State Key Laboratory of Climate System Prediction and Risk Management, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China
Yi Zhou
School of Management Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China
Li Fang
State Key Laboratory of Climate System Prediction and Risk Management, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China
Yingfei Qi
College of Geography and Remote Sensing, Hohai University, Nanjing, Jiangsu, China
Dehao Li
State Key Laboratory of Climate System Prediction and Risk Management, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China
Hong Liao
State Key Laboratory of Climate System Prediction and Risk Management, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China
State Key Laboratory of Climate System Prediction and Risk Management, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China
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1,903
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2,338
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PDF: 345
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Supplement: 265
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Cumulative views and downloads
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Total article views: 1,987 (including HTML, PDF, and XML)
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1,632
288
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1,987
232
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PDF: 288
XML: 67
Total: 1,987
Supplement: 232
BibTeX: 55
EndNote: 63
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Total article views: 351 (including HTML, PDF, and XML)
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271
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351
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HTML: 271
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Total: 351
Supplement: 33
BibTeX: 14
EndNote: 33
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Total article views: 2,338 (including HTML, PDF, and XML)
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Total article views: 1,987 (including HTML, PDF, and XML)
Thereof 1,971 with geography defined
and 16 with unknown origin.
Total article views: 351 (including HTML, PDF, and XML)
Thereof 351 with geography defined
and 0 with unknown origin.
This study established an ammonia emission inventory for South Asia via an assimilation-based inversion system. The posterior emissions, calculated by integrating the anthropogenic inventory and satellite observations, showed significant improvement over the prior. Validation against various measurements supports our results. The study offers a deep understanding of ammonia emissions for policymakers and researchers aiming to develop air quality management and mitigation strategies for South Asia.
This study established an ammonia emission inventory for South Asia via an assimilation-based...