Quantification and evaluation of atmospheric ammonia emissions with different methods: a case study for the Yangtze River Delta region, China

Zhao, Yu; Yuan, Mengchen; Huang, Xin; Chen, Feng; Zhang, Jie

doi:https://doi.org/10.5194/acp-20-4275-2020

Articles | Volume 20, issue 7

https://doi.org/10.5194/acp-20-4275-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Regional assessment of air pollution and climate change over...

https://doi.org/10.5194/acp-20-4275-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 20, issue 7

Research article

|

09 Apr 2020

Research article |

| 09 Apr 2020

Quantification and evaluation of atmospheric ammonia emissions with different methods: a case study for the Yangtze River Delta region, China

Yu Zhao, Mengchen Yuan, Xin Huang, Feng Chen, and Jie Zhang

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Final revised paper (published on 09 Apr 2020)
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Preprint (discussion started on 12 Nov 2019)
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Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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RC1: 'Review', Anonymous Referee #2, 20 Dec 2019
- AC1: 'Main revisions and response to reviewer #2 comments', Yu Zhao, 28 Feb 2020
RC2: 'Review', Anonymous Referee #3, 20 Jan 2020
- AC2: 'Main revisions and response to reviewer #3 comments', Yu Zhao, 28 Feb 2020

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Yu Zhao on behalf of the Authors (28 Feb 2020) Author's response

ED: Publish as is (11 Mar 2020) by Joshua Fu

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Short summary

We estimated the ammonia emissions based on the constant emission factors and those characterizing the agricultural processes for the Yangtze River Delta, China. The discrepancies between the two estimates and their causes were analyzed. Based on ground and satellite observations, the two estimates were evaluated with air quality modeling. This work indicates ways to improve the emission estimation and helps better understand the necessity of multi-pollutant control strategy.