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2024 Vol.57, Issue 3 Preview Page

Research Article

Development and application of cellular automata-based urban inundation and water cycle model CAW

셀룰러 오토마타 기반 도시침수 및 물순환 해석 모형 CAW의 개발 및 적용

Songhee Leea
,
Hyeonjin Choib
,
Hyuna Wooa
,
Minyoung Kimc
,
Eunhyung Leed
,
Sanghyun Kime
,
Seong Jin Nohf*
이 송희a
,
최 현진b
,
우 현아a
,
김 민영c
,
이 은형d
,
김 상현e
,
노 성진f*
aMaster’s Course Student, Department of Civil Engineering, Kumoh National Institute of Technology, Gumi, Korea
bPh..D. Course Student, Department of Civil Engineering, Kumoh National Institute of Technology, Gumi, Korea
cUndergraduate Student, Department of Civil Engineering, Kumoh National Institute of Technology, Gumi, Korea
dEnvironmental Researcher, Geum-River Environment Research Center, National Institute of Environmental Research, Okcheon, Korea
eProfessor, Department of Environmental Engineering, Pusan National University, Busan, Korea
fAssistant Professor, Department of Civil Engineering, Kumoh National Institute of Technology, Gumi, Korea
a금오공과대학교 토목공학과 석사과정
b금오공과대학교 토목공학과 박사과정
c금오공과대학교 토목공학과 학사과정
d국립환경과학원 금강물환경연구소 환경연구사
e부산대학교 환경공학과 교수
f금오공과대학교 토목공학과 조교수
*Corresponding Author
31 March 2024. pp. 165-179
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Abstract

It is crucial to have a comprehensive understanding of inundation and water cycle in urban areas for mitigating flood risks and sustainable water resources management. In this study, we developed a Cellular Automata-based integrated Water cycle model (CAW). A comparative analysis with physics-based and conventional cellular automata-based models was performed in an urban watershed in Portland, USA, to evaluate the adequacy of spatiotemporal inundation simulation in the context of a high-resolution setup. A high similarity was found in the maximum inundation maps by CAW and Weighted Cellular Automata 2 Dimension (WCA2D) model presumably due to the same diffuse wave assumption, showing an average Root-Mean-Square-Error (RMSE) value of 1.3 cm and high scores of binary pattern indices (HR 0.91, FAR 0.02, CSI 0.90). Furthermore, through multiple simulation experiments estimating the effects of land cover and soil conditions on inundation and infiltration, as the impermeability rate increased by 41%, the infiltration decreased by 54% (4.16 mm/m2) while the maximum inundation depth increased by 10% (2.19 mm/m2). It was expected that high- resolution integrated inundation and water cycle analysis considering various land cover and soil conditions in urban areas would be feasible using CAW.

Keywords
Cellular Automata
Urban Inundation
Water Cycle
Artificial Intelligence

도시 지역의 홍수 위험을 완화하고 지속 가능한 수자원을 관리하기 위해서는 도시 홍수와 물순환의 연계 해석이 필수적이다. 본 연구는 간단한 전환 규칙을 통해 침수의 시공간적 변화를 모의하는 셀룰러 오토마타 기법을 이용하여 고해상도 도시침수 및 물순환 해석 모형 CAW (Cellular Automata-based integrated Water cycle model)를 개발하고, 그 적용성을 평가하였다. 개발된 모형을 미국 포틀랜드 도심지 유역에 적용하고, 물리 기반 모형 및 기존 셀룰러 오토마타 기반 모형의 침수 해석 결과와 비교하여 도시침수 재현의 적절성을 평가하였다. 연구 결과, 침수 검증 대상 지점에 대한 CAW 모형의 최대 침수심 분포는 확산파 방정식을 모사하는 WCA2D (Weighted Cellular Automata 2 Dimension) 모형과 평균 오차 값이 1.3 cm로 유사하게 모의되었고, 이진 패턴 유사도 검증에서 HR 0.91, FAR 0.02, CSI 0.90으로 비교적 높은 유사성을 나타내며 모형의 침수 해석 적용성을 검증하였다. 또한, 토지피복 및 토양 조건이 침수, 침투에 미치는 영향을 시험 평가한 결과, 불투수율이 41% 더 높은 지역에서의 침투와 최대 침수심이 각각 54%(4.16 mm/m2) 감소 및 10%(2.19 mm/m2) 증가하였다. CAW 모형을 이용하여 도시 유역의 다양한 토지피복 및 토양 특성을 고려한 고해상도 물순환 및 도시침수 연계 모의 해석이 가능할 것으로 기대된다.

키워드
셀룰러 오토마타
도시 홍수
물순환
인공지능
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Information
  • Publisher :KOREA WATER RESOURECES ASSOCIATION
  • Publisher(Ko) :한국수자원학회
  • Journal Title :Journal of Korea Water Resources Association
  • Journal Title(Ko) :한국수자원학회 논문집
  • Volume : 57
  • No :3
  • Pages :165-179
  • Received Date : 2024-01-16
  • Revised Date : 2024-02-16
  • Accepted Date : 2024-02-23
  • DOI :https://doi.org/10.3741/JKWRA.2024.57.3.165
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