Water Resources Management

, Volume 25, Issue 2, pp 661–676 | Cite as

Application of a Simple Raster-Based Hydrological Model for Streamflow Prediction in a Humid Catchment with Polder Systems

  • Guangju Zhao
  • Georg Hörmann
  • Nicola Fohrer
  • Junfeng Gao
  • Hengpeng Li
  • Peng Tian
Article

Abstract

The hydrological processes are controlled by many factors such as topography, soil, climate and land management practices. These factors have been included in most hydrological models. This study develops a raster-based distributed hydrological model for catchment runoff simulation integrating flood polders regulation. The overland flow and channel flow are calculated by kinematic wave equations. A simple bucket method is used for outflow estimation of polders. The model was applied to Xitiaoxi catchment of Taihu Lake Basin. The accuracy of the model was satisfactory with Nash–Sutcliffe efficiencies of 0.82 during calibration period and 0.85 for validation at Hengtangcun station. The results at Fanjiacun station are slightly worse due to the tidal influence of Taihu Lake with high values of root mean square errors. A model sensitivity analysis has shown that the ratio of potential evapotranspiration to pan evaporation (K), the outflow coefficients of the freewater storage to groundwater (KG) and interflow (KSS) and the areal mean tension water capacity (WM) were the most sensitive parameters. The simulation results indicate that the polder systems could reduce the flood peaks. Additionally, it was confirmed that the proposed polders operation method improved the accuracy of discharge simulation slightly.

Keywords

Distributed hydrological model The PCRaster-Xinanjiang (PCR-XAJ) model Polder systems Daily discharge Xitiaoxi catchment 

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Copyright information

© Springer Science+Business Media B.V. 2010

Authors and Affiliations

  • Guangju Zhao
    • 1
  • Georg Hörmann
    • 1
  • Nicola Fohrer
    • 1
  • Junfeng Gao
    • 2
  • Hengpeng Li
    • 2
  • Peng Tian
    • 3
  1. 1.Department of Hydrology and Water Resources Management, Institute of Natural Resources ConservationKiel UniversityKielGermany
  2. 2.Nanjing Institute of Geography and LimnologyChinese Academy of SciencesNanjingChina
  3. 3.College of Water Resources and Architectural EngineeringNorth-Western University of Agricultural and Forest Sciences and TechnologyYanglingChina

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