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A 3D simulation of river basin boundary based on the change of water-level using open government data in South Korea

Abstract

South Korea has recently been suffering from damage caused by typhoons and floods. To reduce repetitive damage, the government has drawn up a trace of flood damage through surveys. However, due to the number of hours of time, cost and manpower, only major areas are being made. Therefore, the purpose of this study is to create 3D simulation that is relatively easy to make and identify areas of flood risk using open government data. The study area is the Taehwa river basin in Ulsan, which was influenced by typhoon ‘Chaba’ in last year. The stages of River level were set up by examining the actual rainfall and the river level. River basin were simulated in 3D at each river level using 1/1000 digital map. The result of this study can be used as references for disaster prevention planning and impact assessment of pre-disaster at the national level and for maintenance of facilities and the selection of shelters against typhoons and floods at the local government level.

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Source MOLIT, Water Resources Management Information System (http://www.wamis.go.kr)

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Notes

  1. These study areas did not include all administrative dongs, but only a part of each dong. Thus, only the inundated areas in the study areas were calculated.

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Acknowledgements

This study was conducted as part of the research on “Geospatial Big Data Management, Analysis and Service Platform Technology Development”, which is supervised by Korea Agency for Infrastructure Technology Advancement and supported by the Ministry of Land, Infrastructure and Transport (17NSIP-B081011-04).

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Correspondence to Jongwook Ahn.

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Yang, M., Ahn, J. & Shin, D. A 3D simulation of river basin boundary based on the change of water-level using open government data in South Korea. Spat. Inf. Res. 26, 175–185 (2018). https://doi.org/10.1007/s41324-017-0162-y

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  • DOI: https://doi.org/10.1007/s41324-017-0162-y

Keywords

  • 3D simulation
  • Open government data
  • Heavy rainfall
  • Inundation area