STEPL WEB 모형을 이용한 농촌지역 비점오염원저감 대책 모의 = Simulation of the Best Management Practice Impacts on Nonpoint Source Pollutant Reduction in Agricultural Area using STEPL WEB Model

다국어 초록 (Multilingual Abstract)

Sediment-laden water is problematic in aquatic ecosystem and for hydraulic structures in a watershed, and agriculture area in a watershed is one of source areas of nonpoint source (NPS), since soil surface typically exposures due to agricultural activities. Especially, severe sediment might flow into stream when agricultural area is located near stream like the Imha-dam watershed. Soil erosion is affected by precipitation, therefore there is a need to consider precipitation characteristics in soil erosion and best management practices (BMPs) simulation. The Web-based Spreadsheet Tool for the Estimation of Pollutant Load (STEPL WEB) allows estimating long-term sediment loads and the impact of best management practices to reduce sediment loads. STEPL WEB and predicted precipitation data by MIROC-ESM model was used to estimate sediment loads and its reduction by filter strip and conversion of agricultural area to forest in the future 30 years. The result indicates that approximately 70 % of agricultural area requires filter strip installation or that approximately 50 % of agricultural area needs to be converted to forest, for 41 % of sediment load reduction.

참고문헌 (Reference)

1 박윤식, "임하댐 유역의 유사 거동 모의를 위한 SWAT 모델의 적용성 평가" 한국물환경학회 23 (23): 467-473, 2007

2 이지민, "미래 기후변화에 따른 급경사지 유역에서의 지하수 함양, 기저유출 및토양유실 평가" 한국습지학회 16 (16): 173-185, 2014

3 Tetra Tech, Inc., "User’s guide spreadsheet tool for the estimation of pollutant load (STEPL) version 4.1. Fairfax"

4 Flanagan, D. C., "USDA–Water Erosion Prediction Project: Hillslope profile and watershed model documentation" USDA–ARS National Soil Erosion Research Lab 298-, 1995

5 Nicks, A. D., L., "USDA-Water erosion prediction project: Hillslope profile model document; USDARS National Soil Erosion Research Laboratory" USDARS National Soil Erosion Research Laboratory 1989

6 Morgan, R. P. C., "The European Soil Erosion Model (EUROSEM):a dynamic approach for predicting sediment transport from fields and small catchments" 23 : 527-544, 1998

7 박윤식, "SWAT과 SATEEC 모형을 이용한 토양유실량 비교" 한국농공학회 50 (50): 3-12, 2008

8 장원석, "SWAT 모형을 이용한 볏짚매트의 토양유실 저감효과 분석" 한국농공학회 52 (52): 97-104, 2010

9 Wischmeier, W. H., "Predicting Rainfall Erosion Losses. A Guide to Conservation Planning" US Department of Agriculture, General Publishing Office 85-, 1978

10 Watanabe, S., "MICRO-ESM: model description and basic results of CMIP5-20c3m experiments" 4 : 1063-1128, 2011

11 Arnold, J. G., "Integration of a BASINcale water quality model with GIS" 30 : 453-462, 1994

12 이혜숙, "HSPF를 활용한 임하댐 유역의 탁수 예측모델 구축" 대한환경공학회 30 (30): 760-767, 2008

13 전지홍, "HSPF를 이용한 임하호 유역 유사량 모의" 한국농공학회 52 (52): 39-48, 2010

14 Lim, K. J., "GIS-based sediment assessment tool" 64 : 61-80, 2005

15 Ashkar, F., "Fitting the log-logistic distribution be generalized moments" 328 : 694-703, 2006

16 El-Hassanin, A. S., "Effect of vegetation cover and land slope on runoff and soil losses from the watersheds of Burundi. Agriculture" 43 : 301-308, 1993

17 Brovkin, V., "Effect of anthropogenic land-use and land-cover changes on climate and land carbon storages in CMIP5 projections for the twenty-first century" 26 : 6859-6881, 2013

18 장원석, "Development of the SWAT DWDM for Accurate Estimation of Soil Erosion from an Agricultural field" 한국농공학회 52 (52): 79-88, 2010

19 Intergovern-mental Panel on Climate Change, "Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change;Summary for Policymakers" Cambridge University Press 104-, 2007

20 금동혁, "ArcGIS Model Builder를 이용한 토양유실 우선관리 지역 선정 자동화 모형 개발" 한국농공학회 53 (53): 71-81, 2011

21 Togan, V., "An improved genetic algorithm with initial popluation strategy and self-adaptive member grouping" 86 : 1204-1218, 2008

22 Holland, J. H., "Adaptation in natural and artificial systems" University of Michigan Press 1975

23 Park, Y. S., "A web-based model to estimate the impact of best management practices" 6 : 455-471, 2014