CHI Wei-wei, LIU Yu, LIU Yu-long, WANG Lei

Department of Irrigation and Drainage, IWHR, Beijing 100048, China

Abstract: The purpose of this paper is to establish a distributed hydrological model for Daxing Irrigation Area which will provide a tool for multi-scale evaluation of water productivity and water-saving in the region. In this paper, Shuffled Complex Evolution (SCE-UA) is used to calibrate the crop parameters of winter wheat and summer maize in Soil and Water Assessment Tool (SWAT) in Daxing Station. Based on the actual evapotranspiration (ET_a) which was derived from MODIS satellite data from the Institute of Remote Sensing and Application (IRSA) of CAS, the sensitivity of parameters are analyzed using SUFI2, and the most sensitive parameters are selected. After that, by consideration of irrigation and fertilization schedule, the ET_a data of long term simulation for different land use is validated. The comparison results of calibration demonstrate that the accuracy of simulation is reasonable and the coefficient of determination R2 and Nash Sutcliffe efficiency reach 0.91 and 0.90 respectively. The relative error for different land use averages approximately 6.9%. The irrigation scheme has a great influence on the simulation of evapotranspiration and the accuracy of regional ET simulation can be greatly improved by using ET from remote sensing monitoring.

Key words: regional evaportranspiration; ET from remote sensing monitoring; SWAT model; SCE-UA; plant growth

Published in: Journal of China Institute of Water Resources and Hydropower Research (Vol. 11 No. 3, 2013)