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- Title
INFLUENCE OF RAINFALL SPATIAL VARIABILITY ON RUNOFF SIMULATION IN HILLY IRRIGATION AREAS.
- Authors
CHEN, J. L.; LUO, W. B.; WANG, W. J.; YU, L.; LI, Y. L.; ZOU, Z. K.; HAN, X. D.; HUANG, S. Z.
- Abstract
Rainfall spatial variability is a crucial factor determining rainfall input in hydrological models and it significantly affects model simulation accuracy. We selected the Yangshudang watershed in the Zhanghe irrigation district of Yangtze River Basin of China to assess the impact of rainfall spatial variability on SWAT runoff simulation in hilly irrigation areas. Eight different rainfall station network distributions were established and rainfall data were processed, using the SWAT model nearest and Thiessen polygon interpolation methods to analyze rainfall spatial variations in the study area. This study investigated the effects of the number, layout, and rainfall grades of rainfall gauges on runoff simulation performance. The results indicated that a higher number of rainfall gauges and more uniform spatial distribution leads to better runoff simulation performance. Among the scenarios examined, using three rainfall gauges yielded the best results, with R2, NSE, and RSR values of 0.84, 0.81, and 0.44, respectively. Employing Thiessen polygon interpolation with three rainfall gauges the R2 value increased to 0.87, enhancing it by 3.57% and further reducing the simulation errors caused by rainfall spatial variability. Additionally, runoff simulation under different rainfall grades exhibited varying responses to rainfall spatial variability, with minimal impact observed during light rainfall and the greatest impact during moderate and heavy rainfall events.
- Subjects
VORONOI polygons; RUNOFF; RAINFALL; HYDROLOGIC models; WATERSHEDS
- Publication
Applied Ecology & Environmental Research, 2024, Vol 22, Issue 4, p3347
- ISSN
1589-1623
- Publication type
Article
- DOI
10.15666/aeer/2204_33473359