An integrated framework for flood susceptibility assessment in rural areas using PSO-optimized machine learning and SHAP-based intelligent clustering
Bibliographic Data
| ID | 11368166 |
|---|---|
| Authors | Mortaza Tavakoli (Tarbiat Modares University, corresponding author), Esmaeel Parizi (0000-0001-6458-1519, Iranian National Institute for Oceanography and Atmospheric Science, corresponding author), Yousef Kanani-Sadat (University of Tehran), Zahir Nikraftar (0000-0002-0149-7237, Queen Mary University of London), Amirhossein Heydari Delooei (University of Tehran) |
| Year | 2026 |
| Volume | 120 |
| Pages | 108414 |
| Publication date | 2026-07-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environmental Impact Assessment Review (JOURNAL) |
| Journal identifiers | ISSN: 0195-9255 • E-ISSN: 1873-6432 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.eiar.2026.108414 |
| OpenAlex | W7135239984 |
| Language | EN |
| References cited | 87 |
Cluster analysis · Flood myth · Rural area · Training set · Flood Risk Assessment and Management · Hydrological Forecasting Using AI · Urban Stormwater Management Solutions
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| Citation velocity | historical |
|---|---|
| Highly cited | No |