Climate driven drought risk and machine learning approaches for urban resilience and sustainable water governance.
- DOI
- 10.1016/j.envres.2026.124220
- Published
- 2026 Jun 15
- Container
- Environmental research
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.envres.2026.124220,
title = {Climate driven drought risk and machine learning approaches for urban resilience and sustainable water governance.},
author = {Soomro SE and Wei H and Boota MW and Soomro NE and Ali S and Nazli S and Hu C and Guo J},
year = {2026},
journal = {Environmental research},
doi = {10.1016/j.envres.2026.124220},
url = {https://doi.org/10.1016/j.envres.2026.124220}
}RIS
TY - JOUR TI - Climate driven drought risk and machine learning approaches for urban resilience and sustainable water governance. AU - Soomro SE AU - Wei H AU - Boota MW AU - Soomro NE AU - Ali S AU - Nazli S AU - Hu C AU - Guo J PY - 2026 JO - Environmental research DO - 10.1016/j.envres.2026.124220 UR - https://doi.org/10.1016/j.envres.2026.124220 ER -
APA
SE, S., H, W., MW, B., NE, S., S, A., S, N., C, H., & J, G. (2026). Climate driven drought risk and machine learning approaches for urban resilience and sustainable water governance.. Environmental research. https://doi.org/10.1016/j.envres.2026.124220
Source records
- pubmed · retrieved 2026-09-25T18:15:46.257Z