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Spatial prioritization of permeable pavement considering multiple general circulation models: Mokgamcheon watershed

다수의 전지구모형을 고려한 투수성 포장시설의 우선지역 선정: 목감천 유역

  • Song, Younghoon (Department of Civil Engineering, Seoul National University of Science and Technology) ;
  • Chung, Eun-Sung (Department of Civil Engineering, Seoul National University of Science and Technology)
  • 송영훈 (서울과학기술대학교 건설시스템공학과) ;
  • 정은성 (서울과학기술대학교 건설시스템공학과)
  • Received : 2019.10.11
  • Accepted : 2019.11.21
  • Published : 2019.12.31

Abstract

Rapid urbanization increases the risk of hydrologic disasters due to the increase of impervious areas in urban areas. Precipitation characteristics can be transformed due to the rise of global temperatures. Thus urban areas with the increased impervious areas are more exposed to hydrological disasters than ever before. Therefore, low impact development practices have been widely installed to rehabilitate the distorted hydrologic cycle in the urban area. This study used the Stormwater Management Model to analyze the water quantity and quality of the Mokgamcheon which had been severely urbanized, considering future climate scenarios presented by various general circulation models (GCMs). In addition the effectiveness of permeable pavement by 27 sub-watersheds was simulated in terms of water quantity and quality considering various GCMs and then the priorities of sub-watersheds were derived using an alternative valuation index which uses the pressure-state-response framework.

도시화가 급속도로 진행되면 불투수 면적 비율이 증가하여 도시 지역의 재해위험도가 증가한다. 또한 전 지구적 기온 상승으로 인하여 강수량이 급격하게 변화하고 있으므로, 불투수 면적이 증가한 도시 지역들은 전보다 수문학적 재해에 더 노출되어 있다. 위와 같은 문제점을 해결하기 위해 저영향개발(Low Impact Development, LID) 시설이 폭넓게 설치되고 있다. 본 연구에서는 다양한 전지구모형에서 제시하는 미래기후 시나리오를 고려하여 도시화가 급격하게 진행된 목감천 유역을 대상으로 Storm Water Management Model (SWMM)을 사용하여 전망 기간(2011년-2100년)의 수량 및 수질에 대하여 분석하였다. 또한 물순환 개선 시설 중 투수성 포장(Permeable Pavement)을 소유역별로 적용하여 수량 및 수질 측면에서 효율을 분석하였으며 사회, 경제적 인자들도 반영하여 대안평가지수(Alternative Evaluation Index, AEI)를 적용하였다. 이를 토대로 목감천 유역의 27개 소유역에 대해 투수성 포장 시설의 우선순위를 제시하였다.

Keywords

References

  1. Al-Abadi, A.M., and Shahid, S. (2016). "Spatial mapping of artesian zone at Iraqi southern desert using a GIS-based random forest machine learning model." Modeling Earth Systems and Environment, Vol. 2, No. 96, pp. 1-17.
  2. Bae, C.Y., Park, C., Kil, S.H., Choi, I.K., and Lee, D.K. (2012). "Analysis of urban runoff with LID application -focused on green roofs and permeable paver." Journal of Korea Planning Association, Vol. 47, No. 6, pp. 39-47.
  3. Bae, D.H., Jung, I.W., Lee, B.J., and Lee, M.H. (2011). "Future Korean water resources projection considering uncertainty of GCMs and hydrological model." Journal of Korea Water Resource Association, KWRA, Vol. 44, No. 5, pp. 389-406. https://doi.org/10.3741/JKWRA.2011.44.5.389
  4. Bedan, E.S., and Clausen, J.C. (2009). "Stormwater runoff quality and quantity from traditional and low impact development watersheds." Journal of the American Water Resources Association, JAWRA, Vol. 45, No. 4, pp. 998-1008. https://doi.org/10.1111/j.1752-1688.2009.00342.x
  5. Chung, E.S., and Lee, K.S. (2009). "Identification of spatial ranking of hydrological vulnerability using multi-criteria decision making techniques: case of Korea." Water Resources Management, Vol. 23, No. 12, pp. 2395-2416. https://doi.org/10.1007/s11269-008-9387-9
  6. Chung, E.S., Hong, W.P., Lee, K.S., and Brian, S.J. (2011). "Integrated use of a continuous simulation model and multiattribute decision-making for ranking urban watershed management alternatives." Water Resources Management, Vol. 25, No. 2, pp. 641-659. https://doi.org/10.1007/s11269-010-9718-5
  7. Dalziel, T., and Cloak, D. (2006). "Simplified lowimpact development design for compliance with stormwater treatment requirements." California Association of Stormwater Quality Agencies-Annual Conference, October 3-5.
  8. Damodaram, C., Giacomoni, M.H., Khedun, C.P., Holmes, H., Ryan, A., Saour, W., and Zechman, E.M. (2010). "Simulation of combined best management practices and low impact development for sustainable stormwater management." Journal of the American Water Resources Association, Vol. 46, No. 5, pp. 907-918. https://doi.org/10.1111/j.1752-1688.2010.00462.x
  9. Ferguson, B.K. (2005). Porous pavements. CRC Press, Boca Raton, Florida, ISBN 9780849326707.
  10. Hong, W.P., Chung, E.S., Lee, K.S., and Burian, S.J. (2011). "Integrated use of a continuous simulation model and multi-attribute decision making for ranking urban watershed management alternatives." Water Resources Management, Vol. 25, No. 2, pp. 641-659. https://doi.org/10.1007/s11269-010-9718-5
  11. Hughey, K.F.D., Cullen, R., Kerr, G.N., and Cook, A.J. (2004). "Application of the pressure-state-response framework to perceptions reporting of the state of the New Zealand environment." Journal of Environmental Management, Vol. 70, No. 1, pp. 85-93. https://doi.org/10.1016/j.jenvman.2003.09.020
  12. Jang, Y.S., Mun, S.H., and Yang, S.l. (2013). "An analysis of flood mitigation effect applying to LID in mokgamcheon watershed using SWMM model." Journal of Highway Engineering, Vol. 15, No. 3, pp. 75-83. https://doi.org/10.7855/IJHE.2013.15.3.075
  13. Jun, K.S., Sung, J.Y., Chung, E.S., and Lee, K.S. (2011). "Development of spatial water resources vulnerability index considering climate change impacts." Science of the Total Environment, Vol. 409, No. 24, pp. 5228-5242. https://doi.org/10.1016/j.scitotenv.2011.08.027
  14. Jun, S.M., Chung, E.S., Lee, S.H., and Kim, Y.J. (2013). "Development and application of robust decision making technique considering uncertainty of climatic change scenarios." Journal of Korea Water Resource Association, KWRA, Vol. 46, No. 9, pp. 897-907. https://doi.org/10.3741/JKWRA.2013.46.9.897
  15. Jung, I.G., Eum, H.I., Lee, E.J., Park J.H., and Cho J.P. (2018). "Development of representative GCMs selection technique for uncertainty in climate change scenario." Journal of the Korean Society of Agricultural Engineers, Vol. 60, No. 5, pp. 149-162. https://doi.org/10.5389/KSAE.2018.60.5.149
  16. Kim, C.G., Park, J.H., and Cho, J.P. (2018). "Future climate change impact assessment of chungju dam inflow considering selection of GCMs and downscaling technique." Vol. 9, No. 1, pp. 47-58. https://doi.org/10.15531/ksccr.2018.9.1.47
  17. Kim, J.H., Choi, S.W., and Joo, J.G. (2017). "EPA SWMM-LID modeling for low impact development." Journal of KOSHAM, Vol. 17, No. 2, pp. 415-424.
  18. Kim, Y., Chung, E.S., Jeon, S., and Kim, S.U. (2013). "Prioritizing the best sites for treated wastewater use in an urban in an urban watershed using fuzzy TOPSIS." Resources, Conservation, and Recycling, Vol. 73, pp. 23-32. https://doi.org/10.1016/j.resconrec.2012.12.009
  19. Lee, J.H., Cho, S.J., Kim, J.K., Seo, S.C., and Kim, S.D. (2012). "Development of a simple distributed hydrologic model for determining optimal installation location and quantifying efficiency of LID devices for reducing non-point sources." Journal of KOSHAM, Vol. 12, No. 4, pp. 215-223.
  20. Lee, J.M., Hyun, K.H., Lee, Y.S., Kim, J.G., Park, Y.B., and Choi, J.S. (2011). "Analysis of water cycle effect by plan of LID-decentralized rainwater management using SWMM-LID model in a low-carbon green village." LHI Journal of Land, Housing, and Urban Affairs, Vol. 2, No. 4, pp. 503-507. https://doi.org/10.5804/LHIJ.2011.2.4.503
  21. Lee, K.S., and Chung, E.S. (2007). "Development of integrated watershed management schemes for an intensively urbanized region in Korea." Journal of Hydro-Environment Research, Vol. 1, No. 2, pp. 95-109. https://doi.org/10.1016/j.jher.2007.07.004
  22. Li, Q., Wang, F., Yu, Y., Huang, Z., Li, M., and Guan, Y. (2019). "Comprehensive performance evaluation of LID practices for the sponge city construction: a case study in Guangxi, China." Journal of Environmental Management, Vol. 231, pp. 10-20.
  23. Li, Y., Wang, J.K., and Huang, H. (2008). "An assessment of ecosystem health in dongxi river basin based on PSR framework." Journal of Resources science, Vol. 30, No. 1, pp. 107-113.
  24. Lin, W.G., Ryu, S.W., Park, D.G., Lee, J.H., and Cho, Y.H. (2015). "Performance evaluation of the runoff reduction with permeable pavements using the SWMM model." Journal of Highway Engineering, Vol. 17, No. 4, pp. 11-18.
  25. Longley, P.A., Goodchild, M.F., Maguire, D.J., and Rhind, D.W. (2005). Geographic information systems and science. Wiley, Grafos S.A.
  26. Neri, A.C., Dupinb, P., and Sancheza, L.E. (2016). "A pressure-state-response approach to cumulative impact assessment." Journal of Cleaner Production, Vol. 126, No. 10, pp. 288-298. https://doi.org/10.1016/j.jclepro.2016.02.134
  27. Niemeijer, D., and Groot, R.S. (2008). "A conceptual framework for selecting environmental indicator sets." Ecological Indicators, Vol. 8, No. 1, pp. 14-25. https://doi.org/10.1016/j.ecolind.2006.11.012
  28. Pang, B., Yue, J., Zhao, G., and Xu, Z. (2017). "Statistical downscaling of temperature with the random forest model." Advances in Meteorology, Vol. 2017, pp. 1-11. https://doi.org/10.1155/2017/7265178
  29. Park, J.H., Yoo, Y.G., Park, Y.K., Yoon, H.T., Kim, J.G., Park, Y.S., Jeon, J.H., and Lim, K.J. (2008). "Analysis of runoff reduction with LID adoption using the SWMM." Journal of Korean Society on Water Quality, Vol. 24, No. 6, pp. 805-815.
  30. Park, J.Y., Kwon, J.H., Kim, T.R., and Heo, J.H. (2014). "Future inflow simulation considering the uncertainties of TFN model and GCMs on Chungju dam basin." Journal of Korea Water Resource Association, KWRA, Vol. 47, No. 2, pp. 135-143. https://doi.org/10.3741/JKWRA.2014.47.2.135
  31. Pour, S.H., Shahida, S., and Chung, E.S. (2016). "A hybrid model for statistical downscaling of daily rainfall." Procedia Engineering, Vol. 154, pp. 1424-1430. https://doi.org/10.1016/j.proeng.2016.07.514
  32. Son, K.H., Lee, B.J., and Bae, D.H. (2010). "Assessment on flood characteristics changes using multi-GCMs climate scenario." Journal of Korea Water Resource Association, KWRA, Vol. 43, No. 9, pp. 789-799. https://doi.org/10.3741/JKWRA.2010.43.9.789
  33. Song, Y.H., Chung E.S., and Sung, J.H. (2019). "Selection framework of representative general circulation models using the selected best bias correction method." Journal of Korea Water Resource Association, KWRA, Vol. 52, No. 5, pp. 337-347. https://doi.org/10.3741/JKWRA.2019.52.5.337
  34. Suh, J.H., and Lee, I.K. (2013). "The water circulation improvement of apartment complex by applying LID technologies -focused on the application of infiltration facilities." Journal of the Korean Institute of Landscape Architecture, Vol. 41, No. 5, pp. 68-77. https://doi.org/10.9715/KILA.2013.41.5.068
  35. Tiwari, P.R., Kar, S.C., Mohanty, U.C., Kumari, S., Sinha, P., Nair, A., and Dey, S. (2014). "Skill of precipitation prediction with GCMs over north India during winter season." Journal of Climatology, Vol. 34, No. 12, pp. 3440-3455. https://doi.org/10.1002/joc.3921
  36. Tobler, W.R. (1970). "A computer movie simulating urban growth in the detroit region." Economic Geography, Vol. 46, pp. 234-240. https://doi.org/10.2307/143141
  37. Wilby, R.L., and Harris, I. (2006). "A framework for assessing uncertainties in climate change impacts: low-flow scenarios for the river thames, UK." Water Resources Research, Vol. 42, No. 2, pp. 1-10.
  38. Yang, J.S., Kim, S.U., Chung, E.S., and Kim, T.W. (2012). "Prioritization of water management under climate change and urbanization using multi-criteria decision making methods." Hydrology and Earth System Science, Vol. 16, No. 3, pp. 801-814. https://doi.org/10.5194/hess-16-801-2012