Simulation of actual runoff using remote sensing driven distributed hydrological model

In this paper, a remote sensing-drived distributed water balance and water transport model (RSWB/WTM) based on WBM/WTM (Water balance model/Water transport model) model is developed. Using precipitation and evaportranpiration data retrieved from remote sensing, the monthly discharge of three hydrological stations (Fuping, Zhongtangmei and Zijingguan) in Baiyangdian Lake Basin was simulated. Then the accuracy of the model was evaluated using Nash and Sutcliffe model efficiency coefficients (E (NS)) and R2. The E (NS) for all stations is above 0.54, among which Zhongtangmai and Zijingguan are larger than 0.62. The R2 are 0.56, 0.64 and 0.64 for Fuping, Zhongtangmei and Zijingguan respectively. In recent years, human activities have affected the natural water balance in Baiyangdian largely, thus the accuracy of the model was much influenced. It is also affected by the quality of the remote sensing retrieved data. It is hoped that the RSWB/WTM model and its application in Baiyangdian basin can provide a useful tools for the water resource assessment based on remote sensing data.