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flood prediction 2 hydrological modeling 2 Capacity building 1 Flood prediction 1 GIS 1 Remote sensing precipitation 1 TRMM 1 WetSpa model 1 landuse impacts 1 reforestation 1 remote sensing 1 runoff 1
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Liu, Y. 2 Smedt, F. 2 Adler, Robert 1 Bahremand, A. 1 Corluy, J. 1 Habib, Shahid 1 Hong, Yang 1 Irwn, Daniel 1 Korme, Tesfaye 1 Kunikova, E. 1 Li, Li 1 Okello, Lawrence 1 Policelli, Frederick 1 Poorova, J. 1 Velcicka, L. 1 Wang, Jiahu 1
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Water Resources Management 2 Natural Hazards 1
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RePEc 3
Showing 1 - 3 of 3
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Evaluation of the real-time TRMM-based multi-satellite precipitation analysis for an operational flood prediction system in Nzoia Basin, Lake Victoria, Africa
Li, Li; Hong, Yang; Wang, Jiahu; Adler, Robert; … - In: Natural Hazards 50 (2009) 1, pp. 109-123
-effective flood prediction in many under-gauged regions around the world. Recently, NASA Applied Science Program has partnered with … is to evaluate the applicability of integrating NASA’s standard satellite precipitation product with a flood prediction … that the flood prediction results were improved with systematically bias-corrected TMPA rainfall data with less bias (3 …
Persistent link: https://www.econbiz.de/10010846492
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WetSpa Model Application for Assessing Reforestation Impacts on Floods in Margecany–Hornad Watershed, Slovakia
Bahremand, A.; Smedt, F.; Corluy, J.; Liu, Y.; Poorova, J. - In: Water Resources Management 21 (2007) 8, pp. 1373-1391
The spatially distributed hydrologic model WetSpa working on a daily or hourly time scale combines elevation, soil and landuse data within GIS, to predict flood hydrographs and spatial distribution of hydrologic characteristics in a watershed. The model is applied to the Margecany–Hornad river...
Persistent link: https://www.econbiz.de/10010997750
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Flood Modeling for Complex Terrain Using GIS and Remote Sensed Information
Liu, Y.; Smedt, F. - In: Water Resources Management 19 (2005) 5, pp. 605-624
A spatially distributed hydrological model WetSpa (Water and Energy Transfer between Soil, Plants and Atmosphere) working on an hourly time scale is presented in this paper. The model combines elevation, soil and land use data, and predicts flood hydrograph and the spatial distribution of...
Persistent link: https://www.econbiz.de/10010794231
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