Runoff Simulation and Water Balance Analysis in the Nalenggele River Basin Using the SWAT Model
The Nalenggele River is the largest inland river in terms of both drainage area and runoffin the Qaidam Basin.In this study,we developed a distributed hydrological model,SWAT,and employed the SUFI-2 algorithm to perform parameter sensitivity analysis,calibration,and validation,conducting simulation analyses on monthly runoff data of the upper reaches of the NalenggeleRiver,spanning from 1979 to 2018.Our findings reveal that three parameters exhibit the highest sensitivity:snowmelt base temperature,snowfall temperature,and temperature reduction rate.During both the calibration and validation periods,the coefficient of determination(R²)and Nash-Sutcliffe efficiency coefficient exceed 0.81 and 0.65,respectively.A water balance analysis sheds light on the contribution of various components to the precipitation from 1979 to 2018.Specifically,evaporation,surface runoff,groundwater recharge,and groundwater lateral flow account for 70.89%,12.99%,11.84%,and 4.27%of the precipitation,respectively.The primary source of runoff in the basin is snow and ice melt,with temperature exerting a significant impact on the factors of the water balance.Furthermore,trend analysis demonstrates a consistent correlation between precipitation and surface runoff,indicating a relatively short timeframe for precipitation to transform into runoff.This research has significant implications for hydrological research and the management of water resources in the Nalenggele River Basin.
Runoff simulationSWAT modelRunoff componentsNalenggele River
NETL
NSTL
万方数据
维普
