| contributor author | Mokarram, Marzieh | |
| contributor author | Zarei, Abdol Rassoul | |
| date accessioned | 2026-08-20T21:09:09Z | |
| date available | 2026-08-20T21:09:09Z | |
| date copyright | 2026/02/04 | |
| date issued | 2026 | |
| identifier other | NHREFO.NHENG-2618.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4314031 | |
| description abstract | AbstractThis study aims to analyze the morphological indices of river channels in Shiraz,
located in southwestern Iran, through the examination of morphological parameters
and the application of remote-sensing (RS) indices to delineate flood zones. RS ...Practical ApplicationsFlooding poses a significant threat to urban areas, and this study provides a practical
toolkit for city planners and water resource managers to predict better and manage
these risks. Our research in Shiraz, Iran, demonstrates that ... | |
| publisher | American Society of Civil Engineers | |
| title | Determining Potential Areas for Flood Inundation Using Remote Sensing and Artificial Neural Networks | |
| type | Journal Article | |
| journal volume | 27 | |
| journal issue | 2 | |
| journal title | Natural Hazards Review | |
| identifier doi | 10.1061/NHREFO.NHENG-2618 | |
| journal fristpage | 04026006-1 | |
| journal lastpage | 04026006-14 | |
| page | 14 | |
| tree | Natural Hazards Review:;2026:;Volume ( 027 ):;issue: 002 | |
| contenttype | Fulltext | |