Spatial discretization of distributed hydrological response units for SWAT

  • Jicai Ning
  • , Zhiqiang Gao*
  • , Wenjiang Zhang
  • , Runhe Shi
  • , Wei Gao
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The Soil and Water Assessment Tool (SWAT) is a well established eco-hydrologic model. For the semi-distributed hydrological model, Hydrological Response Units (HRUs) are the basic modeling units, which are defined by land use, soil and slope. Land surface patches within one Hydrological Response Units (HRUs) should bear identical hydrological properties (including land use, soil, slope and management) and thus have similar hydrological responses. However, it is difficult to determinate the spatial locations and to describe the interactions between different HRUs. This study proposed one schema to discretize HRUs for SWAT on the basis of generalized data input. Within a small watershed of Taihu Basin, the data of land use and soil were generalized for discretizing SWAT HRUs. The SWAT model was modified with the discretized HRUs. The resulted showed that the SWAT improved by discretization schema could be more sensitive the runoff lag process and thus achieved better simulation accuracy.

Original languageEnglish
Title of host publicationRemote Sensing and Modeling of Ecosystems for Sustainability XI
EditorsJinnian Wang, Ni-Bin Chang, Wei Gao
PublisherSPIE
ISBN (Electronic)9781628412482
DOIs
StatePublished - 2014
Externally publishedYes
EventRemote Sensing and Modeling of Ecosystems for Sustainability XI - San Diego, United States
Duration: 18 Aug 201420 Aug 2014

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume9221
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceRemote Sensing and Modeling of Ecosystems for Sustainability XI
Country/TerritoryUnited States
CitySan Diego
Period18/08/1420/08/14

Keywords

  • HRU spatial discretization
  • Runoff lag
  • SWAT
  • Taihu lake basin

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