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http://dx.doi.org/10.12672/ksis.2012.20.5.025

The Comparison of Water Quality of Daecheong-Dam basin According to the Data Sources of Land Cover Map  

Lee, Geun Sang (전주비전대학교 지적부동산과)
Park, Jin Hyeog (한국수자원공사 K-water연구원 수자원연구소)
Choi, Yun Woong (조선이공대학교 토목건설과)
Publication Information
Spatial Information Research / v.20, no.5, 2012 , pp. 25-35 More about this Journal
Abstract
This study compared the influence of water quality according to the data sources of spatial information. Firstly, land cover map was constructed through image classification of Daecheong-dam basin and the accuracy of image classification from satellite image showed high as 88.76% in comparison with the large-scaled land cover map in Ministry of Environment, to calculate Event Mean Concentration (EMC) by land cover that impact on the evaluation of nonpoint source pollutant loads. Also curve number and direct runoff were calculated by spatial overlay with soil map and land cover map from image classification. And Seokcheon and Daecheong-Dam basin showed high in the analysis of curve number and direct runoff. Samgacheon-Joint and Sokcheon-Downstream basin showed high in the nonpoint source pollutant loads of BOD from direct runoff and EMC. And Samgacheon-Joint and Bonghwangcheon- Downstream basin showed high in the nonpoint source pollutant loads of TN and TP. Nonpoint source pollutant loads from image classification were compared with those by the land cover map from Ministry of Environment to present the effectivity of nonpoint source pollutant loads from satellite image. And Daecheong-Dam Upstream basin showed high as 10.64%, 11.70% and 20.00% respectively in the errors of nonpoint source pollutant loads of BOD, TN, and TP. Therefore, it is desirable that spatial information including with paddy and dry field is applied to the evaluation of nonpoint source pollutant loads in order to simulate water quality of basin effectively.
Keywords
Data Source; Image Classification; Nonpoint Source Pollutant Loads; Land Cover;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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