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Classifying Agricultural Districts for Prioritizing Groudwater Development Area based on Correlation and Cluster Analysis

가뭄 대응형 지하수 개발 우선순위 선정을 위한 농촌용수구역의 유형 분석

  • Oh, Yun-Gyeong (Institute of Agricultural Science & Technology, Chonnam National University) ;
  • Lee, Sang-Hyun (Research Institute for Humanity and Nature) ;
  • Kim, Ara (Department of Rural and Bio-systems Engineering, Chonnam National University) ;
  • Hong, Soun-Ouk (Jeonbuk Regional Headquater, Korea Rural Cooperation) ;
  • Yoo, Seung-Hwan (Department of Rural and Bio-systems Engineering, Chonnam National University)
  • 오윤경 (전남대학교 농업과학연구소) ;
  • 이상현 (일본 종합지구환경학연구소) ;
  • 김아라 (전남대학교 지역.바이오시스템공학과) ;
  • 홍순욱 (한국농어촌공사 전북지역본부) ;
  • 유승환 (전남대학교 지역.바이오시스템공학과)
  • Received : 2020.05.20
  • Accepted : 2020.05.29
  • Published : 2020.05.30

Abstract

In this study, we analyzed the characteristics of 511 agricultural districts through statistical data, and classify these districts as the vulnerable area to drought through correlation and cluster analysis. The criteria for classification was related to ground-water recharge, irrigation water demand, and water supply. As a result, 8 types of agricultural districts were extracted. For example, the type 1 indicated the high priority area for ground-water development, thus the districts which were classified as type 1 showed ground-water use was less than 80 % of maximum capacity, and irrigation water supply was only 37.5 % and 76.5 % of irrigation water demand in upland and paddy field, respectively. As a result, 44 of 511 districts were classified as type 1.36 districts (types 5-8) were areas where groundwater development is limited. The results of this study are expected to provide useful information for establishing the direction of the rural area development project in connection with the revitalization of policy of people return to rural area.

Keywords

References

  1. Cho, J., Hwang, S., Go, G., Kim, K.-Y., and J. Kim, 2015, Assessing the Climate Change Impacts on Agricultural Reservoirs using the SWAT model and CMIP5 GCMs, Journal of the Korean Society of Agricultural Engineers (KSAE), 57(5):1-12. (in Korean). https://doi.org/10.5389/KSAE.2015.57.5.001
  2. Chung, I.-M., Lee, J., Lee, J.E., and M.S. Kim, 2019, Method of estimating exploitable groundwater amount considering relationship between precipitation and recharge and the variation of 10-year minimum precipitation, Journal of Korea Water Resources Association, 52(6):421-427. (in Korean). https://doi.org/10.3741/JKWRA.2019.52.6.421
  3. Hyun, B.-K., Kim, M.-S., Eom, K.-C. Kang, K.-K. Yun, H.-B. and M.-C. Seo, 2003, Evaluation of Function of Upland Farming for Preventing Flood and Fostering Water Resources, Korean Journal of Soil Science and Fertilizer, 36(3):163-179. (in Korean).
  4. Jang, H., Kim, J.S., and Y.H. Kim, 2005, Characteristics of the nutrient concentration change in ground water of upland in a rural watershed, Proceeding of Korean Society of Agricultural Engineers, 281. (in Korean).
  5. Jung, Y.-S., Yang, J. E., Joo, Y.-K., Lee, J.-Y., Park, Y.-S., Choi, M.-H., and S.-C. Choi, 1997, Water quality of streams and agricultural wells related to different agricultural practices in small catchments of the Han river basin, Korean Journal of Environmental Agriculture, 16(2):199-205. (in Korean).
  6. Kim, B.S., Sung, J.H., Lee, B.H., and D.J. Kim, 2013, Evaluation on the impact of extreme droughts in South Korea using the SPEI and RCP8.5 climate change scenario, Journal of Korean Society of Hazard Mitigation, 13(2): 97-109. (In Korean) https://doi.org/10.9798/KOSHAM.2013.13.2.097
  7. Kim, G.-B., Hwang, C.-I., Shin, H.-J., and M.-R. Choi, 2019, Applicability of groundwater recharge rate estimation method based on artificial neural networks in unmeasured areas, Journal of the Geological Society of Korea. 55:693-701. (in Korean) https://doi.org/10.14770/jgsk.2019.55.6.693
  8. Korea Meteorological Administration(KMA), 2010, Understanding of climate change and application of climate change scenarios, National Institute of Meteorological Research. (in Korean)
  9. Korea Rural Community Corporation(KRC), 2016, A study on optimal groundwater supply system in agricultural watersheds considering main infrastructure under climate change environment(I). (In Korean)
  10. Koutroulis, A.G., Vrohidou, A.-E.K., and I.K. Tsanis, 2011, Spatiotemporal characteristics of meteorological drought for the island of Crete, J. Hydrometeorol 12(2):206-226. https://doi.org/10.1175/2010JHM1252.1
  11. Lee, T.S., Choi, J.Y., Yoo, S.H., Lee, S.H. and Y.G. Oh, 2012, Analyzing consumptive use of water and yields of paddy rice by climate change Journal of the Korean Society of Agricultural Engineers(KSAE), 54(1): 47-54. (in Korean). https://doi.org/10.5389/KSAE.2012.54.1.047
  12. MAFRA(Ministry of Agriculture, Food and Rural Affairs), 2014, Rural water use rationalization plan 2015-2024. (in Korean).
  13. MLTM(Ministry of Land, Transport and Maritime Affairs), 2012, Groundwater Management Plan (2012-2021). (in Korean).
  14. MOLIT(Ministry of Land, Infrastructure and Transport), 2015, Groundwater year book. (in Korean).
  15. NGIC(National Groundwater Information Center), https://www.gims.go.kr. Accessed 20 Sep. 2016 (in Korean)
  16. Oh, S., Shin, H., and S. Lim, 2019, Case study of groundwater shortage and overcome in the Agricultural complex, Proceeding of Korean Society of Agricultural Engineers, 281 (in Korean).
  17. Park, N.Y., Choi, J.Y., Yoo, S.H., and S.H. Lee, 2013, Assessment of anti-drought capacity for agricultural reservoirs using RCP Scenarios. Journal of the Korean Society of Agricultural Engineers(KSAE), 55(3): 13-24. (in Korean) https://doi.org/10.5389/KSAE.2013.55.3.013
  18. RAWRIS(Rural Agricultural Water Resource Information System) http://rawris.ekr.or.kr. Accessed 15 Sep. 2016 (in Korean)
  19. Roh, K. S., 2014, Statistical analysis of papers to know and write correctly SPSS & AMOS 21, Hanbit academy. (in Korean)
  20. Rossi, G., 2000, Drought mitigation measures: a comprehensive framework. In: Voght, J., Somma, F. (Eds.), Drought and Drought Mitigation in Europe, Kluwer Academic Publishers, 233-246.
  21. Wilhite, D.A., 2000, Drought as a natural hazard: Concepts and definitions. Drought: A Global Assessment, D.A. Wilhite, Ed., Routledge, 3-18.
  22. Yoo, S.H., Im, J.B., Choi, J.Y., and S.H. Lee, 2012, Estimation of the agricultural water and land requirement for substituting the import of feed-grain into domestic production, The Korean Society of International Agriculture (KSIA) 24(3): 259-264 (in Korean).