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Wu X, Zhang Y, Han Y, Zhang Y, Zhang Y, Cheng X, Zhong P, Yuan X, Zhang Y, Li Z. Advances in methane emissions from agricultural sources: Part I. Accounting and mitigation. J Environ Sci (China) 2024; 140:279-291. [PMID: 38331508 DOI: 10.1016/j.jes.2023.08.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 08/27/2023] [Accepted: 08/27/2023] [Indexed: 02/10/2024]
Abstract
Methane is one of the major greenhouse gases (GHGs) and agriculture is recognized as its primary emitter. Methane accounting is a prerequisite for developing effective agriculture mitigation strategies. In this review, methane accounting methods and research status for various agricultural emission source including rice fields, animal enteric fermentation and livestock and poultry manure management were overview, and the influencing factors of each emission source were analyzed and discussed. At the same time, it analyzes the different research efforts involving agricultural methane accounting and makes recommendations based on the actual situation. Finally, mitigation strategies based on accounting results and actual situation are proposed. This review aims to provide basic data and reference for agriculture-oriented countries and regions to actively participate in climate action and carry out effective methane emission mitigation.
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Affiliation(s)
- Xiaokun Wu
- State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China; Hebei Key Laboratory of Physics and Energy Technology, North China Electric Power University, Baoding 071003, China
| | - Ying Zhang
- State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China; Hebei Key Laboratory of Physics and Energy Technology, North China Electric Power University, Baoding 071003, China
| | - Yinghui Han
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 101408, China.
| | - Yagang Zhang
- State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China; Hebei Key Laboratory of Physics and Energy Technology, North China Electric Power University, Baoding 071003, China; Interdisciplinary Mathematics Institute, University of South Carolina, Columbia, SC 29208, United States.
| | - Yuhang Zhang
- State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China; Hebei Key Laboratory of Physics and Energy Technology, North China Electric Power University, Baoding 071003, China
| | - Xiaodan Cheng
- State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China; Hebei Key Laboratory of Physics and Energy Technology, North China Electric Power University, Baoding 071003, China
| | - Pei Zhong
- State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China; Hebei Key Laboratory of Physics and Energy Technology, North China Electric Power University, Baoding 071003, China
| | - Xue Yuan
- State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 101408, China
| | - Yuanxun Zhang
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 101408, China
| | - Zhengqiang Li
- Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
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Chen X, Zhao T, Xiao C, Guo X, Chen F. Isotopic characteristics and source analysis of atmospheric ammonia during agricultural periods in the Xichuan area of the Danjiangkou Reservoir. J Environ Sci (China) 2024; 136:460-469. [PMID: 37923456 DOI: 10.1016/j.jes.2022.10.041] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 10/25/2022] [Accepted: 10/26/2022] [Indexed: 11/07/2023]
Abstract
Nitrogen deposition is an important means of exogenous nitrogen input in reservoir water. Agricultural activities around the reservoir lead to a sharp increase in the concentration of ammonia in the atmosphere, which poses a threat to the reservoir water body. Clarifying the contribution of agricultural ammonia release to atmospheric NHx (gaseous NH3 and particulate NH4+), in the reservoir area can provide a theoretical foundation for local reactive nitrogen control. We collected atmospheric NH3 and NH4+ samples during the agricultural periods and analyzed the isotopic characteristics of atmospheric NHx and the contribution rates of different ammonia sources in the Xichuan area of the Danjiangkou Reservoir. The results showed that the initial δ15N values of NH3 (-30.0‰ to -7.2‰) and particulate NH4+(-33‰ to +4.9‰ for finer and coarser particles, respectively) are different, and their contribution ratios from dissimilar ammonia sources are also different, among which NH4+ is more susceptible to meteorological factors. However, since the atmospheric NHx in the Xichuan area is mainly gaseous NH3, the final sources of atmospheric ammonia nitrogen source depend on gaseous NH3. Agricultural sources (59%-74%) were the main NH3 sources in this area. Among them, the fertilizer use emission was dominant; it had the highest contribution rate in summer during the agricultural period and a more prominent impact in areas with less human interference. Reasonable regulation of the application of high-ammonia releasing fertilizer, especially during the agricultural period in summer, is an effective way to reduce the threat of atmospheric ammonia to water health.
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Affiliation(s)
- Xiaoshu Chen
- Institute of Resources and Environment, Henan Polytechnic University, Jiaozuo 454000, China
| | - Tongqian Zhao
- Institute of Resources and Environment, Henan Polytechnic University, Jiaozuo 454000, China.
| | - Chunyan Xiao
- Institute of Resources and Environment, Henan Polytechnic University, Jiaozuo 454000, China.
| | - Xiaoming Guo
- Institute of Resources and Environment, Henan Polytechnic University, Jiaozuo 454000, China
| | - Feihong Chen
- Institute of Resources and Environment, Henan Polytechnic University, Jiaozuo 454000, China
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Pereira JN, Mantovani VA, de Mello CR, Fornaro A, Vieira-Filho M. Nitrogen atmospheric deposition driven by seasonal processes in a Brazilian region with agricultural background. Environ Sci Pollut Res Int 2023; 30:37174-37184. [PMID: 36571691 DOI: 10.1007/s11356-022-24870-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Accepted: 12/15/2022] [Indexed: 06/17/2023]
Abstract
Understanding the seasonal patterns and influencing factors of nitrogen atmospheric deposition is essential to evaluate human impacts on the air quality and nitrogen biogeochemical cycle. However, evaluation of the nitrogen deposition flux, especially in South America agricultural regions, has not been fully investigated. In this paper, we quantified the atmospheric wet deposition fluxes of total dissolved nitrogen (TDN), dissolved organic nitrogen (DON), and dissolved inorganic nitrogen (DIN), in a region with agricultural and livestock predominance in the Southern Minas Gerais region, Brazil, from May 2018 to April 2019. Deposition fluxes of nitrogen species in the wet season (October-March) were on average 4.8-fold higher than those in the dry season, which revealed significant seasonal variations driven largely by the seasonality of rainfall and agricultural operations. We also found high NO3-/NH4+ ratios (average = 8.25), with higher values in dry season (NO3-/NH4+ = 12.8) in comparison with wet season (NO3-/NH4+ = 4.48), which revealed a higher relative contribution of NOx emissions from traffic sources in dry season. We also estimated the influence of atmospheric deposition of inorganic nitrogen (N-DIN) on environmental ecosystems, being 2.01 kgNha-1 year-1 with potential risk of acidification and eutrophication of 30%. Therefore, attention should be paid to the role of wet atmospheric deposition of nitrogen as a source of nitrogen environmental pollution in agricultural regions.
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Affiliation(s)
- Jaqueline Natiele Pereira
- Departamento de Engenharia Ambiental (DAM), Universidade Federal de Lavras (UFLA), Campus da UFLA, Lavras, Minas Gerais, 37200-000, Brazil
| | - Vanessa Alves Mantovani
- Departamento de Recursos Hídricos (DRH), Universidade Federal de Lavras (UFLA), Campus da UFLA, Lavras, Minas Gerais, 372000-000, Brazil
| | - Carlos Rogério de Mello
- Departamento de Recursos Hídricos (DRH), Universidade Federal de Lavras (UFLA), Campus da UFLA, Lavras, Minas Gerais, 372000-000, Brazil
| | - Adalgiza Fornaro
- Departamento de Ciências Atmosféricas (DCA), Instituto de Astronomia, Geofísica E Ciências Atmosféricas (IAG) da Universidade de São Paulo (USP), Rua Do Matão, Cidade Universitária, São Paulo, SP, 1226, 05508-090, Brazil
| | - Marcelo Vieira-Filho
- Departamento de Engenharia Ambiental (DAM), Universidade Federal de Lavras (UFLA), Campus da UFLA, Lavras, Minas Gerais, 37200-000, Brazil.
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Pereira JN, Fornaro A, Vieira-Filho M. Atmospheric deposition chemistry in a Brazilian rural area: alkaline species behavior and agricultural inputs. Environ Sci Pollut Res Int 2021; 28:23448-23458. [PMID: 33443734 DOI: 10.1007/s11356-020-12317-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Accepted: 12/30/2020] [Indexed: 06/12/2023]
Abstract
Since 2000s, several studies have been reporting an increase of alkaline species in atmospheric deposition worldwide. This study aims to evaluate and give a better understanding about atmospheric deposition chemistry collected in Lavras, a Brazilian city with rural background. Bulk atmospheric deposition samples were collected from March 2018 to February 2019 and major ionic species were quantified. The pH values ranged from 5.52 to 8.29, with an average of 5.92 and most deposition samples (~ 94%) were alkaline (pH > 5.60). For the whole sampling campaign, the ions profile in volume weighted mean (VWM) was described as follows: Ca2+ (35.02) > NH4+ (11.26) > Cl- (11.19) > Mg2+ (9.04) > NO3- (8.57) > Na+ (5.65) > K+ (2.61) > SO42- (2.43) > H+ (0.94) μmol L-1. We identified Ca2+ and NH4+ as the most predominant species accounting for 53% of the total ionic species distribution. In addition, all samples showed neutralization factor (NF) index greater than 1, with mean value of 6.4. Regarding regression analysis, acidity neutralization precursors such as calcium and ammonia accounted for 50% and 4%, respectively. In addition, samples alkaline pattern was mainly due to agricultural sources, including fertilizer production and application, and cement manufacturing inside the county air basin.
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Affiliation(s)
- Jaqueline Natiele Pereira
- Departamento de Engenharia Ambiental (DAM), Universidade Federal de Lavras (UFLA), Av. Sylvio Menicucci 1001, Campus da UFLA, Lavras, Minas Gerais, 37200-000, Brazil
| | - Adalgiza Fornaro
- Departamento de Ciências Atmosféricas, Instituto de Astronomia, Geofísica e Ciências (IAG), Atmosféricas da Universidade de São Paulo (USP), Rua do Matão, 1226, Cidade, Universitária, São Paulo, SP, 05508-090, Brazil
| | - Marcelo Vieira-Filho
- Departamento de Engenharia Ambiental (DAM), Universidade Federal de Lavras (UFLA), Av. Sylvio Menicucci 1001, Campus da UFLA, Lavras, Minas Gerais, 37200-000, Brazil.
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Li H, Ning A, Zhong J, Zhang H, Liu L, Zhang Y, Zhang X, Zeng XC, He H. Influence of atmospheric conditions on sulfuric acid-dimethylamine-ammonia-based new particle formation. Chemosphere 2020; 245:125554. [PMID: 31874321 DOI: 10.1016/j.chemosphere.2019.125554] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/17/2019] [Revised: 11/25/2019] [Accepted: 12/05/2019] [Indexed: 05/21/2023]
Abstract
A recent quantitative measurement of rates of new particle formation (NPF) in urban Shanghai showed that the high rates of NPF can be largely attributed to the sulfuric acid (SA)-dimethylamine (DMA) nucleation due to relatively high DMA concentration in urban atmosphere (Yao et al., Science. 2018, 361, 278). In certain atmospheric conditions, the release of DMA is accompanied with the emission of high concentration of ammonia. As a result, the ammonia (A) may participate in SA-DMA-based NPF. However, the main sources of DMA and A can be different, thereby leading to different mechanism for the SA-DMA-A-based nucleation under different atmospheric conditions. Near industrial sources with relatively high DMA concentration of 108 molecules cm-3, the contribution of binary SA-DMA nucleation to cluster formation is 61% at 278 K, representing a dominant pathway for NPF. However, in the region not too close to major source of DMA emission, e.g., near agriculture farmland, the routes involving ternary SA-DMA-A nucleation make a 64% contribution at 278 K with DMA concentration of 107 molecules cm-3, showing that A has marked impact on the cluster formation. Under such a condition, we predict that coexisting DMA and A could be detected in the process of NPF. Moreover, at winter temperatures or at higher altitudes, our calculations suggest that the clustering of initial clusters likely involve ternary SA-DMA-A clusters rather than binary SA-DMA clusters. These new insights may be helpful to analyze and predict atmospheric-condition-dependent NFP in either urban or rural regions and/or in different season of the year.
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Affiliation(s)
- Hao Li
- Key Laboratory of Cluster Science, Ministry of Education of China, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, 100081, PR China; State Key Joint Laboratory of Environment Simulation and Pollution Control, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China
| | - An Ning
- Key Laboratory of Cluster Science, Ministry of Education of China, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, 100081, PR China
| | - Jie Zhong
- Department of Chemistry, University of Nebraska-Lincoln, Lincoln, NE, 68588, USA; Department of Earth and Environmental Science and Department of Chemistry, University of Pennsylvania Philadelphia, PA, 19104-6316, USA
| | - Haijie Zhang
- Key Laboratory of Cluster Science, Ministry of Education of China, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, 100081, PR China
| | - Ling Liu
- Key Laboratory of Cluster Science, Ministry of Education of China, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, 100081, PR China
| | - Yunling Zhang
- Beiyuan Campus, Beijing Vocational College of Agriculture, Beijing, 100012, PR China
| | - Xiuhui Zhang
- Key Laboratory of Cluster Science, Ministry of Education of China, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, 100081, PR China.
| | - Xiao Cheng Zeng
- Department of Chemistry, University of Nebraska-Lincoln, Lincoln, NE, 68588, USA.
| | - Hong He
- State Key Joint Laboratory of Environment Simulation and Pollution Control, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China
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