| contributor author | Akhila, R. | |
| contributor author | Pramada, S. K. | |
| contributor author | Berndtsson, R. | |
| date accessioned | 2026-08-20T11:07:58Z | |
| date available | 2026-08-20T11:07:58Z | |
| date copyright | 2026/04/23 | |
| date issued | 2026 | |
| identifier other | JHYEFF.HEENG-6766.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4311734 | |
| description abstract | AbstractHigh-resolution rainfall data are essential for various hydrological applications
such as flood modeling, soil erosivity studies, and urban water management. However,
the scarcity of subdaily data, particularly in remote regions, necessitates ... | |
| publisher | American Society of Civil Engineers | |
| title | Hybrid Approach to Rainfall Disaggregation Using Artificial Intelligence and Multivariate Disaggregation Considering Spatial Correlation | |
| type | Journal Article | |
| journal volume | 31 | |
| journal issue | 4 | |
| journal title | Journal of Hydrologic Engineering | |
| identifier doi | 10.1061/JHYEFF.HEENG-6766 | |
| journal fristpage | 04026011-1 | |
| journal lastpage | 04026011-13 | |
| page | 13 | |
| tree | Journal of Hydrologic Engineering:;2026:;Volume ( 031 ):;issue: 004 | |
| contenttype | Fulltext | |
