Contribution of dust emissions from farmland to particulate matter concentrations in North China Plain: Integration of WRF-Chem and WEPS model
Wind erosion from farmland is a significant contributor to atmospheric particulate matter, particularly PM10 (atmospheric particulate matter with an aerodynamic diameter ≤ 10 μm), in regions with intensive agricultural activities such as the North China Plain (NCP). However, the specific impact of f...
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| Language: | English |
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Elsevier
2025-01-01
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| Series: | Environment International |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S0160412024007773 |
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| author | Haopeng Zhang Feng Wang Shenghui Zhou Tianning Zhang Minghui Qi Hongquan Song |
| author_facet | Haopeng Zhang Feng Wang Shenghui Zhou Tianning Zhang Minghui Qi Hongquan Song |
| author_sort | Haopeng Zhang |
| collection | DOAJ |
| description | Wind erosion from farmland is a significant contributor to atmospheric particulate matter, particularly PM10 (atmospheric particulate matter with an aerodynamic diameter ≤ 10 μm), in regions with intensive agricultural activities such as the North China Plain (NCP). However, the specific impact of farmland dust emissions on regional air quality remains underexplored. This study integrated the Wind Erosion Prediction System (WEPS) model with the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem) to investigate the effect of agricultural dust emissions on PM10 concentrations in the NCP. Results indicated that wind erosion from agricultural fields in the NCP produced approximately 33.8 × 105 tons of PM10 annually. These emissions are predominantly concentrated during the winter months from October to next April, with the highest emissions occurring in Hebei, Henan, and Shandong provinces. Using scenario experiments with the WRF-Chem model, we further quantified the contribution of agricultural dust emissions to atmospheric PM10 concentrations. The findings revealed that farmland emissions contributed approximately 13% of atmospheric PM10 concentrations during winter months (January and December), underscoring the significant role of agricultural activities in regional air pollution. This study highlights the importance of including farmland wind erosion into chemical transport models to more accurately understand and mitigate the effects of agricultural activities on atmospheric pollution in agricultural regions worldwide. |
| format | Article |
| id | doaj-art-8534aa44f8de4e48b8b575688c887465 |
| institution | Kabale University |
| issn | 0160-4120 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Environment International |
| spelling | doaj-art-8534aa44f8de4e48b8b575688c8874652025-01-24T04:44:00ZengElsevierEnvironment International0160-41202025-01-01195109191Contribution of dust emissions from farmland to particulate matter concentrations in North China Plain: Integration of WRF-Chem and WEPS modelHaopeng Zhang0Feng Wang1Shenghui Zhou2Tianning Zhang3Minghui Qi4Hongquan Song5Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education, Kaifeng, Henan 475004, China; Henan Key Laboratory of Air Pollution Control and Ecological Security (Henan University), Kaifeng, Henan 475004, ChinaSchool of Software, Henan University, Kaifeng, Henan 475004, ChinaHenan Key Laboratory of Air Pollution Control and Ecological Security (Henan University), Kaifeng, Henan 475004, China; Institute of Urban Big Data, College of Geography and Environmental Science, Henan University, Kaifeng, Henan 475004, ChinaHenan Key Laboratory of Air Pollution Control and Ecological Security (Henan University), Kaifeng, Henan 475004, China; Institute of Urban Big Data, College of Geography and Environmental Science, Henan University, Kaifeng, Henan 475004, ChinaLaboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education, Kaifeng, Henan 475004, China; Institute of Urban Big Data, College of Geography and Environmental Science, Henan University, Kaifeng, Henan 475004, ChinaLaboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education, Kaifeng, Henan 475004, China; Henan Key Laboratory of Air Pollution Control and Ecological Security (Henan University), Kaifeng, Henan 475004, China; Corresponding author at: Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education, Kaifeng, Henan 475004, China.Wind erosion from farmland is a significant contributor to atmospheric particulate matter, particularly PM10 (atmospheric particulate matter with an aerodynamic diameter ≤ 10 μm), in regions with intensive agricultural activities such as the North China Plain (NCP). However, the specific impact of farmland dust emissions on regional air quality remains underexplored. This study integrated the Wind Erosion Prediction System (WEPS) model with the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem) to investigate the effect of agricultural dust emissions on PM10 concentrations in the NCP. Results indicated that wind erosion from agricultural fields in the NCP produced approximately 33.8 × 105 tons of PM10 annually. These emissions are predominantly concentrated during the winter months from October to next April, with the highest emissions occurring in Hebei, Henan, and Shandong provinces. Using scenario experiments with the WRF-Chem model, we further quantified the contribution of agricultural dust emissions to atmospheric PM10 concentrations. The findings revealed that farmland emissions contributed approximately 13% of atmospheric PM10 concentrations during winter months (January and December), underscoring the significant role of agricultural activities in regional air pollution. This study highlights the importance of including farmland wind erosion into chemical transport models to more accurately understand and mitigate the effects of agricultural activities on atmospheric pollution in agricultural regions worldwide.http://www.sciencedirect.com/science/article/pii/S0160412024007773Wind erosionFarmland dust emissionsAgricultural dustPM10 concentrationAir quality modeling |
| spellingShingle | Haopeng Zhang Feng Wang Shenghui Zhou Tianning Zhang Minghui Qi Hongquan Song Contribution of dust emissions from farmland to particulate matter concentrations in North China Plain: Integration of WRF-Chem and WEPS model Environment International Wind erosion Farmland dust emissions Agricultural dust PM10 concentration Air quality modeling |
| title | Contribution of dust emissions from farmland to particulate matter concentrations in North China Plain: Integration of WRF-Chem and WEPS model |
| title_full | Contribution of dust emissions from farmland to particulate matter concentrations in North China Plain: Integration of WRF-Chem and WEPS model |
| title_fullStr | Contribution of dust emissions from farmland to particulate matter concentrations in North China Plain: Integration of WRF-Chem and WEPS model |
| title_full_unstemmed | Contribution of dust emissions from farmland to particulate matter concentrations in North China Plain: Integration of WRF-Chem and WEPS model |
| title_short | Contribution of dust emissions from farmland to particulate matter concentrations in North China Plain: Integration of WRF-Chem and WEPS model |
| title_sort | contribution of dust emissions from farmland to particulate matter concentrations in north china plain integration of wrf chem and weps model |
| topic | Wind erosion Farmland dust emissions Agricultural dust PM10 concentration Air quality modeling |
| url | http://www.sciencedirect.com/science/article/pii/S0160412024007773 |
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