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Geographic information system-coupling sediment delivery distributed modeling based on observed data.

S E Lee1, S H Kang1

  • 1Environmental Research Institute, Kangwon National University, 245-711, Samcheok city, Kangwon-do, South Korea and Department of Energy & Mineral Resources Engineering, Kangwon National University, 245-711, Samcheok city, Kangwon-do, South Korea

Water Science and Technology : a Journal of the International Association on Water Pollution Research
|August 8, 2014
PubMed
Summary
This summary is machine-generated.

This study introduces a GIS-based method for estimating soil erosion and sediment discharge using a sediment delivery (SEDD) model calibrated with observed data. The approach is practical for both gauged and ungauged basins in monsoon regions.

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Area of Science:

  • Environmental Science
  • Hydrology
  • Geomorphology

Background:

  • Spatially distributed sediment delivery (SEDD) models are crucial for assessing soil erosion and sediment yield impacts.
  • Model calibration requires observed data, which can be a limitation for widespread application.

Purpose of the Study:

  • To present a GIS-based method for calculating sediment discharge from basins to coastal areas.
  • To propose and validate a SEDD model incorporating a sediment rating curve method based on observed data.

Main Methods:

  • Developed a GIS-based SEDD model using ArcGIS Model Builder, integrating the Revised Universal Soil Loss Equation (RUSLE) and a spatially distributed sediment delivery ratio.
  • Employed a sediment rating curve method validated with observed data for model calibration.
  • The model comprises two modules: soil erosion prediction and sediment delivery.

Main Results:

  • The integrated approach provides practical and cost-effective estimation of spatially distributed soil erosion and sediment delivery.
  • The model is effective for both gauged and ungauged basins.
  • This research represents the first estimation of sediment delivery ratio based on observed data in Korea's monsoon region.

Conclusions:

  • The developed GIS-based SEDD model offers a valuable tool for understanding spatial patterns of soil loss and sediment discharge.
  • The method facilitates sediment yield estimation in data-scarce regions, particularly in monsoon environments.
  • The study highlights the importance of observed data for calibrating SEDD models.