101
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Spatio-Temporal Variations of Multiple Primary Air Pollutants Emissions in Beijing of China, 2006–2015. ATMOSPHERE 2019. [DOI: 10.3390/atmos10090494] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Air pollution in Beijing, China has attracted continuous worldwide public attention along with the rapid urbanization of the city. By implementing a set of air pollution mitigation measures, the air quality of Beijing has been gradually improved in recent years. In this study, the intrinsic factors leading to air quality improvement in Beijing are studied via a quantitative evaluation of the temporal and spatial changes in emissions of primary air pollutants over the past ten years. Based on detailed activity levels of each economic sector and a localized database containing source and pollutant specific emission factors, an integrated emissions inventory of primary air pollutants discharged from various sources between 2006 and 2015 is established. With the implementation of phased air pollution mitigation measures, and the Clean Air Action Plan, the original coal-dominated energy structure in Beijing has undergone tremendous changes, resulting in the substantial reduction of multiple air pollutants. The total of emissions of six major atmospheric pollutants (PM10, PM2.5, SO2, NOX, VOCs and NH3) in Beijing decreased by 35% in 2015 compared to 2006—this noticeable decrease was well consistent with the declining trend of ambient concentration of criterion air pollutants (SO2, PM10, PM2.5 and NO2) and air quality improvement, thus showing a good correlation between the emission of air pollutants and the outcome of air quality. SO2 emission declined the most, at about 71.7%, which was related to the vigorous promotion of combustion source control, such as the shutdown of coal-fired facilities and domestic stoves and transition to clean energy, like natural gas or electricity. Emissions of PM decreased considerably (by 48%) due to energy structure optimization, industrial structure adjustments, and end-of-pipe PM source control. In general, NOX, NH3, and VOCs decreased relatively slightly, by 25%, 14%, and 2%, respectively, and accordingly, they represented the limiting factors for improving air quality and the key points of air pollution mitigation in Beijing for the future.
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102
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Bao Z, Chen L, Li K, Han L, Wu X, Gao X, Azzi M, Cen K. Meteorological and chemical impacts on PM 2.5 during a haze episode in a heavily polluted basin city of eastern China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2019; 250:520-529. [PMID: 31026699 DOI: 10.1016/j.envpol.2019.04.045] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/31/2018] [Revised: 03/24/2019] [Accepted: 04/08/2019] [Indexed: 06/09/2023]
Abstract
Haze formation involves many interacting factors, such as secondary aerosol formation, unfavourable synoptic conditions and regional transport. The interaction between these factors complicates scientific understanding of the mechanism behind haze formation. In this study, we investigated the factors resulting in haze events in Longyou, a city located in a basin in China. Aerosol samples of PM2.5 were collected for subsequent chemical composition analysis between 11 January and 5 February 2018. The impacts of wind on PM2.5, SO2 and NO2 concentrations were analysed. Besides, the origin of air parcels and potential sources of PM2.5 were analysed by backward trajectory, potential source contribution function (PSCF) and concentration-weighted trajectories (CWT). Among the water-soluble ions identified, NO3- had the highest concentration, with further analysis demonstrating the haze evolution was mainly driven by the reactions involving NO3- formation. The dramatic increase of nitrate is mainly due to the homogeneous reaction of nitric acid with ammonia, while sulfate is likely due to heterogeneous reactions of NO2, SO2 and NH3. The average wind speed was less than 2 m/s during the aerosol sampling period, which could be considered as a stagnant state. Pollutants emitted by industrial area located in the northeast Longyou were probably brought to observation sites by continuous wind from northeast and accumulated gradually. Air parcels originating from the northeast of Zhejiang province also had large effects on haze pollution in Longyou. Together, our results showed that rapid secondary aerosol formation and unfavourable synoptic conditions are the main factors resulting in haze pollution in Longyou.
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Affiliation(s)
- Zhier Bao
- State Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou, 310027, China
| | - Linghong Chen
- State Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou, 310027, China.
| | - Kangwei Li
- State Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou, 310027, China
| | - Lixia Han
- State Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou, 310027, China
| | - Xuecheng Wu
- State Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou, 310027, China
| | - Xiang Gao
- State Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou, 310027, China
| | - Merched Azzi
- CSIRO Energy, PO Box 52, North Ryde, NSW, 1670, Australia
| | - Kefa Cen
- State Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou, 310027, China
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103
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Xu Y, Xiao H, Wu D. Traffic-related dustfall and NO x, but not NH 3, seriously affect nitrogen isotopic compositions in soil and plant tissues near the roadside. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2019; 249:655-665. [PMID: 30933763 DOI: 10.1016/j.envpol.2019.03.074] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2018] [Accepted: 03/18/2019] [Indexed: 06/09/2023]
Abstract
Ammonia (NH3) emissions from traffic have received particular attention in recent years because of their important contributions to the growth of secondary aerosols and the negative effects on urban air quality. However, few studies have been performed on the impacts of traffic NH3 emissions on adjacent soil and plants. Moreover, doubt remains over whether dry nitrogen (N) deposition still contributes a minor proportion of plant N nutrition compared with wet N deposition in urban road environments. This study investigated the δ15N values of road dustfall, soil, moss, camphor leaf and camphor bark samples collected along a distance gradient from the road, suggesting that samples collected near the road have significantly more positive δ15N values than those of remote sites. According to the SIAR model (Stable Isotope Analysis in R) applied to dustfall and moss samples from the roadside, it was found that NH3 from traffic exhaust (8.8 ± 7.1%) contributed much less than traffic-derived NO2 (52.2 ± 10.0%) and soil N (39.0 ± 13.8%) to dustfall bulk N; additionally, 68.6% and 31.4% of N in mosses near the roadside could be explained by dry N deposition (only 20.4 ± 12.5% for traffic-derived NH3) and wet N deposition, respectively. A two-member mixing model was used to analyse the δ15N in continuously collected mature camphor leaf and camphor bark samples, which revealed a similarity of the δ15N values of plant-available deposited N to 15N-enriched traffic-derived NOx-N. We concluded that a relatively high proportion of N inputs in urban road environments was contributed by traffic-related dustfall and NOx rather than NH3. These information provide useful insights into reducing the impacts of traffic exhaust on adjacent ecosystems and can assist policy makers in determining the reconstruction of a monitoring network for N deposition that reaches the road level.
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Affiliation(s)
- Yu Xu
- Key Laboratory of Poyang Lake Environment and Resource Utilization of Ministry of Education, School of Resource, Environmental and Chemical Engineering, Nanchang University, Nanchang, Jiangxi 330031, China
| | - Huayun Xiao
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, No. 99, Linchengxi Road, Guiyang 550081, China.
| | - Daishe Wu
- Key Laboratory of Poyang Lake Environment and Resource Utilization of Ministry of Education, School of Resource, Environmental and Chemical Engineering, Nanchang University, Nanchang, Jiangxi 330031, China.
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104
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Walters WW, Blum DE, Hastings MG. Selective Collection of Particulate Ammonium for Nitrogen Isotopic Characterization Using a Denuder–Filter Pack Sampling Device. Anal Chem 2019; 91:7586-7594. [DOI: 10.1021/acs.analchem.9b00151] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Wendell W. Walters
- Institute at Brown for Environment and Society, Brown University, 85 Waterman Street, Providence, Rhode Island 02912, United States
| | - Danielle E. Blum
- Institute at Brown for Environment and Society, Brown University, 85 Waterman Street, Providence, Rhode Island 02912, United States
| | - Meredith G. Hastings
- Institute at Brown for Environment and Society, Brown University, 85 Waterman Street, Providence, Rhode Island 02912, United States
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105
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Elliott EM, Yu Z, Cole AS, Coughlin JG. Isotopic advances in understanding reactive nitrogen deposition and atmospheric processing. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 662:393-403. [PMID: 30690373 PMCID: PMC7092373 DOI: 10.1016/j.scitotenv.2018.12.177] [Citation(s) in RCA: 53] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/02/2018] [Revised: 12/09/2018] [Accepted: 12/11/2018] [Indexed: 05/04/2023]
Abstract
Recent advances in stable isotope measurements now allow for detailed investigations of the sources, transformations, and deposition of reactive nitrogen (N) species. Stable isotopes show promise as a complementary tool for apportioning emissions sources that contribute to deposition and also for developing a more robust understanding of the transformations that can influence these isotope ratios. Methodological advances have facilitated the unprecedented examination of the isotopic composition of reactive N species in the atmosphere and in precipitation including nitrogen oxides (NOx = nitric oxide (NO) + nitrogen dioxide (NO2)), atmospheric nitrate (NO3-), nitric acid (HNO3), ammonia (NH3), and ammonium (NH4+). This isotopic information provides new insight into the mechanisms of transformation and cycling of reactive N in the atmosphere and moreover helps resolve the contribution of multiple NOx and NH3 emission sources to deposition across landscapes, regions, and continents. Here, we highlight the current state of knowledge regarding the isotopic ratios of NOx and NH3 emission sources and chemical alterations of isotopic ratios during atmospheric transformations. We also highlight illustrative examples where isotopic approaches are used and review recent methodological advances. While these highlights are not an exhaustive review of the literature, we hope they provide a glimpse of the potential for these methods to help resolve knowledge gaps regarding total N deposition to Earth surfaces. We conclude with promising opportunities for future research in the short-, medium-, and long-term.
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Affiliation(s)
- Emily M Elliott
- Department of Geology & Environmental Science, University of Pittsburgh, United States of America.
| | - Zhongjie Yu
- Department of Geology & Environmental Science, University of Pittsburgh, United States of America
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106
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Huang S, Elliott EM, Felix JD, Pan Y, Liu D, Li S, Li Z, Zhu F, Zhang N, Fu P, Fang Y. Seasonal pattern of ammonium 15N natural abundance in precipitation at a rural forested site and implications for NH 3 source partitioning. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2019; 247:541-549. [PMID: 30708316 DOI: 10.1016/j.envpol.2019.01.023] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2018] [Revised: 11/05/2018] [Accepted: 01/08/2019] [Indexed: 05/12/2023]
Abstract
Excess ammonia (NH3) emissions and deposition can have negative effects on air quality and terrestrial ecosystems. Identifying NH3 sources is a critical step for effectively reducing NH3 emissions, which are generally unregulated around the world. Stable nitrogen isotopes (δ15N) of ammonium (NH4+) in precipitation have been directly used to partition NH3 sources. However, nitrogen isotope fractionation during atmospheric processes from NH3 sources to sinks has been previously overlooked. Here we measured δ15NNH4+ in precipitation on a daily basis at a rural forested site in Northeast China over three years to examine its seasonal pattern and attempt to constrain the NH3 sources. We found that the NH4+ concentrations in precipitation ranged from 5 to 1265 μM, and NH4+ accounted for 65% of the inorganic nitrogen deposition (20.0 kg N ha-1 yr-1) over the study period. The δ15N values of NH4+ fluctuated from -24.6 to +16.2‰ (average -6.5‰) and showed a repeatable seasonal pattern with higher values in summer (average -2.3‰) than in winter (average -16.4‰), which could not be explained by only the seasonal changes in the NH3 sources. Our results suggest that in addition to the NH3 sources, isotope equilibrium fractionation contributed to the seasonal pattern of δ15NNH4+ in precipitation, and thus, nitrogen isotope fractionation should be considered when partitioning NH3 sources based on δ15NNH4+ in precipitation.
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Affiliation(s)
- Shaonan Huang
- CAS Key Laboratory of Forest Ecology and Mangement, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, Liaoning, 110164, China; Qingyuan Forest CERN, Chinese Academy of Sciences, Shenyang, Liaoning, 110014, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Emily M Elliott
- Department of Geology & Environmental Science, 4107 O'Hara Street, University of Pittsburgh, Pittsburgh, PA, 15260, United States
| | - J David Felix
- Department of Physical and Environmental Science, 6300 Ocean Drive, Texas A & M University - Corpus Christi, Corpus Christi, TX, 78414, United States
| | - 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
| | - Dongwei Liu
- CAS Key Laboratory of Forest Ecology and Mangement, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, Liaoning, 110164, China; Qingyuan Forest CERN, Chinese Academy of Sciences, Shenyang, Liaoning, 110014, China
| | - Shanlong Li
- CAS Key Laboratory of Forest Ecology and Mangement, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, Liaoning, 110164, China; Qingyuan Forest CERN, Chinese Academy of Sciences, Shenyang, Liaoning, 110014, China
| | - Zhengjie Li
- CAS Key Laboratory of Forest Ecology and Mangement, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, Liaoning, 110164, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Feifei Zhu
- CAS Key Laboratory of Forest Ecology and Mangement, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, Liaoning, 110164, China; Qingyuan Forest CERN, Chinese Academy of Sciences, Shenyang, Liaoning, 110014, China
| | - Na Zhang
- College of Resource and Environmental Sciences, Shijiazhuang University, Shijiazhuang, 050035, China
| | - Pingqing Fu
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China; Institute of Surface-Earth System Science, Tianjin University, Tianjin, 300072, China
| | - Yunting Fang
- CAS Key Laboratory of Forest Ecology and Mangement, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, Liaoning, 110164, China; Qingyuan Forest CERN, Chinese Academy of Sciences, Shenyang, Liaoning, 110014, China.
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107
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Lim S, Lee M, Czimczik CI, Joo T, Holden S, Mouteva G, Santos GM, Xu X, Walker J, Kim S, Kim HS, Kim S, Lee S. Source signatures from combined isotopic analyses of PM 2.5 carbonaceous and nitrogen aerosols at the peri-urban Taehwa Research Forest, South Korea in summer and fall. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 655:1505-1514. [PMID: 30577141 DOI: 10.1016/j.scitotenv.2018.11.157] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2018] [Revised: 11/08/2018] [Accepted: 11/10/2018] [Indexed: 06/09/2023]
Abstract
Isotopes are essential tools to apportion major sources of aerosols. We measured the radiocarbon, stable carbon, and stable nitrogen isotopic composition of PM2.5 at Taehwa Research Forest (TRF) near Seoul Metropolitan Area (SMA) during August-October 2014. PM2.5, TC, and TN concentrations were 19.4 ± 10.1 μg m-3, 2.6 ± 0.8 μg C m-3, and 1.4 ± 1.4 μg N m-3, respectively. The δ13C of TC and the δ15N of TN were - 25.4 ± 0.7‰ and 14.6 ± 3.8‰, respectively. EC was dominated by fossil-fuel sources with Fff (EC) of 78 ± 7%. In contrast, contemporary sources were dominant for TC with Fc (TC) of 76 ± 7%, revealing the significant contribution of contemporary sources to OC during the growing season. The isotopic signature carries more detailed information on sources depending on air mass trajectories. The urban influence was dominant under stagnant condition, which was in reasonable agreement with the estimated δ15N of NH4+. The low δ15N (7.0 ± 0.2‰) with high TN concentration was apparent in air masses from Shandong province, indicating fossil fuel combustion as major emission source. In contrast, the high δ15N (16.1 ± 3.2‰) with enhanced TC/TN ratio reveals the impact of biomass burning in the air transported from the far eastern border region of China and Russia. Our findings highlight that the multi-isotopic composition is a useful tool to identify emission sources and to trace regional sources of carbonaceous and nitrogen aerosols.
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Affiliation(s)
- Saehee Lim
- Dept. of Earth and environmental sciences, Korea University, Seoul, South Korea
| | - Meehye Lee
- Dept. of Earth and environmental sciences, Korea University, Seoul, South Korea.
| | - Claudia I Czimczik
- Dept. of Earth System Science, University of California, Irvine, Irvine, USA.
| | - Taekyu Joo
- Dept. of Earth and environmental sciences, Korea University, Seoul, South Korea
| | - Sandra Holden
- Dept. of Earth System Science, University of California, Irvine, Irvine, USA
| | - Gergana Mouteva
- Dept. of Earth System Science, University of California, Irvine, Irvine, USA
| | - Guaciara M Santos
- Dept. of Earth System Science, University of California, Irvine, Irvine, USA
| | - Xiaomei Xu
- Dept. of Earth System Science, University of California, Irvine, Irvine, USA
| | - Jennifer Walker
- Dept. of Earth System Science, University of California, Irvine, Irvine, USA
| | - Saewung Kim
- Dept. of Earth System Science, University of California, Irvine, Irvine, USA
| | - Hyun Seok Kim
- Dept. of Forest Sciences, Seoul National University, Seoul, South Korea; Interdisciplinary Program in Agricultural and Forest Meteorology, Seoul National University, Seoul, South Korea; National Center for Agro Meteorology, Seoul, South Korea; Research Institute for Agriculture and Life Sciences, Seoul National University, Seoul, South Korea
| | - Soyoung Kim
- National Institute of Environmental Research, Incheon, South Korea
| | - Sanguk Lee
- National Institute of Environmental Research, Incheon, South Korea
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108
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Song X, Li J, Shao L, Zheng Q, Zhang D. Inorganic ion chemistry of local particulate matter in a populated city of North China at light, medium, and severe pollution levels. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 650:566-574. [PMID: 30205346 DOI: 10.1016/j.scitotenv.2018.09.033] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2018] [Revised: 08/14/2018] [Accepted: 09/03/2018] [Indexed: 06/08/2023]
Abstract
Twenty-six pairs of PM2.5 and PM10 samples were collected during haze episodes in Zhengzhou (113°28' E, 34°37' N), a highly populated city in North China. The samples were used to examine the inorganic ion chemistry of particulate matter (PM) of local origin at light (PM2.5 < 60 μg m-3 and PM10 < 135 μg m-3), medium (PM2.5: 60-170 μg m-3 and PM10: 135-325 μg m-3), and severe (PM2.5 > 170 μg m-3 and PM10 > 325 μg m-3) pollution levels. At the light and severe pollution levels, the increase of PM10 was accounted for by the increase of PM2.5, and the variation of PM10-2.5 was small. In contrast, the increase of PM10 at the medium pollution level was caused by the increase in both PM2.5 and PM10-2.5. Sulfate (SO42-), nitrate (NO3-), ammonium (NH4+), and chloride in the form of ammonium chloride (Cl-S) accounted for 47.8% and 60.3% of the PM2.5 mass at the light and severe levels, respectively. These values indicate a large contribution of secondary inorganic species to the PM2.5 growth. As the pollution level changed from light to medium, the contribution of SO42- to the growth of PM2.5 decreased from 49.0% to 15.1%, while those of NO3- and Cl-S increased from 25.1% and 0.6% to 32.5% and 2.8%, respectively, indicating the substantial production of nitrate and chloride. At the severe level, the contribution of SO42- was 30.1%, while those of NO3- and Cl-S were 5.9% and 0.5%, respectively, suggesting a hindering effect of sulfate on the production of nitrate and chloride. These results indicate that the production of secondary species with the increase of PM2.5 was dominated by sulfate-associated conversions at the light and severe pollution levels and was substantially influenced by nitrate- and chloride-associated conversions at the medium pollution level. The estimation of carbonate presence in the PM indicates that part of the carbonate in coarse particles (PM10-2.5) of crustal origin enhanced sulfate production via heterogeneous surface reactions. Quantification of the contribution of primary and secondary species to PM2.5 showed that it was dominated by both primary and secondary particles at the light pollution level, and it was mainly composed of secondary species at the severe pollution level.
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Affiliation(s)
- Xiaoyan Song
- College of Geosciences and Engineering, North China University of Water Resources and Electric Power, Zhengzhou, Henan 450046, China
| | - Jinjuan Li
- College of Resources and Environmental Engineering, Guizhou University, Guiyang, Guizhou 550025, China
| | - Longyi Shao
- College of Geoscience and Surveying Engineering, China University of Mining & Technology, Beijing 100083, China
| | - Qiming Zheng
- School of Resources and Environment Engineering, Henan University of Engineering, Zhengzhou, Henan 451191, China
| | - Daizhou Zhang
- Faculty of Environmental and Symbiotic Sciences, Prefectural University of Kumamoto, Kumamoto 862-8502, Japan.
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109
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Wang F, He G, Zhang B, Chen M, Chen X, Zhang C, He H. Insights into the Activation Effect of H2 Pretreatment on Ag/Al2O3 Catalyst for the Selective Oxidation of Ammonia. ACS Catal 2019. [DOI: 10.1021/acscatal.8b03744] [Citation(s) in RCA: 44] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Affiliation(s)
- Fei Wang
- State Key Joint Laboratory of Environment Simulation and Pollution Control, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Guangzhi He
- State Key Joint Laboratory of Environment Simulation and Pollution Control, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Bo Zhang
- State Key Joint Laboratory of Environment Simulation and Pollution Control, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Min Chen
- State Key Joint Laboratory of Environment Simulation and Pollution Control, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Xueyan Chen
- State Key Joint Laboratory of Environment Simulation and Pollution Control, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Changbin Zhang
- State Key Joint Laboratory of Environment Simulation and Pollution Control, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
- Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
| | - Hong He
- State Key Joint Laboratory of Environment Simulation and Pollution Control, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, 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
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110
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Huang C, Hu Q, Lou S, Tian J, Wang R, Xu C, An J, Ren H, Ma D, Quan Y, Zhang Y, Li L. Ammonia Emission Measurements for Light-Duty Gasoline Vehicles in China and Implications for Emission Modeling. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2018; 52:11223-11231. [PMID: 30157650 DOI: 10.1021/acs.est.8b03984] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Motor vehicle ammonia (NH3) emissions have attracted increasing attention for their potential to form secondary aerosols in urban atmospheres. However, vehicle NH3 emission factors (EFs) remain largely unknown due to a lack of measurements. Thus, we conducted detailed measurements of NH3 emissions from 18 Euro 2 to Euro 5 light-duty gasoline vehicles (LDGVs) in Shanghai, China. The distance- and fuel-based NH3 EFs average 29.2 ± 24.1 mg·km-1 and 0.49 ± 0.41 g·kg-1, respectively. The average NH3-to-CO2 ratio is 0.41 ± 0.34 ppbv·ppmv-1. The measurements reveal that NH3 emissions from LDGVs are strongly correlated with both vehicle specific power (VSP) and the modified combustion efficiency (MCE); these relationships were used to predict LDGV NH3 EFs via a newly developed model. The predicted LDGV NH3 EFs under urban and highway driving cycles are 23.3 mg·km-1 and 84.5 mg·km-1, respectively, which are consistent with field measurements. The NH3 EF has decreased by 32% in average since the implementation of vehicle emission control policies in China five years ago. The model presented herein more accurately predicts LDGV NH3 emissions, contributing substantially to the compilation of NH3 emission inventories and prediction of future motor vehicle emissions in China.
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Affiliation(s)
- Cheng Huang
- State Environmental Protection Key Laboratory of Cause and Prevention of Urban Air Pollution Complex , Shanghai Academy of Environmental Sciences , Shanghai , 200233 , China
| | - Qingyao Hu
- State Environmental Protection Key Laboratory of Cause and Prevention of Urban Air Pollution Complex , Shanghai Academy of Environmental Sciences , Shanghai , 200233 , China
| | - Shengrong Lou
- State Environmental Protection Key Laboratory of Cause and Prevention of Urban Air Pollution Complex , Shanghai Academy of Environmental Sciences , Shanghai , 200233 , China
| | - Junjie Tian
- School of Resources and Environment Engineering , East China University of Science and Technology , Shanghai , 200237 , China
| | - Ruining Wang
- Automotive Engineering College , Shanghai University of Engineering Science , Shanghai , 201620 , China
| | - Chong Xu
- Automotive Engineering College , Shanghai University of Engineering Science , Shanghai , 201620 , China
| | - Jingyu An
- State Environmental Protection Key Laboratory of Cause and Prevention of Urban Air Pollution Complex , Shanghai Academy of Environmental Sciences , Shanghai , 200233 , China
| | - Hongjuan Ren
- Automotive Engineering College , Shanghai University of Engineering Science , Shanghai , 201620 , China
| | - Dong Ma
- Chinese Research Academy of Environmental Sciences , Beijing , 100012 , China
| | - Yifeng Quan
- Shanghai Motor Vehicle Inspection Certification & Tech Innovation Center Co., Ltd , Shanghai , 201805 , China
| | - Yaojiao Zhang
- Shanghai Motor Vehicle Inspection Certification & Tech Innovation Center Co., Ltd , Shanghai , 201805 , China
| | - Li Li
- State Environmental Protection Key Laboratory of Cause and Prevention of Urban Air Pollution Complex , Shanghai Academy of Environmental Sciences , Shanghai , 200233 , China
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111
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Yu X, Song W, Yu Q, Li S, Zhu M, Zhang Y, Deng W, Yang W, Huang Z, Bi X, Wang X. Fast screening compositions of PM 2.5 by ATR-FTIR: Comparison with results from IC andOC/EC analyzers. J Environ Sci (China) 2018; 71:76-88. [PMID: 30195692 DOI: 10.1016/j.jes.2017.11.021] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2017] [Revised: 10/20/2017] [Accepted: 11/21/2017] [Indexed: 06/08/2023]
Abstract
Chemical speciation of fine particles or PM2.5 collected on filters is still a costly and time-consuming task. In this study, filter-based PM2.5 samples were collected during November-December 2013 at four sites in Guangzhou, and the major components were fast screened (~7min per filter sample) by Attenuated Total Reflectance (ATR)-Fourier Transform Infrared Spectroscopic (FTIR) in comparison with that measured by Organic carbon/Element carbon (OC/EC) analyzer and Ion Chromatography (IC). The concentrations of nitrate, ammonium, sulfate, primary organic carbon (POC) and secondary organic carbon (SOC) measured by OC/EC and IC analyzers were better correlated with their infrared absorption peak heights at 1320cm-1 for nitrate, 1435, 3045 and 3215cm-1 for ammonium, 615cm-1 for sulfate, 690, 760 and 890cm-1 for POC and 1640 and 1660cm-1 for SOC respectively, during polluted days (PM2.5>75μg/m3) than during clean days (PM2.5≤75μg/m3). With the evolution of a haze episode during our field campaign, the concentrations of the major PM2.5 components displayed consistent variations with their infrared absorption peak heights, suggesting ATR-FTIR could be a fast and useful technique to characterize filter-based PM2.5 compositions particularly during pollution events although cautions should be taken when PM2.5 levels are low. Notably, elevated PM2.5 mass concentrations occurred with enhanced ratios of [NO3-]/[SO42-] and [NH4+]/[SO42-], implying that nitrogenous components play vital roles in the PM2.5 pollution events in the study region.
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Affiliation(s)
- Xu Yu
- State Key Laboratory of Organic Geochemistry and Guangdong Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Wei Song
- State Key Laboratory of Organic Geochemistry and Guangdong Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China; Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
| | - Qingqing Yu
- State Key Laboratory of Organic Geochemistry and Guangdong Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Sheng Li
- State Key Laboratory of Organic Geochemistry and Guangdong Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Ming Zhu
- State Key Laboratory of Organic Geochemistry and Guangdong Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yanli Zhang
- State Key Laboratory of Organic Geochemistry and Guangdong Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China; Department of Chemistry, Hong Kong University of Science and Technology, Kowloon, Hong Kong, China
| | - Wei Deng
- State Key Laboratory of Organic Geochemistry and Guangdong Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Weiqiang Yang
- State Key Laboratory of Organic Geochemistry and Guangdong Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zhonghui Huang
- State Key Laboratory of Organic Geochemistry and Guangdong Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xinhui Bi
- State Key Laboratory of Organic Geochemistry and Guangdong Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China
| | - Xinming Wang
- State Key Laboratory of Organic Geochemistry and Guangdong Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China; Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China.
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112
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Wang F, Ma J, He G, Chen M, Wang S, Zhang C, He H. Synergistic Effect of TiO2–SiO2 in Ag/Si–Ti Catalyst for the Selective Catalytic Oxidation of Ammonia. Ind Eng Chem Res 2018. [DOI: 10.1021/acs.iecr.8b02205] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Affiliation(s)
- Fei Wang
- State Key Joint Laboratory of Environment Simulation and Pollution Control, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jinzhu Ma
- State Key Joint Laboratory of Environment Simulation and Pollution Control, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, 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
| | - Guangzhi He
- State Key Joint Laboratory of Environment Simulation and Pollution Control, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Min Chen
- State Key Joint Laboratory of Environment Simulation and Pollution Control, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shaoxin Wang
- State Key Joint Laboratory of Environment Simulation and Pollution Control, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Changbin Zhang
- State Key Joint Laboratory of Environment Simulation and Pollution Control, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Hong He
- State Key Joint Laboratory of Environment Simulation and Pollution Control, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, 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
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113
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Pan Y, Tian S, Liu D, Fang Y, Zhu X, Gao M, Gao J, Michalski G, Wang Y. Isotopic evidence for enhanced fossil fuel sources of aerosol ammonium in the urban atmosphere. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2018; 238:942-947. [PMID: 29684898 DOI: 10.1016/j.envpol.2018.03.038] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/24/2017] [Revised: 02/12/2018] [Accepted: 03/13/2018] [Indexed: 05/12/2023]
Abstract
The sources of aerosol ammonium (NH4+) are of interest because of the potential of NH4+ to impact the Earth's radiative balance, as well as human health and biological diversity. Isotopic source apportionment of aerosol NH4+ is challenging in the urban atmosphere, which has excess ammonia (NH3) and where nitrogen isotopic fractionation commonly occurs. Based on year-round isotopic measurements in urban Beijing, we show the source dependence of the isotopic abundance of aerosol NH4+, with isotopically light (-33.8‰) and heavy (0 to +12.0‰) NH4+ associated with strong northerly winds and sustained southerly winds, respectively. On an annual basis, 37-52% of the initial NH3 concentrations in urban Beijing arises from fossil fuel emissions, which are episodically enhanced by air mass stagnation preceding the passage of cold fronts. These results provide strong evidence for the contribution of non-agricultural sources to NH3 in urban regions and suggest that priority should be given to controlling these emissions for haze regulation. This study presents a carefully executed application of existing stable nitrogen isotope measurement and mass-balance techniques to a very important problem: understanding source contributions to atmospheric NH3 in Beijing. This question is crucial to informing environmental policy on reducing particulate matter concentrations, which are some of the highest in the world. However, the isotopic source attribution results presented here still involve a number of uncertain assumptions and they are limited by the incomplete set of chemical and isotopic measurements of gas NH3 and aerosol NH4+. Further field work and lab experiments are required to adequately characterize endmember isotopic signatures and the subsequent isotopic fractionation process under different air pollution and meteorological conditions.
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Affiliation(s)
- 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.
| | - 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
| | - Dongwei Liu
- CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, Liaoning 110164, China
| | - Yunting Fang
- CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, Liaoning 110164, China.
| | - Xiaying Zhu
- National Climate Center, China Meteorological Administration, Beijing 100081, China
| | - Meng Gao
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, United States
| | - Jian Gao
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Greg Michalski
- Department of Chemistry, Department of Earth, Atmospheric, and Planetary Sciences, Purdue University, 560 Oval Drive, West Lafayette, IN 47907, United States
| | - Yuesi Wang
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
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114
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Walters WW, Hastings MG. Collection of Ammonia for High Time-Resolved Nitrogen Isotopic Characterization Utilizing an Acid-Coated Honeycomb Denuder. Anal Chem 2018; 90:8051-8057. [DOI: 10.1021/acs.analchem.8b01007] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Wendell W. Walters
- Department of Earth, Environmental, and Planetary Sciences, Brown University, 324 Brook Street, Providence, Rhode Island 02912, United States
- Institute at Brown for Environment and Society, Brown University, 85 Waterman Street, Providence, Rhode Island 02912, United States
| | - Meredith G. Hastings
- Department of Earth, Environmental, and Planetary Sciences, Brown University, 324 Brook Street, Providence, Rhode Island 02912, United States
- Institute at Brown for Environment and Society, Brown University, 85 Waterman Street, Providence, Rhode Island 02912, United States
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115
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Pan Y, Tian S, Zhao Y, Zhang L, Zhu X, Gao J, Huang W, Zhou Y, Song Y, Zhang Q, Wang Y. Identifying Ammonia Hotspots in China Using a National Observation Network. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2018; 52:3926-3934. [PMID: 29499112 DOI: 10.1021/acs.est.7b05235] [Citation(s) in RCA: 61] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Abstract
The limited availability of ammonia (NH3) measurements is currently a barrier to understanding the vital role of NH3 in secondary aerosol formation during haze pollution events and prevents a full assessment of the atmospheric deposition of reactive nitrogen. The observational gaps motivated us to design this study to investigate the spatial distributions and seasonal variations in atmospheric NH3 on a national scale in China. On the basis of a 1-year observational campaign at 53 sites with uniform protocols, we confirm that abundant concentrations of NH3 [1 to 23.9 μg m-3] were identified in typical agricultural regions, especially over the North China Plain (NCP). The spatial pattern of the NH3 surface concentration was generally similar to those of the satellite column concentrations as well as a bottom-up agriculture NH3 emission inventory. However, the observed NH3 concentrations at urban and desert sites were comparable with those from agricultural sites and 2-3 times those of mountainous/forest/grassland/waterbody sites. We also found that NH3 deposition fluxes at urban sites account for only half of the emissions in the NCP, suggesting the transport of urban NH3 emissions to downwind areas. This finding provides policy makers with insights into the potential mitigation of nonagricultural NH3 sources in developed regions.
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Affiliation(s)
- 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
| | - 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
| | - Yuanhong Zhao
- Department of Atmospheric and Oceanic Sciences, School of Physics , Peking University , Beijing , 100871 , China
| | - Lin Zhang
- Department of Atmospheric and Oceanic Sciences, School of Physics , Peking University , Beijing , 100871 , China
| | - Xiaying Zhu
- National Climate Center , China Meteorological Administration , Beijing 100081 , China
| | - Jian Gao
- State Key Laboratory of Environmental Criteria and Risk Assessment , Chinese Research Academy of Environmental Sciences , Beijing 100012 , China
| | - Wei Huang
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics , Chinese Academy of Sciences , Beijing 100029 , China
| | - Yanbo Zhou
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics , Chinese Academy of Sciences , Beijing 100029 , China
| | - Yu Song
- Department of Environmental Science , Peking University , Beijing 100871 , China
| | - Qiang Zhang
- Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science , Tsinghua University , Beijing 100084 , China
| | - Yuesi Wang
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics , Chinese Academy of Sciences , Beijing 100029 , China
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116
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Leng Q, Cui J, Zhou F, Du K, Zhang L, Fu C, Liu Y, Wang H, Shi G, Gao M, Yang F, He D. Wet-only deposition of atmospheric inorganic nitrogen and associated isotopic characteristics in a typical mountain area, southwestern China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2018; 616-617:55-63. [PMID: 29107779 DOI: 10.1016/j.scitotenv.2017.10.240] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/10/2017] [Revised: 10/23/2017] [Accepted: 10/23/2017] [Indexed: 06/07/2023]
Abstract
To quantify and compare atmospheric nitrogen (N) deposition and its N isotopic ratio are critical for constraining N sources and effective reduction of reactive N emissions. In this study, a total of 223 rainwater samples were collected by wet-only auto-samplers, and wet-only deposition and isotopic composition (δ15N) of reduced (NH4+-N) and oxidized (NO3--N) N were measured at three typical mountain sites, including an urban (Wanzhou, WZ), a town (Gaoyang, GY) and a rural (Dade, DD) site in Chongqing, southwestern China in 2016. The wet-only inorganic N deposition (DIN, sum of NO3--N and NH4+-N) were 17.50, 8.63 and 12.16kgNha-1yr-1 at WZ, GY and DD site, respectively. Annual δ15N-NH4+ values of rainwaters were negative at the urban site (-3.12±3.21‰, WZ) and positive at both town and rural site (0.65±12.51‰, GY; 2.16±6.11‰, DD). Annual δ15N-NO3- values, on the contrary, were positive at the urban site (0.33±7.87‰, WZ) and negative at both town and rural site (-5.59±2.20‰, GY; -0.39±8.89‰, DD). These results reveal the urban site was wet-only DIN hotspot and had a different N source compared with the town-rural site in the mountain area. Moreover, precipitation DIN had a potentially negative risk on both aquatic and forest ecosystems.
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Affiliation(s)
- Qiangmei Leng
- Key Laboratory of Water Environment Evolution and Pollution Control in Three Gorges Reservoir, Chongqing Three Gorges University, Wanzhou 404000, China; Centre of Atmospheric Environment Research, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
| | - Jian Cui
- Centre of Atmospheric Environment Research, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China.
| | - Fengwu Zhou
- Centre of Atmospheric Environment Research, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
| | - Ke Du
- Department of Mechanical and Manufacturing Engineering, University of Calgary, Calgary T2N 1N4, Canada
| | - Liuyi Zhang
- Key Laboratory of Water Environment Evolution and Pollution Control in Three Gorges Reservoir, Chongqing Three Gorges University, Wanzhou 404000, China; Centre of Atmospheric Environment Research, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
| | - Chuan Fu
- Key Laboratory of Water Environment Evolution and Pollution Control in Three Gorges Reservoir, Chongqing Three Gorges University, Wanzhou 404000, China
| | - Yuan Liu
- Centre of Atmospheric Environment Research, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
| | - Huanbo Wang
- Centre of Atmospheric Environment Research, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
| | - Guangming Shi
- Centre of Atmospheric Environment Research, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
| | - Min Gao
- Centre of Atmospheric Environment Research, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
| | - Fumo Yang
- Key Laboratory of Water Environment Evolution and Pollution Control in Three Gorges Reservoir, Chongqing Three Gorges University, Wanzhou 404000, China; Centre of Atmospheric Environment Research, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China; Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China.
| | - Dongyi He
- Centre of Atmospheric Environment Research, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
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117
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Deng O, Zhang S, Deng L, Zhang C, Fei J. Wet nitrogen deposition across the urban-intensive agricultural-rural transect of a small urban area in southwest China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2018; 25:7866-7874. [PMID: 29297165 DOI: 10.1007/s11356-017-1082-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: 07/28/2017] [Accepted: 12/18/2017] [Indexed: 06/07/2023]
Abstract
Understanding of the spatial and temporal variation of the flux of atmospheric nitrogen (N) deposition is essential for assessment of its impact on ecosystems. However, little attention has been paid to the variability of N deposition across urban-intensive agricultural-rural transects. A continuous 2-year observational study (from January 2015 to December 2016) was conducted to determine wet N deposition across the urban-intensive agricultural-rural transect of a small urban area in southwest China. Significantly spatial and temporal variations were found in the research area. Along the urban-intensive agricultural-rural transect, the TN and NH4+-N deposition first increased and then decreased, and the NO3--N and dissolved organic N (DON) deposition decreased continuously. Wet N deposition was mainly affected by the districts of agro-facilities, roads and build up lands. Wet NH4+-N deposition had non-seasonal emission sources including industrial emissions and urban excretory wastes in urban districts and seasonal emission sources such as fertilizer and manure volatilization in the other districts. However, wet NO3--N deposition had seasonal emission sources such as industrial emissions and fireworks in urban district and non-seasonal emission sources such as transportation in the other districts. Deposition of DON was likely to have had similar sources to NO3--N deposition in rural district, and high-temperature-dependent sources in urban and intensive agricultural districts. Considering the annual wet TN deposition in the intensive agricultural district was about 11.1% of the annual N fertilizer input, N fertilizer rates of crops should be reduced in this region to avoid the excessive application, and the risk of N emissions to the environment.
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Affiliation(s)
- Ouping Deng
- College of Resource, Sichuan Agricultural University, Wenjiang, 611130, People's Republic of China
- College of Environmental Science, Sichuan Agricultural University, Wenjiang, 611130, People's Republic of China
| | - Shirong Zhang
- College of Environmental Science, Sichuan Agricultural University, Wenjiang, 611130, People's Republic of China.
| | - Liangji Deng
- College of Resource, Sichuan Agricultural University, Wenjiang, 611130, People's Republic of China
| | - Chunlong Zhang
- College of Resource, Sichuan Agricultural University, Wenjiang, 611130, People's Republic of China
| | - Jianbo Fei
- College of Resource, Sichuan Agricultural University, Wenjiang, 611130, People's Republic of China
- Center of Land Acquisition and Consolidation in Sichuan Province, Chengdu, 610041, People's Republic of China
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118
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Wang F, Ma J, He G, Chen M, Zhang C, He H. Nanosize Effect of Al2O3 in Ag/Al2O3 Catalyst for the Selective Catalytic Oxidation of Ammonia. ACS Catal 2018. [DOI: 10.1021/acscatal.7b03799] [Citation(s) in RCA: 85] [Impact Index Per Article: 14.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Fei Wang
- State Key Joint Laboratory of Environment Simulation and Pollution Control, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, People’s Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People’s Republic of China
| | - Jinzhu Ma
- State Key Joint Laboratory of Environment Simulation and Pollution Control, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, People’s Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People’s Republic of China
- Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, People’s Republic of China
| | - Guangzhi He
- State Key Joint Laboratory of Environment Simulation and Pollution Control, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, People’s Republic of China
| | - Min Chen
- State Key Joint Laboratory of Environment Simulation and Pollution Control, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, People’s Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People’s Republic of China
| | - Changbin Zhang
- State Key Joint Laboratory of Environment Simulation and Pollution Control, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, People’s Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People’s Republic of China
| | - Hong He
- State Key Joint Laboratory of Environment Simulation and Pollution Control, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, People’s Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People’s Republic of China
- Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, People’s Republic of China
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119
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Wang H, Shi G, Tian M, Chen Y, Qiao B, Zhang L, Yang F, Zhang L, Luo Q. Wet deposition and sources of inorganic nitrogen in the Three Gorges Reservoir Region, China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2018; 233:520-528. [PMID: 29102882 DOI: 10.1016/j.envpol.2017.10.085] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/03/2017] [Revised: 10/21/2017] [Accepted: 10/21/2017] [Indexed: 06/07/2023]
Abstract
Precipitation samples were collected at five rural and one urban sites in the Three Gorges Reservoir Region (TGR), China from March 2014 to February 2016. The inorganic reactive nitrogen (Nr) contents were analysed to investigate their wet deposition flux, budget, and sources in the area. Annual Nr wet deposition varied from 7.1 to 23.4 kg N ha-1 yr-1 over the six sites during the two-year study campaign. The six-site average Nr wet deposition flux was 17.1 and 11.7 kg N ha-1 yr-1 in 2014 and 2015, respectively, with 71% from NH4+ and 29% from NO3-. Dry deposition flux was estimated using the inferential method, which combined the measured ambient concentrations and modelled dry deposition velocities. The total (dry + wet) Nr deposition fluxes were estimated to be 21.4 kg N ha-1 yr-1 in 2014 and 16.0 kg N ha-1 yr-1 in 2015 at rural sites, and 31.4 and 25.3 kg N ha-1 yr-1 at the urban site. Annual average volume weighted mean (VWM) concentrations in precipitation at all the six sites differed little for NO3- but up to a factor of 2.0 for NH4+ with the highest value at the urban site. Industrial emissions, agricultural emissions, soil dust, and biomass burning were identified as potential sources of the major inorganic ions in precipitation using factor analysis and correlation analysis. Conditional probability function (CPF) analysis indicated that the urban site was predominantly affected by industrial emissions from a power plant, cement manufactory, and salt chemical facility located ∼13 km southeast of the sampling site.
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Affiliation(s)
- Huanbo Wang
- School of Urban Construction and Environmental Engineering, Chongqing University, Chongqing, 400044, China; Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, China
| | - Guangming Shi
- Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, China
| | - Mi Tian
- Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, China
| | - Yang Chen
- Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, China
| | - Baoqing Qiao
- Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, China
| | - Liuyi Zhang
- Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, China
| | - Fumo Yang
- School of Urban Construction and Environmental Engineering, Chongqing University, Chongqing, 400044, China; Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, China; Center for Excellence in Urban Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China; Coordinated Center of Excellence for Green Development in Wuling Region, Yangtze Normal University, Chongqing, 408100, China.
| | - Leiming Zhang
- Environment and Climate Change Canada, Toronto, Canada
| | - Qiong Luo
- Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, China
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120
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Zeng Y, Wang S. Comment on "Identification of Major Sources of Atmospheric NH 3 in an Urban Environment in Northern China During Wintertime". ENVIRONMENTAL SCIENCE & TECHNOLOGY 2018; 52:362-363. [PMID: 29239174 DOI: 10.1021/acs.est.7b04986] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Affiliation(s)
- Yang Zeng
- School of Environmental Science and Engineering, Shandong University , No. 72 Binhai Avenue, Jimo District, Qingdao, 266237, China
| | - Shuguang Wang
- School of Environmental Science and Engineering, Shandong University , No. 72 Binhai Avenue, Jimo District, Qingdao, 266237, China
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121
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Li Z, Jiang J, Ma Z, Fajardo OA, Deng J, Duan L. Influence of flue gas desulfurization (FGD) installations on emission characteristics of PM 2.5 from coal-fired power plants equipped with selective catalytic reduction (SCR). ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2017; 230:655-662. [PMID: 28715770 DOI: 10.1016/j.envpol.2017.06.103] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/13/2017] [Revised: 06/21/2017] [Accepted: 06/29/2017] [Indexed: 06/07/2023]
Abstract
Flue gas desulfurization (FGD) and selective catalytic reduction (SCR) technologies have been widely used to control the emissions of sulphur dioxide (SO2) and nitrogen oxides (NOX) from coal-fired power plants (CFPPs). Field measurements of emission characteristics of four conventional CFPPs indicated a significant increase in particulate ionic species, increasing PM2.5 emission with FGD and SCR installations. The mean concentrations of PM2.5 from all CFPPs tested were 3.79 ± 1.37 mg/m3 and 5.02 ± 1.73 mg/m3 at the FGD inlet and outlet, respectively, and the corresponding contributions of ionic species were 19.1 ± 7.7% and 38.2 ± 7.8%, respectively. The FGD was found to enhance the conversion of NH3 slip from the SCR to NH4+ in the PM2.5, together with the conversion of SO2 to SO42-, and increased the primary NH4+ and SO42- aerosol emissions by approximately 18.9 and 4.2 times, respectively. This adverse effect should be considered when updating the emission inventory of CFPPs and should draw the attention of policy-makers for future air pollution control.
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Affiliation(s)
- Zhen Li
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China
| | - Jingkun Jiang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Tsinghua University, Beijing, China
| | - Zizhen Ma
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China
| | - Oscar A Fajardo
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China; Department of Environmental Engineering, Faculty of Engineering and Basic Sciences, Central University, Bogotá, Colombia
| | - Jianguo Deng
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China
| | - Lei Duan
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China; Collaborative Innovation Centre for Regional Environmental Quality, Tsinghua University, Beijing, China.
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122
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Ma J, Simonich S, Tao S. New Discoveries to Old Problems: A Virtual Issue on Air Pollution in Rapidly Industrializing Countries. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2017; 51:11497-11501. [PMID: 29037048 DOI: 10.1021/acs.est.7b04885] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Affiliation(s)
- Jianmin Ma
- Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University , Beijing, 100871, China
| | - Staci Simonich
- Environmental and Molecular Toxicology, Oregon State University , Corvallis, Oregon 97331, United States
| | - Shu Tao
- Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University , Beijing, 100871, China
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123
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Wang X, Zong Z, Tian C, Chen Y, Luo C, Li J, Zhang G, Luo Y. Combining Positive Matrix Factorization and Radiocarbon Measurements for Source Apportionment of PM 2.5 from a National Background Site in North China. Sci Rep 2017; 7:10648. [PMID: 28878221 PMCID: PMC5587569 DOI: 10.1038/s41598-017-10762-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2017] [Accepted: 08/14/2017] [Indexed: 11/17/2022] Open
Abstract
To explore the utility of combining positive matrix factorization (PMF) with radiocarbon (14C) measurements for source apportionment, we applied PM2.5 data collected for 14 months at a national background station in North China to PMF models. The solutions were compared to 14C results of four seasonally averaged samples and three outlier samples. Comparing the most readily interpretable PMF solutions and 14C results revealed that PMF modeling was well able to capture the source patterns of PM2.5 with two and three irrelevant source classifications for the seasonal and outlier samples. The contribution of sources that could not be classified as either fossil or non-fossil sources in the PMF solution, and the errors between the modeled and measured concentrations weakened the effectiveness of the comparison. Based on these two factors, we developed an index for selecting the most suitable 14C measurement samples for combining with the PMF model. Then we examined the potential for coupling PMF modeling and 14C data with a constrained PMF run using the 14C data as a priori information. The restricted run could provide a more reliable solution; however, the PMF model must provide a flexible dialog to input the priori restrictions for executing the constraint simulation.
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Affiliation(s)
- Xiaoping Wang
- State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China.,Key Laboratory of Coastal Zone Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, 264003, China
| | - Zheng Zong
- Key Laboratory of Coastal Zone Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, 264003, China
| | - Chongguo Tian
- Key Laboratory of Coastal Zone Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, 264003, China.
| | - Yingjun Chen
- Key Laboratory of Cities' Mitigation and Adaptation to Climate Change in Shanghai (CMA), College of Environmental Science and Engineering, Tongji University, Shanghai, 200092, China
| | - Chunling Luo
- State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China
| | - Jun Li
- State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China
| | - Gan Zhang
- State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China
| | - Yongming Luo
- Key Laboratory of Coastal Zone Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, 264003, China
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124
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Ledoux F, Kfoury A, Delmaire G, Roussel G, El Zein A, Courcot D. Contributions of local and regional anthropogenic sources of metals in PM 2.5 at an urban site in northern France. CHEMOSPHERE 2017; 181:713-724. [PMID: 28477528 DOI: 10.1016/j.chemosphere.2017.04.128] [Citation(s) in RCA: 50] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/30/2016] [Revised: 04/14/2017] [Accepted: 04/24/2017] [Indexed: 05/17/2023]
Abstract
PM2.5 have been related to various adverse health effects, mainly due to their ability to penetrate deeply and to convey harmful chemical components, such as metals inside the body. In this work, PM2.5 were sampled at Saint-Omer, a medium-sized city located in northern France, in March-April 2011 and analyzed for their total carbon, water-soluble ions, major and trace elements. More specifically, the origin of 15 selected elements was examined using different tools including enrichment factors, conditional bivariate probability function (CBPF) representations, diagnostic ratios and receptor modelling. The results indicated that PM2.5 metal composition is affected by both emissions of a local glassmaking factory and an integrated steelworks located at a distance of 35 km from the sampling site. For the first time, diagnostic ratios were proposed for the glassmaking activity. Therefore, metals in PM2.5 could be attributed to the following anthropogenic sources: (i) local glassmaking industry for Sn, As, Cu and Cr, (ii) distant integrated steelworks for Ag, Fe, Cd, Mn, Rb and Pb, (iii) heavy fuel oil combustion for Ni, V and Co and (iv) non-exhaust traffic for Zn, Pb, Mn, Sb, and Cu. The impact of such sources on metal concentrations in PM2.5 was assessed using a constrained receptor model. Despite their low participation to PM2.5 concentration (2.7%), the latter sources were found as the main contributors (80%) to the overall concentration levels of the 15 selected elements in PM2.5.
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Affiliation(s)
- Frédéric Ledoux
- Unité de Chimie Environnementale et Interactions sur le Vivant (UCEIV) EA4492, Université du Littoral Côte d'Opale, F-59140 Dunkerque, France.
| | - Adib Kfoury
- Unité de Chimie Environnementale et Interactions sur le Vivant (UCEIV) EA4492, Université du Littoral Côte d'Opale, F-59140 Dunkerque, France; Department of Environmental Sciences, University of Balamand, Al Kourah, Lebanon
| | - Gilles Delmaire
- Laboratoire d'Informatique Signal et Image de la Côte d'Opale (LISIC) EA4491, Université du Littoral Côte d'Opale, F-62228 Calais, France
| | - Gilles Roussel
- Laboratoire d'Informatique Signal et Image de la Côte d'Opale (LISIC) EA4491, Université du Littoral Côte d'Opale, F-62228 Calais, France
| | - Atallah El Zein
- Unité de Chimie Environnementale et Interactions sur le Vivant (UCEIV) EA4492, Université du Littoral Côte d'Opale, F-59140 Dunkerque, France
| | - Dominique Courcot
- Unité de Chimie Environnementale et Interactions sur le Vivant (UCEIV) EA4492, Université du Littoral Côte d'Opale, F-59140 Dunkerque, France
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125
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Han X, Guo Q, Strauss H, Liu C, Hu J, Guo Z, Wei R, Peters M, Tian L, Kong J. Multiple Sulfur Isotope Constraints on Sources and Formation Processes of Sulfate in Beijing PM 2.5 Aerosol. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2017; 51:7794-7803. [PMID: 28605583 DOI: 10.1021/acs.est.7b00280] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
Recently air pollution is seriously threatening the health of millions of people in China. The multiple sulfur isotopic composition of sulfate in PM2.5 samples collected in Beijing is used to better constrain potential sources and formation processes of sulfate aerosol. The Δ33S values of sulfate in PM2.5 show a pronounced seasonality with positive values in spring, summer and autumn and negative values in winter. Positive Δ33S anomalies are interpreted to result from SO2 photolysis with self-shielding, and may reflect air mass transport between the troposphere and the stratosphere. The negative Δ33S signature (-0.300‰ < Δ33S < 0‰) in winter is possibly related to incomplete combustion of coal in residential stoves during the heating season, implying that sulfur dioxide released from residential stoves in more rural areas is an important contributor to atmospheric sulfate. However, negative Δ33S anomalies (-0.664‰ < Δ33S ← 0.300‰) in winter and positive Δ33S anomalies (0.300‰ < Δ33S < 0.480‰) in spring, summer, and autumn suggest sulfur isotopic equilibrium on an annual time frame, which may provide an implication for the absence of mass-independent fractionation of sulfur isotopes (S-MIF) in younger sediments. Results obtained here reveal that reducing the usage of coal and improving the heating system in rural areas will be important for efficiently decreasing the emissions of sulfur in China and beyond.
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Affiliation(s)
- Xiaokun Han
- Center for Environmental Remediation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences , 11A Datun Road, Chaoyang, Beijing 100101, China
| | - Qingjun Guo
- Center for Environmental Remediation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences , 11A Datun Road, Chaoyang, Beijing 100101, China
- College of Resources and Environment, University of Chinese Academy of Sciences , Beijing 100049, China
| | - Harald Strauss
- Institut für Geologie und Paläontologie, Westfälische Wilhelms-Universität Münster , Corrensstrasse 24, 48149 Münster, Germany
| | - Congqiang Liu
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences , Guiyang Guizhou 550002, China
| | - Jian Hu
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences , Guiyang Guizhou 550002, China
| | - Zhaobing Guo
- School of Environmental Science and Engineering, Nanjing University of Information Science and Technology , Nanjing 210044, China
| | - Rongfei Wei
- Center for Environmental Remediation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences , 11A Datun Road, Chaoyang, Beijing 100101, China
| | - Marc Peters
- Center for Environmental Remediation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences , 11A Datun Road, Chaoyang, Beijing 100101, China
| | - Liyan Tian
- Center for Environmental Remediation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences , 11A Datun Road, Chaoyang, Beijing 100101, China
| | - Jing Kong
- Center for Environmental Remediation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences , 11A Datun Road, Chaoyang, Beijing 100101, China
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126
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Xu JS, Xu MX, Snape C, He J, Behera SN, Xu HH, Ji DS, Wang CJ, Yu H, Xiao H, Jiang YJ, Qi B, Du RG. Temporal and spatial variation in major ion chemistry and source identification of secondary inorganic aerosols in Northern Zhejiang Province, China. CHEMOSPHERE 2017; 179:316-330. [PMID: 28376395 DOI: 10.1016/j.chemosphere.2017.03.119] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2017] [Revised: 03/26/2017] [Accepted: 03/27/2017] [Indexed: 06/07/2023]
Abstract
To investigate the seasonal and spatial variations of ion chemistry of fine particles in Northern Zhejiang Province (NZP), China, one year-long field sampling was conducted at four representative sites (two urban, one suburb, and one rural sites) in both cities of Hangzhou and Ningbo from December 2014 to November 2015. Twelve water soluble inorganic ions (WSII) were characterized in this comprehensive study. The annual average of PM2.5 concentration in NZP as overall was 66.2 ± 37.7 μg m-3, and urban sites in NZP were observed with more severe PM2.5 pollution than the suburban and rural sites. The annual average concentration of total WSII at four sampling sites in NZP was 29.1 ± 19.9 μg m-3, dominated by SO42- (10.3 μg m-3), and followed by NO3- (8.9 μg m-3), NH4+ (6.6 μg m-3), Cl- (1.3 μg m-3) and K+ (0.7 μg m-3). Among all cations, NH4+ was the predominant neutralizing ion with the highest neutralization factor (NF), while the remaining cations showed limited neutralization capacity. The highest and lowest sulfur oxidation ratio (SOR) values in this region were found in summer and winter, respectively; while the seasonal patterns for nitrogen oxidation ratio (NOR) were opposite to that of SOR. Principal component analysis (PCA) showed that the significant sources of WSII in NZP were industrial emissions, biomass burning, and formation of secondary inorganic aerosols. In addition, contribution from transboundary transport of polluted aerosols was also confirmed from the assessment through air mass backward trajectory analysis.
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Affiliation(s)
- Jing-Sha Xu
- International Doctoral Innovation Centre, The University of Nottingham Ningbo China, Ningbo, PR China; Department of Chemical and Environmental Engineering, The University of Nottingham Ningbo China, Ningbo, PR China
| | - Meng-Xia Xu
- Department of Chemical and Environmental Engineering, The University of Nottingham Ningbo China, Ningbo, PR China
| | - Colin Snape
- Faculty of Engineering, University of Nottingham, University Park, Nottingham, NG7 2RD, UK
| | - Jun He
- International Doctoral Innovation Centre, The University of Nottingham Ningbo China, Ningbo, PR China; Department of Chemical and Environmental Engineering, The University of Nottingham Ningbo China, Ningbo, PR China; Centre for Sustainable Energy Technologies, The University of Nottingham Ningbo China, Ningbo, PR China; Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science & Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control (AEMPC), Nanjing, PR China.
| | - Sailesh N Behera
- Department of Civil Engineering, Shiv Nadar University, Greater Noida, U.P., India
| | - Hong-Hui Xu
- Zhejiang Meteorological Science Institute, Hangzhou, PR China.
| | - Dong-Sheng Ji
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, PR China
| | - Cheng-Jun Wang
- College of Chemistry and Materials Engineering, Wenzhou University, Wenzhou, PR China
| | - Huan Yu
- School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, PR China
| | - Hang Xiao
- Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, PR China
| | - Yu-Jun Jiang
- Zhejiang Meteorological Science Institute, Hangzhou, PR China
| | - Bing Qi
- Hangzhou Meteorological Bureau, Hangzhou, PR China
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127
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Zong Z, Wang X, Tian C, Chen Y, Fang Y, Zhang F, Li C, Sun J, Li J, Zhang G. First Assessment of NO x Sources at a Regional Background Site in North China Using Isotopic Analysis Linked with Modeling. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2017; 51:5923-5931. [PMID: 28516763 DOI: 10.1021/acs.est.6b06316] [Citation(s) in RCA: 70] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
Nitrogen oxides (NOx, including NO and NO2) play an important role in the formation of atmospheric particles. Thus, NOx emission reduction is critical for improving air quality, especially in severely air-polluted regions (e.g., North China). In this study, the source of NOx was investigated by the isotopic composition (δ15N) of particulate nitrate (p-NO3-) at Beihuangcheng Island (BH), a regional background site in North China. It was found that the δ15N-NO3- (n = 120) values varied between -1.7‰ and +24.0‰ and the δ18O-NO3- values ranged from 49.4‰ to 103.9‰. On the basis of the Bayesian mixing model, 27.78 ± 8.89%, 36.53 ± 6.66%, 22.01 ± 6.92%, and 13.68 ± 3.16% of annual NOx could be attributed to biomass burning, coal combustion, mobile sources, and biogenic soil emissions, respectively. Seasonally, the four sources were similar in spring and fall. Biogenic soil emissions were augmented in summer in association with the hot and rainy weather. Coal combustion increased significantly in winter with other sources showing an obvious decline. This study confirmed that isotope-modeling by δ15N-NO3- is a promising tool for partitioning NOx sources and provides guidance to policymakers with regard to options for NOx reduction in North China.
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Affiliation(s)
- Zheng Zong
- Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences , Yantai, Shandong 264003, China
- University of Chinese Academy of Sciences , Beijing, 100049, China
| | - Xiaoping Wang
- State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences , Guangzhou, Guangdong 510640, China
| | - Chongguo Tian
- Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences , Yantai, Shandong 264003, China
| | - Yingjun Chen
- Key Laboratory of Cities' Mitigation and Adaptation to Climate Change in Shanghai (CMA), College of Environmental Science and Engineering, Tongji University , Shanghai, 200092, China
| | - Yunting Fang
- Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences , Shenyang, Liaoning 110164, China
| | - Fan Zhang
- Key Laboratory of Cities' Mitigation and Adaptation to Climate Change in Shanghai (CMA), College of Environmental Science and Engineering, Tongji University , Shanghai, 200092, China
| | - Cheng Li
- College of Environmental Science and Engineering, South China University of Technology , Guangzhou, Guangdong 510006, China
| | - Jianzhong Sun
- Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences , Yantai, Shandong 264003, China
| | - Jun Li
- State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences , Guangzhou, Guangdong 510640, China
| | - Gan Zhang
- State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences , Guangzhou, Guangdong 510640, China
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128
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Meng W, Zhong Q, Yun X, Zhu X, Huang T, Shen H, Chen Y, Chen H, Zhou F, Liu J, Wang X, Zeng EY, Tao S. Improvement of a Global High-Resolution Ammonia Emission Inventory for Combustion and Industrial Sources with New Data from the Residential and Transportation Sectors. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2017; 51:2821-2829. [PMID: 28121429 DOI: 10.1021/acs.est.6b03694] [Citation(s) in RCA: 66] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
There is increasing evidence indicating the critical role of ammonia (NH3) in the formation of secondary aerosols. Therefore, high quality NH3 emission inventory is important for modeling particulate matter in the atmosphere. Unfortunately, without directly measured emission factors (EFs) in developing countries, using data from developed countries could result in an underestimation of these emissions. A series of newly reported EFs for China provide an opportunity to update the NH3 emission inventory. In addition, a recently released fuel consumption data product has allowed for a multisource, high-resolution inventory to be assembled. In this study, an improved global NH3 emission inventory for combustion and industrial sources with high sectorial (70 sources), spatial (0.1° × 0.1°), and temporal (monthly) resolutions was compiled for the years 1960 to 2013. The estimated emissions from transportation (1.59 Tg) sectors in 2010 was 2.2 times higher than those of previous reports. The spatial variation of the emissions was associated with population, gross domestic production, and temperature. Unlike other major air pollutants, NH3 emissions continue to increase, even in developed countries, which is likely caused by an increased use of biomass fuel in the residential sector. The emissions density of NH3 in urban areas is an order of magnitude higher than in rural areas.
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Affiliation(s)
- Wenjun Meng
- College of Urban and Environmental Sciences, Peking University , Beijing 100871, China
| | - Qirui Zhong
- College of Urban and Environmental Sciences, Peking University , Beijing 100871, China
| | - Xiao Yun
- College of Urban and Environmental Sciences, Peking University , Beijing 100871, China
| | - Xi Zhu
- College of Urban and Environmental Sciences, Peking University , Beijing 100871, China
| | - Tianbo Huang
- College of Urban and Environmental Sciences, Peking University , Beijing 100871, China
| | - Huizhong Shen
- College of Urban and Environmental Sciences, Peking University , Beijing 100871, China
| | - Yilin Chen
- College of Urban and Environmental Sciences, Peking University , Beijing 100871, China
| | - Han Chen
- College of Urban and Environmental Sciences, Peking University , Beijing 100871, China
| | - Feng Zhou
- College of Urban and Environmental Sciences, Peking University , Beijing 100871, China
| | - Junfeng Liu
- College of Urban and Environmental Sciences, Peking University , Beijing 100871, China
| | - Xinming Wang
- Guangzhou Institute of Geochemistry, Chinese Academy of Sciences , Guangzhou, 51064, China
| | - Eddy Y Zeng
- School of Environment, Guangzhou Key Laboratory of Environmental Exposure and Health and Guangdong Key Laboratory of Environmental Pollution and Health, Jinan University , Guangzhou 510632, China
| | - Shu Tao
- College of Urban and Environmental Sciences, Peking University , Beijing 100871, China
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129
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Pu W, Quan W, Ma Z, Shi X, Zhao X, Zhang L, Wang Z, Wang W. Long-term trend of chemical composition of atmospheric precipitation at a regional background station in Northern China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2017; 580:1340-1350. [PMID: 28011029 DOI: 10.1016/j.scitotenv.2016.12.097] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/08/2016] [Revised: 12/03/2016] [Accepted: 12/14/2016] [Indexed: 06/06/2023]
Abstract
Understanding the trend of chemical composition of precipitation is of great importance for air pollution control strategies in Northern China. A comprehensive study on the long-term chemical compositions of precipitation was carried out from 2003 to 2014 at the Shangdianzi (SDZ) regional background station in northern China. All samples were analyzed for pH, electrical conductivity and major ions (F-, Cl-, NO3-, SO42-, NH4+, Mg2+, Ca2+, K+ and Na+). The average pH during this period was 4.53±0.35, which is considerably lower than those reported in other background stations in China (Linan, Waliguan and Longfengshan). NH4+, SO42-, Ca2+ and NO3- were the dominant ions in precipitation, with concentrations (volume-weighted mean) of 212.99μeqL-1, 200.20μeqL-1, 116.88μeqL-1 and 98.56μeqL-1, respectively. The ion concentrations at SDZ were much higher than those of other background stations and megacities in China. A significantly increasing trend was observed for NO3- (7.26%year-1), and a decreasing trend was observed for SO42-/NO3-, suggesting that the precipitation of SDZ evolved from a sulfuric acid type to a mixed type dominated by both sulfuric and nitric acid. The source identification indicated that SO42-, NO3-, NH4+ and F- were dominated by secondary sources, Mg2+, Ca2+ and Na+ mostly originated from natural sources, and K+ and Cl- probably associated with anthropogenic sources. Long-range transport of air masses could influence the acidity, electrical conductivity and ion concentrations of precipitation at SDZ. The higher acidity and ion concentrations mainly occurred in the southerly and westerly trajectory pathways and partially in northwest pathways. Anthropogenic pollutants and crustal sources along these pathways were significant contributors to the chemical composition of precipitation in SDZ.
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Affiliation(s)
- Weiwei Pu
- Institute of Urban Meteorology, China Meteorological Administration, Beijing 100089, China; Environmental Meteorology Forecast Center of Beijing-Tianjin-Hebei, China Meteorological Administration, Beijing 100089, China
| | - Weijun Quan
- Environmental Meteorology Forecast Center of Beijing-Tianjin-Hebei, China Meteorological Administration, Beijing 100089, China
| | - Zhiqiang Ma
- Institute of Urban Meteorology, China Meteorological Administration, Beijing 100089, China; Environmental Meteorology Forecast Center of Beijing-Tianjin-Hebei, China Meteorological Administration, Beijing 100089, China.
| | - Xuefeng Shi
- China Meteorological Administration, Beijing 100081, China
| | - Xiujuan Zhao
- Institute of Urban Meteorology, China Meteorological Administration, Beijing 100089, China; Environmental Meteorology Forecast Center of Beijing-Tianjin-Hebei, China Meteorological Administration, Beijing 100089, China
| | - Linna Zhang
- Beijing Meteorological Observatory, 100081, China
| | - Zhenfa Wang
- Miyun Meteorology Service, Beijing 101500, China
| | - Wenyan Wang
- Miyun Meteorology Service, Beijing 101500, China
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130
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Wang H, Yang F, Shi G, Tian M, Zhang L, Zhang L, Fu C. Ambient concentration and dry deposition of major inorganic nitrogen species at two urban sites in Sichuan Basin, China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2016; 219:235-244. [PMID: 27814540 DOI: 10.1016/j.envpol.2016.10.016] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2016] [Revised: 09/29/2016] [Accepted: 10/06/2016] [Indexed: 06/06/2023]
Abstract
To assess pollution levels of major inorganic nitrogen species and their atmospheric deposition input to sensitive ecosystems in Sichuan Basin, southwest China, ambient concentrations of oxidized (NOy ∼ NO2, HNO3, NO3-) and reduced (NHx = NH3, NH4+) nitrogen species were collected at two urban sites during four one-month periods, each in a different season from July 2014 to April 2015. Estimated annual mean concentration of NOy was 20.3 and 13.5 μg N m-3 in Chengdu and Wanzhou, respectively, and NHx was 16.9 and 13.6 μg N m-3, respectively. Back trajectory cluster analysis indicated that high levels of NOy and NHx in Chengdu were mainly caused by local emissions while those in Wanzhou were caused by both the local emissions and long-range transport of pollutants. On annual basis, NO2 contributed the most to NOy, followed by NO3- and HNO3, accounting for 87.5%, 10.5% and 2.0%, respectively, of NOy in Chengdu, and 91.4%, 6.9% and 1.7%, respectively, in Wanzhou. NH3 was the predominant contributor to NHx, contributing 65.6% and 72.2% in Chengdu and Wanzhou, respectively. Dry deposition fluxes were estimated using the inferential method with measured ambient concentrations and modelled dry deposition velocities. The total inorganic nitrogen dry deposition flux was estimated to be 21.4 and 8.5 kg N ha-1 yr-1, with 44.3% and 41.4% from NOy in Chengdu and Wanzhou, respectively. NO2 and NH3 each contributed about 80% of NOy and NHx dry deposition, respectively. Wet deposition was only collected in Wanzhou, where the annual wet deposition of NO3- and NH4+ was 4.5 and 15.7 kg N ha-1 yr-1, respectively. The total wet plus dry deposition was 28.7 kg N ha-1 yr-1 in Wanzhou with 72.2% from reduced nitrogen. Therefore, controlling NH3 emissions from agricultural, traffic, waste containers and sewage system sources would be effective to reduce the total nitrogen deposition in the Sichuan Basin area.
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Affiliation(s)
- Huanbo Wang
- Center for Atmospheric Environment, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, China
| | - Fumo Yang
- Center for Atmospheric Environment, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, China; CAS Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China
| | - Guangming Shi
- Center for Atmospheric Environment, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, China.
| | - Mi Tian
- Center for Atmospheric Environment, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, China
| | - Leiming Zhang
- Air Quality Research Division, Science and Technology Branch, Environment and Climate Change Canada, Toronto, M3H 5T4, Canada
| | - Liuyi Zhang
- Center for Atmospheric Environment, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, China; Key Laboratory of Water Environment Evolution and Pollution Control in Three Gorges Reservoir, Chongqing Three Gorges University, Chongqing, 404100, China
| | - Chuan Fu
- Key Laboratory of Water Environment Evolution and Pollution Control in Three Gorges Reservoir, Chongqing Three Gorges University, Chongqing, 404100, China
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Abstract
Sulfate aerosols exert profound impacts on human and ecosystem health, weather, and climate, but their formation mechanism remains uncertain. Atmospheric models consistently underpredict sulfate levels under diverse environmental conditions. From atmospheric measurements in two Chinese megacities and complementary laboratory experiments, we show that the aqueous oxidation of SO2 by NO2 is key to efficient sulfate formation but is only feasible under two atmospheric conditions: on fine aerosols with high relative humidity and NH3 neutralization or under cloud conditions. Under polluted environments, this SO2 oxidation process leads to large sulfate production rates and promotes formation of nitrate and organic matter on aqueous particles, exacerbating severe haze development. Effective haze mitigation is achievable by intervening in the sulfate formation process with enforced NH3 and NO2 control measures. In addition to explaining the polluted episodes currently occurring in China and during the 1952 London Fog, this sulfate production mechanism is widespread, and our results suggest a way to tackle this growing problem in China and much of the developing world.
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132
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Jin L, Luo X, Fu P, Li X. Airborne particulate matter pollution in urban China: a chemical mixture perspective from sources to impacts. Natl Sci Rev 2016. [DOI: 10.1093/nsr/nww079] [Citation(s) in RCA: 57] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
AbstractRapid urban and industrial development has resulted in severe air-pollution problems in developing countries such as China, especially in highly industrialized and populous urban clusters. Dissecting the complex mixtures of airborne particulate matter (PM) has been a key scientific focus in the last two decades, leading to significant advances in understanding physicochemical compositions for comprehensive source apportionment. However, identifying causative components with an attributable link to population-based health outcomes remains a huge challenge. The microbiome, an integral dimension of the PM mixture, is an unexplored frontier in terms of identities and functions in atmospheric processes and human health. In this review, we identify the major gaps in addressing these issues, and recommend a holistic framework for evaluating the sources, processes and impacts of atmospheric PM pollution. Such an approach and the knowledge generated will facilitate the formulation of regulatory measures to control PM pollution in China and elsewhere.
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Affiliation(s)
- Ling Jin
- Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hong Kong, China
| | - Xiaosan Luo
- International Center for Ecology, Meteorology, and Environment, School of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, China
| | - Pingqing Fu
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
| | - Xiangdong Li
- Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hong Kong, China
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133
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Pan Y, Tian S, Liu D, Fang Y, Zhu X, Zhang Q, Zheng B, Michalski G, Wang Y. Reply to Comment on "Fossil Fuel Combustion-Related Emissions Dominate Atmospheric Ammonia Sources during Severe Haze Episodes: Evidence from 15N-Stable Isotope in Size-Resolved Aerosol Ammonium". ENVIRONMENTAL SCIENCE & TECHNOLOGY 2016; 50:10767-10768. [PMID: 27630056 DOI: 10.1021/acs.est.6b04197] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Affiliation(s)
- 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
| | - 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
| | - Dongwei Liu
- Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences , Shenyang, Liaoning 110164, China
| | - Yunting Fang
- Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences , Shenyang, Liaoning 110164, China
| | - Xiaying Zhu
- National Climate Center, China Meteorological Administration, Beijing 100081, China
| | - Qiang Zhang
- Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Tsinghua University , Beijing 100084, China
| | - Bo Zheng
- Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Tsinghua University , Beijing 100084, China
| | - Greg Michalski
- Department of Chemistry, Purdue University , 560 Oval Drive, West Lafayette, Indiana 47907, United States
| | - Yuesi Wang
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese Academy of Sciences , Beijing 100029, China
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134
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Chang Y, Ma H. Comment on "Fossil Fuel Combustion-Related Emissions Dominate Atmospheric Ammonia Sources during Severe Haze Episodes: Evidence from 15N-Stable Isotope in Size-Resolved Aerosol Ammonium". ENVIRONMENTAL SCIENCE & TECHNOLOGY 2016; 50:10765-10766. [PMID: 27629934 DOI: 10.1021/acs.est.6b03458] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Affiliation(s)
- Yunhua Chang
- Yale-NUIST Center on Atmospheric Environment, Nanjing University of Information Science and Technology , Nanjing 10044, China
| | - Hongrui Ma
- Yale-NUIST Center on Atmospheric Environment, Nanjing University of Information Science and Technology , Nanjing 10044, China
- School of Environmental Science and Engineering, Shaanxi University of Science and Technology , Xi'an, Shaanxi 710021, China
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