基于SCS模型的登封市景观格局对地表径流的影响研究OA北大核心CSTPCD

In this study,we explored the evolution of landscape patterns in Dengfeng City from 2003 to 2021 and its correlation with surface runoff in dry,normal,and wet seasons,and analyzed the spatial het-erogeneity of landscape pattern index.We aimed to provide a reference for decreasing surface runoff and optimizing the landscape pattern.Based on the Landsat series of remote sensing images,the land use type and landscape pattern indices of Dengfeng City were extracted,and four land use types were delineated in the study area:farm,forest,construction and surface water.The low water,normal water and high water months were January,April and July,with average monthly precipitation of 16.70,52.40,159.10 mm,re-spectively.The USDA Soil Conservation Service(SCS)hydrological model,Pearson correlation analysis and geographically weighted regression(GWR)methods were used to study the impact of landscape pat-tern evolution on runoff.Results are as follows:(1)In Dengfeng City,the ratio of forest land reduction to rise in surface runoff was smaller with increased rainfall,and the reduction rate in July was 33.37%lower than in April.(2)Surface runoff in Dengfeng City varied significantly with location and time.The in-crease in runoff resulting from rapid urban construction from 2015 to 2021 exceeded 50 mm in July,with the area of 26.29 km2.(3)The correlation between landscape index and runoff gradually increased and reached significance as rainfall increased.The positive correlations between the splitting index(SPLIT),interspersion juxtaposition index(IJI),landscape shape index(LSI)and runoff in July were 10.8%,12.3%and 8.3%lower than the average in April.The blocking effect of forests on runoff was strongest in April.(4)The positive and negative influences of contagion index(CONTAG),IJI,and LSI on runoff were sig-nificantly different in both temporal and spatial dimensions,and the overall driving force was positive.The dominant driving force changed from IJI to CONTAG with time.The coupling correlation between landscape pattern and runoff was highest in April,and the dominant driving force affecting runoff change was different on the temporal and spatial scales.Therefore,flood control planning in different regions should be based on optimizing the overall landscape pattern and fully consider the differential effects of dominant patch connectivity on runoff mitigation.