Litcius/Paper detail

Modeling hydrologic responses using multi-site and single-site rainfall generators in a semi-arid watershed

Ying Zhao, M. A. Nearing, D. Phillip Guertin

2021International Soil and Water Conservation Research20 citationsDOIOpen Access PDF

Abstract

Hydrologic response in a watershed is driven by precipitation. Multi-site rainfall generators can be used to model watersheds using spatially varied rainfall inputs to better analyze how the rainfall variability affects runoff generation. This study adopted both a single-site rainfall generator (CLIGEN) and a multi-site rainfall generator to generate two rainfall data sequences, which were then used to drive the Soil and Water Assessment Tool (SWAT) for runoff simulation. The 148-km2 Walnut Gulch Experimental Watershed and its two sub-watersheds were selected to evaluate the hydrologic response. Runoff calibration was done against measured runoff in the watershed. Statistics showed that the single-site and multi-site rainfall generators gave similar results regarding annual precipitation. However, the multi-site generator performed much better than the single-site generator in both mean summer flow and for the different return period flows. The runoff derived from the single-site generator was significantly over-estimated in all three watersheds. As for the multi-site generator, the derived runoff was satisfactorily predicted in the smaller watersheds but only overestimated in the largest watershed. This indicated that in small to medium sized watersheds, the spatial variability of rainfall could play an important role for hydrologic response because of the heterogeneity of convective rainfall in this semi-arid region, which makes the application of multi-site rainfall generator a better option than the single-site generator.

Topics & Concepts

WatershedSurface runoffEnvironmental scienceHydrology (agriculture)PrecipitationSoil and Water Assessment ToolAridRunoff curve numberVfloStreamflowMeteorologyGeologyGeographyDrainage basinEcologyComputer scienceCartographyMachine learningPaleontologyGeotechnical engineeringBiologyHydrology and Watershed Management StudiesSoil erosion and sediment transportFlood Risk Assessment and Management