Water Research, Journal Year: 2024, Volume and Issue: 272, P. 122961 - 122961
Published: Dec. 12, 2024
Language: Английский
Water Research, Journal Year: 2024, Volume and Issue: 272, P. 122961 - 122961
Published: Dec. 12, 2024
Language: Английский
Journal of environmental chemical engineering, Journal Year: 2025, Volume and Issue: unknown, P. 116097 - 116097
Published: March 1, 2025
Language: Английский
Citations
0Trends in Food Science & Technology, Journal Year: 2025, Volume and Issue: unknown, P. 104964 - 104964
Published: March 1, 2025
Language: Английский
Citations
0Environmental Pollution, Journal Year: 2025, Volume and Issue: unknown, P. 126151 - 126151
Published: March 1, 2025
Language: Английский
Citations
0Journal of Colloid and Interface Science, Journal Year: 2025, Volume and Issue: 693, P. 137639 - 137639
Published: April 18, 2025
Language: Английский
Citations
0Bioresource Technology, Journal Year: 2025, Volume and Issue: 430, P. 132561 - 132561
Published: April 19, 2025
Language: Английский
Citations
0Journal of Hazardous Materials, Journal Year: 2024, Volume and Issue: 477, P. 135331 - 135331
Published: July 26, 2024
Language: Английский
Citations
3Waste Management, Journal Year: 2024, Volume and Issue: 188, P. 95 - 106
Published: Aug. 10, 2024
Language: Английский
Citations
3The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 951, P. 175411 - 175411
Published: Aug. 10, 2024
Language: Английский
Citations
2Sustainability, Journal Year: 2024, Volume and Issue: 16(17), P. 7315 - 7315
Published: Aug. 26, 2024
Straw burning is recognized as a significant contributor to deteriorating air quality, but its specific impacts, particularly on PM2.5 concentrations, are still not fully understood or quantified. In this study, we conducted detailed examination of the spatial and temporal patterns straw in Heilongjiang Province, China—a key agricultural area—utilizing high-resolution fire-point data from Fengyun-3 satellite. We subsequently employed random forest (RF) models alongside Shapley Additive Explanations (SHAPs) systematically evaluate impact various determinants, including (as indicated by crop data), meteorological conditions, aerosol optical depth (AOD), levels across dimensions. Our findings statistically nonsignificant downward trend number fires Province 2015 2023, with hotspots mainly concentrated western southern parts province. On monthly scale, was primarily observed February April October November—which critical periods calendar—accounting for 97% annual fire counts. The RF achieved excellent performance predicting levels, R2 values 0.997 0.746 predictions. SHAP analysis revealed points be determinant variations during straw-burning periods, explaining 72% variance. However, significance markedly reduced analysis. This study leveraged machine learning interpretable modeling techniques provide comprehensive understanding influence both temporally spatially. offers valuable insights policymakers formulate more targeted effective strategies combat pollution.
Language: Английский
Citations
2Journal of Hazardous Materials, Journal Year: 2024, Volume and Issue: 472, P. 134617 - 134617
Published: May 14, 2024
Language: Английский
Citations
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