Research on PM(2.5) prediction and spatiotemporal variation in the Yangtze River Delta region of China based on constraint-based geographically weighted random forest.
- DOI
- 10.1007/s10661-026-15508-6
- Published
- 2026 Jun 4
- Container
- Environmental monitoring and assessment
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s10661-026-15508-6,
title = {Research on PM(2.5) prediction and spatiotemporal variation in the Yangtze River Delta region of China based on constraint-based geographically weighted random forest.},
author = {Su T and Dong J and Cui X and Wang L and Gao H and Fang M and Li X and Liu S and Kong D and Chen J},
year = {2026},
journal = {Environmental monitoring and assessment},
doi = {10.1007/s10661-026-15508-6},
url = {https://doi.org/10.1007/s10661-026-15508-6}
}RIS
TY - JOUR TI - Research on PM(2.5) prediction and spatiotemporal variation in the Yangtze River Delta region of China based on constraint-based geographically weighted random forest. AU - Su T AU - Dong J AU - Cui X AU - Wang L AU - Gao H AU - Fang M AU - Li X AU - Liu S AU - Kong D AU - Chen J PY - 2026 JO - Environmental monitoring and assessment DO - 10.1007/s10661-026-15508-6 UR - https://doi.org/10.1007/s10661-026-15508-6 ER -
APA
T, S., J, D., X, C., L, W., H, G., M, F., X, L., S, L., D, K., & J, C. (2026). Research on PM(2.5) prediction and spatiotemporal variation in the Yangtze River Delta region of China based on constraint-based geographically weighted random forest.. Environmental monitoring and assessment. https://doi.org/10.1007/s10661-026-15508-6
Source records
- pubmed · retrieved 2026-09-27T14:34:58.910Z