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- Publisher Website: 10.1016/j.scitotenv.2024.176188
- Scopus: eid_2-s2.0-85204089946
- PMID: 39265679
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Article: Understanding the spatial patterns of atmospheric ammonia trends in South Asia
| Title | Understanding the spatial patterns of atmospheric ammonia trends in South Asia |
|---|---|
| Authors | |
| Keywords | Agriculture Air pollution Ammonia Remote sensing South Asia Trends |
| Issue Date | 1-Dec-2024 |
| Publisher | Elsevier |
| Citation | Science of the Total Environment, 2024, v. 954 How to Cite? |
| Abstract | Ammonia (NH3) is the most abundant alkaline gas in the atmosphere, mainly emitted by agricultural activities. NH3 readily reacts with other atmospheric acidic pollutants, such as the oxidation products of sulfur dioxide (SO2) and nitrogen oxides (NOₓ), to create fine particulate matter, which has far-reaching effects on human health and ecosystems. Here, we investigated long-term atmospheric NH3 trends in South Asia (SA) using satellite observations from the Infrared Atmospheric Sounding Interferometer (IASI). We analyzed 15 years (2008–2022) of IASI-NH3 retrievals against climate, biophysical, and chemical variables using an ensemble of multivariate statistical methods to identify the major factors driving the observed patterns in the region. Trend analysis of IASI-NH3 data reveals a significant rise in atmospheric NH3 over 51 % of SA plains, but a downward trend over 31 % of the region. Spatial correlation analysis reveals that biophysical factors, representing cropland expansion and agriculture intensification, have the highest positive correlation over 56 % of SA plains experiencing positive NH3 trends. However, our results reveal that the chemical conversion of NH3 to ammonium compounds, driven by the positive trends in NOₓ and SO2 pollution, is driving the apparently declining trend of NH3 in the other regions. Our results provide important insights into the NH3 trends detected by satellite data and can better inform the policy design aimed at reducing NH3 emissions and improving air quality for developing regions of the world. |
| Persistent Identifier | http://hdl.handle.net/10722/359225 |
| ISSN | 2023 Impact Factor: 8.2 2023 SCImago Journal Rankings: 1.998 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Ismaeel, Ali | - |
| dc.contributor.author | Tai, Amos P.K. | - |
| dc.contributor.author | Wu, Jin | - |
| dc.date.accessioned | 2025-08-26T00:30:15Z | - |
| dc.date.available | 2025-08-26T00:30:15Z | - |
| dc.date.issued | 2024-12-01 | - |
| dc.identifier.citation | Science of the Total Environment, 2024, v. 954 | - |
| dc.identifier.issn | 0048-9697 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/359225 | - |
| dc.description.abstract | <p>Ammonia (NH3) is the most abundant alkaline gas in the atmosphere, mainly emitted by agricultural activities. NH3 readily reacts with other atmospheric acidic pollutants, such as the oxidation products of sulfur dioxide (SO2) and nitrogen oxides (NOₓ), to create fine particulate matter, which has far-reaching effects on human health and ecosystems. Here, we investigated long-term atmospheric NH3 trends in South Asia (SA) using satellite observations from the Infrared Atmospheric Sounding Interferometer (IASI). We analyzed 15 years (2008–2022) of IASI-NH3 retrievals against climate, biophysical, and chemical variables using an ensemble of multivariate statistical methods to identify the major factors driving the observed patterns in the region. Trend analysis of IASI-NH3 data reveals a significant rise in atmospheric NH3 over 51 % of SA plains, but a downward trend over 31 % of the region. Spatial correlation analysis reveals that biophysical factors, representing cropland expansion and agriculture intensification, have the highest positive correlation over 56 % of SA plains experiencing positive NH3 trends. However, our results reveal that the chemical conversion of NH3 to ammonium compounds, driven by the positive trends in NOₓ and SO2 pollution, is driving the apparently declining trend of NH3 in the other regions. Our results provide important insights into the NH3 trends detected by satellite data and can better inform the policy design aimed at reducing NH3 emissions and improving air quality for developing regions of the world.</p> | - |
| dc.language | eng | - |
| dc.publisher | Elsevier | - |
| dc.relation.ispartof | Science of the Total Environment | - |
| dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
| dc.subject | Agriculture | - |
| dc.subject | Air pollution | - |
| dc.subject | Ammonia | - |
| dc.subject | Remote sensing | - |
| dc.subject | South Asia | - |
| dc.subject | Trends | - |
| dc.title | Understanding the spatial patterns of atmospheric ammonia trends in South Asia | - |
| dc.type | Article | - |
| dc.identifier.doi | 10.1016/j.scitotenv.2024.176188 | - |
| dc.identifier.pmid | 39265679 | - |
| dc.identifier.scopus | eid_2-s2.0-85204089946 | - |
| dc.identifier.volume | 954 | - |
| dc.identifier.eissn | 1879-1026 | - |
| dc.identifier.issnl | 0048-9697 | - |
