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Wang Z, Li J, Wang H, Fan B, Bashir MA, Dai F, Zhai L, Liu H. Nitrous oxide emissions and soil profile responses to manure substitution in the North China Plain drylands. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 953:175820. [PMID: 39197772 DOI: 10.1016/j.scitotenv.2024.175820] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/26/2024] [Revised: 08/20/2024] [Accepted: 08/25/2024] [Indexed: 09/01/2024]
Abstract
Substituting synthetic fertilizers with manures in agriculture enhances soil properties and crop yield. However, the impact on nitrous oxide (N2O) emissions, especially from the soil profile, remains poorly understood. This study examined emissions from 2017 to 2019 on a well-established (>10-year) maize field site in the North China Plain. Three treatments were compared: 100 % synthetic nitrogen (NPK), 50 % synthetic fertilizer N + 50 % manure N substitution (50%MNS), and 100 % manure N substitution (100%MNS). N2O emissions were monitored for three years, and in 2019, N2O concentrations at 20 cm and 40 cm soil depths were analyzed in relation to surface N2O fluxes and environmental factors. The results showed manure substitution resulted in about 13.8 %-25.2 % (50%MNS) and 40.3 %-72.2 % (100%MNS) reduction in N2O emissions over the 3-year period compared with the NPK treatment. Throughout the maize growing season, the top-dressing accompanied by rainfall was responsible for the N2O emissions. The difference in N2O concentrations between all the treatments at 20 cm depth was insignificant, but at 40 cm depth the N2O concentrations were significantly higher for the 50%MNS treatment than the other treatments. The N2O fluxes and N2O concentration were not synchronized especially in NPK. The decoupled relationship between the N2O fluxes and the N2O concentration in the soil profile depth suggested the contribution of N2O produced in the soil profile to the surface N2O fluxes is limited. This study highlights that manure substitution is an efficient measure to reduce N2O emissions.
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Affiliation(s)
- Zhen Wang
- State Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northern China, Key Laboratory of Non-point Source Pollution Control, Ministry of Agriculture and Rural Affairs, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, PR China
| | - Jungai Li
- State Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northern China, Key Laboratory of Non-point Source Pollution Control, Ministry of Agriculture and Rural Affairs, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, PR China
| | - Hongyuan Wang
- State Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northern China, Key Laboratory of Non-point Source Pollution Control, Ministry of Agriculture and Rural Affairs, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, PR China.
| | - Bingqian Fan
- State Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northern China, Key Laboratory of Non-point Source Pollution Control, Ministry of Agriculture and Rural Affairs, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, PR China
| | | | - Fuyue Dai
- State Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northern China, Key Laboratory of Non-point Source Pollution Control, Ministry of Agriculture and Rural Affairs, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, PR China
| | - Limei Zhai
- State Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northern China, Key Laboratory of Non-point Source Pollution Control, Ministry of Agriculture and Rural Affairs, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, PR China
| | - Hongbin Liu
- State Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northern China, Key Laboratory of Non-point Source Pollution Control, Ministry of Agriculture and Rural Affairs, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, PR China; Heze Kingenta Ecological Engineering Co., Ltd, Shandong 274000, PR China.
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Wu W, Comer-Warner SA, Peacock M, Han X, Li SL, Ju X, Liu CQ, Smith P, Yan Z. IPCC Emission Factor Overestimates N 2O Emissions from Agricultural Ditches. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:20019-20029. [PMID: 39529580 DOI: 10.1021/acs.est.4c05760] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2024]
Abstract
Agricultural ditches emit disproportionate amounts of nitrous oxide (N2O), but their contributions to regional or global N2O emissions remain unclear due to limited data. The Intergovernmental Panel on Climate Change (IPCC) recommends using emission factors (EFs) to estimate indirect N2O emission, but the EF for ditches (EF5g) is categorized as groundwater, which potentially introduces a significant bias. This study conducted a regional-scale campaign in the North China Plain, one of the world's most intensive agricultural regions, and calculated the EF5g values from agricultural ditches by the concentration method (N2O-N/NO3--N). The results found that the regional-scale mean EF5g value (0.0028) was less than half of the IPCC default value (0.006), illustrating that the current IPCC methodology significantly overestimates N2O emissions from agricultural ditches. Despite the relatively small EF5g values, agricultural ditches exhibited a high mean N2O concentration (3.36 μg L-1) and a large regional emission (1.14 ± 0.86 Gg N2O-N yr-1), which is equal to 3.8 ± 2.9% of direct N2O emission from the croplands in the North China Plain. Since ditches are ubiquitous in agricultural regions and are likely to expand under climate change, refining EF5g is crucial to accurately assess their contribution to global N2O budgets.
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Affiliation(s)
- Wenxin Wu
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China
| | - Sophie A Comer-Warner
- School of Geography, Earth and Environmental Science, University of Birmingham, Birmingham B15 2TT, U.K
- University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States
| | - Mike Peacock
- Department of Geography and Planning, School of Environmental Sciences, University of Liverpool, Liverpool L69 3GP, U.K
- Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences, Uppsala 750 07, Sweden
| | - Xingxing Han
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China
| | - Si-Liang Li
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China
- Critical Zone Observatory of Bohai Coastal Region, Tianjin Key Laboratory of Earth Critical Zone Science and Sustainable Development in Bohai Rim, Tianjin University, Tianjin 300072, China
| | - Xiaotang Ju
- School of Tropical Agriculture and Forestry, Hainan University, Haikou 570228, China
| | - Cong-Qiang Liu
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China
- Critical Zone Observatory of Bohai Coastal Region, Tianjin Key Laboratory of Earth Critical Zone Science and Sustainable Development in Bohai Rim, Tianjin University, Tianjin 300072, China
- Haihe Laboratory of Sustainable Chemical Transformations, Tianjin 300072, China
| | - Pete Smith
- Institute of Biological & Environmental Sciences, University of Aberdeen, 23 St Machar Dr., Aberdeen AB24 3UU, U.K
| | - Zhifeng Yan
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China
- Critical Zone Observatory of Bohai Coastal Region, Tianjin Key Laboratory of Earth Critical Zone Science and Sustainable Development in Bohai Rim, Tianjin University, Tianjin 300072, China
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Zhang H, Ren R, Gao X, Wang H, Jiang W, Jiang X, Li Z, Pan J, Wang J, Wang S, Ding Y, Mu Y, Wang X, Du J, Li WT, Xiong Z, Zou J. Synchronous monitoring agricultural water qualities and greenhouse gas emissions based on low-cost Internet of Things and intelligent algorithms. WATER RESEARCH 2024; 268:122663. [PMID: 39467424 DOI: 10.1016/j.watres.2024.122663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/10/2024] [Revised: 09/24/2024] [Accepted: 10/17/2024] [Indexed: 10/30/2024]
Abstract
This study addressed the challenges of cost and portability in synchronous monitoring water quality and greenhouse gas emissions in paddy-dominated regions by developing a novel Internet of Things (IoT)-based monitoring system (WG-IoT-MS). The system, equipped with low-cost sensors and integrated intelligent algorithms, enabled real-time monitoring of dissolved N2O concentrations. Combined with an air-water gas exchange model, the system achieved efficient monitoring and simulation of CO2 and N2O emissions from agricultural water bodies while reducing monitoring costs by approximately 60 %. The proposed method was validated in paddy-dominated regions in Danyang, China. Results indicated the excellence of the dissolved N2O concentration model based on support vector regression, demonstrating accurate predictions within a concentration range of 2.003 to 13.247 μg/L. Notably, the model maintained acceptable predictive accuracy (R2 > 0.70) even when some variables were partially absent (with the number of missing variables < 2 and the missing proportion (MP) ≤ 50 %), making up for the data loss caused by sensor malfunctions. Furthermore, the model performed well (R2 > 0.80) when testing data sourced from paddy fields and lakes. Finally, CO2 and N2O emissions were successfully monitored, with the results validated using a floating chamber method (R2 > 0.70). The method provides crucial technical support for quantitative assessment of water quality and greenhouse gas emissions in paddy-dominated regions, laying a foundation for formulating effective emission reduction strategies.
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Affiliation(s)
- Huazhan Zhang
- Key Laboratory of Low-carbon and Green Agriculture in Southeastern China, Ministry of Agriculture and Rural Affairs, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing 210095, PR China
| | - Rui Ren
- Key Laboratory of Low-carbon and Green Agriculture in Southeastern China, Ministry of Agriculture and Rural Affairs, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing 210095, PR China
| | - Xiang Gao
- Key Laboratory of Low-carbon and Green Agriculture in Southeastern China, Ministry of Agriculture and Rural Affairs, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing 210095, PR China; Jiangsu Key Laboratory of Low Carbon Agriculture and GHGs Mitigation, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing 210095, PR China.
| | - Housheng Wang
- Key Laboratory of Low-carbon and Green Agriculture in Southeastern China, Ministry of Agriculture and Rural Affairs, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing 210095, PR China
| | - Wei Jiang
- Key Laboratory of Low-carbon and Green Agriculture in Southeastern China, Ministry of Agriculture and Rural Affairs, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing 210095, PR China
| | - Xiaosan Jiang
- Key Laboratory of Low-carbon and Green Agriculture in Southeastern China, Ministry of Agriculture and Rural Affairs, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing 210095, PR China
| | - Zhaofu Li
- Key Laboratory of Low-carbon and Green Agriculture in Southeastern China, Ministry of Agriculture and Rural Affairs, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing 210095, PR China
| | - Jianjun Pan
- Key Laboratory of Low-carbon and Green Agriculture in Southeastern China, Ministry of Agriculture and Rural Affairs, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing 210095, PR China
| | - Jinyang Wang
- Key Laboratory of Low-carbon and Green Agriculture in Southeastern China, Ministry of Agriculture and Rural Affairs, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing 210095, PR China; Jiangsu Key Laboratory of Low Carbon Agriculture and GHGs Mitigation, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing 210095, PR China
| | - Songhan Wang
- College of Agronomy, Nanjing Agricultural University, Nanjing 210095, PR China
| | - Yanfeng Ding
- College of Agronomy, Nanjing Agricultural University, Nanjing 210095, PR China
| | - Yue Mu
- Academy for advanced Interdisciplinary Studies, Nanjing Agricultural University, Nanjing 210095, PR China
| | - Xuelei Wang
- Institute of Remote Sensing Applications of Chinese Academy of Sciences, Beijing 100875, PR China
| | - Jizeng Du
- School of Environment, State Key Laboratory of Water Environment Simulation, Beijing Normal University, Beijing 100875, PR China
| | - Wen-Tao Li
- State Key Laboratory of Pollution Control and Resources Reuse, School of the Environment, Nanjing University 210023 Nanjing, PR China
| | - Zhengqin Xiong
- Key Laboratory of Low-carbon and Green Agriculture in Southeastern China, Ministry of Agriculture and Rural Affairs, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing 210095, PR China; Jiangsu Key Laboratory of Low Carbon Agriculture and GHGs Mitigation, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing 210095, PR China
| | - Jianwen Zou
- Key Laboratory of Low-carbon and Green Agriculture in Southeastern China, Ministry of Agriculture and Rural Affairs, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing 210095, PR China; Jiangsu Key Laboratory of Low Carbon Agriculture and GHGs Mitigation, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing 210095, PR China
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Xie S, Xia T, Li H, Chen Y, Zhang W. Variability in N 2O emission controls among different ponds within a hilly watershed. WATER RESEARCH 2024; 267:122467. [PMID: 39316960 DOI: 10.1016/j.watres.2024.122467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2024] [Revised: 09/15/2024] [Accepted: 09/16/2024] [Indexed: 09/26/2024]
Abstract
While it is well established that small water bodies like ponds play a disproportionately large role in contributing to N2O emissions, few studies have focused on lowland ponds in hilly watersheds. Here, we explored the characteristics of N2O concentrations and emissions from various typical ponds (village, tea, forested, and aquaculture ponds) in a hilly watershed and examined the specific controls influencing N2O production. Our findings revealed that tea ponds exhibited the highest N2O flux (8.42 ± 8.23 μmol m-2 d-1), which was 2.8 to 3.3 times greater than other types of ponds. Remarkable seasonal variations were observed in tea and forested ponds due to the seasonality of nutrient-enriched runoff, whereas such variations were less pronounced in village and aquaculture ponds. Key factors such as nitrogen levels, temperature, and dissolved oxygen (DO) emerged as the primary controls of N2O concentrations in ponds, heavily influenced by land use and human activities in their drainage areas. Specifically, N2O production in tea and aquaculture ponds was driven by N inputs from fertilization and feed, respectively, while DO levels governed the process in village and forested ponds, influenced by abundant algae and forest vegetation. This study emphasizes that environmental factors predominantly drive N2O production in ponds within hilly watersheds, but land use in the pond drainages acts as an indirect yet crucial influence. This highlights the need for future research to develop targeted emission reduction strategies based on land use to effectively mitigate N2O emissions, promising a path toward more sustainable and climate-friendly watershed management.
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Affiliation(s)
- Shuyi Xie
- Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China; Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Tianyu Xia
- Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China; Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China
| | - Hengpeng Li
- Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China; Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China
| | - Yongjuan Chen
- College of Civil and Architecture Engineering, Chuzhou University, Chuzhou 239000, China.
| | - Wangshou Zhang
- Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China; Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China.
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Yan X, Han H, Li X, Rong X, Xia L, Yan X, Xia Y. Small water body significantly contributes to nitrous oxide emissions in China's aquaculture. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 364:121472. [PMID: 38879968 DOI: 10.1016/j.jenvman.2024.121472] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/26/2024] [Revised: 06/06/2024] [Accepted: 06/10/2024] [Indexed: 06/18/2024]
Abstract
Aquaculture systems are expected to act as potential hotspots for nitrous oxide (N2O) emissions, largely attributed to substantial nutrient loading from aquafeed applications. However, the specific patterns and contributions of N2O fluxes from these systems to the global emissions inventory are not well characterized due to limited data. This study investigates the patterns of N2O flux across 127 freshwater systems in China to elucidate the role of aquaculture ponds and lakes/reservoirs in landscape N2O emission. Our findings show that the average N2O flux from aquaculture ponds was 3.63 times higher (28.73 μg N2O m-2 h-1) than that from non-aquaculture ponds. Additionally, the average N2O flux from aquaculture lakes/reservoirs (15.65 μg N2O m-2 h-1) increased 3.05 times compared to non-aquaculture lakes/reservoirs. The transition from non-aquaculture to aquaculture practices has resulted in a net annual increase of 7589 ± 2409 Mg N2O emissions in China's freshwater systems from 2003 to 2022, equivalent to 20% of total N2O emissions from China's inland water. Particularly, the robust negative regression relationship between N2O emission intensity and water area suggests that small ponds are hotspots of N2O emissions, a result of both elevated nutrient concentrations and more vigorous biogeochemical cycles. This indicates that N2O emissions from smaller aquaculture ponds are larger per unit area compared to equivalent larger water bodies. Our findings highlight that N2O emissions from aquaculture systems can not be proxied by those from natural water bodies, especially small water bodies exhibiting significant but largely unquantified N2O emissions. In the context of the rapid global expansion of aquaculture, this underscores the critical need to integrate aquaculture into global assessments of inland water N2O emissions to advance towards a low-carbon future.
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Affiliation(s)
- Xing Yan
- State Key Laboratory of Soil and Sustainable Agriculture, Changshu National Agro-Ecosystem Observation and Research Station, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, 210008, China; University of Chinese Academy of Sciences, Beijing, 100049, China; University of Chinese Academy of Sciences, Nanjing, 211135, China
| | - Haojie Han
- State Key Laboratory of Soil and Sustainable Agriculture, Changshu National Agro-Ecosystem Observation and Research Station, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, 210008, China; University of Chinese Academy of Sciences, Beijing, 100049, China; University of Chinese Academy of Sciences, Nanjing, 211135, China
| | - Xiaohan Li
- State Key Laboratory of Soil and Sustainable Agriculture, Changshu National Agro-Ecosystem Observation and Research Station, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, 210008, China; University of Chinese Academy of Sciences, Beijing, 100049, China; University of Chinese Academy of Sciences, Nanjing, 211135, China
| | - Xiangmin Rong
- College of Resources and Environment, Hunan Agricultural University, Changsha, 410128, China
| | - Longlong Xia
- State Key Laboratory of Soil and Sustainable Agriculture, Changshu National Agro-Ecosystem Observation and Research Station, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, 210008, China
| | - Xiaoyuan Yan
- State Key Laboratory of Soil and Sustainable Agriculture, Changshu National Agro-Ecosystem Observation and Research Station, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, 210008, China; University of Chinese Academy of Sciences, Nanjing, 211135, China
| | - Yongqiu Xia
- State Key Laboratory of Soil and Sustainable Agriculture, Changshu National Agro-Ecosystem Observation and Research Station, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, 210008, China; University of Chinese Academy of Sciences, Nanjing, 211135, China.
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Abulaiti A, She D, Pan Y, Shi Z, Hu L, Huang X, Shan J, Xia Y. Drainage ditches are significant sources of indirect N 2O emissions regulated by available carbon to nitrogen substrates in salt-affected farmlands. WATER RESEARCH 2024; 251:121164. [PMID: 38246078 DOI: 10.1016/j.watres.2024.121164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Revised: 01/15/2024] [Accepted: 01/16/2024] [Indexed: 01/23/2024]
Abstract
Agriculture is a main source of nitrous oxide (N2O) emissions. In agricultural systems, direct N2O emissions from nitrogen (N) addition to soils have been widely investigated, whereas indirect emissions from aquatic ecosystems such as ditches are poorly known, with insufficient data available to refine the IPCC emission factor. In this contribution, in situ N2O emissions from two ditch water‒air interfaces based on a diffusion model were investigated (almost once per month) from June 2021 to December 2022 in an intensive arable catchment with high N inputs and salt-affected conditions in the Qingtongxia Irrigation District, northwestern China. Our results implied that agricultural ditches (mean 148 μg N m-2 h-1) were significant sources for N2O emissions, and were approximately 2.1 times greater than those of the Yellow River directly connected to ditches. Agronomic management strategies increased N2O fluxes in summer, while precipitation events decreased N2O fluxes. Agronomic management strategies, including fertilization (294--540 kg N hm-2) and irrigation on farmland, resulted in enhanced diffuse N loads in drain water, whereas precipitation diluted the dissolved N2O concentration in ditches and accelerated the ditch flow rate, leading to changes in the residence time of N-containing substances in water. The spatial analysis showed that N2O fluxes (202-233 μg N m-2 h-1) in the headstream and upstream regions of ditches due to livestock and aquaculture pollution sources were relatively high compared to those in the midstream and downstream regions (100-114 μg N m-2 h-1). Furthermore, high available carbon (C) relative to N reduced N2O fluxes at low DOC:DIN ratio levels by inhibiting nitrification. Spatiotemporal variations in the N2O emission factor (EF5) across ditches with higher N resulted in lower EF5 and a large coefficient of variation (CV) range. EF5 was 0.0011 for the ditches in this region, while the EF5 (0.0025) currently adopted by the IPCC is relatively high. The EF5 variation was strongly controlled by the DOC:DIN ratio, TN, and NO3--N, while salinity was also a nonnegligible factor regulating the EF5 variation. The regression model incorporating NO3--N and the DOC:DIN ratio could greatly enhance the predictions of EF5 for agricultural ditches. Our study filled a key knowledge gap regarding EF5 from agricultural ditches in salt-affected farmland and offered a field investigation for refining the EF5 currently used by the IPCC.
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Affiliation(s)
- Alimu Abulaiti
- College of Agricultural Science and Engineering, Hohai University, Nanjing 211100, China; Jiangsu Province Engineering Research Center for Agricultural Soil‒Water Efficient Utilization, Carbon Sequestration and Emission Reduction, Nanjing 211100, China
| | - Dongli She
- College of Agricultural Science and Engineering, Hohai University, Nanjing 211100, China; College of Soil and Water Conservation, Hohai University, Changzhou 213200, China.
| | - Yongchun Pan
- College of Agricultural Science and Engineering, Hohai University, Nanjing 211100, China; Jiangsu Province Engineering Research Center for Agricultural Soil‒Water Efficient Utilization, Carbon Sequestration and Emission Reduction, Nanjing 211100, China
| | - Zhenqi Shi
- College of Agricultural Science and Engineering, Hohai University, Nanjing 211100, China; Jiangsu Province Engineering Research Center for Agricultural Soil‒Water Efficient Utilization, Carbon Sequestration and Emission Reduction, Nanjing 211100, China
| | - Lei Hu
- Jiangsu Surveying and Design Institute of Water Resources Co., Ltd., Yangzhou 225002, China
| | - Xuan Huang
- College of Agricultural Science and Engineering, Hohai University, Nanjing 211100, China; Jiangsu Province Engineering Research Center for Agricultural Soil‒Water Efficient Utilization, Carbon Sequestration and Emission Reduction, Nanjing 211100, China
| | - Jun Shan
- Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China
| | - Yongqiu Xia
- Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China
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Li Y, Tian H, Yao Y, Shi H, Bian Z, Shi Y, Wang S, Maavara T, Lauerwald R, Pan S. Increased nitrous oxide emissions from global lakes and reservoirs since the pre-industrial era. Nat Commun 2024; 15:942. [PMID: 38296943 PMCID: PMC10830459 DOI: 10.1038/s41467-024-45061-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2023] [Accepted: 01/11/2024] [Indexed: 02/02/2024] Open
Abstract
Lentic systems (lakes and reservoirs) are emission hotpots of nitrous oxide (N2O), a potent greenhouse gas; however, this has not been well quantified yet. Here we examine how multiple environmental forcings have affected N2O emissions from global lentic systems since the pre-industrial period. Our results show that global lentic systems emitted 64.6 ± 12.1 Gg N2O-N yr-1 in the 2010s, increased by 126% since the 1850s. The significance of small lentic systems on mitigating N2O emissions is highlighted due to their substantial emission rates and response to terrestrial environmental changes. Incorporated with riverine emissions, this study indicates that N2O emissions from global inland waters in the 2010s was 319.6 ± 58.2 Gg N yr-1. This suggests a global emission factor of 0.051% for inland water N2O emissions relative to agricultural nitrogen applications and provides the country-level emission factors (ranging from 0 to 0.341%) for improving the methodology for national greenhouse gas emission inventories.
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Affiliation(s)
- Ya Li
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China
- International Center for Climate and Global Change Research, Auburn University, Auburn, AL, 36849, USA
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Hanqin Tian
- Center for Earth System Science and Global Sustainability, Schiller Institute for Integrated Science and Society, Department of Earth and Environmental Sciences, Boston College, Chestnut Hill, MA, 02467, USA.
| | - Yuanzhi Yao
- School of Geographic Sciences, East China Normal University, Shanghai, 610000, China
| | - Hao Shi
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China
| | - Zihao Bian
- International Center for Climate and Global Change Research, Auburn University, Auburn, AL, 36849, USA
- School of Geography, Nanjing Normal University, Nanjing, 210023, China
| | - Yu Shi
- International Center for Climate and Global Change Research, Auburn University, Auburn, AL, 36849, USA
- College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Siyuan Wang
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Taylor Maavara
- School of Geography, University of Leeds, Leeds, LS2 9JT, UK
| | - Ronny Lauerwald
- Université Paris-Saclay, INRAE, AgroParisTech, UMR ECOSYS, Palaiseau, 91120, France
| | - Shufen Pan
- International Center for Climate and Global Change Research, Auburn University, Auburn, AL, 36849, USA
- Center for Earth System Science and Global Sustainability, Schiller Institute for Integrated Science and Society, Department of Earth and Environmental Sciences, Boston College, Chestnut Hill, MA, 02467, USA
- Department of Engineering, Boston College, Chestnut Hill, MA, 02467, USA
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Ho L, Barthel M, Harris S, Vermeulen K, Six J, Bodé S, Boeckx P, Goethals P. Unravelling spatiotemporal N 2O dynamics in an urbanized estuary system using natural abundance isotopes. WATER RESEARCH 2023; 247:120771. [PMID: 39492361 DOI: 10.1016/j.watres.2023.120771] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/28/2023] [Revised: 08/21/2023] [Accepted: 10/20/2023] [Indexed: 11/05/2024]
Abstract
Estuaries are strong sources of N2O to the atmosphere; yet we still lack insights into the impact of their biogeochemical dynamics on the emissions of this powerful greenhouse gas. Here, we investigated the spatiotemporal dynamics of the N cycle in an estuary with a focus on the emission mechanisms and pathways of N2O. By coupling N2O isotopocule analysis and substrate NO3- isotope analysis, we found that nutrient availability, oxygen level, salinity gradient and temperature variation were major drivers of the N2O emissions from the Scheldt Estuary. In winter, lower temperature and higher O2 concentration diminished denitrification rates and reduction of N2O to N2, while both were enhanced in warmer summer, causing higher fraction of reduced N2O. As a result, we found comparable N2O fluxes and dissolved concentrations between the two seasons. Decrease in salinity level and increase in NO3- concentration accelerated N2O production when moving upstream of the estuary where more urbanization and higher NO3- from wastewater discharges were found. However, these drivers had no significant effect on the fraction of N2O derived by either denitrification or nitrification and/or fungal denitrification since the fractional proportion of these pathways showed no spatiotemporal variations, remaining around 89 % and 11 %, respectively. These findings challenge the conventional notion that N2O fluxes are generally higher in summer because of higher denitrification rates while confirming that denitrification is the most important pathway of N2O production in the estuaries. Furthermore, our study highlight the importance of combining various isotope analyses to gain in-depth understanding about N2O emission pathways and N cycling in dynamic systems like estuaries.
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Affiliation(s)
- Long Ho
- Department of Animal Sciences and Aquatic Ecology, Ghent University, Gent, Belgium.
| | - Matti Barthel
- Department of Environmental Systems Science, ETH Zurich, Zurich, Switzerland
| | - Stephen Harris
- School of Biological, Earth and Environmental Sciences, UNSW Sydney, NSW 2052, Australia; Australian Nuclear Science and Technology Organisation, Lucas Heights, NSW 2234, Australia
| | - Kaat Vermeulen
- Department of Animal Sciences and Aquatic Ecology, Ghent University, Gent, Belgium
| | - Johan Six
- Department of Environmental Systems Science, ETH Zurich, Zurich, Switzerland
| | - Samuel Bodé
- Department of Green Chemistry and Technology, Isotope Bioscience Laboratory - ISOFYS, Gent University, Gent, Belgium
| | - Pascal Boeckx
- Department of Green Chemistry and Technology, Isotope Bioscience Laboratory - ISOFYS, Gent University, Gent, Belgium
| | - Peter Goethals
- Department of Animal Sciences and Aquatic Ecology, Ghent University, Gent, Belgium
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9
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He C, Qi R, Feng H, Zhao Z, Wang F, Wang D, Wang F, Chen X, Zhang P, Li S, Yi Y. Spatiotemporal variations and dominated environmental parameters of nitrous oxide (N 2O) concentrations from cascade reservoirs in southwest China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:102547-102559. [PMID: 37668782 DOI: 10.1007/s11356-023-29502-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Accepted: 08/22/2023] [Indexed: 09/06/2023]
Abstract
Anthropogenic activity has caused rivers and reservoirs to become sources of nitrous oxide (N2O), which is thought to play an important role in global climate change. There are thermal and DO stratification in deep-water reservoirs with long hydraulic retention time, which change N2O production mechanism compared with shallow-water reservoirs. To promote our understanding of the relationship of N2O production in reservoirs at different depths, spatiotemporal variations in water environmental factors and N2O from cascade reservoirs of Chaishitan (CST), Longtan (LT), Yantan (YT) and Dahua (DH) reservoirs in the Zhujiang River were detected, and the LT and YT reservoirs were compared as representatives of deep-water and shallow-water reservoirs in April and July 2019. The average N2O concentrations in the LT and YT reservoirs were 22.82 ± 2.21 and 21.55 ± 1.65 nmol L-1, respectively. During spring and summer, the WT (water temperature) and DO (dissolved oxygen) concentrations in the YT reservoir were well mixed. In contrast, the LT reservoir, as a deep-water reservoir, had thermal and DO stratifications in both the shallow and middle water, especially in the summer when the solar radiation intensity was high. During summer stratification, the DO concentration in the LT reservoir showed obvious spatial variation, ranging from 1.23 to 9.84 mg L-1, while the DO concentration in the YT reservoir showed very little variation, ranging from 6.45 to 7.09 mg L-1. Structural equation modeling results showed that NH4+ was the main determinant of the N2O concentration in the YT reservoir, and DO was the most influential factor of the N2O concentration in the LT reservoir. These results suggest significant variations in the factors influencing N2O concentration among reservoirs. Additionally, the mechanisms of N2O production differ between deep-water and shallow-water reservoirs. This study highlights the spatio-temporal variations and influential factors contributing to N2O concentration. Furthermore, it discusses the production mechanisms of N2O in different types of reservoirs. These findings contribute to our understanding of N2O distribution in hydropower systems and provide valuable data for the management of hydropower facilities and research on greenhouse gas emissions.
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Affiliation(s)
- Chiquan He
- School of Environmental and Chemical Engineering, Shanghai University, 150#, 99 Shangda Road, Shanghai, 200444, China
| | - Rui Qi
- School of Environmental and Chemical Engineering, Shanghai University, 150#, 99 Shangda Road, Shanghai, 200444, China
| | - Haiyue Feng
- School of Environmental and Chemical Engineering, Shanghai University, 150#, 99 Shangda Road, Shanghai, 200444, China
| | - Zhenzhen Zhao
- School of Environmental and Chemical Engineering, Shanghai University, 150#, 99 Shangda Road, Shanghai, 200444, China.
| | - Fushun Wang
- School of Environmental and Chemical Engineering, Shanghai University, 150#, 99 Shangda Road, Shanghai, 200444, China
| | - Daoyuan Wang
- School of Environmental and Chemical Engineering, Shanghai University, 150#, 99 Shangda Road, Shanghai, 200444, China
| | - Feifei Wang
- School of Environmental and Chemical Engineering, Shanghai University, 150#, 99 Shangda Road, Shanghai, 200444, China
| | - Xueping Chen
- School of Environmental and Chemical Engineering, Shanghai University, 150#, 99 Shangda Road, Shanghai, 200444, China
| | - Pu Zhang
- School of Environmental and Chemical Engineering, Shanghai University, 150#, 99 Shangda Road, Shanghai, 200444, China
| | - Siliang Li
- Institute of Surface-Earth System Science, Tianjin University, Tianjin, 300072, China
| | - Yuanbi Yi
- Institute of Surface-Earth System Science, Tianjin University, Tianjin, 300072, China
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10
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Ullah Z, Sattar F, Jee Kim H, Jang S, Sheena Mary Y, Zhan X, Wook Kwon H. Computational study of toxic gas removal. J Mol Liq 2022. [DOI: 10.1016/j.molliq.2022.120213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022]
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11
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McKay Fletcher D, Ruiz S, Williams K, Petroselli C, Walker N, Chadwick D, Jones DL, Roose T. Projected Increases in Precipitation Are Expected To Reduce Nitrogen Use Efficiency and Alter Optimal Fertilization Timings in Agriculture in the South East of England. ACS ES&T ENGINEERING 2022; 2:1414-1424. [PMID: 35991120 PMCID: PMC9379908 DOI: 10.1021/acsestengg.1c00492] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Nitrogen fertilization is vital for productive agriculture and efficient land use. However, globally, approximately 50% of the nitrogen applied is lost to the environment, causing inefficiencies, pollution, and greenhouse gas emissions. Rainfall and its effect on soil moisture are the major components controlling nitrogen losses in agriculture. Thus, changing rainfall patterns could accelerate nitrogen inefficiencies. We used a mechanistic modeling platform to determine how precipitation-optimal nitrogen fertilization timings and resulting crop nitrogen uptake have changed historically (1950-2020) and how they are predicted to change under the RCP8.5 climate scenario (2021-2069) in the South East of England. We found that historically, neither precipitation-optimal fertilization timings nor resulting plant uptake changed significantly. However, there were large year-to-year variations in both. In the 2030s, where it is projected to get wetter, precipitation-optimal fertilization timings are predicted to be later in the season and the resulting plant uptake noticeably lower. After 2040, the precipitation-optimal uptakes are projected to increase with earlier precipitation-optimal timings closer to historical values, corresponding to the projected mean daily rainfall rates decreasing to the historical values in these growing seasons. It seems that the interannual variation in precipitation-optimal uptake is projected to increase. Ultimately, projected changes in precipitation patterns will affect nitrogen uptake and precipitation-optimal fertilization timings. We argue that the use of bespoke fertilization timings in each year can help recuperate the reduced N uptake due to changing precipitation.
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Affiliation(s)
- Dan McKay Fletcher
- Bioengineering
Sciences Research Group, Department of Mechanical Engineering, School
of Engineering, Faculty of Engineering and Physical Sciences, University of Southampton, Southampton SO17 1BJ, U.K.
| | - Siul Ruiz
- Bioengineering
Sciences Research Group, Department of Mechanical Engineering, School
of Engineering, Faculty of Engineering and Physical Sciences, University of Southampton, Southampton SO17 1BJ, U.K.
| | - Katherine Williams
- Bioengineering
Sciences Research Group, Department of Mechanical Engineering, School
of Engineering, Faculty of Engineering and Physical Sciences, University of Southampton, Southampton SO17 1BJ, U.K.
- Faculty
of Science and Health, University of Portsmouth, Portsmouth PO1 2DT, U.K.
| | - Chiara Petroselli
- Bioengineering
Sciences Research Group, Department of Mechanical Engineering, School
of Engineering, Faculty of Engineering and Physical Sciences, University of Southampton, Southampton SO17 1BJ, U.K.
- Dipartimento
di Chimica, Biologia e Biotecnologie, Università
degli Studi di Perugia, Perugia 06125, Italy
| | - Nancy Walker
- Bioengineering
Sciences Research Group, Department of Mechanical Engineering, School
of Engineering, Faculty of Engineering and Physical Sciences, University of Southampton, Southampton SO17 1BJ, U.K.
| | - David Chadwick
- School
of Natural Science, Environment Centre Wales, Bangor University, Bangor, Gwynedd LL57 2UW, U.K.
| | - Davey L. Jones
- School
of Natural Science, Environment Centre Wales, Bangor University, Bangor, Gwynedd LL57 2UW, U.K.
- SoilsWest,
UWA School of Agriculture and Environment, The University of Western Australia, Perth, WA 6009, Australia
| | - Tiina Roose
- Bioengineering
Sciences Research Group, Department of Mechanical Engineering, School
of Engineering, Faculty of Engineering and Physical Sciences, University of Southampton, Southampton SO17 1BJ, U.K.
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12
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Zheng Y, Wu S, Xiao S, Yu K, Fang X, Xia L, Wang J, Liu S, Freeman C, Zou J. Global methane and nitrous oxide emissions from inland waters and estuaries. GLOBAL CHANGE BIOLOGY 2022; 28:4713-4725. [PMID: 35560967 DOI: 10.1111/gcb.16233] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 04/24/2022] [Indexed: 06/15/2023]
Abstract
Inland waters (rivers, reservoirs, lakes, ponds, streams) and estuaries are significant emitters of methane (CH4 ) and nitrous oxide (N2 O) to the atmosphere, while global estimates of these emissions have been hampered due to the lack of a worldwide comprehensive data set of CH4 and N2 O flux components. Here, we synthesize 2997 in-situ flux or concentration measurements of CH4 and N2 O from 277 peer-reviewed publications to estimate global CH4 and N2 O emissions from inland waters and estuaries. Inland waters including rivers, reservoirs, lakes, and streams together release 95.18 Tg CH4 year-1 (ebullition plus diffusion) and 1.48 Tg N2 O year-1 (diffusion) to the atmosphere, yielding an overall CO2 -equivalent emission total of 3.06 Pg CO2 year-1 . The estimate of CH4 and N2 O emissions represents roughly 60% of CO2 emissions (5.13 Pg CO2 year-1 ) from these four inland aquatic systems, among which lakes act as the largest emitter for both CH4 and N2 O. Ebullition showed as a dominant flux component of CH4 , contributing up to 62%-84% of total CH4 fluxes across all inland waters. Chamber-derived CH4 emission rates are significantly greater than those determined by diffusion model-based methods for commonly capturing of both diffusive and ebullitive fluxes. Water dissolved oxygen (DO) showed as a dominant factor among all variables to influence both CH4 (diffusive and ebullitive) and N2 O fluxes from inland waters. Our study reveals a major oversight in regional and global CH4 budgets from inland waters, caused by neglecting the dominant role of ebullition pathways in those emissions. The estimated indirect N2 O EF5 values suggest that a downward refinement is required in current IPCC default EF5 values for inland waters and estuaries. Our findings further indicate that a comprehensive understanding of the magnitude and patterns of CH4 and N2 O emissions from inland waters and estuaries is essential in defining the way of how these aquatic systems will shape our climate.
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Affiliation(s)
- Yajing Zheng
- Key Laboratory of Low-carbon and Green Agriculture in Southeastern China, Ministry of Agriculture and Rural Affairs, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, China
| | - Shuang Wu
- Key Laboratory of Low-carbon and Green Agriculture in Southeastern China, Ministry of Agriculture and Rural Affairs, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, China
| | - Shuqi Xiao
- Key Laboratory of Low-carbon and Green Agriculture in Southeastern China, Ministry of Agriculture and Rural Affairs, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, China
| | - Kai Yu
- Key Laboratory of Low-carbon and Green Agriculture in Southeastern China, Ministry of Agriculture and Rural Affairs, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, China
| | - Xiantao Fang
- Key Laboratory of Low-carbon and Green Agriculture in Southeastern China, Ministry of Agriculture and Rural Affairs, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, China
| | - Longlong Xia
- Institute of Meteorology and Climate Research, Atmospheric Environmental Research, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
| | - Jinyang Wang
- Key Laboratory of Low-carbon and Green Agriculture in Southeastern China, Ministry of Agriculture and Rural Affairs, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, China
- Jiangsu Key Laboratory of Low Carbon Agriculture and GHGs Mitigation, Nanjing, China
| | - Shuwei Liu
- Key Laboratory of Low-carbon and Green Agriculture in Southeastern China, Ministry of Agriculture and Rural Affairs, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, China
- Jiangsu Key Laboratory of Low Carbon Agriculture and GHGs Mitigation, Nanjing, China
- Jiangsu Key Lab and Engineering Center for Solid Organic Waste Utilization, Jiangsu Collaborative Innovation Center for Solid Organic Waste Resource Utilization, Nanjing, China
| | - Chris Freeman
- School of Natural Sciences, Bangor University, Bangor, UK
| | - Jianwen Zou
- Key Laboratory of Low-carbon and Green Agriculture in Southeastern China, Ministry of Agriculture and Rural Affairs, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, China
- Jiangsu Key Laboratory of Low Carbon Agriculture and GHGs Mitigation, Nanjing, China
- Jiangsu Key Lab and Engineering Center for Solid Organic Waste Utilization, Jiangsu Collaborative Innovation Center for Solid Organic Waste Resource Utilization, Nanjing, China
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13
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Ullah Z, Kraimi A, Kim HJ, Jang S, Mary YS, Kwon HW. Selective detection of F− ion and SO2 molecule: An experimental and DFT study. J Mol Liq 2022. [DOI: 10.1016/j.molliq.2022.119329] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
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14
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Greenhouse Gases Trade-Off from Ponds: An Overview of Emission Process and Their Driving Factors. WATER 2022. [DOI: 10.3390/w14060970] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Inland water bodies (particularly ponds) emit a significant amount of greenhouse gases (GHGs), particularly methane (CH4), carbon dioxide (CO2), and a comparatively low amount of nitrous oxide (N2O) to the atmosphere. In recent decades, ponds (<10,000 m2) probably account for about 1/3rd of the global lake perimeter and are considered a hotspot of GHG emissions. High nutrients and waterlogged conditions provide an ideal environment for CH4 production and emission. The rate of emissions differs according to climatic regions and is influenced by several biotic and abiotic factors, such as temperature, nutrients (C, N, & P), pH, dissolved oxygen, sediments, water depth, etc. Moreover, micro and macro planktons play a significant role in CO2 and CH4 emissions from ponds systems. Generally, in freshwater bodies, the produced N2O diffuses in the water and is converted into N2 gas through different biological processes. There are several other factors and mechanisms which significantly affect the CH4 and CO2 emission rate from ponds and need a comprehensive evaluation. This study aims to develop a decisive understanding of GHG emissions mechanisms, processes, and methods of measurement from ponds. Key factors affecting the emissions rate will also be discussed. This review will be highly useful for the environmentalists, policymakers, and water resources planners and managers to take suitable mitigation measures in advance so that the climatic impact could be reduced in the future.
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15
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Zhang S, Liu F, Xiao R, Lian S, Lv S. Effects of water level on nitrous oxide emissions from vegetated ditches. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 811:151419. [PMID: 34742973 DOI: 10.1016/j.scitotenv.2021.151419] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Revised: 10/29/2021] [Accepted: 10/30/2021] [Indexed: 06/13/2023]
Abstract
Nitrous oxide (N2O) is considered a powerful greenhouse gas. Vegetated ditches are an important source of N2O emissions in the agricultural systems. However, few studies have examined on the relationship between N2O emissions and the water level in vegetated ditches. To investigate the effect of water level on the N2O emissions, three pilot-scale ditches vegetated with Myriophyllum aquaticum were constructed with low (LW), medium (MW), and high (HW) water levels. The examined results indicated that the M. aquaticum ditches decreased N2O emissions by 38.4% and 67.9% in MW and HW, respectively, as compared to the LW ditch. In addition, the N2O emission factor decreased with increasing water level in the order of: LW (0.18%) > MW (0.11%) > HW (0.06%). The MW and HW ditches reduced the N2O emissions by controlling the sediment nitrogen contents, in which the ammonia nitrogen increased with increasing the level of water, while nitrate nitrogen decreased with increasing the level of water. The increase in the level of water significantly reduced the gene abundance of ammonia-oxidizing archaea (AOA) (p < 0.05), thereby reducing the N2O emissions in the MW and HW conditions due to the positive correlation between N2O emissions and AOA gene abundances. The unclassified_k_norank_d_Bacteria was the dominant denitrifying bacterial genus observed in the M. aquaticum ditches, and its highly relative abundance yielded low N2O emissions in the HW ditch. These findings indicate that reducing N2O emissions may be achieved by controlling the water level in vegetated ditches.
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Affiliation(s)
- Shunan Zhang
- Key Laboratory of Agro-ecological Processes in Subtropical Regions, Changsha Research Station for Agricultural & Environmental Monitoring, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Hunan 410125, China
| | - Feng Liu
- Key Laboratory of Agro-ecological Processes in Subtropical Regions, Changsha Research Station for Agricultural & Environmental Monitoring, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Hunan 410125, China; University of Chinese Academy of Sciences, Beijing 100039, China.
| | - Runlin Xiao
- Key Laboratory of Agro-ecological Processes in Subtropical Regions, Changsha Research Station for Agricultural & Environmental Monitoring, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Hunan 410125, China
| | - Shenhai Lian
- Key Laboratory of Agro-ecological Processes in Subtropical Regions, Changsha Research Station for Agricultural & Environmental Monitoring, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Hunan 410125, China; University of Chinese Academy of Sciences, Beijing 100039, China
| | - Shuangtong Lv
- Key Laboratory of Agro-ecological Processes in Subtropical Regions, Changsha Research Station for Agricultural & Environmental Monitoring, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Hunan 410125, China; University of Chinese Academy of Sciences, Beijing 100039, China
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16
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Xie Y, Zhang M, Xiao W, Zhao J, Huang W, Zhang Z, Hu Y, Qin Z, Jia L, Pu Y, Chu H, Wang J, Shi J, Liu S, Lee X. Nitrous oxide flux observed with tall-tower eddy covariance over a heterogeneous rice cultivation landscape. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 810:152210. [PMID: 34890681 DOI: 10.1016/j.scitotenv.2021.152210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Revised: 12/01/2021] [Accepted: 12/02/2021] [Indexed: 06/13/2023]
Abstract
Although croplands are known to be strong sources of anthropogenic N2O, large uncertainties still exist regarding their emission factors, that is, the proportion of N in fertilizer application that escapes to the atmosphere as N2O. In this study, we report the results of an experiment on the N2O flux in a landscape dominated by rice cultivation in the Yangtze River Delta, China. The observation was made with a closed-path eddy covariance system on a 70-m tall tower from October 2018 to December 2020 (27 months). Temperature and precipitation explained 78% of the seasonal and interannual variability in the observed N2O flux. The growing season (May to October) mean flux (1.14 nmol m-2 s-1) was much higher than the median flux found in the literature for rice paddies. The mean N2O flux during the observational period was 0.90 ± 0.71 nmol m-2 s-1, and the annual cumulative N2O emission was 7.6 and 9.1 kg N2O-N ha-1 during 2019 and 2020, respectively. The corresponding landscape emission factor was 3.8% and 4.6%, respectively, which were much higher than the IPCC default direct (0.3%) and indirect emission factors (0.75%) for rice paddies.
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Affiliation(s)
- Yanhong Xie
- Yale-NUIST Center on Atmospheric Environment, International Joint Laboratory on Climate and Environment Change (ILCEC), Nanjing University of Information Science and Technology, Nanjing, Jiangsu Province, China
| | - Mi Zhang
- Yale-NUIST Center on Atmospheric Environment, International Joint Laboratory on Climate and Environment Change (ILCEC), Nanjing University of Information Science and Technology, Nanjing, Jiangsu Province, China; Key Laboratory of Meteorological Disaster, Ministry of Education and Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing, Jiangsu Province, China
| | - Wei Xiao
- Yale-NUIST Center on Atmospheric Environment, International Joint Laboratory on Climate and Environment Change (ILCEC), Nanjing University of Information Science and Technology, Nanjing, Jiangsu Province, China; Key Laboratory of Meteorological Disaster, Ministry of Education and Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing, Jiangsu Province, China
| | - Jiayu Zhao
- Yale-NUIST Center on Atmospheric Environment, International Joint Laboratory on Climate and Environment Change (ILCEC), Nanjing University of Information Science and Technology, Nanjing, Jiangsu Province, China
| | - Wenjing Huang
- Yale-NUIST Center on Atmospheric Environment, International Joint Laboratory on Climate and Environment Change (ILCEC), Nanjing University of Information Science and Technology, Nanjing, Jiangsu Province, China
| | - Zhen Zhang
- Yale-NUIST Center on Atmospheric Environment, International Joint Laboratory on Climate and Environment Change (ILCEC), Nanjing University of Information Science and Technology, Nanjing, Jiangsu Province, China; Nanjing Jiangning District Meteorological Bureau, Nanjing, Jiangsu Province, China
| | - Yongbo Hu
- Yale-NUIST Center on Atmospheric Environment, International Joint Laboratory on Climate and Environment Change (ILCEC), Nanjing University of Information Science and Technology, Nanjing, Jiangsu Province, China
| | - Zhihao Qin
- Yale-NUIST Center on Atmospheric Environment, International Joint Laboratory on Climate and Environment Change (ILCEC), Nanjing University of Information Science and Technology, Nanjing, Jiangsu Province, China
| | - Lei Jia
- Yale-NUIST Center on Atmospheric Environment, International Joint Laboratory on Climate and Environment Change (ILCEC), Nanjing University of Information Science and Technology, Nanjing, Jiangsu Province, China
| | - Yini Pu
- Yale-NUIST Center on Atmospheric Environment, International Joint Laboratory on Climate and Environment Change (ILCEC), Nanjing University of Information Science and Technology, Nanjing, Jiangsu Province, China
| | - Haoran Chu
- Yale-NUIST Center on Atmospheric Environment, International Joint Laboratory on Climate and Environment Change (ILCEC), Nanjing University of Information Science and Technology, Nanjing, Jiangsu Province, China
| | - Jiao Wang
- Yale-NUIST Center on Atmospheric Environment, International Joint Laboratory on Climate and Environment Change (ILCEC), Nanjing University of Information Science and Technology, Nanjing, Jiangsu Province, China; Taiyuan Meteorological Bureau, Taiyuan, Shanxi Province, China
| | - Jie Shi
- Yale-NUIST Center on Atmospheric Environment, International Joint Laboratory on Climate and Environment Change (ILCEC), Nanjing University of Information Science and Technology, Nanjing, Jiangsu Province, China
| | - Shoudong Liu
- Yale-NUIST Center on Atmospheric Environment, International Joint Laboratory on Climate and Environment Change (ILCEC), Nanjing University of Information Science and Technology, Nanjing, Jiangsu Province, China
| | - Xuhui Lee
- School of the Environment, Yale University, New Haven, CT, USA.
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17
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Yang P, Luo L, Tang KW, Lai DYF, Tong C, Hong Y, Zhang L. Environmental drivers of nitrous oxide emission factor for a coastal reservoir and its catchment areas in southeastern China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 294:118568. [PMID: 34838712 DOI: 10.1016/j.envpol.2021.118568] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Revised: 11/19/2021] [Accepted: 11/20/2021] [Indexed: 06/13/2023]
Abstract
While Asia is projected to be one of the major nitrous oxide (N2O) sources in the coming decades, a more accurate assessment of N2O budget has been hampered by low data resolution and poorly constrained emission factor (EF). Since urbanized coastal reservoirs receive high nitrogen loads from diverse sources across a heterogeneous landscape, the use of a single fixed EF may lead to large errors in N2O assessment. In this study, we conducted high spatial resolution sampling of dissolved N2O, nitrate-nitrogen (NO3--N) and other physico-chemical properties of surface water in Wenwusha Reservoir and other types of water bodies (river, drainage channels, and aquaculture ponds) in its catchment areas in southeastern China between November 2018 and June 2019. The empirically derived EF (calculated as N2O-N:NO3--N) for the reservoir showed considerable spatial variations, with a 10-fold difference ranging from 0.8 × 10-3 to 8.8 × 10-3. The average EF varied significantly among the four types of water bodies in the following descending order: aquaculture ponds > river > drainage channels > reservoir. Across all the water bodies, the mean EF in summer was 1.8-3.5 and 1.7-2.8 fold higher than that in autumn and spring, respectively, owing to the elevated water temperature. Overall, our derived EF deviated considerably from the IPCC default value, which implied that the use of default EF could result in over- or under-estimation of N2O emissions by up to 42%. We developed a multiple regression model that could explain 82% of the variance in EF based on water temperature and the ratio between dissolved organic carbon and nitrate-nitrogen (p < 0.001), which could be used to improve the estimate of EF for assessing N2O emission from coastal reservoirs and other similar environments.
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Affiliation(s)
- Ping Yang
- School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, PR China; Key Laboratory of Humid Subtropical Eco-geographical Process of Ministry of Education, Fujian Normal University, Fuzhou, 350007, PR China.
| | - Liangjuan Luo
- School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, PR China; Key Laboratory of Humid Subtropical Eco-geographical Process of Ministry of Education, Fujian Normal University, Fuzhou, 350007, PR China
| | - Kam W Tang
- Department of Biosciences, Swansea University, Swansea SA2 8PP, UK
| | - Derrick Y F Lai
- Department of Geography and Resource Management, The Chinese University of Hong Kong, Hong Kong, China
| | - Chuan Tong
- School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, PR China; Key Laboratory of Humid Subtropical Eco-geographical Process of Ministry of Education, Fujian Normal University, Fuzhou, 350007, PR China
| | - Yan Hong
- School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, PR China
| | - Linhai Zhang
- School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, PR China; Key Laboratory of Humid Subtropical Eco-geographical Process of Ministry of Education, Fujian Normal University, Fuzhou, 350007, PR China
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18
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Zhan Y, Xie J, Yao Z, Wang R, He X, Wang Y, Zheng X. Characteristics of annual N 2O and NO fluxes from Chinese urban turfgrasses. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2021; 290:118017. [PMID: 34438167 DOI: 10.1016/j.envpol.2021.118017] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Revised: 08/16/2021] [Accepted: 08/19/2021] [Indexed: 06/13/2023]
Abstract
Urban turfgrass ecosystems are expected to increase at unprecedented rates in upcoming decades, due to the increasing population density and urban sprawl worldwide. However, so far urban turfgrasses are among the least understood of all terrestrial ecosystems concerning their impact on biogeochemical N cycling and associated nitrous oxide (N2O) and nitric oxide (NO) fluxes. In this study, we aimed to characterize and quantify annual N2O and NO fluxes from urban turfgrasses dominated by either C4, warm-season species or C3, cool-season and shade-enduring species, based on year-round field measurements in Beijing, China. Our results showed that soil N2O and NO fluxes varied substantially within the studied year, characterizing by higher emissions during the growing season and lower fluxes during the non-growing season. The regression model fitted by soil temperature and soil water content explained approximately 50%-70% and 31%-38% of the variance in N2O and NO fluxes, respectively. Annual cumulative emissions for all urban turfgrasses ranged from 0.75 to 1.27 kg N ha-1 yr-1 for N2O and from 0.30 to 0.46 kg N ha-1 yr-1 for NO, both are generally higher than those of Chinese natural grasslands. Non-growing season fluxes contributed 17%-37% and 23%-30% to the annual budgets of N2O and NO, respectively. Our results also showed that compared to the cool-season turfgrass, annual N2O and NO emissions were greatly reduced by the warm-season turfgrass, with the high root system limiting the availability of inorganic N substrates to soil microbial processes of nitrification and denitrification. This study indicates the importance of enhanced N retention of urban turfgrasses through the management of effective species for alleviating the potential environmental impacts of these rapidly expanding ecosystems.
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Affiliation(s)
- Yang Zhan
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, PR China; College of Earth Science, University of Chinese Academy of Sciences, Beijing, 100049, PR China
| | - Junfei Xie
- Beijing Institute of Landscape Architecture, Beijing, 100102, PR China
| | - Zhisheng Yao
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, PR China.
| | - Rui Wang
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, PR China
| | - Xingjia He
- Northeast Agricultural University, Harbin, 150038, PR China
| | - Yan Wang
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, PR China; College of Earth Science, University of Chinese Academy of Sciences, Beijing, 100049, PR China
| | - Xunhua Zheng
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, PR China; College of Earth Science, University of Chinese Academy of Sciences, Beijing, 100049, PR China
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19
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Yang P, Lu M, Tang KW, Yang H, Lai DYF, Tong C, Chun KP, Zhang L, Tang C. Coastal reservoirs as a source of nitrous oxide: Spatio-temporal patterns and assessment strategy. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 790:147878. [PMID: 34090167 DOI: 10.1016/j.scitotenv.2021.147878] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Revised: 05/14/2021] [Accepted: 05/14/2021] [Indexed: 06/12/2023]
Abstract
Coastal reservoirs are widely regarded as a viable solution to the water scarcity problem faced by coastal cities with growing populations. As a result of the accumulation of anthropogenic wastes and the alteration of hydroecological processes, these reservoirs may also become the emission hotspots of nitrous oxide (N2O). Hitherto, accurate global assessment of N2O emission suffers from the scarcity and low spatio-temporal resolution of field data, especially from small coastal reservoirs with high spatial heterogeneity and multiple water sources. In this study, we measured the surface water N2O concentrations and emissions at a high spatial resolution across three seasons in a subtropical coastal reservoir in southeastern China, which was hydrochemically highly heterogeneous because of the combined influence of river runoff, aquacultural discharge, industrial discharge and municipal sewage. Both N2O concentration and emission exhibited strong spatio-temporal variations, which were correlated with nitrogen loading from the river and wastewater discharge. The mean N2O concentration and emission were found to be significantly higher in the summer than in spring and autumn. The results of redundancy analysis showed that NH4+-N explained the greatest variance in N2O emission, which implied that nitrification was the main microbial pathway for N2O production in spite of the potentially increasing importance of denitrification of NO3--N in the summer. The mean N2O emission across the whole reservoir was 107 μg m-2 h-1, which was more than an order of magnitude higher than that from global lakes and reservoirs. Based on our results of Monte Carlo simulations, a minimum of 15 sampling points per km2 would be needed to produce representative and reliable N2O estimates in such a spatially heterogeneous aquatic system. Overall, coastal reservoirs could play an increasingly important role in future climate change via their N2O emission to the atmosphere as water demand and anthropogenic pressure continue to rise.
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Affiliation(s)
- Ping Yang
- Key Laboratory of Humid Subtropical Eco-geographical Process of Ministry of Education, Fujian Normal University, Fuzhou 350007, China; School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China
| | - Miaohui Lu
- Key Laboratory of Humid Subtropical Eco-geographical Process of Ministry of Education, Fujian Normal University, Fuzhou 350007, China; School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China
| | - Kam W Tang
- Department of Biosciences, Swansea University, Swansea SA2 8PP, UK
| | - Hong Yang
- College of Environmental Science and Engineering, Fujian Normal University, Fuzhou 350007, China; Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control (AEMPC), School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, 219 Ningliu Road, Nanjing 210044, China; Department of Geography and Environmental Science, University of Reading, Reading RG6 6AB, UK
| | - Derrick Y F Lai
- Department of Geography and Resource Management, The Chinese University of Hong Kong, Hong Kong, China
| | - Chuan Tong
- Key Laboratory of Humid Subtropical Eco-geographical Process of Ministry of Education, Fujian Normal University, Fuzhou 350007, China; School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China.
| | - Kwok Pan Chun
- Department of Geography, Hong Kong Baptist University, Hong Kong, China
| | - Linhai Zhang
- Key Laboratory of Humid Subtropical Eco-geographical Process of Ministry of Education, Fujian Normal University, Fuzhou 350007, China; School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China
| | - Chen Tang
- School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China
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20
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Zhang W, Li H, Pueppke SG, Pang J. Restored riverine wetlands in a headwater stream can simultaneously behave as sinks of N 2O and hotspots of CH 4 production. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2021; 284:117114. [PMID: 33878662 DOI: 10.1016/j.envpol.2021.117114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Revised: 04/05/2021] [Accepted: 04/07/2021] [Indexed: 06/12/2023]
Abstract
Wetlands can improve water quality, but they are also recognized as important sources of greenhouse gases (GHG) such as nitrous oxide (N2O) and methane (CH4). Emissions of these gases from wetland ecosystems, especially those in headwaters, are poorly understood. Here, we determined monthly concentrations of dissolved N2O and CH4 in a headwater stream of the Taihu Lake basin of China that contains both wetland and non-wetland reaches. Daily GHG dynamics in the wetland reach were also investigated. Riverine N2O and CH4 concentrations generally varied within 10-30 nmol L-1 and 0.1-1.5 μmol L-1, respectively. CH4 saturation levels in the wetland reach were about seven times higher than those in the non-wetland reach, but there was no difference in N2O saturation. In the wetland reach, saturation levels of CH4 peaked in July, coincident with a dip in N2O saturation to levels below its saturated solubility. This underscores that hotspots of CH4 production and sinks for N2O can occur occasionally in wetlands in mid-summer, when vegetative growth and microbial activities are high. Diurnal measurements indicated that CH4 saturation in water flows passing through the wetlands from midnight through the early morning can surge to levels 10 times higher than those detected at other times of the day. Simultaneously, saturation levels of N2O decreased by 75%, indicating a net consumption of N2O. Changes in nutrient supply determined by upstream inflows, as well as dissolved oxygen, pH, and other environmental factors mediated by the wetlands, correlate with the differentiated behavior of N2O and CH4 production in wetlands. Additional work will be necessary to confirm the roles of these factors in regulating GHG emissions in riverine wetlands.
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Affiliation(s)
- Wangshou Zhang
- Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 210008, China.
| | - Hengpeng Li
- Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 210008, China.
| | - Steven G Pueppke
- Asia Hub, Nanjing Agricultural University, Nanjing, 210095, China; Center for Global Change and Earth Observations, Michigan State University, East Lansing, MI, 48823, USA
| | - Jiaping Pang
- Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 210008, China.
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21
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Jiang W, Huang W, Liang H, Wu Y, Shi X, Fu J, Wang Q, Hu K, Chen L, Liu H, Zhou F. Is rice field a nitrogen source or sink for the environment? ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2021; 283:117122. [PMID: 33872939 DOI: 10.1016/j.envpol.2021.117122] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Revised: 03/29/2021] [Accepted: 04/07/2021] [Indexed: 05/15/2023]
Abstract
Rice field has been traditionally considered as a nonpoint source of reactive nitrogen (N) for the environment, while it, with surrounding ditches and ponds, also contributes to receiving N inputs from atmosphere and waterbodies and intercepting N outputs from rice field. However, a comprehensive assessment of the N source or sink of rice field for the environment is lacking. Here, we conducted the 3-year systematic observations and process-based simulations of N budget at the Jingzhou site in Central China. We identified the roles of rice field and evaluated the opportunities for shifting its role from N source (i.e., outputs > inputs) to sink (i.e., outputs ≤ inputs). Rice field was found to be a N source of 24.2-28.7 kg N ha-1 for waterbodies (including surface and ground waters), but a N sink (2.2-8.8 kg N ha-1) for the atmosphere for the wet and normal year climatic scenarios. The "4R-nutrient stewardship" (i.e., using the right type of N fertilizers, at right rate, right time, and in right place) applied in rice field was sufficient for the source-to-sink shift for the atmosphere for dry year climatic scenario, but needed to implement together with improvements of irrigation and drainage for waterbodies. Furthermore, with the combination of these improved management technologies, rice field played a role as a N sink of up to 22.8 kg N ha-1 for the atmosphere and up to 2.0 kg N ha-1 for waterbodies, along with 24% decrease in irrigation water use and 21% decrease in N application rate without affecting rice yield and soil fertility. Together these findings highlight a possibility to achieve an environmental-friendly rice field by improving agricultural management technologies.
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Affiliation(s)
- Wenjun Jiang
- Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, PR China
| | - Weichen Huang
- Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, PR China
| | - Hao Liang
- College of Agricultural Science and Engineering, Hohai University, Nanjing, Jiangsu, 210098, PR China
| | - Yali Wu
- National Engineering Laboratory for Lake Pollution Control and Ecological Restoration, Chinese Research Academy of Environmental Sciences, Institute of Lake Ecological Environment, Beijing, 100012, PR China
| | - Xinrui Shi
- College of Land Science and Technology, China Agricultural University, Key Laboratory of Arable Land Conservation (North China), Ministry of Agriculture, Beijing, 100193, PR China
| | - Jin Fu
- Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, PR China
| | - Qihui Wang
- Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, PR China
| | - Kelin Hu
- College of Land Science and Technology, China Agricultural University, Key Laboratory of Arable Land Conservation (North China), Ministry of Agriculture, Beijing, 100193, PR China
| | - Lei Chen
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing, 100875, PR China
| | - Hongbin Liu
- Key Laboratory of Nonpoint Source Pollution Control, Ministry of Agriculture, Beijing, 100081, PR China
| | - Feng Zhou
- Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, PR China.
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22
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Mander Ü, Tournebize J, Espenberg M, Chaumont C, Torga R, Garnier J, Muhel M, Maddison M, Lebrun JD, Uher E, Remm K, Pärn J, Soosaar K. High denitrification potential but low nitrous oxide emission in a constructed wetland treating nitrate-polluted agricultural run-off. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 779:146614. [PMID: 34030255 DOI: 10.1016/j.scitotenv.2021.146614] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Revised: 03/12/2021] [Accepted: 03/16/2021] [Indexed: 06/12/2023]
Abstract
Constructed wetlands (CW) can efficiently remove nitrogen from polluted agricultural run-off, however, a potential caveat is nitrous oxide (N2O), a harmful greenhouse gas and stratospheric ozone depleter. During five sampling campaigns, we measured N2O fluxes from a 0.53 ha off-stream CW treating nitrate-rich water from the intensively fertilized watershed in Rampillon, France, using automated chambers with a quantum cascade laser system, and manual chambers. Sediment samples were analysed for potential N2 flux using the HeO2 incubation method. Both inlet nitrate (NO3-) concentrations and N2O emission varied significantly between the seasons. In the Autumn and Winter inlet concentrations were about 11 mg NO3--N L-1, and < 6.5 mg NO3--N L-1 in the Spring and Summer. N2O emission was highest in the Autumn (mean ± standard error: 9.7 ± 0.2 μg N m-2 h-1) and lowest in the Summer (wet period: 0.2 ± 0.3 μg N m-2 h-1). The CW was a very weak source of N2O emitting 0.32 kg N2O-N ha-1 yr-1 and removing around 938 kg NO3--N ha-1 yr-1, the ratio of N2O-N emitted to NO3--N removed was 0.033%. The automated and manual chambers gave similar results. From the potential N2O formation in the sediment, only 9% was emitted to the atmosphere, the average N2 N 2O ratio was high: 89:1 for N2-Npotential: N2O-Npotential and 1353:1 for N2-Npotential: N2O-Nemitted. These results indicate complete denitrification. The focused principal component analysis showed strong positive correlation between the gaseous N2O fluxes and the following environmental factors: NO3--N concentrations in inlet water, streamflow, and nitrate reduction rate. Water temperature, TOC and DOC in the water and hydraulic residence time showed negative correlations with N2O emissions. Shallow off-stream CWs such as Rampillon may have good nitrate removal capacity with low N2O emissions.
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Affiliation(s)
- Ülo Mander
- Department of Geography, Institute of Ecology and Earth Sciences, University of Tartu, Tartu, Estonia; UR 1462 HYCAR, University Paris Saclay, French National Institute for Agriculture, Food, and Environment (INRAE), Antony, France.
| | - Julien Tournebize
- UR 1462 HYCAR, University Paris Saclay, French National Institute for Agriculture, Food, and Environment (INRAE), Antony, France
| | - Mikk Espenberg
- Department of Geography, Institute of Ecology and Earth Sciences, University of Tartu, Tartu, Estonia
| | - Cedric Chaumont
- UR 1462 HYCAR, University Paris Saclay, French National Institute for Agriculture, Food, and Environment (INRAE), Antony, France
| | - Raili Torga
- Department of Geography, Institute of Ecology and Earth Sciences, University of Tartu, Tartu, Estonia
| | | | - Mart Muhel
- Department of Geography, Institute of Ecology and Earth Sciences, University of Tartu, Tartu, Estonia
| | - Martin Maddison
- Department of Geography, Institute of Ecology and Earth Sciences, University of Tartu, Tartu, Estonia
| | - Jérémie D Lebrun
- UR 1462 HYCAR, University Paris Saclay, French National Institute for Agriculture, Food, and Environment (INRAE), Antony, France
| | - Emmanuelle Uher
- UR 1462 HYCAR, University Paris Saclay, French National Institute for Agriculture, Food, and Environment (INRAE), Antony, France
| | - Kalle Remm
- Department of Geography, Institute of Ecology and Earth Sciences, University of Tartu, Tartu, Estonia
| | - Jaan Pärn
- Department of Geography, Institute of Ecology and Earth Sciences, University of Tartu, Tartu, Estonia
| | - Kaido Soosaar
- Department of Geography, Institute of Ecology and Earth Sciences, University of Tartu, Tartu, Estonia
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23
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Yang P, Huang J, Tan L, Tong C, Jin B, Hu B, Gao C, Yuan J, Lai DYF, Yang H. Large variations in indirect N 2O emission factors (EF 5) from coastal aquaculture systems in China from plot to regional scales. WATER RESEARCH 2021; 200:117208. [PMID: 34048983 DOI: 10.1016/j.watres.2021.117208] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Revised: 04/01/2021] [Accepted: 04/26/2021] [Indexed: 06/12/2023]
Abstract
Aquaculture ponds are important anthropogenic sources of nitrous oxide (N2O). Direct N2O emissions arising from feed application to ponds have been widely investigated, but indirect emissions from N2O production from residual feeds in pond water are much less understood and characterized to refine the IPCC emission factor. In this study, we determined the concentrations and spatiotemporal variations of dissolved N2O and NO3--N in situ in three aquaculture ponds at the Min River Estuary in southeastern China during the culture period over two years, and calculated the indirect N2O emission factor (EF5) for aquaculture ponds using the N2O-N/NO3--N mass ratio methodology. Our results indicated that the EF5 values in the ponds over the culture period ranged between 0.0007 and 0.0543, with a clear seasonal pattern which closely followed that of the DOC:NO3-N ratio. We also observed significant spatial variations in EF5 among the three ponds, which could be attributed to the difference in feed conversion rate. In addition, we assessed the EF5 values from aquaculture ponds in five regions of the Chinese coastline across the latitudinal gradient from the tropical to the temperate zones. The average EF5 value from aquaculture ponds across the five coastal regions was 0.0093±0.0024, which was approximately 3.7 times of the IPCC default value for rivers and estuaries (0.0025). Moreover, the EF5 values demonstrated considerable spatial variations across these coastal regions with a coefficient of variation of 59%, which were largely related to the difference in water salinity. Our findings filled a key knowledge gap about the indirect N2O emission factor from aquaculture ponds, and provided field evidence for the refinement of EF5 value currently adopted by IPCC in the national greenhouse gas inventory.
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Affiliation(s)
- Ping Yang
- Key Laboratory of Humid Subtropical Eco-geographical Process of Ministry of Education, Fujian Normal University, Fuzhou 350007, P.R. China; School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, P.R. China
| | - Jiafang Huang
- Key Laboratory of Humid Subtropical Eco-geographical Process of Ministry of Education, Fujian Normal University, Fuzhou 350007, P.R. China; School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, P.R. China
| | - Lishan Tan
- Key Laboratory of Humid Subtropical Eco-geographical Process of Ministry of Education, Fujian Normal University, Fuzhou 350007, P.R. China; School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, P.R. China; School of Geographical Sciences, East China Normal University, Shanghai 200241, P.R. China
| | - Chuan Tong
- Key Laboratory of Humid Subtropical Eco-geographical Process of Ministry of Education, Fujian Normal University, Fuzhou 350007, P.R. China; School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, P.R. China.
| | - Baoshi Jin
- School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, P.R. China; College of Resources and Environment Science, Anqing Normal University, Anqing, 246011, P.R. China
| | - Beibei Hu
- School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin 300387, P.R. China
| | - Changjun Gao
- Guangdong Academy of Forestry, Guangdong Provincial Key Laboratory of Silviculture, Protection and Utilization, Guangzhou 510520, P.R. China
| | - Junji Yuan
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, P.R. China
| | - Derrick Y F Lai
- Department of Geography and Resource Management, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, P.R. China.
| | - Hong Yang
- College of Environmental Science and Engineering, Fujian Normal University, Fuzhou 350007, P.R. China; Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control (AEMPC), School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, 219 Ningliu Road, Nanjing 210044, China; Department of Geography and Environmental Science, University of Reading, Whiteknights, Reading, RG6 6AB, UK.
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24
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Xiao Q, Hu Z, Hu C, Islam ARMT, Bian H, Chen S, Liu C, Lee X. A highly agricultural river network in Jurong Reservoir watershed as significant CO 2 and CH 4 sources. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 769:144558. [PMID: 33736232 DOI: 10.1016/j.scitotenv.2020.144558] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Revised: 11/09/2020] [Accepted: 12/13/2020] [Indexed: 06/12/2023]
Abstract
Freshwaters are receiving growing concerns on atmospheric carbon dioxide (CO2) and methane (CH4) budget; however, little is known about the anthropogenic sources of CO2 and CH4 from river network in agricultural-dominated watersheds. Here, we chose such a typical watershed and measured surface dissolved CO2 and CH4 concentrations over 2 years (2015-2017) in Jurong Reservoir watershed for different freshwater types (river network, ponds, reservoir, and ditches), which located in Eastern China and were impacted by agriculture with high fertilizer N application. Results showed that significantly higher gas concentrations occurred in river network (CO2: 112 ± 36 μmol L-1; CH4: 509 ± 341 nmol L-1) with high nutrient concentrations. Dissolved CO2 and CH4 concentrations were supersaturated in all of the freshwater types with peak saturation ratios generally occurring in river network. Temporal variations in the gas saturations were positively correlated with water temperature. The saturations of CO2 and CH4 were positively correlated with each other in river network, and both of these saturations were also positively correlated with nutrient loadings, and negatively correlated with dissolved oxygen concentration. The highly agricultural river network acted as significant CO2 and CH4 sources with estimated emission fluxes of 409 ± 369 mmol m-2 d-1 for CO2 and 1.6 ± 1.2 mmol m-2 d-1 for CH4, and made a disproportionately large, relative to the area, contribution to the total aquatic carbon emission of the watershed. Our results suggested the aquatic carbon emissions accounted for 6% of the watershed carbon budget, and fertilizer N and watersheds land use played a large role in the aquatic carbon emission.
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Affiliation(s)
- Qitao Xiao
- Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China
| | - Zhenghua Hu
- Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China.
| | - Cheng Hu
- College of Biology and the Environment, Joint Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China
| | - A R M Towfiqul Islam
- Department of Disaster Management, Begum Rokeya University, Rangpur 5400, Bangladesh
| | - Hang Bian
- Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China
| | - Shutao Chen
- Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China
| | - Chao Liu
- Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China
| | - Xuhui Lee
- School of the Environment, Yale University, New Haven, CT 06511, USA
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25
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Yang P, Yang H, Sardans J, Tong C, Zhao G, Peñuelas J, Li L, Zhang Y, Tan L, Chun KP, Lai DYF. Large Spatial Variations in Diffusive CH 4 Fluxes from a Subtropical Coastal Reservoir Affected by Sewage Discharge in Southeast China. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2020; 54:14192-14203. [PMID: 33118825 DOI: 10.1021/acs.est.0c03431] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Coastal reservoirs are potentially CH4 emission hotspots owing to their biogeochemical role as the sinks of anthropogenic carbon and nutrients. Yet, the fine-scale spatial variations in CH4 concentrations and fluxes in coastal reservoirs remain poorly understood, hampering an accurate determination of reservoir CH4 budgets. In this study, we examined the spatial variability of diffusive CH4 fluxes and their drivers at a subtropical coastal reservoir in southeast China using high spatial resolution measurements of dissolved CH4 concentrations and physicochemical properties of the surface water. Overall, this reservoir acted as a consistent source of atmospheric CH4, with a mean diffusive flux of 16.1 μmol m-2 h-1. The diffusive CH4 flux at the reservoir demonstrated considerable spatial variations, with the coefficients of variation ranging between 199 and 426% over the three seasons. The shallow water zone (comprising 23% of the reservoir area) had a disproportionately high contribution (56%) to the whole-reservoir diffusive CH4 emissions. Moreover, the mean CH4 flux in the sewage-affected sectors was significantly higher than that in the nonsewage-affected sectors. The results of bootstrap analysis further showed that increasing the sample size from 10 to 100 significantly reduced the relative standard deviation of mean diffusive CH4 flux from 73.7 to 3.4%. Our findings highlighted the role of sewage in governing the spatial variations in reservoir CH4 emissions and the importance of high spatial resolution data to improve the reliability of flux estimates for assessing the contribution of reservoirs to the regional and global CH4 budgets.
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Affiliation(s)
- Ping Yang
- Key Laboratory of Humid Subtropical Eco-geographical Process of Ministry of Education, Fujian Normal University, Fuzhou 350007, China
- School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China
| | - Hong Yang
- College of Environmental Science and Engineering, Fujian Normal University, Fuzhou 350007, China
- Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control (AEMPC), School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China
- Department of Geography and Environmental Science, University of Reading, Reading RG6 6AB U.K
| | - Jordi Sardans
- CSIC, Global Ecology Unit CREAF-CSIC-UAB, Bellaterra, Catalonia 08193, Spain
- CREAF, Cerdanyola del Vallès, Catalonia 08193, Spain
| | - Chuan Tong
- Key Laboratory of Humid Subtropical Eco-geographical Process of Ministry of Education, Fujian Normal University, Fuzhou 350007, China
- School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China
| | - Guanghui Zhao
- School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China
| | - Josep Peñuelas
- CSIC, Global Ecology Unit CREAF-CSIC-UAB, Bellaterra, Catalonia 08193, Spain
- CREAF, Cerdanyola del Vallès, Catalonia 08193, Spain
| | - Ling Li
- School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China
| | - Yifei Zhang
- School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China
| | - Lishan Tan
- School of Geographical Sciences, East China Normal University, Shanghai 200241, China
| | - Kwok Pan Chun
- Department of Geography, Hong Kong Baptist University, Hong Kong, China
| | - Derrick Y F Lai
- Department of Geography and Resource Management, The Chinese University of Hong Kong, Hong Kong, China
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26
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Zhang W, Li H, Xiao Q, Jiang S, Li X. Surface nitrous oxide (N 2O) concentrations and fluxes from different rivers draining contrasting landscapes: Spatio-temporal variability, controls, and implications based on IPCC emission factor. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2020; 263:114457. [PMID: 32247923 DOI: 10.1016/j.envpol.2020.114457] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/28/2020] [Revised: 03/20/2020] [Accepted: 03/23/2020] [Indexed: 06/11/2023]
Abstract
Increasing indirect nitrous oxide (N2O) emission from river networks as a result of enhanced human activities on landscapes has become a global issue, as N2O has been widely recognized as an important ozone-depleting greenhouse gas. However, indirect N2O emissions from different rivers, particularly for those that drain completely different landscapes, are poorly understood. Here, we investigated the spatial-temporal variability of N2O emissions among the different rivers in the Chaohu Lake Basin of Eastern China. Our results showed that river reaches in urban watersheds are the hotspots of N2O production, with a mean N2O concentration of ∼410 nmol L-1, which is 9-18 times greater than those mainly draining forested (23 nmol L-1), agricultural (42 nmol L-1) and mixed (45 nmol L-1) landscapes. Riverine dissolved N2O was generally supersaturated with respect to the atmosphere. Such N2O saturation can best be explained by nitrogen availability, except for those in the forested watersheds, where dissolved oxygen is thought to be the primary predictor. The estimated N2O fluxes in urban rivers reached ∼471 μmol m-2 d-1, a value of ∼22, 13, and 11 times that in forested, agricultural and mixed watersheds, respectively. Averaged riverine N2O emission factors (EF5r) of the forested, agricultural, urban and mixed watersheds were 0.066%, 0.12%, 0.95% and 0.16%, respectively, showing different deviations from the default EF5r that released by IPCC in 2019. This points to a need for more field measurements with wider spatial coverage and finer frequency to further refine the EF5r and to better reveal the mechanisms behind indirect N2O emissions as influenced by watershed landscapes.
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Affiliation(s)
- Wangshou Zhang
- Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China.
| | - Hengpeng Li
- Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China.
| | - Qitao Xiao
- Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China
| | - Sanyuan Jiang
- Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China
| | - Xinyan Li
- Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China
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27
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Xiao Q, Duan H, Qi T, Hu Z, Liu S, Zhang M, Lee X. Environmental investments decreased partial pressure of CO 2 in a small eutrophic urban lake: Evidence from long-term measurements. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2020; 263:114433. [PMID: 32222621 DOI: 10.1016/j.envpol.2020.114433] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2019] [Revised: 03/17/2020] [Accepted: 03/19/2020] [Indexed: 06/10/2023]
Abstract
Inland waters emit large amounts of carbon dioxide (CO2) to the atmosphere, but emissions from urban lakes are poorly understood. This study investigated seasonal and interannual variations in the partial pressure of CO2 (pCO2) and CO2 flux from Lake Wuli, a small eutrophic urban lake in the heart of the Yangtze River Delta, China, based on a long-term (2000-2015) dataset. The results showed that the annual mean pCO2 was 1030 ± 281 μatm (mean ± standard deviation) with a mean CO2 flux of 1.1 ± 0.6 g m-2 d-1 during 2000-2015, suggesting that compared with other lakes globally, Lake Wuli was a significant source of atmospheric CO2. Substantial interannual variability was observed, and the annual pCO2 exhibited a decreasing trend due to improvements in water quality driven by environmental investment. Changes in ammonia nitrogen and total phosphorus concentrations together explained 90% of the observed interannual variability in pCO2 (R2 = 0.90, p < 0.01). The lake was dominated by cyanobacterial blooms and showed nonseasonal variation in pCO2. This finding was different from those of other eutrophic lakes with seasonal variation in pCO2, mostly because the uptake of CO2 by algal-derived primary production was counterbalanced by the production of CO2 by algal-derived organic carbon decomposition. Our results suggested that anthropogenic activities strongly affect lake CO2 dynamics and that environmental investments, such as ecological restoration and reducing nutrient discharge, can significantly reduce CO2 emissions from inland lakes. This study provides valuable information on the reduction in carbon emissions from artificially controlled eutrophic lakes and an assessment of the impact of inland water on the global carbon cycle.
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Affiliation(s)
- Qitao Xiao
- Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China
| | - Hongtao Duan
- Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China; College of Urban and Environmental Sciences, Northwest University, Xi'an 710127, China.
| | - Tianci Qi
- Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zhenghua Hu
- Yale-NUIST Center on Atmospheric Environment, International Joint Laboratory on Climate and Environment Change (ILCEC), Nanjing University of Information Science and Technology, Nanjing 210044, China
| | - Shoudong Liu
- Yale-NUIST Center on Atmospheric Environment, International Joint Laboratory on Climate and Environment Change (ILCEC), Nanjing University of Information Science and Technology, Nanjing 210044, China
| | - Mi Zhang
- Yale-NUIST Center on Atmospheric Environment, International Joint Laboratory on Climate and Environment Change (ILCEC), Nanjing University of Information Science and Technology, Nanjing 210044, China
| | - Xuhui Lee
- School of Forestry and Environmental Studies, Yale University, New Haven, CT 06511, USA; Yale-NUIST Center on Atmospheric Environment, International Joint Laboratory on Climate and Environment Change (ILCEC), Nanjing University of Information Science and Technology, Nanjing 210044, China
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28
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Guo F, Liu Y, Hu J, Liu H, Hu Y. Screening of Porous Materials for Toxic Gas Adsorption: Classical Density Functional Approach. Ind Eng Chem Res 2020. [DOI: 10.1021/acs.iecr.0c02659] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Fangyuan Guo
- State Key Laboratory of Chemical Engineering and School of Chemistry & Molecular Engineering, East China University of Science and Technology, Shanghai 200237, China
- China Salt Jintan Co. Ltd, 129 Bei Huan East Road, Jintan City, Jiangsu Province 213200, China
| | - Yu Liu
- School of Chemical Engineering and Technology, Sun Yat-sen University, Zhuhai 519082, China
| | - Jun Hu
- State Key Laboratory of Chemical Engineering and School of Chemistry & Molecular Engineering, East China University of Science and Technology, Shanghai 200237, China
| | - Honglai Liu
- State Key Laboratory of Chemical Engineering and School of Chemistry & Molecular Engineering, East China University of Science and Technology, Shanghai 200237, China
| | - Ying Hu
- State Key Laboratory of Chemical Engineering and School of Chemistry & Molecular Engineering, East China University of Science and Technology, Shanghai 200237, China
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