Enhancing Rainfall-Runoff Simulation in Data-Poor Watersheds: Integrating Remote Sensing and Hybrid Decomposition for Hydrologic Modelling
Islamic Azad University of Khomeynishahr · University of Hawaiʻi at Mānoa · +5 more institutions
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Abstract
No abstract available for this paper.
Citation impact
43
total citations
- FWCI
- 27.51
- Percentile
- 100%
- References
- 82
Citations per year
Authors
6Topics & keywords
Topics
Keywords
- Hydrogeology
- Surface runoff
- Environmental science
- Hydrology (agriculture)
- Hydrological modelling
- Decomposition
- Remote sensing
- Geology
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Funding
- NRNational Research Foundation
- MOMinistry of EnvironmentAwards: RS-2022-KE002032, RS-2023-00218873
- NRNational Research Foundation of KoreaAward: RS-2023-00222333
- MOMinistry of Education, India
- MOMinistry of Science and ICT, South KoreaAwards: RS-2023-00222333, RS-2023-
- KEKorea Environmental Industry and Technology InstituteAwards: RS-2022-KE002032, RS-2023-00218873