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Development of the GOIUG Model with a Focus on the Influence of Land Use in the Shangshe Catchment

  • J.C. Zhang
  • D.L. DeAngelis
  • J.Y. Zhuang
Chapter

Abstract

Sediment management strategies are crucial to developing countries because of the limited resources. Establishment of these strategies is hampered to some extent by the lack of reliable information on catchment sources. This chapter reports the rainfall-sediment response of various types of lands in the Shangshe catchment (528.8 ha) of the Dabie Mountains of Anhui Province, China. Field observation in the year 2000 showed 32 events occurred, among which 18 events produced runoff. Comparison among SISSD (specific instant suspended sediment discharge) hydrographs from the five monitored sites showed that the cultivated land produced the highest level of SISSD, which was 100 times higher than that of the tea garden, Chinese fir forest, or the pine forest, and 10 times higher than that of the river outlet. Integrating the field observation data of SISSD in representative kinds of land use within the catchments with geographic information system (GIS) and a hydro model, the GOIUH (GIS-based observed instantaneous unit hydrograph) model, was constructed to simulate the SISSD hydrograph of the river outlet. The resulting model showed that the calculated SISSD hydrographs compared well with the observed ones at the outlet of the Shangshe catchment, as shown by a coefficient of correlation R 2 of 0.8. The semi-distributed sediment discharge model, with a focus on the influence of land use in the Shangshe catchment, can help to quantitatively understand the source of sediment discharge.

Keywords

Geographic Information System Digital Elevation Model Sediment Yield Suspended Sediment Concentration Concentration Time 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  1. 1.Dean of the College of Forest Resources and EnvironmentNanjing Forestry UniversityNanjingChina
  2. 2.Department of BiologyUniversity of MiamiCoral GablesUSA
  3. 3.College of Forest Resources and EnvironmentNanjing Forestry UniversityNanjingChina

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