본문 바로가기
KERD
논문

ArcGIS Model Builder를 이용한 토양유실 우선관리 지역 선정 자동화 모형 개발

Development of Automatic Extraction Model of Soil Erosion Management Area using ArcGIS Model Builder

강현우|김익재|임경재|류지철|금동혁|최재완|공동수
한국농공학회 (The Korean Society Of Agricultural Engineers)|2011.01|한국농공학회논문집 (Journal of the Korean Society of Agricultural Engineers)|제53권 제1호|pp. 71-81

1

조회

0

다운로드

7

인용

0

참고문헌

키워드

USLEArcGISModel BuilderSediment; SoilLossSoil Erosion
주제분류농학

초록

Due to increased human activities and intensive rainfall events in a watershed, soil erosion and sediment transport have been hot issues in many areas of the world. To evaluate soil erosion problems spatially and temporarily, many computer models have been developed and evaluated over the years. However, it would not be reasonable to apply the model to a watershed if topography and environment are different to some degrees. Also, source codes of these models are not always public for modification. The ArcGIS model builder provides ease-of-use interface to develop model by linking several processes and input/output data together. In addition, it would be much easier to modify/enhance the model developed by others. Thus, simple model was developed to decide soil erosion hot spot areas using ArcGIS model builder tool in this study. This tool was applied to a watershed to evaluate model performance. It was found that sediment yield was estimated to be 13.7 ton/ha/yr at the most severe soil erosion hot spot area in the study watershed. As shown in this study, the ArcGIS model builder is an efficient tool to develop simple models without professional programming abilities. The model, developed in this study, is available at http://www.EnvSys.co.kr/~sateec/toolbox for free download. This tool can be easily modified for further enhancement with simple operations within ArcGIS model builder interface. Although very simple soil erosion and sediment yield were developed using model builder and applied to study watershed for soil erosion hot spot area in this study. The approaches shown in this study provides insights for model development and code sharing for the researchers in the related areas.

Abstract

Due to increased human activities and intensive rainfall events in a watershed, soil erosion and sediment transport have been hot issues in many areas of the world. To evaluate soil erosion problems spatially and temporarily, many computer models have been developed and evaluated over the years. However, it would not be reasonable to apply the model to a watershed if topography and environment are different to some degrees. Also, source codes of these models are not always public for modification. The ArcGIS model builder provides ease-of-use interface to develop model by linking several processes and input/output data together. In addition, it would be much easier to modify/enhance the model developed by others. Thus, simple model was developed to decide soil erosion hot spot areas using ArcGIS model builder tool in this study. This tool was applied to a watershed to evaluate model performance. It was found that sediment yield was estimated to be 13.7 ton/ha/yr at the most severe soil erosion hot spot area in the study watershed. As shown in this study, the ArcGIS model builder is an efficient tool to develop simple models without professional programming abilities. The model, developed in this study, is available at http://www.EnvSys.co.kr/~sateec/toolbox for free download. This tool can be easily modified for further enhancement with simple operations within ArcGIS model builder interface. Although very simple soil erosion and sediment yield were developed using model builder and applied to study watershed for soil erosion hot spot area in this study. The approaches shown in this study provides insights for model development and code sharing for the researchers in the related areas.

참고문헌 (36)

  1. Ahn, J. H., "Policy and research of advanced country for environmentally sound agriculture in highland", pp.240~ (2005), Rural Development Administration
  2. Arnold, J. G, "Integration of a BASIN-SCALE Water Quality Model with GIS", Journal of the American Water Resources Association, 30(3), pp.453~462 (1994)
  3. Boyce, R. C., "Sediment Routing with Sediment- Delivery Ratios. In Present and Prospective Technology for Predicting Sediment Yield and Sources", 40~ (1975)
  4. ESRI, "ArcGIS 9.3 Manual", ~ (2007)
  5. WEPP User Summary, "Flanagan, D. C", USDA-ARS National Soil Erosion Research Laboratory, ~, pp.Report No. 11 (1995)
  6. 허성구, "고랭지 농경지의 토양유실모의를 위한 SWAT 모형의 적용성 평가", 농촌계획, 11(4), pp.67~75 (2005), 한국농촌계획학회
  7. 장원석, "SWAT 모형을 이용한 볏짚매트의 토양유실 저감효과 분석", 한국농공학회논문집, 52(3), pp.97~104 (2010), 한국농공학회
  8. Jung, Y. S, "R and K Factors for an Application of RUSLE on the Slope Soils in Kangwon-Do, Korea", Journal of Korean Society of Soil Science and Fertilizer, 32(1), pp.31~38 (1999)
  9. Jung, P. K, "Discussion of Cropping Management Factor for Estimating Soil Loss", Journal of Korean Society of Soil Science and Fertilizer, 18(1), pp.7~13 (1984)
  10. Jung, Y. S, "Changes of Stream Water Quality and Loads of N and P from the Agricultural Watershed of the Yulmunchon Tributary of the Buk - Han River Basin", Journal of Korean Society of Soil Science and Fertilizer, 31(2), pp.170~176 (1998)
  11. 강현우, "걸리 침식 평가를 위한 SATEEC, nLS, USPED 연계 시스템의 개발 및 적용", 한국물환경학회지, 26(4), pp.637~647 (2010), 한국물환경학회
  12. Kim, N. W, "Development of Analysing System for Surface Water Hydrological Components: 21st Century Frontier R&D Program", Korea Institute of Construction Technology, ~ (2007)
  13. 임경재, "소유역의 효과적인 침식조절을 위한 유사평가 툴 (SATEEC)의 개발", 한국농공학회논문집, 45(5), pp.85~96 (2003), 한국농공학회
  14. Lim, K. J, "GIS-based sediment assessment tool", CATENA, ~ (2005)
  15. Lim, K. J, "Development of Genetic Algorithm-based Optimization Module in WHAT System for Hydrograph Analysis and Model Application", Computers & Geosciences, 36, pp.936~944 (2010)
  16. "Development of SWAT ArcView GIS Extension Patch. Kangwon National University GIS Environmental Systems Laboratory"[URL]
  17. Mangegold,J., "Using the Model Builder of ArcGIS 9 for Landscape Modeling. In Trends in Landscape Modeling", pp.240~245 (2003), Wichmann Verlag
  18. McCool, D. K, "Revised slope steepness factor for the universal soil loss equation", Transactions of the ASAE, 30, pp.1387~1396 (1987)
  19. Moore, I, "Physical Basis of the Length-Slope Factor in the Universal Soil Loss Equation", Soil Science Society of America Journal, 50, pp.1294~12983 (1986)
  20. Moore, I, "Modeling Erosion and Deposition: Topographic Effects", Transactions of the ASAE, 29(6), pp.1624~1640 (1986)
  21. Nam, G. W., "Development of GIS Construction Guide as Standards and Open Source Software Basis", pp.10~102 (2006), ministry of information & communication
  22. Park, C. S, "Monitoring of Non-point Pollutants from the Different Land Use in the Yulmunchon Tributary Watershed, the So-yang River Basin. Master's degree, Ind" (1999), Kangwon National University
  23. Park, Y. S, "Development of New R, C and SDR Modules for the SATEEC GIS System", Computers and Geoscience, 36, pp.726~734 (2010)
  24. Rhonda, M, "Building a Groundwater Protection Model", ESRI ArcUser, 54~59 (2004)
  25. Richard, E, "Predicting Post-Wildfire Watershed Runoff Using ArcGIS ModelBuilder", Esri Federal User Conference Proceedings 2006 (2006)
  26. Schaller, J, "ArcGIS processing models for regional environmental planning in Bavaria. In Planning Support System: Best Practice and new Methods", pp.243~264 (2009)
  27. Tarboton, D. G, "Rodriguez-Iturbe, 1991. On the Extraction of Channel Networks from Digital Elevation Data", Hydrologic Processes, 5(1), pp.81~100 (1991)
  28. USDA, "Sediment Source, Yields, and Delivery Ratios, National Engineering Handbook, Section 3 Sediment" (1972)
  29. Sedimentation Engineering, "Vanoni, V. A.", American Society of Civil Engineers, ~, pp.54 (1975)
  30. Williams, J.R, "Sediment routing for agricultural watersheds", Water Resources Bulletin, 11(5), pp.965~974 (1975)
  31. Williams,J.R., "Sediment Yield Prediction with Universal Equation using Runoff Energy Factor", In Present and Prospective Technology for Predicting Sediment Yield and Sources U.S Depatment of Agriculture, pp.244~252 (1975)
  32. Wischmeier, W. H, "Predicting rainfall erosion losses. A guide to conservation planning. The USDA Agricultural Handbook" (1978)
  33. Wischmeier, W. H., "Predicting rainfall erosion losses from cropland East of the Rocky Mountains. The USDA Agricultural Handbook" (1965)
  34. Yin, Z, "An analysis of the relationship between spatial patterns of water quality and urban development in Shanghai, China, Computers", Environment and Urban Systems, 29, pp.197~221 (2005)
  35. Yang, J. E., "The study for preparing countermeasure about reduction of muddy water in Han River Basin", Han River Basin Commission, ~ (2008)
  36. 유동선, "실측 경사장 및 경사도를 고려한 양구 해안면 유역의 유사량 평가", 한국물환경학회지, 24(5), pp.569~580 (2008), 한국물환경학회

관련 논문AI추천

월단위 토양유실가능성 추정을 위한 ArcGIS 기반의 모형 개발김기형, 김소연, 김은석, 김종건, 박윤식, 유나영, 이동준, 임경재, 한정호한국농공학회 · 한국농공학회논문집2017 · 제59권 제1호월단위 토양유실가능성 추정을 위해 개발된 ArcGIS 기반의 모형 적용김종건, 박윤식, 신민환, 유나영한국농공학회 · 한국농공학회논문집2017 · 제59권 제5호Development and Application of SATEEC L Module for Slope Length Adjustment Based on Topography Change강현우, 김기성, 김남원, 김종건, 박윤식, 옥용식, 임경재, Yun Ho Choi한국환경농학회 · 한국환경농학회지2009 · 제28권 제2호SWAT과 SATEEC 모형을 이용한 토양유실량 비교김기성, 김남원, 김종건, 박윤식, 박준호, 안재훈, 임경재, 허성구한국농공학회 · 한국농공학회논문집2008 · 제50권 제1호SATEEC L모듈을 이용하여 토양유실량 산정 정확성이 유사량 예측에 미치는 영향 평가김기성, 김남원, 김익재, 옥용식, 우원희, 임경재, 장원석, 전지홍한국농공학회 · 한국농공학회논문집2011 · 제53권 제2호GIS를 이용한 토양침식량 산정의 적용성 검토김기홍, 이환길건설환경연구소 · 청운대학교 건설환경연구소 논문집2013 · 제8권 제1호

이 간행물의 다른 논문 (8건)

네트워크 흐름의 속도에 따른 공간구조 변화이정재, 한이철, 이성우pp. 1-7네트워크 중심성 분석을 통한 고병원성 조류인플루엔자 확산 차단이형진, 이정재, 정남수, 문운경pp. 9-15유역외 보의 연계운영에 의한 유역배율이 작은 저수지의 유입량 확보 가능성노재경pp. 17-28고병원성 조류인플루엔자 (HPAI)의 에어로졸을 통한 공기 전파 예측을 위한 공기유동학적 확산 모델 연구J. P. Bitog, 권경석, 홍세운, 서일환, 이인복, 황현섭, 문운경, 김기연pp. 29-36SWAT 모형을 이용한 만대천 유역의 비점오염 예측과 초생대 수질 개선 효과 분석이지원, 엄재성, 김기성, 김범철, 강현우, 임경재, 장원석, 류지철pp. 37-45
원문 보기