Abstract
The objective of this study was to assess the lake sediment budget of land use changes using the Universal Soil Loss Equation (USLE), sediment delivery ratio (SDR), and trap efficiency (TE). The geographic information system was combined with the USLE to estimate the soil erosion of the Lake Asan watershed. Spatial data for each of the USLE factors were obtained from the land use, soil, and 1/25,000 scale digital contour maps. Landsat-5 TM images were selected for analyzing soil erosion changes due to land use changes. The sediment yield to Lake Asan was estimated using the SDR and TE. The estimated sediment budget was compared with observed data from the Lake Asan watershed between 1974 and 2003. The total estimated annual mean sediment budgets from Lake Asan in 1986, 1992, and 2000 were 0.267, 0.301, and 0.339 × 106 ton, respectively, with an average of 0.302 × 106 ton. The average measured sediment budget was 3.15 × 106 ton year-1. The average estimated value shows reasonable agreement with the observed sediment balance. The average estimated and measured sediment budgets contain uncertainties due to both the methods and the approach used by the observers. The simulated results indicated that soil erosion in the Lake Asan watershed increased at a rate of approximately 2 % per year from 1986 to 2000 due to land use change. This study may be useful for managers to identify reservoir rehabilitation management methods for stable irrigation water supply.
| Original language | English |
|---|---|
| Pages (from-to) | 2155-2165 |
| Number of pages | 11 |
| Journal | Environmental Earth Sciences |
| Volume | 71 |
| Issue number | 5 |
| DOIs | |
| State | Published - 2014.03 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 6 Clean Water and Sanitation
Keywords
- Remote sensing
- Sediment delivery ratio
- Soil erosion
- Trap efficiency
- USLE
Quacquarelli Symonds(QS) Subject Topics
- Earth & Marine Sciences
- Environmental Sciences
- Agriculture & Forestry
- Geophysics
- Engineering - Petroleum
- Geology
- Engineering - Mineral & Mining
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