboratory of Bioinorganic ChemistryDepartement of Pharmacy and BiotechnologyUniversity of Bologna Via Giuseppe Fanin 40 40138 Bologna Italy
| | - Michele Cianci
- Department of Agricultural, Food and Environmental SciencesPolytechnic University of Marche Ancona Italy
| | - Stefano Benini
- Bioorganic Chemistry and Bio-Crystallography Laboratory (B2Cl)Faculty of Science and TechnologyFree University of Bolzano Bolzano Italy
| | - Stefano Ciurli
- Laboratory of Bioinorganic ChemistryDepartement of Pharmacy and BiotechnologyUniversity of Bologna Via Giuseppe Fanin 40 40138 Bologna Italy
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58
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Lassaletta L, Estellés F, Beusen AHW, Bouwman L, Calvet S, van Grinsven HJM, Doelman JC, Stehfest E, Uwizeye A, Westhoek H. Future global pig production systems according to the Shared Socioeconomic Pathways. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 665:739-751. [PMID: 30790747 DOI: 10.1016/j.scitotenv.2019.02.079] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/23/2018] [Revised: 02/04/2019] [Accepted: 02/05/2019] [Indexed: 05/15/2023]
Abstract
Global pork production has increased fourfold over the last 50 years and is expected to continue growing during the next three decades. This may have considerable implications for feed use, land requirements, and nitrogen emissions. To analyze the development of the pig production sector at the scale of world regions, we developed the IMAGE-Pig model to describe changes in feed demand, feed conversion ratios (FCRs), nitrogen use efficiency (NUE) and nitrogen excretion for backyard, intermediate and intensive systems during the past few decades as a basis to explore future scenarios. For each region and production system, total production, productive characteristics and dietary compositions were defined for the 1970-2005 period. The results show that due to the growing pork production total feed demand has increased by a factor of two (from 229 to 471Tg DM). This is despite the improvement of FCRs during the 1970-2005 period, which has reduced the feed use per kg of product. The increase of nitrogen use efficiency was slower than the improvement of FCRs due to increasing protein content in the feed rations. As a result, total N excretion increased by more than a factor of two in the 1970-2005 period (from 4.6 to 11.1 Tg N/year). For the period up to 2050, the Shared Socio-economic Pathways (SSPs) provide information on levels of human consumption, technical development and environmental awareness. The sustainability of pig production systems for the coming decades will be based not only on the expected efficiency improvements at the level of animal breeds, but also on four additional pillars: (i) use of alternative feed sources not competing with human food, (ii) reduction of the crude protein content in rations, (iii) the proper use of slurries as fertilizers through coupling of crop and livestock production and (iv) moderation of the human pork consumption.
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Affiliation(s)
- Luis Lassaletta
- PBL Netherlands Environmental Assessment Agency, 2500 GH The Hague, the Netherlands; Department of Earth Sciences-Geochemistry, Faculty of Geosciences, Utrecht University, PO Box 80021, 3508 TA Utrecht, the Netherlands; CEIGRAM/Department of Agricultural Production, Universidad Politécnica de Madrid, Madrid 28040, Spain.
| | - Fernando Estellés
- Institute of Animal Science and Technology, Universitat Politecnica de Valencia, Camino de Vera S/n, 46022 Valencia, Spain
| | - Arthur H W Beusen
- PBL Netherlands Environmental Assessment Agency, 2500 GH The Hague, the Netherlands; Department of Earth Sciences-Geochemistry, Faculty of Geosciences, Utrecht University, PO Box 80021, 3508 TA Utrecht, the Netherlands
| | - Lex Bouwman
- PBL Netherlands Environmental Assessment Agency, 2500 GH The Hague, the Netherlands; Department of Earth Sciences-Geochemistry, Faculty of Geosciences, Utrecht University, PO Box 80021, 3508 TA Utrecht, the Netherlands; Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education, Ocean University of China, Qingdao 266100, PR China.
| | - Salvador Calvet
- Institute of Animal Science and Technology, Universitat Politecnica de Valencia, Camino de Vera S/n, 46022 Valencia, Spain
| | | | - Jonathan C Doelman
- PBL Netherlands Environmental Assessment Agency, 2500 GH The Hague, the Netherlands
| | - Elke Stehfest
- PBL Netherlands Environmental Assessment Agency, 2500 GH The Hague, the Netherlands
| | - Aimable Uwizeye
- Food and Agriculture Organization of the United Nations, Animal Production and Health Division, Viale delle Terme di Caracalla, Rome 00153, Italy; Animal Production Systems Group, Wageningen University & Research, PO Box 338, 6700 AH Wageningen, the Netherlands; Teagasc - Crops, Environment and Land Use Programme, Johnstown Castle, Wexford, Ireland
| | - Henk Westhoek
- PBL Netherlands Environmental Assessment Agency, 2500 GH The Hague, the Netherlands
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59
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Mazzei L, Cianci M, Benini S, Ciurli S. The Structure of the Elusive Urease–Urea Complex Unveils the Mechanism of a Paradigmatic Nickel‐Dependent Enzyme. Angew Chem Int Ed Engl 2019. [DOI: 10.1002/ange.201903565] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- Luca Mazzei
- Laboratory of Bioinorganic ChemistryDepartement of Pharmacy and BiotechnologyUniversity of Bologna Via Giuseppe Fanin 40 40138 Bologna Italy
| | - Michele Cianci
- Department of Agricultural, Food and Environmental SciencesPolytechnic University of Marche Ancona Italy
| | - Stefano Benini
- Bioorganic Chemistry and Bio-Crystallography Laboratory (B2Cl)Faculty of Science and TechnologyFree University of Bolzano Bolzano Italy
| | - Stefano Ciurli
- Laboratory of Bioinorganic ChemistryDepartement of Pharmacy and BiotechnologyUniversity of Bologna Via Giuseppe Fanin 40 40138 Bologna Italy
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60
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Zhan X, Chen C, Wang Q, Zhou F, Hayashi K, Ju X, Lam SK, Wang Y, Wu Y, Fu J, Zhang L, Gao S, Hou X, Bo Y, Zhang D, Liu K, Wu Q, Su R, Zhu J, Yang C, Dai C, Liu H. Improved Jayaweera-Mikkelsen model to quantify ammonia volatilization from rice paddy fields in China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2019; 26:8136-8147. [PMID: 30690669 DOI: 10.1007/s11356-019-04275-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/11/2018] [Accepted: 01/16/2019] [Indexed: 06/09/2023]
Abstract
Current estimates of China's ammonia (NH3) volatilization from paddy rice differ by more than twofold, mainly due to inappropriate application of chamber-based measurements and improper assumptions within process-based models. Here, we improved the Jayaweera-Mikkelsen (JM) model through multiplying the concentration of aqueous NH3 in ponded water by an activity coefficient that was determined based on high-frequency flux observations at Jingzhou station in Central China. We found that the improved JM model could reproduce the dynamics of observed NH3 flux (R2 = 0.83, n = 228, P < 0.001), while the original JM model without the consideration of activity of aqueous NH3 overstated NH3 flux by 54% during the periods of fertilization and pesticide application. The validity of the improved JM model was supported by a mass-balance-based indirect estimate at Jingzhou station and the independent flux observations from the other five stations across China. The NH3 volatilization losses that were further simulated by the improved JM model forced by actual wind speed were in general a half less than previous chamber-based estimates at six stations. Difference in wind speed between the inside and outside of the chamber and insufficient sampling frequency were identified as the primary and secondary causes for the overestimation in chamber-based estimations, respectively. Together, our findings suggest that an in-depth understanding of NH3 transfer process and its robust representation in models are critical for developing regional emission inventories and practical mitigation strategies of NH3.
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Affiliation(s)
- Xiaoying Zhan
- Sino-France Institute of Earth Systems Science, Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, People's Republic of China
- Agricultural Clean Watershed Research Group, Chinese Academy of Agricultural Sciences, Institute of Environment and Sustainable Development in Agriculture, Beijing, 100081, People's Republic of China
| | - Chuan Chen
- Institute of International Rivers and Eco-security, Yunnan University, Kunming, 650091, People's Republic of China
| | - Qihui Wang
- Sino-France Institute of Earth Systems Science, Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, People's Republic of China
| | - Feng Zhou
- Sino-France Institute of Earth Systems Science, Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, People's Republic of China.
| | - Kentaro Hayashi
- Division of Biogeochemical Cycles, National Agriculture and Food Research Organization, Institute for Agro-Environmental Sciences, 3-1-3, Kannondai, Tsukuba, Ibaraki, 305-8604, Japan
| | - Xiaotang Ju
- College of Resources and Environmental Sciences, China Agricultural University, Beijing, 100193, People's Republic of China
| | - Shu Kee Lam
- School of Agriculture and Food, Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Melbourne, VIC, 3010, Australia
| | - Yonghua Wang
- Sino-France Institute of Earth Systems Science, Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, People's Republic of China
| | - Yali Wu
- Sino-France Institute of Earth Systems Science, Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, People's Republic of China
| | - Jin Fu
- Sino-France Institute of Earth Systems Science, Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, People's Republic of China
| | - Luping Zhang
- College of Agriculture, Yangtze University, Jingzhou, 434025, People's Republic of China
| | - Shuoshuo Gao
- Sino-France Institute of Earth Systems Science, Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, People's Republic of China
| | - Xikang Hou
- Sino-France Institute of Earth Systems Science, Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, People's Republic of China
| | - Yan Bo
- Sino-France Institute of Earth Systems Science, Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, People's Republic of China
| | - Dan Zhang
- Key Laboratory of Nonpoint Source Pollution Control, Ministry of Agriculture, Chinese Academy of Agricultural Sciences, Institute of Agricultural Resources and Regional Planning, Beijing, 100081, People's Republic of China
| | - Kaiwen Liu
- Jingzhou Agrometeorological Experimental Station, Jingzhou, 434025, People's Republic of China
| | - Qixia Wu
- College of Agriculture, Yangtze University, Jingzhou, 434025, People's Republic of China
| | - Rongrui Su
- Jingzhou Agrometeorological Experimental Station, Jingzhou, 434025, People's Republic of China
| | - Jianqiang Zhu
- College of Agriculture, Yangtze University, Jingzhou, 434025, People's Republic of China
| | - Changliang Yang
- School of Ecology and Environmental Science, Yunnan University, Kunming, 650091, People's Republic of China
| | - Chaomeng Dai
- Department of Hydraulic Engineering, College of Civil Engineering, Tongji University, Shanghai, 200092, People's Republic of China
| | - Hongbin Liu
- Key Laboratory of Nonpoint Source Pollution Control, Ministry of Agriculture, Chinese Academy of Agricultural Sciences, Institute of Agricultural Resources and Regional Planning, Beijing, 100081, People's Republic of China
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61
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Peng Y, Cui J, Zhu H, Cao Y, Du K, Yao D. Long-term spatiotemporal variations of atmospheric sulfur, nitrogen and particle pollutants in Chongqing, southwest China: implication of industrial transfer. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2019; 26:8098-8110. [PMID: 30685864 DOI: 10.1007/s11356-019-04224-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/01/2018] [Accepted: 01/10/2019] [Indexed: 06/09/2023]
Abstract
Industrial transfer has swept through in China. However, there is still a knowledge gap about its environmental effects. In this study, industrial transfer status was assessed and evaluated by industrial ratios (%; the gross product contributions of the secondary industry to the whole industry) and the impact of such transfer on atmospheric environment (SO2, NO2, PM10 (particles with aerodynamic diameter less than 10 μm), precipitations of SO42-, NO3-, and NH4+) in the 38 districts and counties in Chongqing was analyzed and discussed for the period of 2006-2015. Results showed that industries were transferred obviously from the main urban region (MUR) into the 1-h economic region (OHER). Atmospheric sulfur and PM10 were efficiently put in control, but atmospheric nitrogen (NO2; precipitations of NO3- and NH4+) was increasing and posted a potential threat to air quality especially during 2011-2015. Correlations showed that industrial ratios had significantly positive relationships with concentrations of ambient SO2 and PM10 in the MUR and ambient NO2 in the OHER (p < 0.05) while a remarkably negative one with concentrations of ambient SO2 in the OHER (p < 0.05) during 2006-2015, implying that industrial transfer could be effective in transferring sulfur pollution but not as efficient in transferring atmospheric nitrogen and PM10 pollutions as SO2 between in the MUR and OHER. More measures should be taken to reduce nitrogen and PM10 emission and a regional monitoring network of ambient NH3 is in urgent need.
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Affiliation(s)
- Ying Peng
- School of Environmental Science, Nanjing Xiaozhuang University, Nanjing, 211171, China
| | - Jian Cui
- Institute of Botany, Jiangsu Province and Chinese Academy of Sciences, Nanjing Botanical Garden, Mem. Sun Yat-Sen, Nanjing, 210014, China.
- Center of Atmospheric Environment Research, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, China.
| | - Hongyun Zhu
- School of Environmental Science, Nanjing Xiaozhuang University, Nanjing, 211171, China
| | - Youhui Cao
- Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, China
| | - Ke Du
- Department of Mechanical and Manufacturing Engineering, University of Calgary, Calgary, T2N 1N4, Canada
| | - Dongrui Yao
- Institute of Botany, Jiangsu Province and Chinese Academy of Sciences, Nanjing Botanical Garden, Mem. Sun Yat-Sen, Nanjing, 210014, China
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Mazzei L, Cianci M, Contaldo U, Ciurli S. Insights into Urease Inhibition by N-( n-Butyl) Phosphoric Triamide through an Integrated Structural and Kinetic Approach. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2019; 67:2127-2138. [PMID: 30735374 DOI: 10.1021/acs.jafc.8b04791] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
The nickel-dependent enzyme urease represents a negative element for the efficiency of soil nitrogen fertilization as well as a virulence factor for a large number of pathogenic and antibiotic-resistant bacteria. The development of ever more efficient urease inhibitors demands knowledge of their modes of action at the molecular level. N-( n-Butyl)-phosphoric triamide (NBPTO) is the oxo-derivative of N-( n-butyl)-thiophosphoric triamide (NBPT), which is extensively employed in agriculture to increase the efficiency of urea-based fertilizers. The 1.45 Å resolution structure of the enzyme-inhibitor complex obtained upon incubation of Sporosarcina pasteurii urease (SPU) with NBPTO shows the presence of diamido phosphoric acid (DAP), generated upon enzymatic hydrolysis of NBPTO with the release of n-butyl amine. DAP is bound in a tridentate binding mode to the two Ni(II) ions in the active site of urease via two O atoms and an amide NH2 group, whereas the second amide group of DAP points away from the metal center into the active-site channel. The mobile flap modulating the size of the active-site cavity is found in a disordered closed-open conformation. A kinetic characterization of the NBPTO-based inhibition of both bacterial (SPU) and plant ( Canavalia ensiformis or jack bean, JBU) ureases, carried out by calorimetric measurements, indicates the occurrence of a reversible slow-inhibition mode of action. The latter is characterized by a very small value of the equilibrium dissociation constant of the urease-DAP complex caused, in turn, by the large rate constant for the formation of the enzyme-inhibitor complex. The much greater capability of NBPTO to inhibit urease, as compared with that of NBPT, is thus not caused by the presence of a P═O moiety versus a P═S moiety, as previously suggested, but rather by the readiness of NBPTO to react with urease without the need to convert one of the P-NH2 amide moieties to its P-OH acid derivative, as in the case of NBPT. The latter process is indeed characterized by a very small equilibrium constant that reduces drastically the concentration of the active form of the inhibitor in the case of NBPT. This indicates that high-efficiency phosphoramide-based urease inhibitors must have at least one O atom bound to the central P atom in order for the molecule to efficiently and rapidly bind to the dinickel center of the enzyme.
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Affiliation(s)
- Luca Mazzei
- Laboratory of Bioinorganic Chemistry, Department of Pharmacy and Biotechnology , University of Bologna , 40126 Bologna , Italy
| | - Michele Cianci
- Department of Agricultural, Food and Environmental Sciences , Polytechnic University of Marche , 60121 Ancona , Italy
| | - Umberto Contaldo
- Laboratory of Bioinorganic Chemistry, Department of Pharmacy and Biotechnology , University of Bologna , 40126 Bologna , Italy
| | - Stefano Ciurli
- Laboratory of Bioinorganic Chemistry, Department of Pharmacy and Biotechnology , University of Bologna , 40126 Bologna , Italy
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63
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Chang Y, Zou Z, Zhang Y, Deng C, Hu J, Shi Z, Dore AJ, Collett JL. Assessing Contributions of Agricultural and Nonagricultural Emissions to Atmospheric Ammonia in a Chinese Megacity. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2019; 53:1822-1833. [PMID: 30645946 DOI: 10.1021/acs.est.8b05984] [Citation(s) in RCA: 70] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/12/2023]
Abstract
Ammonia (NH3) is the predominant alkaline gas in the atmosphere contributing to formation of fine particles-a leading environmental cause of increased morbidity and mortality worldwide. Prior findings suggest that NH3 in the urban atmosphere derives from a complex mixture of agricultural (mainly livestock production and fertilizer application) and nonagricultural (e.g., urban waste, fossil fuel-related emissions) sources; however, a citywide holistic assessment is hitherto lacking. Here we show that NH3 from nonagricultural sources rivals agricultural NH3 source contributions in the Shanghai urban atmosphere. We base our conclusion on four independent approaches: (i) a full-year operation of a passive NH3 monitoring network at 14 locations covering urban, suburban, and rural landscapes; (ii) model-measurement comparison of hourly NH3 concentrations at a pair of urban and rural supersites; (iii) source-specific NH3 measurements from emission sources; and (iv) localized isotopic signatures of NH3 sources integrated in a Bayesian isotope mixing model to make isotope-based source apportionment estimates of ambient NH3. Results indicate that nonagricultural sources and agricultural sources are both important contributors to NH3 in the urban atmosphere. These findings highlight opportunities to limit NH3 emissions from nonagricultural sources to help curb PM2.5 pollution in urban China.
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Affiliation(s)
- Yunhua Chang
- Yale-NUIST Center on Atmospheric Environment , Nanjing University of Information Science & Technology , Nanjing 210044 , P. R. China
| | - Zhong Zou
- Department of Environmental Science & Engineering, Institute of Atmospheric Sciences , Fudan University , Shanghai 200433 , P. R. China
| | - Yanlin Zhang
- Yale-NUIST Center on Atmospheric Environment , Nanjing University of Information Science & Technology , Nanjing 210044 , P. R. China
| | - Congrui Deng
- Department of Environmental Science & Engineering, Institute of Atmospheric Sciences , Fudan University , Shanghai 200433 , P. R. China
| | - Jianlin Hu
- School of Environmental Science and Engineering , Nanjing University of Information Science & Technology , Nanjing 210044 , P. R. China
| | - Zhihao Shi
- School of Environmental Science and Engineering , Nanjing University of Information Science & Technology , Nanjing 210044 , P. R. China
| | - Anthony J Dore
- Centre for Ecology & Hydrology Edinburgh , Bush Estate, Penicuik , Midlothian EH26 0QB , United Kingdom
| | - Jeffrey L Collett
- Department of Atmospheric Science , Colorado State University , Fort Collins , Colorado 80523 , United States
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64
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Kang M, Guo H, Wang P, Fu P, Ying Q, Liu H, Zhao Y, Zhang H. Characterization and source apportionment of marine aerosols over the East China Sea. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 651:2679-2688. [PMID: 30463123 DOI: 10.1016/j.scitotenv.2018.10.174] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/11/2018] [Revised: 10/09/2018] [Accepted: 10/12/2018] [Indexed: 06/09/2023]
Abstract
Awareness of the importance of marine atmosphere for accurately estimating global aerosol budget and climate impacts has arisen recently. However, studies are limited due to the difficulty and inconvenience in sampling as well as the diversity of sources. In this study, the Community Multiscale Air Quality (CMAQ) model was applied to investigate the fine particulate matter (PM2.5) and its chemical components over the East China Sea (ECS) and offshore regions. In spite of slight under-predictions, model predictions agree well with observations over the ECS and along the coast. PM2.5 and its major components in the mainland are higher than in marine area, suggesting Asian continent is a major emitter of marine aerosols. PM2.5 and its components in marine regions show higher abundance during daytime than nighttime, while it is opposite in continental regions. Aerosol phase SO42- is the most abundant component of PM2.5 over the ECS with an average concentration of 5.12 μg m-3, followed by NH4+ (1.02 μg m-3) and primary organic aerosol (POA) (0.92 μg m-3). Industry and ship emissions are the top two contributors to primary (PPM) and total PM2.5 over the ECS, while industry and agriculture sectors are major sources for secondary inorganic aerosols (SIA), followed by ship emissions. For terrestrial regions, industry and agriculture are predominant sources of PM2.5 and SIA, while industry and residential activities are the top two contributors to PPM. This study improves the understanding of transport and accumulation of air pollutants over the ECS and adjacent regions, and provides useful information for designing efficient control strategies.
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Affiliation(s)
- Mingjie Kang
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China
| | - Hao Guo
- Department of Civil and Environmental Engineering, Louisiana State University, Baton Rouge, LA 70803, USA
| | - Pengfei Wang
- Department of Civil and Environmental Engineering, Louisiana State University, Baton Rouge, LA 70803, USA
| | - Pingqing Fu
- Institute of Surface-Earth System Science, Tianjin University, Tianjin 300072, China
| | - Qi Ying
- Department of Civil Engineering, Texas A&M University, College Station, TX 77845, USA
| | - Huan Liu
- State Key Joint Laboratory of ESPC, School of Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
| | - Ye Zhao
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China.
| | - Hongliang Zhang
- Department of Civil and Environmental Engineering, Louisiana State University, Baton Rouge, LA 70803, USA.
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65
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Houlton BZ, Almaraz M, Aneja V, Austin AT, Bai E, Cassman KG, Compton JE, Davidson EA, Erisman JW, Galloway JN, Gu B, Yao G, Martinelli LA, Scow K, Schlesinger WH, Tomich TP, Wang C, Zhang X. A world of co-benefits: Solving the global nitrogen challenge. EARTH'S FUTURE 2019; 7:1-8. [PMID: 31501769 PMCID: PMC6733275 DOI: 10.1029/2019ef001222] [Citation(s) in RCA: 48] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2019] [Accepted: 06/26/2019] [Indexed: 05/07/2023]
Abstract
Nitrogen is a critical component of the economy, food security, and planetary health. Many of the world's sustainability targets hinge on global nitrogen solutions, which, in turn, contribute lasting benefits for: (i) world hunger; (ii) soil, air and water quality; (iii) climate change mitigation; and (iv) biodiversity conservation. Balancing the projected rise in agricultural nitrogen demands while achieving these 21st century ideals will require policies to coordinate solutions among technologies, consumer choice, and socioeconomic transformation.
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Affiliation(s)
- Benjamin Z. Houlton
- John Muir Institute of the Environment, University of California, Davis, USA
- Department of Land, Air and Water Resources, University of California, Davis, USA
| | - Maya Almaraz
- Department of Land, Air and Water Resources, University of California, Davis, USA
| | - Viney Aneja
- Department of Marine, Earth and Atmospheric Sciences, North Carolina State University, USA
| | - Amy T. Austin
- Instituto de Investigaciones Fisiol ogicas y Ecol ogicas Vinculadas a la Agricultura (IFEVA) and Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Facultad de Agronomía, Universidad de Buenos Aires, Argentina
| | - Edith Bai
- CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, 110016, China
- School of Geographical Sciences, Northeast Normal University, Changchun, 130024, China
| | | | - Jana E. Compton
- Environmental Protection Agency, Western Ecology Division, USA
| | - Eric A. Davidson
- Appalachian Laboratory, University of Maryland Center for Environmental Science, USA
| | - Jan Willem Erisman
- Department of Earth Sciences, VU Amsterdam and Louis Bolk Institute, Netherlands
| | | | - Baojing Gu
- School of Public Affairs, Zhejiang University, China
| | - Guolin Yao
- Appalachian Laboratory, University of Maryland Center for Environmental Science, USA
| | - Luiz A. Martinelli
- Centro de Energia Nuclear na Agricultura, Univesidade de São Paulo, Brazil
| | - Kate Scow
- Department of Land, Air and Water Resources, University of California, Davis, USA
| | | | - Thomas P. Tomich
- Agricultural Sustainability Institute, University of California, Davis, USA
| | - Chao Wang
- CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, 110016, China
| | - Xin Zhang
- Appalachian Laboratory, University of Maryland Center for Environmental Science, USA
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66
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Dai C, Huang S, Zhou Y, Xu B, Peng H, Qin P, Wu G. Concentrations and emissions of particulate matter and ammonia from extensive livestock farm in South China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2019; 26:1871-1879. [PMID: 30460646 DOI: 10.1007/s11356-018-3766-4] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/24/2018] [Accepted: 11/14/2018] [Indexed: 06/09/2023]
Abstract
Atmospheric particulate matter (PM) and ammonia pollution from livestock feeding have gradually become the environmental concerns due to the spring up of livestock farms in worldwide. However, researches about the formation of atmospheric particulate matter related to ammonia are still limited. Therefore, a study to survey the total suspended particles (TSP), PM with the diameter less than 10 μm (PM10), PM4, PM2.5, PM1, and ammonia was conducted at four types of hog houses distinguished by its building design as well as manure handling methods in South China. Four hog houses were monitored during three fattening periods from 2016 to 2017. The emissions of NH3 per hog house averaged 210.42 μg s-1. The emissions of PM per hog house averaged 2.017 μg h-1 for PM1, 2.149 μg h-1 for PM2.5, 2.305 μg h-1 for PM4, 3.950 μg h-1 for PM10, and 9.317 μg h-1 for TSP. The emissions of PM per hog house average 2.017 μg h-1, 2.149 μg h-1, 2.305 μg h-1, 3.950 μg h-1, and 9.317 μg h-1, respectively for PM1, PM2.5, PM4, PM10, and PM10. In each hog house, while the quantity of manure determined the concentration of NH3, biological fermentation bed was able to control the ammonia volatilization compared with other three manure handling methods. The largest percentage of fine PM (< 10 μm) is produced by the manual waterless method for manure handling. When it came to the manual waterless method, largest amount of fine PM (< 10 μm) was founded to form. Among various contributions of secondary inorganic PM to PM1, the NH3 was a dominant factor. Based on our experiment, the absolute concentration of NH3 was inversely proportional to the concentration of PM1 when the background influence was removed.
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Affiliation(s)
- Chunhao Dai
- College of Resources and Environment, Hunan Agricultural University, Changsha, 410128, China
| | - Shaojian Huang
- College of Resources and Environment, Hunan Agricultural University, Changsha, 410128, China
| | - Yaoyu Zhou
- College of Resources and Environment, Hunan Agricultural University, Changsha, 410128, China.
| | - Bin Xu
- College of Resources and Environment, Hunan Agricultural University, Changsha, 410128, China
| | - Hui Peng
- College of Resources and Environment, Hunan Agricultural University, Changsha, 410128, China.
| | - Pufeng Qin
- College of Resources and Environment, Hunan Agricultural University, Changsha, 410128, China
| | - Genyi Wu
- College of Resources and Environment, Hunan Agricultural University, Changsha, 410128, China
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67
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Leifer I, Melton C, Tratt DM, Buckland KN, Chang CS, Frash J, Hall JL, Kuze A, Leen B, Clarisse L, Lundquist T, Van Damme M, Vigil S, Whitburn S, Yurganov L. Validation of mobile in situ measurements of dairy husbandry emissions by fusion of airborne/surface remote sensing with seasonal context from the Chino Dairy Complex. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2018; 242:2111-2134. [PMID: 30005944 DOI: 10.1016/j.envpol.2018.03.078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/28/2017] [Revised: 03/06/2018] [Accepted: 03/21/2018] [Indexed: 06/08/2023]
Abstract
Mobile in situ concentration and meteorology data were collected for the Chino Dairy Complex in the Los Angeles Basin by AMOG (AutoMObile trace Gas) Surveyor on 25 June 2015 to characterize husbandry emissions in the near and far field in convoy mode with MISTIR (Mobile Infrared Sensor for Tactical Incident Response), a mobile upwards-looking, column remote sensing spectrometer. MISTIR reference flux validated AMOG plume inversions at different information levels including multiple gases, GoogleEarth imagery, and airborne trace gas remote sensing data. Long-term (9-yr.) Infrared Atmospheric Sounding Interferometer satellite data provided spatial and trace gas temporal context. For the Chino dairies, MISTIR-AMOG ammonia (NH3) agreement was within 5% (15.7 versus 14.9 Gg yr-1, respectively) using all information. Methane (CH4) emissions were 30 Gg yr-1 for a 45,200 herd size, indicating that Chino emission factors are greater than previously reported. Single dairy inversions were much less successful. AMOG-MISTIR agreement was 57% due to wind heterogeneity from downwind structures in these near-field measurements and emissions unsteadiness. AMOG CH4, NH3, and CO2 emissions were 91, 209, and 8200 Mg yr-1, implying 2480, 1870, and 1720 head using published emission factors. Plumes fingerprinting identified likely sources including manure storage, cowsheds, and a structure with likely natural gas combustion. NH3 downwind of Chino showed a seasonal variation of a factor of ten, three times larger than literature suggests. Chino husbandry practices and trends in herd size and production were reviewed and unlikely to add seasonality. Higher emission seasonality was proposed as legacy soil emissions, the results of a century of husbandry, supported by airborne remote sensing data showing widespread emissions from neighborhoods that were dairies 15 years prior, and AMOG and MISTIR observations. Seasonal variations provide insights into the implications of global climate change and must be considered when comparing surveys from different seasons.
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Affiliation(s)
- Ira Leifer
- Bubbleology Research International (BRI), 1642 Elm Ave, Solvang CA 93463, United States.
| | - Christopher Melton
- Bubbleology Research International (BRI), 1642 Elm Ave, Solvang CA 93463, United States
| | - David M Tratt
- The Aerospace Corporation, 2310 E. El Segundo Blvd., El Segundo CA 90245, United States
| | - Kerry N Buckland
- The Aerospace Corporation, 2310 E. El Segundo Blvd., El Segundo CA 90245, United States
| | - Clement S Chang
- The Aerospace Corporation, 2310 E. El Segundo Blvd., El Segundo CA 90245, United States
| | - Jason Frash
- Bubbleology Research International (BRI), 1642 Elm Ave, Solvang CA 93463, United States
| | - Jeffrey L Hall
- The Aerospace Corporation, 2310 E. El Segundo Blvd., El Segundo CA 90245, United States
| | | | - Brian Leen
- ABB, 3055 Orchard Drive, San Jose, CA 95134, United States
| | | | - Tryg Lundquist
- California Polytechnic State University, San Luis Obispo, CA 93407, United States
| | | | - Sam Vigil
- California Polytechnic State University, San Luis Obispo, CA 93407, United States
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68
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Du Y, Ge Y, Ren Y, Fan X, Pan K, Lin L, Wu X, Min Y, Meyerson LA, Heino M, Chang SX, Liu X, Mao F, Yang G, Peng C, Qu Z, Chang J, Didham RK. A global strategy to mitigate the environmental impact of China's ruminant consumption boom. Nat Commun 2018; 9:4133. [PMID: 30297840 PMCID: PMC6175953 DOI: 10.1038/s41467-018-06381-0] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2017] [Accepted: 08/28/2018] [Indexed: 02/03/2023] Open
Abstract
Rising demand for ruminant meat and dairy products in developing countries is expected to double anthropogenic greenhouse gas and ammonia emissions from livestock by 2050. Mitigation strategies are urgently needed to meet demand while minimizing environmental impacts. Here, we develop scenarios for mitigating emissions under local vs global supply policies using data from 308 livestock farms across mainland China, where emissions intensities are ~50% higher than those in developed nations. Intensification of domestic production and globalized expansion through increased trade result in reductions in global emissions by nearly 30% over a business-as-usual scenario, but at the expense of trading partners absorbing the associated negative externalities of environmental degradation. Only adoption of a mixed strategy combining global best-practice in sustainable intensification of domestic production, with increased green-source trading as a short-term coping strategy, can meet 2050 demand while minimizing the local and global environmental footprint of China’s ruminant consumption boom. Rising demand for ruminant meat and dairy products in developing nations drives increasing GHG and ammonia emissions from livestock. Authors show here that only long-term adoption of global best-practice in sustainable intensification buffered by a short-term coping strategy of green-source trading can offer a way forward.
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Affiliation(s)
- Yuanyuan Du
- College of Life Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Ying Ge
- College of Life Sciences, Zhejiang University, Hangzhou, 310058, China.,Sustainable Development Research Center, Zhejiang University, Hangzhou, 310058, China
| | - Yuan Ren
- College of Life Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Xing Fan
- College of Life Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Kaixuan Pan
- College of Life Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Linshan Lin
- College of Life Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Xu Wu
- School of Economics, Zhejiang University, Hangzhou, 310058, China.,Zhejiang Economic Information Center (Zhejiang Center for Climate Change and Low-carbon Development Cooperation), Hangzhou, 310006, China
| | - Yong Min
- College of Computer Science, Zhejiang University of Technology, Hangzhou, 310024, China
| | - Laura A Meyerson
- Natural Resources Science, University of Rhode Island, Woodward Hall, 9 East Alumni Avenue, Kingston, RI, 02881, USA
| | - Mikko Heino
- Department of Biology, University of Bergen, PO Box 7803, Bergen, N-5020, Norway.,Institute of Oceanography, National Taiwan University, Taipei, 106, Taiwan
| | - Scott X Chang
- Department of Renewable Resource, University of Alberta, Edmonton, T6G 2E3, Alberta, Canada
| | - Xiaozi Liu
- Institute of Economics, Academia Sinica, Taipei, 115, Taiwan
| | - Feng Mao
- School of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, B15 2TT, UK
| | - Guofu Yang
- College of Life Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Changhui Peng
- Center of CEF/ESCER, Department of Biological Science, University of Quebec at Montreal, Montreal, H3C 3P8, Canada
| | - Zelong Qu
- College of Life Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Jie Chang
- College of Life Sciences, Zhejiang University, Hangzhou, 310058, China. .,Sustainable Development Research Center, Zhejiang University, Hangzhou, 310058, China.
| | - Raphael K Didham
- School of Biological Sciences, The University of Western Australia, M092, 35 Stirling Highway, Crawley, WA, 6009, Australia. .,CSIRO Land and Water, Centre for Environment and Life Sciences, 147 Underwood Ave, Floreat, WA, 6014, Australia.
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69
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Blackstone NT, El-Abbadi NH, McCabe MS, Griffin TS, Nelson ME. Linking sustainability to the healthy eating patterns of the Dietary Guidelines for Americans: a modelling study. Lancet Planet Health 2018; 2:e344-e352. [PMID: 30082049 DOI: 10.1016/s2542-5196(18)30167-0] [Citation(s) in RCA: 72] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2018] [Revised: 07/07/2018] [Accepted: 07/16/2018] [Indexed: 05/28/2023]
Abstract
BACKGROUND Evidence-based nutrition policy is a key mechanism to promote planetary health. In the USA, the Dietary Guidelines for Americans are the foundation of nutrition policy and guide more than US$80 billion in federal spending. Recent attempts have been made to incorporate sustainability into the development of the Dietary Guidelines. However, the sustainability of the 2015-20 Dietary Guidelines remains unclear; research has not yet assessed the environmental impacts of the distinct healthy patterns recommended by the policy. METHODS In this modelling study done at the University of New Hampshire (Durham, NH, USA), we analysed the healthy US-style (US), healthy Mediterranean-style (MED), and healthy vegetarian (VEG) patterns recommended in the 2015-20 Dietary Guidelines for Americans. Food groups and subgroups consisted of 321 commonly consumed foods, with group composition predetermined by the US Department of Agriculture. We compiled and used multiple datasets to assign environmental burdens to foods, focusing on six impact categories of policy importance: global warming potential, land use, water depletion, freshwater and marine eutrophication, and particulate matter or respiratory organics. We did life cycle impact assessments for each of the three diet patterns and compared the six impact categories between the patterns. We also analysed the proportion contribution of the food groups to each impact category in each of the diet patterns. FINDINGS The US and MED patterns had similar impacts, except for freshwater eutrophication. Freshwater eutrophication was 31% lower in the US pattern than the MED pattern, primarily due to increased seafood in the MED pattern. All three patterns had similar water depletion impacts, with fruits and vegetables as major contributors. For five of the six impacts, the VEG pattern had 42-84% lower burdens than both the US and MED patterns. Reliance on plant-based protein and eggs in the VEG pattern versus emphasis on animal-based protein in the other patterns was a key driver of differences, as was a lower overall protein foods recommendation in the VEG pattern. INTERPRETATION The recommended patterns in the Dietary Guidelines for Americans might have starkly different impacts on the environment and other dimensions of human health beyond nutrition. Given the scale of influence of the Dietary Guidelines for Americans on food systems, incorporating sustainability into their development has the potential to have great benefit in terms of long-term food security. FUNDING None.
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Affiliation(s)
- Nicole Tichenor Blackstone
- Sustainability Institute, The University of New Hampshire, Durham, NH, USA; Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA.
| | - Naglaa H El-Abbadi
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
| | | | - Timothy S Griffin
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
| | - Miriam E Nelson
- Sustainability Institute, The University of New Hampshire, Durham, NH, USA; Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA; Hampshire College, Amherst, MA, USA
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70
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Yazan DM, Cafagna D, Fraccascia L, Mes M, Pontrandolfo P, Zijm H. Economic sustainability of biogas production from animal manure: a regional circular economy model. MANAGEMENT RESEARCH REVIEW 2018. [DOI: 10.1108/mrr-02-2018-0053] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Affiliation(s)
- Devrim Murat Yazan
- Department of Industrial Engineering and Business Information Systems, Universiteit Twente, Enschede, The Netherlands
| | - Davide Cafagna
- Department of Mechanics, Mathematics and Management, Politecnico di Bari, Bari, Italy and Department of Industrial Engineering and Business Information Systems, Universiteit Twente, Enschede, The Netherlands
| | - Luca Fraccascia
- Department of Industrial Engineering and Business Information Systems, Universiteit Twente, Enschede, The Netherlands
| | - Martijn Mes
- Department of Industrial Engineering and Business Information Systems, Universiteit Twente, Enschede, The Netherlands
| | | | - Henk Zijm
- Department of Industrial Engineering and Business Information Systems, Universiteit Twente, Enschede, The Netherlands
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71
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Wang Z, Yuan X, Cong S, Chen Z, Li Q, Geng F, Zhao Z. Color-Changing Microfiber-Based Multifunctional Window Screen for Capture and Visualized Monitoring of NH 3. ACS APPLIED MATERIALS & INTERFACES 2018; 10:15065-15072. [PMID: 29648792 DOI: 10.1021/acsami.8b02516] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Air pollution is one of the most serious issues affecting the world today. Instead of expensive and energy-intensive air filtering devices, a fiber-based transparent air filter coated on a window screen is seen as one of the state-of-the-art filtration technologies to combat the seriously growing problem, delivering the advantages of simplicity, convenience, and high filtering efficiency. However, such a window screen is currently limited to particulate matter (PM) filtration and ineffective with other air pollutants. Here, we report the use of a newfangled type of color-changing fibers, porous Prussian blue analogues (CuHCF)/polymer composite microfibers, for transparent window screens toward air pollutant filtration. To increase pollution filtration, pores and dimples are purposely introduced to the fibers using binary solvent systems through a nonsolvent-induced phase separation mechanism. Such composite microfibers overcome some of the limitations of those previously used fibers and could simultaneously capture PM2.5, PM10, and NH3 with high efficiency. More interestingly, a distinct color change is observed upon exposure to air pollutants in such window screens, which provides multifunctional capability of simultaneous pollutant capture and naked eye screening of the pollutant amount. Specifically, in the case of long-term exposure to low-concentration NH3, the symbol displayed in such window screens changes from yellow color to brown and the coloration rate is directly controlled by the NH3 concentration, which may serve as a careful reminder for those people who are repeatedly exposed to low-concentration ammonia gas (referred to as chronic poisoning). In contrast, after short-term exposure to a high concentration of ammonia gas, the yellow symbol immediately becomes blackened, which provides timely information about the risk of acute ammonia poisoning or even ammonia explosion. Further spectroscopic results show that the chromatic behaviors in response to different concentrations of NH3 are fundamentally different, which is related to the different locations of ammonia in the lattice of CuHCF, either in its interstitial sites or at the Fe(CN)6 vacancy sites, largely distinguished by the absence or presence of atmospheric moisture.
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Affiliation(s)
- Zhen Wang
- Key Lab of Nanodevices and Applications, Suzhou Institute of Nano-Tech and Nano-Bionics , Chinese Academy of Sciences , Suzhou 215123 , P. R. China
- School of Nano-Technology and Nano-Bionics , University of Science and Technology of China , Hefei 230000 , China
| | - Xinxin Yuan
- Key Lab of Nanodevices and Applications, Suzhou Institute of Nano-Tech and Nano-Bionics , Chinese Academy of Sciences , Suzhou 215123 , P. R. China
| | - Shan Cong
- Key Lab of Nanodevices and Applications, Suzhou Institute of Nano-Tech and Nano-Bionics , Chinese Academy of Sciences , Suzhou 215123 , P. R. China
| | - Zhigang Chen
- Key Lab of Nanodevices and Applications, Suzhou Institute of Nano-Tech and Nano-Bionics , Chinese Academy of Sciences , Suzhou 215123 , P. R. China
- School of Nano-Technology and Nano-Bionics , University of Science and Technology of China , Hefei 230000 , China
| | - Qingwen Li
- Key Lab of Nanodevices and Applications, Suzhou Institute of Nano-Tech and Nano-Bionics , Chinese Academy of Sciences , Suzhou 215123 , P. R. China
- School of Nano-Technology and Nano-Bionics , University of Science and Technology of China , Hefei 230000 , China
| | - Fengxia Geng
- College of Chemistry, Chemical Engineering and Materials Science , Soochow University , Suzhou 215123 , China
| | - Zhigang Zhao
- Key Lab of Nanodevices and Applications, Suzhou Institute of Nano-Tech and Nano-Bionics , Chinese Academy of Sciences , Suzhou 215123 , P. R. China
- School of Nano-Technology and Nano-Bionics , University of Science and Technology of China , Hefei 230000 , China
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Xu P, Koloutsou-Vakakis S, Rood MJ, Luan S. Projections of NH 3 emissions from manure generated by livestock production in China to 2030 under six mitigation scenarios. THE SCIENCE OF THE TOTAL ENVIRONMENT 2017; 607-608:78-86. [PMID: 28688258 DOI: 10.1016/j.scitotenv.2017.06.258] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/07/2017] [Revised: 06/27/2017] [Accepted: 06/28/2017] [Indexed: 06/07/2023]
Abstract
China's rapid urbanization, large population, and increasing consumption of calorie-and meat-intensive diets, have resulted in China becoming the world's largest source of ammonia (NH3) emissions from livestock production. This is the first study to use provincial, condition-specific emission factors based on most recently available studies on Chinese manure management and environmental conditions. The estimated NH3 emission temporal trends and spatial patterns are interpreted in relation to government policies affecting livestock production. Scenario analysis is used to project emissions and estimate mitigation potential of NH3 emissions, to year 2030. We produce a 1km×1km gridded NH3 emission inventory for 2008 based on county-level activity data, which can help identify locations of highest NH3 emissions. The total NH3 emissions from manure generated by livestock production in 2008 were 7.3TgNH3·yr-1 (interquartile range from 6.1 to 8.6TgNH3·yr-1), and the major sources were poultry (29.9%), pigs (28.4%), other cattle (27.9%), and dairy cattle (7.0%), while sheep and goats (3.6%), donkeys (1.3%), horses (1.2%), and mules (0.7%) had smaller contributions. From 1978 to 2008, annual NH3 emissions fluctuated with two peaks (1996 and 2006), and total emissions increased from 2.2 to 7.3Tg·yr-1 increasing on average 4.4%·yr-1. Under a business-as-usual (BAU) scenario, NH3 emissions in 2030 are expected to be 13.9TgNH3·yr-1 (11.5-16.3TgNH3·yr-1). Under mitigation scenarios, the projected emissions could be reduced by 18.9-37.3% compared to 2030 BAU emissions. This study improves our understanding of NH3 emissions from livestock production, which is needed to guide stakeholders and policymakers to make well informed mitigation decisions for NH3 emissions from livestock production at the country and regional levels.
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Affiliation(s)
- Peng Xu
- College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China; Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Sotiria Koloutsou-Vakakis
- Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
| | - Mark J Rood
- Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Shengji Luan
- College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China.
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73
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Guo H, Kota SH, Sahu SK, Hu J, Ying Q, Gao A, Zhang H. Source apportionment of PM 2.5 in North India using source-oriented air quality models. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2017; 231:426-436. [PMID: 28830016 DOI: 10.1016/j.envpol.2017.08.016] [Citation(s) in RCA: 57] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/07/2017] [Revised: 07/19/2017] [Accepted: 08/04/2017] [Indexed: 05/18/2023]
Abstract
In recent years, severe pollution events were observed frequently in India especially at its capital, New Delhi. However, limited studies have been conducted to understand the sources to high pollutant concentrations for designing effective control strategies. In this work, source-oriented versions of the Community Multi-scale Air Quality (CMAQ) model with Emissions Database for Global Atmospheric Research (EDGAR) were applied to quantify the contributions of eight source types (energy, industry, residential, on-road, off-road, agriculture, open burning and dust) to fine particulate matter (PM2.5) and its components including primary PM (PPM) and secondary inorganic aerosol (SIA) i.e. sulfate, nitrate and ammonium ions, in Delhi and three surrounding cities, Chandigarh, Lucknow and Jaipur in 2015. PPM mass is dominated by industry and residential activities (>60%). Energy (∼39%) and industry (∼45%) sectors contribute significantly to PPM at south of Delhi, which reach a maximum of 200 μg/m3 during winter. Unlike PPM, SIA concentrations from different sources are more heterogeneous. High SIA concentrations (∼25 μg/m3) at south Delhi and central Uttar Pradesh were mainly attributed to energy, industry and residential sectors. Agriculture is more important for SIA than PPM and contributions of on-road and open burning to SIA are also higher than to PPM. Residential sector contributes highest to total PM2.5 (∼80 μg/m3), followed by industry (∼70 μg/m3) in North India. Energy and agriculture contribute ∼25 μg/m3 and ∼16 μg/m3 to total PM2.5, while SOA contributes <5 μg/m3. In Delhi, industry and residential activities contribute to 80% of total PM2.5.
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Affiliation(s)
- Hao Guo
- Department of Civil and Environmental Engineering, Louisiana State University, Baton Rouge, LA 70803, USA
| | - Sri Harsha Kota
- Department of Civil Engineering, Indian Institute of Technology Guwahati, 781039, India
| | - Shovan Kumar Sahu
- Department of Civil Engineering, Indian Institute of Technology Guwahati, 781039, India
| | - Jianlin Hu
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Engineering Technology Research Center of Environmental Cleaning Materials, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, 219 Ningliu Road, Nanjing 210044, China
| | - Qi Ying
- Zachry Department of Civil Engineering, Texas A&M University, College Station, TX 77843, USA
| | - Aifang Gao
- School of Water Resources and Environment, Hebei GEO University, Shijiazhuang, Hebei Province 050031, China; Hebei Key Laboratory of Sustained Utilization and Development of Water Resources, Shijiazhuang, Hebei Province 050031, China
| | - Hongliang Zhang
- Department of Civil and Environmental Engineering, Louisiana State University, Baton Rouge, LA 70803, USA; Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Engineering Technology Research Center of Environmental Cleaning Materials, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, 219 Ningliu Road, Nanjing 210044, China.
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74
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Pillar-Little EA, Guzman MI. Oxidation of Substituted Catechols at the Air-Water Interface: Production of Carboxylic Acids, Quinones, and Polyphenols. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2017; 51:4951-4959. [PMID: 28394572 DOI: 10.1021/acs.est.7b00232] [Citation(s) in RCA: 44] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
Anthropogenic activities contribute benzene, toluene, and anisole to the environment, which in the atmosphere are converted into the respective phenols, cresols, and methoxyphenols by fast gas-phase reaction with hydroxyl radicals (HO•). Further processing of the latter species by HO• decreases their vapor pressure as a second hydroxyl group is incorporated to accelerate their oxidative aging at interfaces and in aqueous particles. This work shows how catechol, pyrogallol, 3-methylcatechol, 4-methylcatechol, and 3-methoxycatechol (all proxies for oxygenated aromatics derived from benzene, toluene, and anisole) react at the air-water interface with increasing O3(g) during τc ≈ 1 μs contact time and contrasts their potential for electron transfer and in situ production of HO• using structure-activity relationships. A unifying mechanism is provided to explain the oxidation of the five proxies, which includes the generation of semiquinone radicals. Functionalization in the presence of HO• results in the formation of polyphenols and hydroxylated quinones. Instead, fragmentation produces polyfunctional low molecular weight carboxylic acids after oxidative cleavage of the aromatic bond with two vicinal hydroxy groups to yield substituted cis,cis-muconic acids. The generation of maleinaldehydic, maleic, pyruvic, glyoxylic, and oxalic acids confirms the potential of oxy aromatics to produce light-absorbing aqueous secondary organic aerosols in the troposphere.
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Affiliation(s)
| | - Marcelo I Guzman
- Department of Chemistry, University of Kentucky , Lexington, Kentucky 40506, United States
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Sun K, Tao L, Miller DJ, Pan D, Golston LM, Zondlo MA, Griffin RJ, Wallace HW, Leong YJ, Yang MM, Zhang Y, Mauzerall DL, Zhu T. Vehicle Emissions as an Important Urban Ammonia Source in the United States and China. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2017; 51:2472-2481. [PMID: 28140570 DOI: 10.1021/acs.est.6b02805] [Citation(s) in RCA: 96] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
Ammoniated aerosols are important for urban air quality, but emissions of the key precursor NH3 are not well quantified. Mobile laboratory observations are used to characterize fleet-integrated NH3 emissions in six cities in the U.S. and China. Vehicle NH3:CO2 emission ratios in the U.S. are similar between cities (0.33-0.40 ppbv/ppmv, 15% uncertainty) despite differences in fleet composition, climate, and fuel composition. While Beijing, China has a comparable emission ratio (0.36 ppbv/ppmv) to the U.S. cities, less developed Chinese cities show higher emission ratios (0.44 and 0.55 ppbv/ppmv). If the vehicle CO2 inventories are accurate, NH3 emissions from U.S. vehicles (0.26 ± 0.07 Tg/yr) are more than twice those of the National Emission Inventory (0.12 Tg/yr), while Chinese NH3 vehicle emissions (0.09 ± 0.02 Tg/yr) are similar to a bottom-up inventory. Vehicle NH3 emissions are greater than agricultural emissions in counties containing near half of the U.S. population and require reconsideration in urban air quality models due to their colocation with other aerosol precursors and the uncertainties regarding NH3 losses from upwind agricultural sources. Ammonia emissions in developing cities are especially important because of their high emission ratios and rapid motorizations.
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Affiliation(s)
- Kang Sun
- Department of Civil and Environmental Engineering, Princeton University , Princeton, New Jersey 08544, United States
- Center for Mid-Infrared Technologies for Health and the Environment, NSF-ERC, Princeton, New Jersey 08544, United States
| | - Lei Tao
- Department of Civil and Environmental Engineering, Princeton University , Princeton, New Jersey 08544, United States
- Center for Mid-Infrared Technologies for Health and the Environment, NSF-ERC, Princeton, New Jersey 08544, United States
| | - David J Miller
- Department of Civil and Environmental Engineering, Princeton University , Princeton, New Jersey 08544, United States
- Center for Mid-Infrared Technologies for Health and the Environment, NSF-ERC, Princeton, New Jersey 08544, United States
| | - Da Pan
- Department of Civil and Environmental Engineering, Princeton University , Princeton, New Jersey 08544, United States
- Center for Mid-Infrared Technologies for Health and the Environment, NSF-ERC, Princeton, New Jersey 08544, United States
| | - Levi M Golston
- Department of Civil and Environmental Engineering, Princeton University , Princeton, New Jersey 08544, United States
- Center for Mid-Infrared Technologies for Health and the Environment, NSF-ERC, Princeton, New Jersey 08544, United States
| | - Mark A Zondlo
- Department of Civil and Environmental Engineering, Princeton University , Princeton, New Jersey 08544, United States
- Center for Mid-Infrared Technologies for Health and the Environment, NSF-ERC, Princeton, New Jersey 08544, United States
| | - Robert J Griffin
- Department of Civil and Environmental Engineering, Rice University , Houston, Texas 77005, United States
| | - H W Wallace
- Department of Civil and Environmental Engineering, Rice University , Houston, Texas 77005, United States
| | - Yu Jun Leong
- Department of Civil and Environmental Engineering, Rice University , Houston, Texas 77005, United States
| | - M Melissa Yang
- Chemistry and Dynamics Branch, NASA Langley Research Center, Hampton, Virginia 23681, United States
| | - Yan Zhang
- Nanjing P&Y Environmental Technology Co., Ltd., Nanjing, Jiangsu 210014, China
| | - Denise L Mauzerall
- Department of Civil and Environmental Engineering, Princeton University , Princeton, New Jersey 08544, United States
- Woodrow Wilson School of Public and International Affairs, Princeton University , Princeton, New Jersey 08544, United States
| | - Tong Zhu
- State Key Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University , Beijing 100871, China
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76
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Leifer I, Melton C, Tratt DM, Buckland KN, Clarisse L, Coheur P, Frash J, Gupta M, Johnson PD, Leen JB, Van Damme M, Whitburn S, Yurganov L. Remote sensing and in situ measurements of methane and ammonia emissions from a megacity dairy complex: Chino, CA. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2017; 221:37-51. [PMID: 27993424 DOI: 10.1016/j.envpol.2016.09.083] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/04/2016] [Revised: 09/23/2016] [Accepted: 09/27/2016] [Indexed: 06/06/2023]
Abstract
Methane (CH4) and ammonia (NH3) directly and indirectly affect the atmospheric radiative balance with the latter leading to aerosol generation. Both have important spectral features in the Thermal InfraRed (TIR) that can be studied by remote sensing, with NH3 allowing discrimination of husbandry from other CH4 sources. Airborne hyperspectral imagery was collected for the Chino Dairy Complex in the Los Angeles Basin as well as in situ CH4, carbon dioxide (CO2) and NH3 data. TIR data showed good spatial agreement with in situ measurements and showed significant emissions heterogeneity between dairies. Airborne remote sensing mapped plume transport for ∼20 km downwind, documenting topographic effects on plume advection. Repeated multiple gas in situ measurements showed that emissions were persistent on half-year timescales. Inversion of one dairy plume found annual emissions of 4.1 × 105 kg CH4, 2.2 × 105 kg NH3, and 2.3 × 107 kg CO2, suggesting 2300, 4000, and 2100 head of cattle, respectively, and Chino Dairy Complex emissions of 42 Gg CH4 and 8.4 Gg NH3 implying ∼200k cows, ∼30% more than Peischl et al. (2013) estimated for June 2010. Far-field data showed chemical conversion and/or deposition of Chino NH3 occurs within the confines of the Los Angeles Basin on a four to six h timescale, faster than most published rates, and likely from higher Los Angeles oxidant loads. Satellite observations from 2011 to 2014 confirmed that observed in situ transport patterns were representative and suggests much of the Chino Dairy Complex emissions are driven towards eastern Orange County, with a lesser amount transported to Palm Springs, CA. Given interest in mitigating husbandry health impacts from air pollution emissions, this study highlights how satellite observations can be leveraged to understand exposure and how multiple gas in situ emissions studies can inform on best practices given that emissions reduction of one gas could increase those of others.
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Affiliation(s)
- Ira Leifer
- Bubbleology Research International (BRI), Solvang, CA 93463, United States.
| | - Christopher Melton
- Bubbleology Research International (BRI), Solvang, CA 93463, United States
| | - David M Tratt
- The Aerospace Corporation, 2310 E. El Segundo Blvd., El Segundo, CA 90245, United States
| | - Kerry N Buckland
- The Aerospace Corporation, 2310 E. El Segundo Blvd., El Segundo, CA 90245, United States
| | | | - Pierre Coheur
- Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Jason Frash
- Bubbleology Research International (BRI), Solvang, CA 93463, United States
| | - Manish Gupta
- ABB, 3055 Orchard Drive, San Jose, CA 95134, United States
| | - Patrick D Johnson
- The Aerospace Corporation, 2310 E. El Segundo Blvd., El Segundo, CA 90245, United States
| | - J Brian Leen
- ABB, 3055 Orchard Drive, San Jose, CA 95134, United States
| | | | | | - Leonid Yurganov
- University of Maryland, Baltimore County (UMBC), Baltimore, MD 21250, United States
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77
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Duncan EW, Dell CJ, Kleinman PJA, Beegle DB. Nitrous Oxide and Ammonia Emissions from Injected and Broadcast-Applied Dairy Slurry. JOURNAL OF ENVIRONMENTAL QUALITY 2017; 46:36-44. [PMID: 28177424 DOI: 10.2134/jeq2016.05.0171] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
Trade-offs associated with surface application or injection of manure pose important environmental and agronomic concerns. Manure injection can conserve nitrogen (N) by decreasing ammonia (NH) volatilization. However, the injection band also creates conditions that potentially favor nitrous oxide (NO) production: an abundant organic substrate-promoting microbial activity, anaerobic conditions favoring denitrification, and large local concentrations of N. We assessed differences in NH volatilization and NO emissions with broadcast application versus shallow disk injection of dairy slurry during the 2011 to 2013 growing seasons on a well-drained silt loam that received average manure-N application rates of 180 kg N ha via injection or 200 kg N ha via broadcast. Ammonia emissions were measured using a photoacoustic gas analyzer and chambers, and NO emissions were measured using syringes to draw timed samples from vented chambers with analysis by gas chromatograph. Results point to a 92 to 98% (3.02-11.05 kg NH-N ha) reduction in NH volatilization (for the initial sampling) with injection compared with broadcasting manure but also reveal 84 to 152% (725.9-3187.8 g NO-N ha) greater cumulative NO emissions. Although losses of N via NO emission were at least three orders of magnitude less than NH volatilization, their potential role as a greenhouse gas is of concern. Despite the potential greenhouse gas trade-offs associated with shallow disk injection of manure, decreasing NH volatilization provides a substantial benefit, especially to farmers who are trying to conserve N and improve the N/P ratio of soil-applied manure.
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78
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Takahashi A, Tanaka H, Parajuli D, Nakamura T, Minami K, Sugiyama Y, Hakuta Y, Ohkoshi SI, Kawamoto T. Historical Pigment Exhibiting Ammonia Gas Capture beyond Standard Adsorbents with Adsorption Sites of Two Kinds. J Am Chem Soc 2016; 138:6376-9. [PMID: 27147127 DOI: 10.1021/jacs.6b02721] [Citation(s) in RCA: 72] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Prussian blue is a historical pigment synthesized for the first time at the beginning of 18th century. Here we demonstrate that the historical pigment exhibits surprising adsorption properties of gaseous ammonia. Prussian blue shows 12.5 mmol/g of ammonia capacity at 0.1 MPa, whereas standard ammonia adsorbents show only 5.08-11.3 mmol/g. Dense adsorption was also observed for trace contamination in atmosphere. Results also show higher adsorption by Prussian blue analogues with the optimization of chemical composition. The respective capacities of cobalt hexacyanocobaltate (CoHCC) and copper hexacyanoferrate (CuHCF) were raised to 21.9 and 20.2 mmol/g, the highest value among the recyclable adsorbents. Also, CoHCC showed repeated adsorption in vacuum. CuHCF showed regeneration by acid washing. The chemical state of the adsorbed ammonia depends on the presence of the water in atmosphere: NH3, which was stored as in the dehydrated case, was converted into NH4(+) in the hydrated case.
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Affiliation(s)
- Akira Takahashi
- Nanomaterials Research Institute, National Institute of Advanced Industrial Science and Technology (AIST) , 1-1-1 Higashi, Tsukuba 305-8565, Japan.,Department of Chemistry, School of Science, The University of Tokyo , 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
| | - Hisashi Tanaka
- Nanomaterials Research Institute, National Institute of Advanced Industrial Science and Technology (AIST) , 1-1-1 Higashi, Tsukuba 305-8565, Japan
| | - Durga Parajuli
- Nanomaterials Research Institute, National Institute of Advanced Industrial Science and Technology (AIST) , 1-1-1 Higashi, Tsukuba 305-8565, Japan
| | - Tohru Nakamura
- Nanomaterials Research Institute, National Institute of Advanced Industrial Science and Technology (AIST) , 1-1-1 Higashi, Tsukuba 305-8565, Japan
| | - Kimitaka Minami
- Nanomaterials Research Institute, National Institute of Advanced Industrial Science and Technology (AIST) , 1-1-1 Higashi, Tsukuba 305-8565, Japan
| | - Yutaka Sugiyama
- Nanomaterials Research Institute, National Institute of Advanced Industrial Science and Technology (AIST) , 1-1-1 Higashi, Tsukuba 305-8565, Japan
| | - Yukiya Hakuta
- Nanomaterials Research Institute, National Institute of Advanced Industrial Science and Technology (AIST) , 1-1-1 Higashi, Tsukuba 305-8565, Japan
| | - Shin-Ichi Ohkoshi
- Department of Chemistry, School of Science, The University of Tokyo , 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
| | - Tohru Kawamoto
- Nanomaterials Research Institute, National Institute of Advanced Industrial Science and Technology (AIST) , 1-1-1 Higashi, Tsukuba 305-8565, Japan
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79
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Increasing importance of deposition of reduced nitrogen in the United States. Proc Natl Acad Sci U S A 2016; 113:5874-9. [PMID: 27162336 DOI: 10.1073/pnas.1525736113] [Citation(s) in RCA: 143] [Impact Index Per Article: 17.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Rapid development of agriculture and fossil fuel combustion greatly increased US reactive nitrogen emissions to the atmosphere in the second half of the 20th century, resulting in excess nitrogen deposition to natural ecosystems. Recent efforts to lower nitrogen oxides emissions have substantially decreased nitrate wet deposition. Levels of wet ammonium deposition, by contrast, have increased in many regions. Together these changes have altered the balance between oxidized and reduced nitrogen deposition. Across most of the United States, wet deposition has transitioned from being nitrate-dominated in the 1980s to ammonium-dominated in recent years. Ammonia has historically not been routinely measured because there are no specific regulatory requirements for its measurement. Recent expansion in ammonia observations, however, along with ongoing measurements of nitric acid and fine particle ammonium and nitrate, permit new insight into the balance of oxidized and reduced nitrogen in the total (wet + dry) US nitrogen deposition budget. Observations from 37 sites reveal that reduced nitrogen contributes, on average, ∼65% of the total inorganic nitrogen deposition budget. Dry deposition of ammonia plays an especially key role in nitrogen deposition, contributing from 19% to 65% in different regions. Future progress toward reducing US nitrogen deposition will be increasingly difficult without a reduction in ammonia emissions.
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80
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Chen Y, Li L, Li J, Ouyang K, Yang J. Ammonia capture and flexible transformation of M-2(INA) (M=Cu, Co, Ni, Cd) series materials. JOURNAL OF HAZARDOUS MATERIALS 2016; 306:340-347. [PMID: 26780590 DOI: 10.1016/j.jhazmat.2015.12.046] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/12/2015] [Revised: 12/22/2015] [Accepted: 12/23/2015] [Indexed: 06/05/2023]
Abstract
With the conflicting problems of pollution due to ammonia emissions and the demand for ammonia, we propose M-2(INA) (M=Cu, Co, Ni, Cd) (INA=isonicotinic acid), a series of materials that exhibit flexible conversion in ammonia adsorption. They can capture both wet and dry ammonia for recycling. The materials were obtained by dehydration of coordination materials M(INA)2(H2O)4 (M=Cu, Co, Ni, Cd) (150°C) at atmospheric pressure for 2h. M-2(INA) could reversibly transform to the stable coordination compounds M(INA)2(H2O)2(NH3)2 by adsorbing ammonia in the presence of moisture. The capacity for pure ammonia could reach 12-13mmol/g. Importantly, these materials could stably retain NH3 at a maximum temperature of 80°C and could regenerate below 150°C with no performance loss.
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Affiliation(s)
- Yang Chen
- Research Institute of Special Chemicals, Taiyuan University of Technology, Taiyuan, 030024 Shanxi, PR China
| | - Libo Li
- Research Institute of Special Chemicals, Taiyuan University of Technology, Taiyuan, 030024 Shanxi, PR China
| | - Jinping Li
- Research Institute of Special Chemicals, Taiyuan University of Technology, Taiyuan, 030024 Shanxi, PR China.
| | - Kun Ouyang
- Research Institute of Special Chemicals, Taiyuan University of Technology, Taiyuan, 030024 Shanxi, PR China
| | - Jiangfeng Yang
- Research Institute of Special Chemicals, Taiyuan University of Technology, Taiyuan, 030024 Shanxi, PR China.
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81
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Zhou F, Ciais P, Hayashi K, Galloway J, Kim DG, Yang C, Li S, Liu B, Shang Z, Gao S. Re-estimating NH3 Emissions from Chinese Cropland by a New Nonlinear Model. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2016; 50:564-572. [PMID: 26710302 DOI: 10.1021/acs.est.5b03156] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
Ammonia (NH3) released to the atmosphere leads to a cascade of impacts on the environment, yet estimation of NH3 volatilization from cropland soils (VNH3) in a broad spatial scale is still quite uncertain in China. This mainly stems from nonlinear relationships between VNH3 and relevant factors. On the basis of 495 site-years of measurements at 78 sites across Chinese croplands, we developed a nonlinear Bayesian tree regression model to determine how environmental factors modulate the local derivative of VNH3 to nitrogen application rates (Nrate) (VR, %). The VNH3-Nrate relationship was nonlinear. The VR of upland soils and paddy soils depended primarily on local water input and Nrate, respectively. Our model demonstrated good reproductions of VNH3 compared to previous models, i.e., more than 91% of the observed VR variance at sites in China and 79% of those at validation sites outside China. The observed spatial pattern of VNH3 in China agreed well with satellite-based estimates of NH3 column concentrations. The average VRs in China derived from our model were 14.8 ± 2.9% and 11.8 ± 2.0% for upland soils and paddy soils, respectively. The estimated annual NH3 emission in China (3.96 ± 0.76 TgNH3·yr(-1)) was 40% greater than that based on the IPCC Tier 1 guideline.
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Affiliation(s)
- Feng Zhou
- Institute of Integrated Watershed Management, Sino-France Institute of Earth Systems Science, Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University , Beijing, 100871, P.R. China
| | - Philippe Ciais
- Laboratoire des Sciences du Climat et de l'Environnement, CEA CNRS UVSQ , 91191 Gif-sur-Yvette, France
| | - Kentaro Hayashi
- Carbon and Nutrient Cycles Division, National Institute for Agro-Environmental Sciences , 3-1-3, Kannondai, Tsukuba, Ibaraki 305-8604, Japan
| | - James Galloway
- Environmental Sciences Department, University of Virginia , Charlottesville, Virginia 22904, United States
| | - Dong-Gill Kim
- Wondo Genet College of Forestry and Natural Resources, Hawassa University , Shashemene, Ethiopia
| | - Changliang Yang
- Research Institute of Engineering Technology, Yunnan University , Kunming, 650091, P.R. China
| | - Shiyu Li
- Research Institute of Engineering Technology, Yunnan University , Kunming, 650091, P.R. China
| | - Bin Liu
- Research Institute of Engineering Technology, Yunnan University , Kunming, 650091, P.R. China
| | - Ziyin Shang
- Institute of Integrated Watershed Management, Sino-France Institute of Earth Systems Science, Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University , Beijing, 100871, P.R. China
| | - Shuoshuo Gao
- Institute of Integrated Watershed Management, Sino-France Institute of Earth Systems Science, Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University , Beijing, 100871, P.R. China
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82
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Yang Q, Tian H, Li X, Ren W, Zhang B, Zhang X, Wolf J. Spatiotemporal patterns of livestock manure nutrient production in the conterminous United States from 1930 to 2012. THE SCIENCE OF THE TOTAL ENVIRONMENT 2016; 541:1592-1602. [PMID: 26519911 DOI: 10.1016/j.scitotenv.2015.10.044] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/19/2015] [Revised: 10/08/2015] [Accepted: 10/08/2015] [Indexed: 05/22/2023]
Abstract
Manure nitrogen (N) and phosphorus (P) from livestock husbandry are important components of terrestrial biogeochemical cycling. Assessment of the impacts of livestock manure on terrestrial biogeochemistry requires a compilation and analysis of spatial and temporal patterns of manure nutrients. In this study, we reconstructed county-level manure nutrient data of the conterminous United States (U.S.) in 4- to 5-year increments from 1930 to 2012. Manure N and P were 5.8 9 ± 0.64 Tg N yr.(-1) (Mean ± Standard Deviation) and 1.73 ± 0.29 Tg Pyr.(-1) (1 Tg = 10(12)g), and increased by 46% and 92% from 1930 to 2012, respectively. Prior to 1970, manure provided more N to the U.S. lands than chemical fertilizer use. Since 1970, however, increasing chemical N fertilizer use has exceeded manure N production. Manure was the primary P source in the U.S. during 1930-1969 and 1987-2012, but was lower than P fertilizer use in 1974, 1978, and 1982. High-nutrient-production regions shifted towards eastern and western areas of the U.S. Decreasing small farms and increasing Concentrated Animal Feeding Operations (CAFOs) induced concentrated spatial patterns in manure nutrient loads. Counties with cattle or poultry as the primary manure nutrient contributors expanded significantly from 1930 to 2012, whereas regions with sheep and hog as the primary contributors decreased. We identified regions facing environmental threats associated with livestock farming. Effective management of manure should consider the impacts of CAFOs in manure production, and changes in livestock population structure. The long-term county-level manure nutrient dataset provides improved spatial and temporal information on manure nutrients in the U.S. This dataset is expected to help advance research on nutrient cycling, ammonia volatilization, greenhouse gas (GHG) emissions from livestock husbandry, recovery and reuse of manure nutrients, and impacts of livestock feeding on human health in the context of global change.
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Affiliation(s)
- Qichun Yang
- International Center for Climate and Global Change Research, School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL 36849, USA; Joint Global Change Research Institute, Pacific Northwest National Lab, College Park, MD 20740, USA.
| | - Hanqin Tian
- International Center for Climate and Global Change Research, School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL 36849, USA.
| | - Xia Li
- International Center for Climate and Global Change Research, School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL 36849, USA
| | - Wei Ren
- International Center for Climate and Global Change Research, School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL 36849, USA; Department of Plant & Soil Sciences, College of Agriculture, Food and Environment, University of Kentucky, Lexington, KY 40506, USA
| | - Bowen Zhang
- International Center for Climate and Global Change Research, School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL 36849, USA
| | - Xuesong Zhang
- Great Lakes Bioenergy Research Center, Michigan State University, East Lansing, MI 48824, USA
| | - Julie Wolf
- Joint Global Change Research Institute, Pacific Northwest National Lab, College Park, MD 20740, USA
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83
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Brunekreef B, Harrison RM, Künzli N, Querol X, Sutton MA, Heederik DJJ, Sigsgaard T. Reducing the health effect of particles from agriculture. THE LANCET RESPIRATORY MEDICINE 2015; 3:831-2. [PMID: 26454352 DOI: 10.1016/s2213-2600(15)00413-0] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/22/2015] [Accepted: 09/24/2015] [Indexed: 11/28/2022]
Affiliation(s)
- Bert Brunekreef
- Institute for Risk Assessment Sciences and Julius Center for Health Sciences and Primary Care UMCU, Utrecht University, PO Box 80178, 3508 TD Utrecht, Netherlands.
| | - Roy M Harrison
- National Centre for Atmospheric Science, School of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, UK; Department of Environmental Sciences/Center of Excellence in Environmental Studies, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Nino Künzli
- Swiss Tropical and Public Health Institute Basel, Switzerland and University of Basel, Basel, Switzerland
| | - Xavier Querol
- Institute of Environmental Assessment and Water Research (IDAEA-CSIC), Barcelona, Spain
| | - Mark A Sutton
- Natural Environment Research Council (NERC) Centre for Ecology and Hydrology, Edinburgh Research Station, Bush Estate, Penicuik, EH26 0QB, UK
| | - Dick J J Heederik
- Institute for Risk Assessment Sciences and Julius Center for Health Sciences and Primary Care UMCU, Utrecht University, PO Box 80178, 3508 TD Utrecht, Netherlands
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84
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Bishop GA, Stedman DH. Reactive Nitrogen Species Emission Trends in Three Light-/Medium-Duty United States Fleets. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2015; 49:11234-11240. [PMID: 26322956 DOI: 10.1021/acs.est.5b02392] [Citation(s) in RCA: 57] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
Repeated, fuel-specific, emission measurements in Denver (2005/2013), Los Angeles (LA) (2008/2013), and Tulsa (2005/2013) provide long-term trends in on-road reactive nitrogen emissions from three light-/medium-duty U.S. fleets. Reductions in oxides of nitrogen (NOx) emissions ranged from 21% in Denver (from 5.6 ± 1.3 to 4.4 ± 0.2 g of NOx/kg of fuel) to 43% in Tulsa (from 4.4 ± 0.3 to 2.5 ± 0.1 g of NOx/kg of fuel) since 2005, while decreases in fleet ammonia (NH3) emissions ranged from no change in Denver (from 0.45 ± 0.09 to 0.44 ± 0.02 g of NH3/kg of fuel) since 2005 to a 28% decrease in LA (from 0.80 ± 0.02 to 0.58 ± 0.02 g of NH3/kg of fuel) since 2008. The majority of the reduction in gasoline vehicle NOx emissions occurred prior to the full implementation of the Tier II emission standards in 2009. High in-use NOx emissions from small-engine diesel passenger vehicles produced a significant contribution to the fleet means despite their small numbers. NH3 emissions decreased at a slower rate than NOx emissions as a result of modest NH3 emission reduction among the newest vehicles and increased emissions from a growing number of older vehicles with active catalytic converters. In addition, the reactive nitrogen emissions from many new model year vehicles are now dominated by NH3.
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Affiliation(s)
- Gary A Bishop
- Department of Chemistry and Biochemistry, University of Denver , Denver, Colorado 80208, United States
| | - Donald H Stedman
- Department of Chemistry and Biochemistry, University of Denver , Denver, Colorado 80208, United States
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85
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Bachmann TM. Assessing Air Pollutant-Induced, Health-Related External Costs in the Context of Nonmarginal System Changes: A Review. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2015; 49:9503-9517. [PMID: 26237285 DOI: 10.1021/acs.est.5b01623] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
Marginal analysis is the usual approach to environmental economic assessment, for instance, of health-related external costs due to energy-associated air pollutant emissions. However, nonlinearity exists in all steps of their assessment, i.e., atmospheric dispersion, impact assessment, and monetary valuation. Dedicated assessments thus appear necessary when evaluating large systems or their changes such as in green accounting or the implications of economy-wide energy transitions. Corresponding approaches are reviewed. Tools already exist that allow assessing a marginal change (e.g., one power plant's emissions) for different background emission scenarios that merely need to be defined and implemented. When assessing nonmarginal changes, the top-down approach is considered obsolete, and four variants of the bottom-up approach with different application domains were identified. Variants 1 and 2 use precalculated external cost factors with different levels of sophistication, suitable for energy systems modeling, optimizing for social (i.e., private and external) costs. Providing more reliable results due to more detailed modeling, emission sources are assessed individually or jointly in variants 3 and 4, respectively. Aiming at considering nonlinearity more fully and simultaneously following marginal analysis principles, I propose a variant 3-based approach, subdividing an aggregate (i.e., a nonmarginal change) into several smaller changes. Its strengths and drawbacks, notably the associated effort, are discussed.
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Affiliation(s)
- Till M Bachmann
- European Institute for Energy Research (EIFER), Emmy-Noether-Str. 11, 76131 Karlsruhe, Germany
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86
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Holt J, Selin NE, Solomon S. Changes in inorganic fine particulate matter sensitivities to precursors due to large-scale US emissions reductions. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2015; 49:4834-41. [PMID: 25816113 DOI: 10.1021/acs.est.5b00008] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Abstract
We examined the impact of large US emissions changes, similar to those estimated to have occurred between 2005 and 2012 (high and low emissions cases, respectively), on inorganic PM2.5 sensitivities to further NOx, SO2, and NH3 emissions reductions using the chemical transport model GEOS-Chem. Sensitivities to SO2 emissions are larger year-round and across the US in the low emissions case than the high emissions case due to more aqueous-phase SO2 oxidation. Sensitivities to winter NOx emissions are larger in the low emissions case, more than 2× those of the high emissions case in parts of the northern Midwest. Sensitivities to NH3 emissions are smaller (∼40%) in the low emissions case, year-round, and across the US. Differences in NOx and NH3 sensitivities indicate an altered atmospheric acidity. Larger sensitivities to SO2 and NOx in the low emissions case imply that reducing these emissions may improve air quality more now than they would have in 2005; conversely, NH3 reductions may not improve air quality as much as previously assumed.
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Affiliation(s)
- Jareth Holt
- †Department of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Building 54-1711, Cambridge, Massachusetts 02139, United States
| | - Noelle E Selin
- †Department of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Building 54-1711, Cambridge, Massachusetts 02139, United States
- ‡Engineering Systems Division, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
| | - Susan Solomon
- †Department of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Building 54-1711, Cambridge, Massachusetts 02139, United States
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87
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Jiang X, Zhang Q, Zhao H, Geng G, Peng L, Guan D, Kan H, Huo H, Lin J, Brauer M, Martin RV, He K. Revealing the hidden health costs embodied in Chinese exports. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2015; 49:4381-8. [PMID: 25751364 DOI: 10.1021/es506121s] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2023]
Abstract
China emits a considerable amount of air pollutants when producing goods for export. Previous efforts have emphasized the magnitude of export-related emissions; however, their health consequences on the Chinese population have not been quantified. Here, we present an interdisciplinary study to estimate the health impact of export-related air pollution. The results show that export-related emissions elevated the annual mean population weighted PM2.5 by 8.3 μg/m(3) (15% of the total) in 2007, causing 157,000 deaths and accounting for 12% of the total mortality attributable to PM2.5-related air pollution. Compared to the eastern coastal provinces, the inner regions experience much larger export-related health losses relative to their economic production gains, owing to huge inter-regional disparities in export structures and technology levels. A shift away from emission-intensive production structure and export patterns, especially in inner regions, could significantly help improve national exports while alleviating the inter-regional cost-benefit inequality. Our results provide the first quantification of health consequences from air pollution related to Chinese exports. The proposed policy recommendations, based on health burden, economic production gains, and emission analysis, would be helpful to develop more sustainable and effective national and regional export strategies.
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Affiliation(s)
- Xujia Jiang
- †Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Tsinghua University, Beijing 100084, People's Republic of China
- ‡State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, People's Republic of China
| | - Qiang Zhang
- †Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Tsinghua University, Beijing 100084, People's Republic of China
| | - Hongyan Zhao
- †Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Tsinghua University, Beijing 100084, People's Republic of China
| | - Guannan Geng
- †Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Tsinghua University, Beijing 100084, People's Republic of China
| | - Liqun Peng
- †Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Tsinghua University, Beijing 100084, People's Republic of China
- ‡State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, People's Republic of China
| | - Dabo Guan
- †Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Tsinghua University, Beijing 100084, People's Republic of China
- §School of International Development, University of East Anglia, Norwich NR4 7TJ, United Kingdom
| | - Haidong Kan
- ∥Department of Environmental Health, School of Public Health, Fudan University, Shanghai 200032, People's Republic of China
| | - Hong Huo
- ⊥Institute of Energy, Environment and Economy, Tsinghua University, Beijing 100084, People's Republic of China
| | - Jintai Lin
- #Laboratory for Climate and Ocean-Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871, China
| | - Michael Brauer
- ¶School of Population and Public Health, University of British Columbia, Vancouver, British Columbia V6T 1Z3, Canada
| | - Randall V Martin
- ∇Department of Physics and Atmospheric Science, Dalhousie University, Halifax, Nova Scotia B3H 4R2, Canada
| | - Kebin He
- ‡State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, People's Republic of China
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Recent Developments in the Quantification and Regulation of Air Emissions from Animal Feeding Operations. Curr Environ Health Rep 2015; 2:25-32. [PMID: 26231239 DOI: 10.1007/s40572-014-0038-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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