Environmental Pollution, Journal Year: 2024, Volume and Issue: unknown, P. 125583 - 125583
Published: Dec. 1, 2024
Language: Английский
Environmental Pollution, Journal Year: 2024, Volume and Issue: unknown, P. 125583 - 125583
Published: Dec. 1, 2024
Language: Английский
Applied Sciences, Journal Year: 2024, Volume and Issue: 14(12), P. 5026 - 5026
Published: June 9, 2024
Over the past decade, surface ozone has emerged as a significant air pollutant in China, especially North China Plain (NCP). For effective management NCP, it is crucial to accurately estimate levels and identify primary influencing factors for pollution this region. This study utilized precursors such volatile organic compounds (VOCs) nitrogen oxides (NOX), meteorological data, land cover, normalized difference vegetation index (NDVI), terrain, population data build an extreme gradient boosting (XGBoost)-based estimation model NCP during 2019 2021. Four models were developed using different NO2 formaldehyde (HCHO) datasets from Sentinel-5 TROPOMI observations Copernicus Atmosphere Monitoring Service (CAMS) reanalysis data. Site-based validation results of these four showed high accuracy with R2 values above 0.86. Among models, two higher spatial coverage ratio selected, their averaged produce final products. The indicated that VOCs NOX main pollutants causing relative contributions accounted more than 23.34% 10.23%, respectively, while HCHO also played role, contributing over 5.64%. Additionally, had notable impact, 28.63% pollution, each individual factor 2.38%. distribution identified Hebei–Shandong–Henan junction hotspot, peak occurring summer, particularly June. Therefore, hotspot region promoting reduction NOx can play important role mitigation O3 improvement quality
Language: Английский
Citations
1Environmental Pollution, Journal Year: 2024, Volume and Issue: unknown, P. 125583 - 125583
Published: Dec. 1, 2024
Language: Английский
Citations
0