Exploring Optimal Deep Tunnel Sewer Systems to Enhance Urban Pluvial Flood Resilience in the Gangnam Region, South Korea

Urban pluvial flooding is becoming a global concern, exacerbated by urbanization and climate change, especially in rapidly developing areas where existing sewer systems lag behind growth. In order to minimize a system's functional failures during extreme rainfalls, localized engineering solutions are required for urban areas chronically suffering from pluvial floods. This study critically evaluates the Deep Tunnel Sewer System (DTSS) as a robust gray infrastructure solution for enhancing urban flood resilience, with a case study in the Gangnam region of Seoul, South Korea. To do so, we integrated a one-dimensional sewer model with a rapid flood spreading model to identify optimal routes and conduit diameters for the DTSS, focusing on four flood-related metrics: the total flood volume, the flood duration, the peak flooding rate, and the number of flooded nodes. Our research also developed the Intensity-Duration-Frequency (IDF) surfaces in three dimensions, providing a correlation between simulated flood-related metrics and design rainfall characteristics to distinguish the effect of DTSS on flood risk reduction. Our findings demonstrate how highly engineered solutions can enhance urban flood resilience, but they may still face challenges during extreme events. This study contributes valuable insights to assist in rational decision-making and emergency management in the face of increasing urban pluvial flood risks.

城市雨洪（urban pluvial flooding）正成为全球性关切问题，城市化与气候变化进一步加剧了这一难题，尤其在现有排水管网系统发展滞后于城市扩张的快速发展区域。为降低极端降雨场景下系统的功能失效风险，长期遭受雨洪灾害的城市区域亟需本地化工程解决方案。本研究以韩国首尔江南区为案例区域，对深层隧道排水系统（Deep Tunnel Sewer System, DTSS）这一提升城市防洪韧性的稳健灰色基础设施方案进行了批判性评估。为此，本研究将一维排水管网模型与快速洪水蔓延模型相结合，以识别DTSS的最优路径与管道管径，重点关注四项洪水相关指标：总洪水量、洪水历时、峰值洪水速率及淹没节点数量。此外，本研究还构建了三维降雨强度-历时-频率（Intensity-Duration-Frequency, IDF）曲面，建立了模拟洪水相关指标与设计降雨特征之间的关联，以区分DTSS对洪水风险削减的作用效果。研究结果表明，高规格工程解决方案可有效提升城市防洪韧性，但在极端事件中仍可能面临挑战。本研究为应对日益严峻的城市雨洪风险，提供了助力理性决策与应急管理的宝贵见解。

搜集汇总

背景与挑战

背景概述

该数据集聚焦于韩国首尔江南地区的城市内涝问题，通过研究深隧道污水系统（DTSS）来提升城市洪水韧性。研究整合了污水模型和洪水扩散模型，优化DTSS的路线和管道设计，并利用洪水相关指标和三维IDF曲面评估系统效果。数据集提供了工程解决方案的实证分析，旨在支持城市洪水风险管理的决策和应急管理。