Journal of Korean Society of Disaster and Security (한국방재안전학회논문집)

Korean Society of Disaster & Security (한국방재안전학회)
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A Methodology for the Establishment of CityGML Based 3D Drainage Facility Information Model for Runoff Analysis

강우우수 유출해석을 위한 CityGML 기반 3차원 도시 배수시설 정보모델 구축 방안

  • Lee, Sang-Ho (Department. of Civil & Environmental Engineering, Yonsei University) ;
  • Jang, Young-Hoon (Department. of Civil & Environmental Engineering, Yonsei University) ;
  • Kim, Jong Myung (Department. of Civil & Environmental Engineering, Yonsei University)
  • 이상호 (연세대학교 토목환경공학과) ;
  • 장영훈 (연세대학교 토목환경공학과) ;
  • 김종명 (연세대학교 토목환경공학과)
  • Received : 2016.12.11
  • Accepted : 2016.12.21
  • Published : 2016.12.31
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Abstract

In this study, we have created CityGML based 3D information model for drainage facility, manhole and terrain. It conducted analysis of the rainfall-runoff leak through the information model for obtaining interoperability for information integration between city models. The models have advantages to manage the infrastructure information in point of semantic meaning and geometric information by converting the original 2D GIS construction information into the 3D information model. The input values can be automatically generated through the 3D information model of this study, while the values should be entered manually in the conventional method. Also, it can be useful to check the flooding level and related locations by connecting the result of rainfall interpretation and information model.

본 연구에서는 3차원 도시시설 정보모델의 상호운용성을 확보할 수 있는 표준 데이터 스키마인 CityGML을 이용하여 하수관망, 맨홀, 지형을 대상으로 3차원 정보모델을 생성하고, 정보모델을 통해 강우우수 유출해석을 수행하였다. 기존 GIS 기반의 2차원 구축 정보를 3차원 정보모델로 변환함으로써 도시시설물 정보를 의미정보와 형상정보로 나누어 관리할 수 있고, 강우해석 시 도시 강우해석을 위한 입력 값들을 정보모델을 통해 자동 생성하여 과거 수작업으로 수행하던 업무를 부분적으로 자동화가 가능하도록 하였다. 또한 강우 해석 결과와 정보모델을 연동시켜 침수 지역과 위치 및 침수수준을 자동으로 손쉽게 파악할 수 있는 가능성을 제시하였다.

Keywords

References

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  1. CityGML urban model generation using national public datasets for flood damage simulations: A case study in Korea vol.297, pp.None, 2021, https://doi.org/10.1016/j.jenvman.2021.113236