도시 지하인프라의 설계 성능 향상을 위한 시나리오기반 의사결정 지원 프레임워크 개발

초록

With the increased frequency and intensity of extreme rainfall due to climate change, the limitations of conventional urban drainage systems have become evident. In response, this study proposes a decision support framework for the optimal design of deep underground drainage infrastructure, including stormwater storage systems. Various scenarios were developed considering vertical inlet positions, storage capacity, and rainfall patterns. Quantitative performance indicators were derived through hydrologic-hydraulic simulations, and two evaluation functions (System Connectivity and System Resilience) were applied along with socio-economic considerations (e.g., proximity to critical infrastructure and land use) to assess each scenario. Applied to a flood-prone district in S-catchment, the analysis showed that among the combinations with four vertical inlets, Scenario S3076 emerged as the optimal solution when socio-economic indicators were taken into account. This confirms that scenarios with similar hydraulic performance can be prioritized differently depending on social vulnerability and protection of critical infrastructure. This study presents a practical decision-making framework that integrates quantitative and qualitative evaluation for deep underground infrastructure planning in urban flood management. The proposed approach can be further generalized through inclusion of additional components and expansion to diverse urban networks.

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