Synergistic assessment of multi-scenario urban waterlogging through data-driven decoupling analysis in high-density urban areas: A case study in Shenzhen, China.
- DOI
- 10.1016/j.jenvman.2024.122330
- Published
- 2024 Oct
- Container
- Journal of environmental management
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.jenvman.2024.122330,
title = {Synergistic assessment of multi-scenario urban waterlogging through data-driven decoupling analysis in high-density urban areas: A case study in Shenzhen, China.},
author = {Zhou S and Jia W and Wang M and Liu Z and Wang Y and Wu Z},
year = {2024},
journal = {Journal of environmental management},
doi = {10.1016/j.jenvman.2024.122330},
url = {https://doi.org/10.1016/j.jenvman.2024.122330}
}RIS
TY - JOUR TI - Synergistic assessment of multi-scenario urban waterlogging through data-driven decoupling analysis in high-density urban areas: A case study in Shenzhen, China. AU - Zhou S AU - Jia W AU - Wang M AU - Liu Z AU - Wang Y AU - Wu Z PY - 2024 JO - Journal of environmental management DO - 10.1016/j.jenvman.2024.122330 UR - https://doi.org/10.1016/j.jenvman.2024.122330 ER -
APA
S, Z., W, J., M, W., Z, L., Y, W., & Z, W. (2024). Synergistic assessment of multi-scenario urban waterlogging through data-driven decoupling analysis in high-density urban areas: A case study in Shenzhen, China.. Journal of environmental management. https://doi.org/10.1016/j.jenvman.2024.122330
Source records
- pubmed · retrieved 2026-09-26T10:35:47.266Z