Exploring the Network Structure of Coupled Green-Grey Infrastructure to Enhance Urban Pluvial Flood Resilience: A Scenario-Based Approach Focusing on ‘Centralized’ and ‘Decentralized’ Structures

Published: 19 April 2024| Version 3 | DOI: 10.17632/dzzwvd8rjk.3


Urban pluvial floods pose a significant risk to cities, as they occur when rainfall exceeds the carrying capacity of the urban drainage network. Coupled green-grey infrastructure has emerged as a sustainable solution for mitigating urban pluvial floods. This study aims to explore the optimal network configuration of coupled low impact development (LID) and drainage networks to enhance flow distribution and runoff infiltration. To do so, we focused on two competing key concepts in network analysis: (1) Centralization and (2) Decentralization. We integrated a one-dimensional sewer model with a rapid flood spreading model to assess the flood reduction performance of centralized and decentralized network configurations in the Gangnam region of Seoul, South Korea. We also incorporated LID practices into our analysis. Our findings reveal that while a centralized drainage network reduced total flood volume more effectively than a decentralized network, the integration of LID practices with a decentralized network yielded comparable performance to that of the centralized network. This exploratory study underscores the potential of network analysis in hydrological research, particularly in the context of urban drainage network design. Our findings contribute to the development of optimal drainage network structures for rapid flood assessment and contingency planning, thereby enhancing urban resilience against pluvial floods. We developed the urban drainage network for the study area, which is Seocho 2-dong, Seocho-gu, Seoul, South Korea, to examine the pluvial flood reduction according to the network structure of the urban drainage network. This dataset consists of SWMM inp files of all scenarios analyzed in this study.



Seoul National University


Network Analysis, Urban Flooding, Urban Drainage