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Construction of Database for Application of APEX Model in Korea and Evaluation of Applicability to Highland Field

APEX 모델의 국내 적용을 위한 데이터베이스 구축 및 고랭지 밭에 대한 적용성 평가

  • Koo, Ja-Young (Department of Regional Infrastructures Engineering, Kangwon National University) ;
  • Kim, Jonggun (Department of Regional Infrastructures Engineering, Kangwon National University) ;
  • Choi, Soon-Kun (Climate Change and Agroecology Division, National Institute of Agricultural Science) ;
  • Kim, Min-Kyeong (Climate Change and Agroecology Division, National Institute of Agricultural Science) ;
  • Jeong, Jaehak (Texas A&M AgriLife Research, Texas A&M University) ;
  • Lim, Kyoung Jae (Department of Regional Infrastructures Engineering, Kangwon National University)
  • Received : 2017.10.19
  • Accepted : 2017.10.24
  • Published : 2017.11.30

Abstract

The Agricultural Policy/Environmental eXtender (APEX) model was developed to extend EPIC's capabilities of simulating land management impacts for small-medium watershed and heterogeneous farms. APEX is a flexible and dynamic tool that is capable of simulating a wide array of management practices, cropping systems, and other land uses across a broad range of agricultural landscapes. APEX have its own agricultural environmental database including operation schedule, soil property, and weather data etc., by crops. However, agriculture environmental informations the APEX model has is all based on U.S. As this can cause malfunction or improper simulation while simulating highland field. In this study, database for APEX model to be utilized for South Korea established with 44,814 agriculture fields in Pyeongchang-gun, Korea from 2007 to 2016. And assessed domestic applicability by comparing T-P unit load criteria presented by National Institution of Environmental Research and result of APEX model. As a result of APEX model simulation, average T-P value for decade was 6.18. Average T-P of every year except 2011 was in range of 5.37~10.43 and this is being involved into criteria presented by National Institution of Environmental Research. It is analyzed that adjusting slope factor can make the model applicable for domestic agricultural environment.

Keywords

References

  1. Bicknell, B. R., J. C. Imhoff, J. L. Kittle, A. S. Donigian, and R. C. Johanson, 1997. Hydrological Simulation Program-FORTRAN, User's Manual for Release 11. EPA 600/R-97/080. Athens, GA: United States Environmental Protection Agency.
  2. Choi, S. C., M. K. Kim, K. H. So, and T. I. Jang, 2016. Application of APEX-PADDY Model Considering Rice Cultivation Environment, Rural resource 58(2): 23-27 (in Korean).
  3. Choi, J. Y., 2007. Study on the Establishment of Designation Criteria for Nonpoint Pollution Source Management Area, Ministry of Environment (in Korean).
  4. Korea Agency of Education, Promotion and Information Service in Food, Agriculture, Forestry and Fisheries, Http://www.epis.or.kr. Accessed 22 August 2017.
  5. Korea Agency of Education, Promotion and Information Service in Food, Agriculture, Forestry and Fisheries, 2015. Smart Farm Map Construction Plan, Sejong: Korea Agency of Education, Promotion and Information Service in Food, Agriculture, Forestry and Fisheries (in Korean).
  6. Kim, M. K., S. K. Choi, G. B. Jung, M. H. Kim, S. C. Hong, K. H. So, and J. H. Jeong, 2014. APEX (Agricultural Policy/ Environmental eXtender) Model - An Emerging Tool for Agricultural Environmental Analyses, Korean Journal of Soil Science and Fertilizer 47(3): 187-190 (in Korean). https://doi.org/10.7745/KJSSF.2014.47.3.187
  7. Kim, M. K., S. I. Kwon, G. B. Jung, S. C. Hong, M. J. Choi, S. G. Yun, and K. H. So, 2013. Small-Scale Pond Effects on Reducing Pollutants Load from a Paddy Field, Korean Journal of Environmental Agriculture 32(4): 355-358 (in Korean). https://doi.org/10.5338/KJEA.2013.32.4.355
  8. Knisel, W. G., 1980. CREAMS, A Field Scale Model for Chemicals, Runoff, and Erosion from Agricultural Management Systems, U.S. Department of Agriculture. Conservation Research Report 26.
  9. Koo, J. Y., D. S. Yoon, D. J. Lee, J. H. Han, Y. H. Jung, J. E. Yang, and K. J. Lim, 2016. Effect of DEM Resolution in USLE LS Factor, Journal of Korean Society on Water Environment 32(1): 89-97 (in Korean). https://doi.org/10.15681/KSWE.2016.32.1.89
  10. Korea Environment and Resources Corporation, 1996. Study on Compost-related Legislation and Product Standardization. (in Korean)
  11. Korea Meteorological Administration, Http://www.kma.go.kr. Accessed 6 September 2017.
  12. Lee, S. H., I. H. Heo, K. M. Lee, S. Y. Kim, Y. S. Lee, and W. T. Kwon, 2008. Impacts of Climate Change on Phenology and Growth of Crops: In the Case of Naju, Journal of the Korean Geographical Society 43(1): 20-35 (in Korean).
  13. Leonard, R. A., W. G. Knisel, and D. A. Still, 1987. GLEAMS: Groundwater Loading Effects on Agricultural Management Systems, Transations of the ASAE 30(5): 1403-1418. https://doi.org/10.13031/2013.30578
  14. Ministry of Environment, 2007. Management Measures of Nonpoint Source Pollutants in the Watershed of Lake Soyang, Ministry of Environment (in Korean).
  15. Ministry of Environment, 2016. Monitoring and Evaluation of NPS Pollution Priority Management Region of Lake Doam (VIII), Wonju, Kangwon: Ministry of Environment (in Korean).
  16. National Institute of Agricultural Sciences, Http://soil.rda.go.kr. Accessed 1 October 2017a.
  17. National Institute of Agricultural Sciences, Http://www.nongsaro.go.kr. Accessed 30 August 2017b.
  18. National Institute of Environmental Research, 2010. Study on Application Method of Watershed Management Model for Total Water Polution Load Control -Revision of Technical Guidelines for Total Pollution Control-, Incheon: National Institute of Environmental Research (in Korean).
  19. National Institute of Environmental Research, 2012. Development of a Reduction Effect Model for BMP Application, Incheon: National Institute of Environmental Research (in Korean).
  20. National Institute of Environmental Research, 2014. Improvement of Unit Cost of Nonpoint Source, Incheon: National Institute of Environmental Research (in Korean).
  21. National Institute of Environmental Research, 2015. A Monitoring and Management Scheme for the Non-Point Sources (III), National Institute of Environmental Reseach (in Korean).
  22. Park, C. S., S. K. Lee, and Y. C. Suh, 2007. Development of an Automatic Generation Methodology for Digital Map, Journal of the Korean Association of Geographic Information Studies 10(3): 113-122 (in Korean).
  23. Putman, J., J. Williams, and D. Sawyer, 1988. Using the Erosion Productivity Calculator (EPIC) Model to Estimate the Impact of Soil Erosion for the 1985 RCA Appraisal, Journal of Soil and Water Conservation 43(4): 321-326.
  24. Ryu, J. C., 2016. Development and Evaluation of ArcGIS-based watershed-scale Long-term Hydrologic Impact Assessment (L-THIA) ACN-WQ system. Ph.D. diss., Kangwon, Ind.:Kangwon University.
  25. Srinivasan, R. and J. G. Arnold, 1994. Integration of a Basinscale Water Quality Model with GIS, Journal of the American Water Resources Association 30(3): 453-462. https://doi.org/10.1111/j.1752-1688.1994.tb03304.x
  26. Statistics Korea, Http://kosis.kr.
  27. Steglich, E. M. and J. W. Williams, 2013. Agricultural policy/ Environmental eXtender Model User's Manual, AgriLife Research Texas A&M System, Temple, Texas.
  28. Sharpley, A. N. and J. R. Williams, 1990. EPIC--Erosion/ Productivity Impact Calculator: 1.Model Documentation, United States Depart of Agriculture. Technical Bulletin 1768.
  29. Williams, J. R., 1995. The EPIC Model. pp 909-1000 In V.P. Singh, Computer models of watershed hydrology, Water Resources Publications, Highlands Ranch, CO.]
  30. Williams, J. R. and R. C. Izaurralde, 2005. The APEX Model. In:Watershed Models, V. P. Singh and D. K. Frevert editors, Chapter 18: 437-482. CRC Press, Taylor & Francis Group, Boca Raton, FL.
  31. Williams, J. R., R. C. Izaurralde, and E. M. Steglich, 2012. Agricultural Policy/Environmental eXtender Model Theoretical Documentation, Agrilife Research Texas A&M System. Temple, Texas.
  32. Williams, J. R, C. A. Jones, and P. T. Dyke, 1984. A Modeling Approach to Determining the Relationship between Erosion and Soil Productivity, Transactions of the ASAE 27: 129-144. https://doi.org/10.13031/2013.32748
  33. Williams, J. R., A. D. Nicks, and J. G. Arnold, 1985. SWRRB, A Simulator for Water Resources in Rural Basins, Journal of Hydraulic Engineering 111(6): 970-986. https://doi.org/10.1061/(ASCE)0733-9429(1985)111:6(970)