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Relationships among a Habitat-Riparian Indexing System (HIS), Water Quality, and Land Coverage: a Case Study in the Main Channel of the Yangsan Stream (South Korea)
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  • Relationships among a Habitat-Riparian Indexing System (HIS), Water Quality, and Land Coverage: a Case Study in the Main Channel of the Yangsan Stream (South Korea)
저자명
Jeong. Kwang-Seuk,Kim. Dong-Kyun,Hong. Dong-Kyun,Choi. Jong-Yun,Yoon. Ju-Duk,Joo. Gea-Jae
간행물명
한국하천호수학회지= Korean journal of limnology
권/호정보
2009년|42권 4호|pp.502-509 (8 pages)
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한국하천호수학회
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

In this study a total of 27 stream sites, at 1 km intervals, were monitored for simple physicochemical water characteristics, land coverage patterns, and stream environment characteristics using the Habitat-riparian Indexing System (HIS), in the Yangsan Stream. The HIS has been tested in previous research, resulting in some identification of advantages in the application to the stream ecosystems data. Even though reliable stream environment characterization was possible using HIS, there was no information about the application of this tool to present continuity of environmental changes in stream systems. Also the necessity was raised to compare the results of HIS application with land coverage information in order to provide useful information in management strategy development. The monitoring results of this study showed that changes of environmental degradation were well represented by HIS. Especially, stream environment degradation due to construction was relatively well reflected in the HIS monitoring results, and the main causality of Yangsan Stream degradation was expansion of the urbanized area. In addition, there were significant relationships between the HIS scores and land coverage information. Therefore, it is necessary to prepare appropriate options in controlling or managing the expansion of the industrialized areas in this stream basin in order to improve the stream environment. For this purpose, ensemble utilization of HIS results, water quality, and geographical information, resulting in integration with remote sensing processes can be possible.