Remote sensing and GIS technologies were integrated to estimate runoff for Binjiang basin, China. Remotely sensed images from the Landsat satellites were used to develop land cover maps of the study area for the years 1990, 1995 and 2000. GIS analysis, based on land-cover and soil map data, was used to estimate SCS curve numbers on a 30-meter grid and to compute runoff depths for a 10 -year maximum rainfall event. Runoff coefficients were computed by the Rational method for each year of the study. Temporal changes in spatial distribution of land cover, runoff coefficients, and runoff volume were estimated. A runoff hydrograph, based on the above information and digital elevation model, was developed for the study area. The land cover for the study region showed an increase in urban area and a corresponding decrease in vegetation area. A increase in modeled runoff volume and peak flow is attributed to this change in land cover. The results of this study indicate a need for protecting vegetation to reduce the effect of floods in this basin.
['Yulin Zhan', 'Changyao Wang', 'Zheng Niu', 'Pifu Cong', 'Guanyi Li']
Remote sensing and GIS in runoff coefficient estimation in Binjiang Basin