Browse > Article

Evaluation of GIS-based Soil Loss Amount in Considering Basin Characteristics  

Guak Dong-Wook (전북대학교 토목공학과)
Cho Gi-Sung (전북대학교 토목공학과)
Publication Information
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography / v.24, no.1, 2006 , pp. 89-97 More about this Journal
Abstract
Soil erosion has caused serious environmental problems which threaten the foundation of natural resources. In this paper, we chose RUSLE erosion model, which could be connected easily with GSIS and available generally in mid-scale watershed among soil erosion models, and extracted factors entered model by using GSIS spatial analysis method. First, this study used GIS database as soil map, DEM, land cover map and rainfall data of typhoon Memi (2003) to analyze soil loss amount of Dam basin. To analyze the changes of soil loss in considering basin characteristics as up-, mid- and downstream, this study calculated soil erodibility factor (K), topographic factors (LS), and cover management factor (C). As a result of analysis, K and LS factors of upstream showed much higher than those of downstream because of the high ratio of forest. But C factor of downstream showed much higher than that of upstream because of the high ratio of agricultural area. As a result of analysis of soil loss, unit soil loss of upstream is 4.3 times than soil loss of downstream. Therefore, the establishment of countermeasures for upstream is more efficient to reduce soil loss.
Keywords
Soil loss; Basin characteristics; RUSLE;
Citations & Related Records

Times Cited By SCOPUS : 0
연도 인용수 순위
  • Reference
1 한국수자원공사 (2004), 임하댐 탁수저감방안 수립
2 Hudson, N. (1977), Soil Conservation, Ithaca : Cornell University Press
3 현병근, 검무성, 엄기철, 강기경, 윤홍배, 서명철, 성기석 (2002), USLE 모형과 대체법을 이용한 밭농사의 토양유실 저감기능 계량화 평가, 한국토양비료학회지, 한국토양비료학회, 제35권, 제 6호, pp. 361-371
4 장영률, 이근상, 조기성 (2002), GIS 기반에서 토양침식의 정량화를 위한 해상도 결정에 관한 연구, 한국GIS학회지, 한국GIS학회, 제10권, 제2호, pp. 301-316
5 Nearing, M. A. (1997), A single, continuous function for slope steepness influence on soil loss, Soil Science Society of America Journal 61(3), pp. 917-919   DOI   ScienceOn
6 정필균, 고문환, 임정남, 임기태, 최대웅 (1983), 토양유실량 예측을 위한 강우인자의 분석, 한국토양비료학회지, 한국토양비료학회, 제16권, 제2호 pp. 112-118
7 박경훈 (2003), GIS 및 RUSLE 기법을 활용한 금호강 유역의 토양침식위험도 평가, 한국지리정보학회지, 한국지리정보학회, 제6권, 제4호 pp. 24-36
8 신계종 (1999), 지형공간정보체계를 이용한 유역의 토양유실분석, 박사학위논문, 강원대학교
9 Andrew A. Millward (1998), Mapping and Modelling Soil Erosion Potential in the Sierra De Manantlan Biosphere Reserve, Mexico, A thesis Presented to The Faculty of Graduate Studies of The University of Guelph
10 환경부 (2005), 인공위성 영상자료를 이용한 토지피복지도 구축
11 Erickson, A.J. (1997), Aids for estimating soil erodibility - K value class and soil loss tolerance, U.S. Department of Agriculture, Soil Conservation Service, Salt Lake City of Utah
12 한국수자원공사 (2003), 안동다목적댐 관리연보
13 이환주, 김환기 (2001), GSIS 공간분석을 활용한 토양침식모형의 입력인자 추출에 관한 연구. 한국측량학회지, 한국측량학회, 제19권, 제1호, pp. 27-37
14 Wischmeier, W. H. and D. D. Smith (1978), Predicting Rainfall Erosion Losses - A Guide to Conservation, Agricultural Handbook, United States Department of Agriculture, Washington DC
15 Desmet, P.J., Govers, G. (1996), Comparison of routing algorithms for digital elevation models and their implications for predicting ephemeral gullies, International Journal of Geographic Information Systems, Vol. 10, No. 3, pp. 311-331   DOI   ScienceOn