Effect of Different LULC Datasets on Hydrologic Modeling
Land-use/land-cover is an important input into the hydrologic model. It can affect the rates of intercep-tion, infiltration, evapotranspiration, and groundwater recharge that result in influences to the timing and amounts of river runoff.[Objective]Better understand the impacts of the different accuracy of land-use/land-cover data on the hydrologic modeling.[Method]We evaluated the different accuracy of land-use/land-cover data by com-paring three land-use/land-cover datasets (NLULC, NLULC-1km and MICLULC) based on different spatial reso-lution and interpretation accuracy. Subsequently, the three land-use/land-cover datasets were input into SWAT model and simulated the river runoff from mountainous area in Upper Reach of the Heihe River, respectively.[Result]Inputting the land-use/land-cover dataset with the higher spatial resolution and less land-use/land-cover classification was important to reduce the complexity and works during the model calibration process;After mod-el calibration, the land-use/land-cover dataset with more detailed land-use/land-cover classification corresponded to a worse model efficiency. Moreover, the impacts of spatial resolution of the land-use/land-cover dataset would be weakened with model calibration.[Conclusion]Inputting land-use/land-cover data with higher spatial resolu-tion and less classification to SWAT can improve the model efficiency when simulating the stream flow.
land-use/land-coverSWATrunoffupper reach of the Heihe river
国家科技期刊平台
NSTL
万方数据
维普
