Journal of the Korean Association of Geographic Information Studies (한국지리정보학회지)

The Korean Association of Geographic Information Studies (한국지리정보학회)
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Analysis of Urban Inundation Considering Building Footprints Based on Dual-Drainage Scheme

건물의 영향을 고려한 이중배수체계기반 침수해석

  • Lee, Jeong-Young (Department of Urban Engineering, Chungbuk National University) ;
  • Jin, Gi-Ho (Department of Urban Engineering, Chungbuk National University) ;
  • Ha, Sung-Ryong (Department of Urban Engineering, Chungbuk National University)
  • Received : 2014.08.25
  • Accepted : 2014.10.30
  • Published : 2014.12.31
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Abstract

This study aims to investigate urban inundation considering building footprints based on dual-drainage scheme. For this purpose, LiDAR data is cultivated to generate two original data set in terms of DEM with $1{\times}1$ meter and building layer of the study drainage area in Seoul and then the building layer is overlapped as vector polygon with the mesh data with the same size as DEM. Then, terrain data for modeling were re-sampled to reduce resolution as $10{\times}10$ meters. As results, the simulated depth without considering building footprints has a tendency to underestimate the inundation depth compared to observed data analized by CCTV imagery. Otherwise, the simulation result considering building footprints revealed definitely higher fitness. The difference of inundation depth came from the variation of inundation volume which was relevant to inundation extent. If the building footprints are enlarged, the possible inundation depth is increased, which results in being inundation depth higher because hydrological conditions such as rainfall depth are conservational. Otherwise, according to comparison of inundation extents, there were no significant difference but the case of considering building footprint was revealed slightly higher fitness. Thus, it is concluded that the considering building footprint for inundation analysis of urban watershed should be required to improve simulation accuracy synthetically.

본 연구의 목적은 건물의 유무에 따른 도시지역의 침수특성을 이중배수체계기반의 2차원 침수 해석모형을 이용하여 각각 해석하고 해석 결과의 차이를 비교하는데 있다. 이를 위해 LiDAR 측량 기반 $1m{\times}1m$ 해상도의 표고모델과 표고모델 위에 건물의 외벽을 따라 지표수 유입을 억제하는 격자를 생성한 표고모델의 2가지 지형자료를 구축하였고, 2가지 지형조건을 2차원 침수해석모형의 입력 자료로 활용하기 위해 $10m{\times}10m$ 해상도로 re-sampling 하였다. 분석 결과, CCTV 영상에 의한 실측 침수심 자료와 모의값을 비교한 결과, 건물을 고려하지 않은 지형자료를 사용한 경우 침수심이 과소 산출되었으나, 건물을 고려한 경우에는 실측값과 근사하게 모의되었다. 침수심의 차이는 침수 가능 면적의 변화에 따라 침수체적이 변하게 되므로, 지표면으로 유출되는 수문량이 절대량으로 고정된다면 침수 가능영역이 큰 지형자료를 사용한 경우 침수심이 낮아지기 때문인 것으로 판단된다. 한편 침수흔적도와 비교한 침수면적은 두 지형자료 모두 큰 차이를 보이지 않았으나 근사하게 건물을 고려한 경우의 일치도가 높은 것으로 나타났다. 따라서 침수면적과 침수심의 두 가지를 종합적으로 고려한다면, 이중배수체계기반의 2차원 침수해석모형을 활용하여 도시유역의 침수해석을 수행하는 경우, 건물을 고려한 지형자료를 사용하는 것이 바람직하다고 판단된다.

Keywords

References

  1. Bales, J.D. and C.R. Wagner. 2009. Sources of uncertainty in flood inundation maps. Journal of Flood Risk Management 2: 139-147. https://doi.org/10.1111/j.1753-318X.2009.01029.x
  2. Cho, W.H., K.Y. Han and Y.J. Kim. 2010. An evaluation of building effect in 2- dimensional inundation analysis using GIS. Journal of the Korean Association of Geographic Information Studies 13(2):119-132 (조완희, 한건연, 김영주. 2010. GIS를 활용한 2차원 침수해석에서의 건물영향분석. 한국지리정보학회지 13(2): 119-132).
  3. Djordjevic, S., D. Prodanovic and C. Makximovic. 1999. An approach to simulation of dual drainage. Water Science and Technology 39(5):95-103. https://doi.org/10.1016/S0273-1223(99)00221-8
  4. Fewtrell, T.J., P.D. Bates and N.M. Hunter. 2008. Evaluating the effect of scale in flood inundation modelling in urban environments. Hydrological Processes 22(26):5107-5118. https://doi.org/10.1002/hyp.7148
  5. Ha, C.Y., K.Y. Han and W.H. Cho. 2010. 2-D inundation analysis according to post-spacing density of DEMs from LiDAR using GIS. Journal of the Korean Association of Geographic Information Studies 13(1):74-88 (하창용, 한건연, 조완희. 2010. GIS를 활용한 LiDAR 자료의 밀도에 따른 2차원 침수해석. 한국지리정보학회지 13(1):74-88).
  6. Horritt, M.S. and P.D. Bates. 2011. Effects of spatial resolution on a raster based model of flood flow. Journal of Hydrology 253(1-4):239-249.
  7. Lee, C.H., K.Y. Han and J.S. Kim. 2006. Urban inundation analysis by applying with GIS. Journal of the Korean Association of Geographic Information Studies 9(2):115-125 (이창희, 한건연, 김지성. 2006. GIS를 이용한 도시지역 침수 해석. 한국지리정보학회지 9(2):115-125).
  8. Lee, C.H., K.Y. Han and J.W. Noh. Development of urban inundation analysis model using dual-drainage concept. Journal of Korean Society of Civil Engineering 26(4B):379-387(이창희, 한건연, 노준우. 2006. Dual-Drainage개념에 의한 도시침수해석모형의 개발. 한국토목학회논문집 26(4B):379-387).
  9. Lee, J.Y. and S.R. Ha. 2013. Impact of building blocks on inundation level in urban drainage area. Journal of Environmental Impact Assessment 22(1): 99-107 (이정영, 하성룡. 2013. 지표 건물이 도시유역의 침수특성에 미치는 영향. 한국환경영향평가학회지 22(1):99-107). https://doi.org/10.14249/eia.2013.22.1.099
  10. Lichti, D., N. Pfeifer and H.G. Maas. 2008. Terrestrial laser scanning. ISPRS Journal of Photogrammetry and Remote Sensing 63:1-3. https://doi.org/10.1016/j.isprsjprs.2007.10.002
  11. Mark, O., S. Seesakul, C. Apirumanekul, S.B. Aroonet and S. Djordjevic. 2004. Potential and limitation of 1D modeling of urban flooding. Journal of Hydrology 299(3-4):284-299. https://doi.org/10.1016/j.jhydrol.2004.08.014
  12. Ministry of Environment. 2014. The guidelines for public sewer facilities installation project. pp.46 (환경부. 2014. 공공하수도시설 설치사업 업무지침. 46쪽).
  13. Neelz, S., G. Pender, I. Villanueva, M. Wilson, N.G. Wright, P. Bates, D. Mason and C. Whitlow. 2006. Using remotely sensed data to support flood modelling. Water Management 159:35-43.
  14. Park, I.H., J.Y. Lee, J.H. Lee and S.R. Ha. 2014. Evaluation of the causes of inundation in a repeatedly flooded zone in the city of Cheongju, Korea using a 1D/2D model. Water Science and Technology 69(11):2175-2183. https://doi.org/10.2166/wst.2014.077
  15. Park, I.H. and S.R. Ha. 2013. An analysis on inundation characteristics of urban watershed according to variation in return period of design rainfall. Journal of Wetlands Research 15(4):585-593 (박인혁, 하성룡. 2013. 설계 강우량의 재현 빈도 변화에 따른 도시유역의 침수특성 분석. 한국습지학회지 15(4):585-593). https://doi.org/10.17663/JWR.2013.15.4.585
  16. Sanders, B.F., J.E. Schubert and H.A. Gallegos. 2008. Integral formulation of shallow-water equations with anisotropic porosity for urban flood modeling. Journal of Hydrology 362:19-38. https://doi.org/10.1016/j.jhydrol.2008.08.009
  17. Shubert, J.E. and B.F. Sanders. 2012. Building treatments for urban flood inundation models and implications for predictive skill and modeling efficiency. Advances in Water Resources 41:49-64. https://doi.org/10.1016/j.advwatres.2012.02.012
  18. Tsubaki, R. and Y. Kawahara. 2013. The uncertainty of local flow parameters during inundation flow over complex topographies with elevation errors. Journal of Hydrology 486:71-87. https://doi.org/10.1016/j.jhydrol.2013.01.042

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