• 한국수자원학회논문집
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• 제31권2호
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• pp.199-208
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• 1998

유역의 지형특성에 근거를 두고 유출기여면적의 변화를 고려한 분포형 모형인 TOPMODEL을 이용하여 홍수유출해석에 대한 적용성을 연구하였다. 건설교통부에서 설치운영중인 위천대표시험유역의 소유역인 동곡 및 고로지점을 분석대상유역으로 선정하였으며, 1/25,000 지형도를 이용하여 수치고도지도를 작성하였고 지형인자분석은 지리정보 시스템 도구인 Arc/Info를 이용하였다. 두 소유역의 지형상수가 서로 비슷하였고 각 연도별 동일호우사상에 대한 모형매개변수도 서로 유사한 특성을 나타내었다. TOPMODEL을 이용한 홍수유출에 대한 첨두유량의 모의 결과는 관측치와 비교할 때 그 재현성이 매우 우수하였다. 격자의 크기별로 유역을 분할하고 그에 따른 첨두유량과 발생시각의 변화를 동곡소유역은 100,120,240m, 고로유역은 120,200,360m 격자로서 분석한 결과 두 유역 모두 격자 크기의 증가에 따라 첨두유량은 증가하고 발생시각은 격자의 크기와 관계없이 일정한 것으로 나타났다.

• 한국조경학회지
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• 제28권6호
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• pp.114-126
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• 2001

The purpose of this study is to establish the databases of pollutant sources and water quality measurement data by utilizing GIS, and making the user interface for the management of pollutant sources. Yeongsan Estuarine Lake was formed of a huge levee of 4.35 km constructed by an agricultural reclamation project. Water quality of the reservoir has been degraded gradually, which mainly attributes to increase of point and non-point source pollutant loads from the lake's watershed of 33,374.3 $\textrm{km}^2$ into it. Application of GIS to establishment of the database was researched of pint source such as domestic sewage, industrial wastewater, farm wastes, and fishery wastes, and non-pont source such as residence, rice and upland field, and forest runoffs of the watershed of the lake. NT Acr/Info and ArcView were mainly utilized for the database formation. Land use of the watershed using LANDSAT image data was analyzed for non-point source pollutant load estimation. Pollutant loads from the watershed into the reservoir were calculated using the GIS database and BOD, TN, TP load units of point and non-point sources. Total BOD, TN, TP loads into it reached approximately to 141, 715, 2,094 and 4,743 kg/day respectively. The loads can be used as input parameters for water quality predicting model of it. A user-friendly interface program was developed using Dialog Designer and Avenue Script of AcrView, which can perform spatial analysis of point and non-point sources, calculate pollutant inputs from the sources, update attribute data of them, delete and add point sources, identify locations and volumes of water treatment facilities, and examine water quality data of water sampling points.