Browse > Article

The Analysis of GIS DB for the Evaluation of Turbid Water Considering Spatial Characteristics of River Channel  

Park Jin-Hyeog (한국수자원공사 수자원연구원)
Lee Geun-Sang (한국수자원공사 수자원연구원)
Publication Information
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography / v.24, no.1, 2006 , pp. 19-26 More about this Journal
Abstract
Andong and Imha reservoir adjoins each other, but turbid water shows too much different when it rains. The characteristics of geological rock in basin and agricultural area around river boundary are pointed out as the major reason of turbid water of Imha reservoir. This study analyzed rock type of topsoil layer using soil map by National Institute of Agricultural Science and Technology (NIAST). Among rock types, sedimentary rock affects on the occurrence of turbid water. In the analysis of sedimentary rock type, the distribution of sedimentary rock of Imha basin shows 1.87 times higher than that of Andong basin. Also, the distribution of sedimentary rock of Imha basin shows higher than that of Andong basin within 1,600m from river channel in according to the buffer zone of river boundary. And Agricultural area of Imha basin shows higher than that of Andong basin in analysis of land cover within 1,600 m from river channel. As this agricultural characteristics of Imha basin, cover management factor of Imha basin represents more higher that that of Andong basin.
Keywords
Turbid water; Making decision; Geological Rock; Land cover;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
Times Cited By SCOPUS : 0
연도 인용수 순위
1 한국수자원공사 (2004), 임하댐 담수저감방안 수립, 연구보고서, pp. 279-426
2 Dissmeyer, G.. E. and Foster, G.R. (1981), Estimating the cover management factor in the USLE for forest conditions, Journal of Soil and Water Conservation, Vol. 36, No. 4, pp. 235-240
3 환경부 (2005), 인공위성영상 자료를 이용한 토지피복도 구축, 연구보고서, pp. 11-39
4 김용보 (2005), 탁도에 따른 Echo Sounder 관측 한계분석, 한국측량학회지, 제23권, 제2호, pp. 197-204   과학기술학회마을
5 이근상, 조기성 (2004), 탁수자료를 이용한 GIS기반의 토사유실량 평가, 한국지형공간정보학회지, 제12권, 제4호 pp. 75-81
6 Fernandez, C, Wu, J.Q., McCool, D.K. and Stockle, CO. (2003), Estimating water erosion and sediment yield with GIS, RUSLE, and SEDD, Journal of Soil Water Conservation, Vol. 58, pp. 128-136
7 Angima, S.D., Stott, D.E., O'Neill, M.K., Ong, C.K.. and Weesies, G.A. (2003), Soil erosion prediction using RUSLE for central Kenyan highland conditions, Agriculture Ecosystems & Environment, Vol. 97, pp. 295-308   DOI   ScienceOn
8 신희순, 선우춘, 이두화 (2004), 지질조사 및 암반분류, 구미서관, pp. 8-31
9 이근상, 박진혁, 황의호, 고덕구 (2004), GIS 기반 토사유실모델을 이용한 저수지 사면의 토사유실 영향분석, 한국지리정보학회지, 제7권, 제 3호, pp. 108-117
10 Ng, C.W.W., Guan, P. and Shang, Y.J. (2001), Weathering mechanisms and indices of the igneous rocks of Hong Kong, Journal of Engineering Geology and Hydrogeology, Geological Society, Vol. 34, pp. 133-151   DOI   ScienceOn
11 박경훈 (2003), GIS 및 RUSLE 기법을 활용한 금호강 유역의 토양침식 위험도 평가, 한국지리정보학회지, 제6권 제4호, pp. 24-36
12 King, C, Baghdadi, N., Lecomte, V. and Cerdan, O. (2005), The application of remote-sensing data to monitoring and modelling of soil erosion, CATENA, Vol. 62, pp. 79-93   DOI   ScienceOn
13 이용곤, 고덕구, 민병환, 황재충 (2005), 강우와 저수지 탁도변화, 대한토목학회 학술발표회 논문집, pp. 2406-2409
14 Gamba, P. and Houshmand, B. (2001), An efficient neural classification chain of SAR and optical urban images, International Journal of Remote Sensing, Vol. 22, No. 8, pp. 1535-1553   DOI
15 Gilley, J.E., Finkner, S.C., Spomer, R.G. and Mielke, L.N. (1986), Runoff and erosion as affected by crop, Transactions of the American Association of Agricultural Engineers, Vol. 29, No. 1, pp. 157-160   DOI
16 Hung, M.C. and Ridd, M.K. (2002), A subpixel classifier for urban land cover mapping based on a maximum likelihood approach and expert system rules, Photogrammetric Engineering and Remote Sensing, Vol. 68, No. 11, pp. 1173-1180
17 환경부 (2002), 인공위성영상 자료를 이용한 토지피복도 구축, 연구보고서, pp. 9-83