Development of an AutoWEP distributed hydrological model and its application to the upstream catchment of the Miyun Reservoir

  • Authors:
  • Xiaohui Lei;Yu Tian;Weihong Liao;Wei Bai;Yang Wen Jia;Yun Zhong Jiang;Hao Wang

  • Affiliations:
  • State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China;School of Civil Engineering, Tianjin University, Tianjin 300072, China;State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China;Institute of Environment and Sustainable Development in Agriculture, Chinese academy of agricultural sciences, Beijing100081, China;State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China;State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China;State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China

  • Venue:
  • Computers & Geosciences
  • Year:
  • 2012

Quantified Score

Hi-index 0.00

Visualization

Abstract

Based on the physically characterized distributed hydrological modeling scheme - WEP-L - a more generalized and expandable method - AutoWEP - has been developed that is equipped with updated modules for pre-processing and automatic parameter identification. Sub-basin scale classifications of land use and soil are undertaken by incorporating remote sensing data and geographic information system techniques. In the process of developing the AutoWEP modeling scheme, a new concept of parameter partitioning is proposed and an automatic delineation of parameter partitions is achieved through programming. The sensitivity analysis algorithm, LH-OAT, and the parameter optimization algorithm, SCE-UA, are embedded in the model. Its application to the upstream watershed of the Miyun Reservoir shows that AutoWEP features time-savings, improved efficiency and suitable generalizations, that result in a long series of acceptable simulations.