Hydrological Modeling of Highly Glacierized Basins (Andes, Alps, and Central Asia)
AbstractThe Soil and Water Assessment Tool (SWAT) was used to simulate five glacierized river basins that are global in coverage and vary in climate. The river basins included the Narayani (Nepal), Vakhsh (Central Asia), Rhone (Switzerland), Mendoza (Central Andes, Argentina), and Central Dry Andes (Chile), with a total area of 85,000 km2. A modified SWAT snow algorithm was applied in order to consider spatial variation of associated snowmelt/accumulation by elevation band across each subbasin. In previous studies, melt rates varied as a function of elevation because of an air temperature gradient while the snow parameters were constant throughout the entire basin. A major improvement of the new snow algorithm is the separation of the glaciers from seasonal snow based on their characteristics. Two SWAT snow algorithms were evaluated in simulation of monthly runoff from the glaciered watersheds: (1) the snow parameters are lumped (constant throughout the entire basin) and (2) the snow parameters are spatially variable based on elevation bands of a subbasin (modified snow algorithm). Applying the distributed SWAT snow algorithm improved the model performance in simulation of monthly runoff with snow-glacial regime, so that mean RSR decreased to 0.49 from 0.55 and NSE increased to 0.75 from 0.69. Improvement of model performance was negligible in simulations of monthly runoff from the basins with a monsoon runoff regime. View Full-Text
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Omani, N.; Srinivasan, R.; Karthikeyan, R.; Smith, P.K. Hydrological Modeling of Highly Glacierized Basins (Andes, Alps, and Central Asia). Water 2017, 9, 111.
Omani N, Srinivasan R, Karthikeyan R, Smith PK. Hydrological Modeling of Highly Glacierized Basins (Andes, Alps, and Central Asia). Water. 2017; 9(2):111.Chicago/Turabian Style
Omani, Nina; Srinivasan, Raghavan; Karthikeyan, Raghupathy; Smith, Patricia K. 2017. "Hydrological Modeling of Highly Glacierized Basins (Andes, Alps, and Central Asia)." Water 9, no. 2: 111.
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