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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

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주제분류농학

초록

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

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

참고문헌 (23)

  1. Arnold, J. G., "Integration of a BASINcale water quality model with GIS", Journal of the American Water Resources Association, 30, pp.453~462 (1994)
  2. Ashkar, F., "Fitting the log-logistic distribution be generalized moments", Journal of Hydrology, 328, pp.694~703 (2006)
  3. 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", American Meteorological Society, 26, pp.6859~6881 (2013)
  4. El-Hassanin, A. S., "Effect of vegetation cover and land slope on runoff and soil losses from the watersheds of Burundi. Agriculture", Ecosystems &Environment, 43, pp.301~308 (1993)
  5. USDA–Water Erosion Prediction Project: Hillslope profile and watershed model documentation, "Flanagan, D. C.", USDA–ARS National Soil Erosion Research Lab, 298~, pp.NSERL Report No. 10 (1995)
  6. Holland, J. H., "Adaptation in natural and artificial systems" (1975), University of Michigan Press
  7. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change;Summary for Policymakers, "Intergovern-mental Panel on Climate Change", Cambridge University Press, 104~ (2007)
  8. 장원석, "Development of the SWAT DWDM for Accurate Estimation of Soil Erosion from an Agricultural field", 한국농공학회논문집, 52(1), pp.79~88 (2010), 한국농공학회
  9. 장원석, "SWAT 모형을 이용한 볏짚매트의 토양유실 저감효과 분석", 한국농공학회논문집, 52(3), pp.97~104 (2010), 한국농공학회
  10. 전지홍, "HSPF를 이용한 임하호 유역 유사량 모의", 한국농공학회논문집, 52(6), pp.39~48 (2010), 한국농공학회
  11. 금동혁, "ArcGIS Model Builder를 이용한 토양유실 우선관리 지역 선정 자동화 모형 개발", 한국농공학회논문집, 53(1), pp.71~81 (2011), 한국농공학회
  12. 이지민, "미래 기후변화에 따른 급경사지 유역에서의 지하수 함양, 기저유출 및토양유실 평가", 한국습지학회지, 16(2), pp.173~185 (2014), 한국습지학회
  13. Lim, K. J., "GIS-based sediment assessment tool", CATENA, 64, pp.61~80 (2005)
  14. Morgan, R. P. C., "The European Soil Erosion Model (EUROSEM):a dynamic approach for predicting sediment transport from fields and small catchments", Earth Surface Processes and Landforms, 23, pp.527~544 (1998)
  15. USDA-Water erosion prediction project: Hillslope profile model document; USDARS National Soil Erosion Research Laboratory, "Nicks, A. D., L.", USDARS National Soil Erosion Research Laboratory, ~ (1989)
  16. Park, Y. S., "A web-based model to estimate the impact of best management practices", Water, 6, pp.455~471 (2014)
  17. 박윤식, "임하댐 유역의 유사 거동 모의를 위한 SWAT 모델의 적용성 평가", 한국물환경학회지, 23(4), pp.467~473 (2007), 한국물환경학회
  18. 박윤식, "SWAT과 SATEEC 모형을 이용한 토양유실량 비교", 한국농공학회논문집, 50(1), pp.3~12 (2008), 한국농공학회
  19. Tetra Tech, Inc., "User’s guide spreadsheet tool for the estimation of pollutant load (STEPL) version 4.1. Fairfax", ~ (2011)
  20. Togan, V., "An improved genetic algorithm with initial popluation strategy and self-adaptive member grouping", Computers and Structures, 86, pp.1204~1218 (2008)
  21. Watanabe, S., "MICRO-ESM: model description and basic results of CMIP5-20c3m experiments", Geoscientific Model Development Discussions, 4, pp.1063~1128 (2011)
  22. Predicting Rainfall Erosion Losses. A Guide to Conservation Planning, "Wischmeier, W. H.", US Department of Agriculture, General Publishing Office, 85~, pp.The USDA Agricultural Handbook No. 537 (1978)
  23. 이혜숙, "HSPF를 활용한 임하댐 유역의 탁수 예측모델 구축", 대한환경공학회지, 30(8), pp.760~767 (2008), 대한환경공학회

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