Journal of Korean Society of Rural Planning (농촌계획)

Korean Society of Rural Planning (한국농촌계획학회)
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Change in Impervious Area Rate by Rural Water Districts using EGIS Land Cover Maps

EGIS 토지피복지도를 이용한 농어촌용수구역 불투수면적률 변화

  • Jang, Min-Won (Dept. of Agricultural Engineering.Institute of Agriculture & Life Sciences, Gyeongsang National University) ;
  • Kim, Hakkwan (Graduate School of International Agricultural Technology, Institutes of Green Bio Science and Technology, Seoul National University)
  • 장민원 (경상국립대학교 지역시스템공학과.농업생명과학연구원) ;
  • 김학관 (서울대학교 국제농업기술대학원, 서울대학교 그린바이오과학기술연구원)
  • Received : 2022.09.22
  • Accepted : 2022.10.27
  • Published : 2022.11.30
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Abstract

This study aimed to estimate the impervious area rate by rural water districts in 2009 and 2021 and analyze the changes. From the EGIS(Environmental Geographic Information Service) land cover maps, the impervious areas were defined as residential, commercial, industrial, culture·sports·recreational, traffic, public facilities, and greenhouses of land cover classes. For 496 rural water districts excluding the border area with North Korea, the nationwide impervious area rate increased from 5.96% in 2009 to 7.50% in 2021. The average of the top 50 rural water districts increased from 23.4% in 2009 to 27.1% in 2021. E ven for the bottom 50 rural water districts, the average impervious area rate rose from 1.12% in 2009 to 1.40% in 2021. Rural water districts with a high impervious area rate are mainly distributed in metro cities and industrial areas. The contraries are primarily found in Gangwon, Gyeongsang, and Jeolla regions covered with forests and farmlands. Notably, the impervious area rate changed more in the neighboring rural water districts than in large cities, and the rate kept increasing slightly even in rural areas with a low impervious area rate. The findings of this study will help prepare a reasonable alternative for managing the impermeable surface of rural areas for safe and sound rural water cycle.

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References

  1. Bae, D. H., J. Y. Lee, C. H. Ko, S. R. Ha, 2011, A Study on Empirical Method Analysis of Impervious Surface using KOMPSAT-2 Image, Journal of Environmental Impact Assessment, 20(5), 717-727.
  2. Choi, J. Y., 2014, A Research on Control Targets and Strategies for Impervious Surface Management, NIERSP2014-321, National Institute of Environmental Research (NIER), Incheon.
  3. Choi J. Y., S. H. Cho, 2013, A Study on the Survey and Improvement Scheme of Impermeable Area Ratio in Korea, Korea Environment Corporation(KEC), Incheon.
  4. Cho, W. J., G. S. Chae, J. Y. Choi, 2020, Reforming Agricultural Water Policy for Integrated Water Resources Management, Policy Research Report P264, Korea Rural Economic Institute(KREI), Naju.
  5. Hwang, H. C., Y. B. Go, 2007, An Analysis on the Structural Changes of Rural Land Use according to Urbanization, Rural Planning, 13(2), 85-92.
  6. Kang, H., Y. J. Hyun, S. M. Jun, 2019, Regional Estimation of Baseflow Index in Korea and Analysis of Baseflow Effects according to Urbanization. Journal of Korea Water Resources Association, 52(2), 97-105.
  7. Kim, K. H., 2015, The Improvement Plans for Levying the Sewerage Fee Considering Land Cover and Stormwater Runoff, Technologies for the Water Environmental Policy, 2013000200001, Ministry of Environment(MOE), Sejong.
  8. Kim, S. J., J. W. Lee, W. J. Kim, J. U. Kim, 2021, The Role of Agricultural Water in the Implementation of Integrated Water Resources Management, Water for future, 54(2), 13-23.
  9. Kim, Y. J., 2018, A Study on the Introduction and Operation of Water Cycle Management in Watersheds. Korea Environment Corporation(KEC), Incheon.
  10. Lee, C. Y., 2018, Development of a GIS based Impervious Surface Ratio Estimation Methodology for Evaluating Water Cycle Soundness, Ph.D Thesis, Inha University.
  11. Lee, E. J., H. K. Kim, S. W. Park, M. S. Kang, 2009, Assessment of the Impacts of the Impervious Surface Change in the Farm Region on Watershed Hydrology, Journal of the Korean Society of Agricultural Engineers, 51(6), 17-23. https://doi.org/10.5389/KSAE.2009.51.6.017
  12. Lee, J. W., J. Y. Park, C. G. Jung, S. J. Kim, 2019, Evaluation of Land Use Change Impact on Hydrology and Water Quality Health in Geum River Basin, Journal of the Korean Association of Geographic Information Studies, 22(2), 82-96.
  13. Moon, C. S., J. Y. Shim, S. B. Kim, S. Y. Lee, 2010, A Study on the Calculation Methods on the Ratio of Green Coverage using Satellite Images and Land Cover Maps, Rural Planning, 16(4), 53-60.
  14. Oh, S. K., K. H. Kim, C. Y. Lee, K. H. Ryu, 2015, A Study on Optimal Previous/Impervious Map Generation Model for Urban Impervious Surface Management based on GIS, Journal of Korean Society on Water Environment, 31(2), 120-133. https://doi.org/10.15681/KSWE.2015.31.2.120
  15. Park, J., S. Jang, R. Hong, K. Suh, I. Song, 2020, Development of Land Cover Classification Model using AI based FusionNet Network, Remote Sensing, 12, 3171.