Correlation analysis was used to identify the dominant factor of land use change affecting surface runoff. Surface runoffs were calculated with the Soil Conservation Service curve number (SCS-CN) model. Land use maps of 1984, 1999, 2009, and 2019 were generated by image classification of Landsat images. This study investigated the impact of land use change on surface runoff in Beijing’s central area during the period of rapid urbanization from 1984 to 2019. The change in land use during the process of urbanization affects surface runoff and increases flood risk in big cities. The average reduction of flood volume in each sub basins is 12,92% and the highest number of reduction is 65,67% (sub basin 22). The efforts to reduce flood through the land use scenario (scenario 2) could reduce the flood volume by 44,320.32 m3 or 8.11% of the total volume of flood in the area. ![]() In order to reach this aim, the writer uses sensitivity analysis to identify the proper land use scenario to be applied in the watershed and SWAT to select the best scenario. The aim of this research is to determine the proper land use scenario to reduce floods in Kedurus Watershed. The protection against flood in WSC can be accomplished with the land use arrangement that can reduces the surface runoff. One of the proper urban development concept is the Water Sensitive City (WSC). ![]() According to these problems, it is necessary to take steps to control flood in Kedurus Watershed. Land conversion from conservation to cultivation uses affects the surface runoff volume that leads to flooding. Moreover, the rapid urbanization also increases the contribution of land constrains. The rapid growth population phenomenon has causes excessive land demand for residential and economic activity.
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