Mitigating urban flood Hazards: Hybrid strategy of structural measures

Moon, Hyeon-Tae; Kim, Jong-Suk; Chen, Jie; Yoon, Sun-Kwon; Moon, Young-Il

doi:10.1016/j.ijdrr.2024.104542

Cited by 3 publications

(1 citation statement)

References 68 publications

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“…Although the redundant intervention measures of specific solutions for the urban drainage system (UDS) offer significant reductions in flood risk, the expedited discharge of runoff may engender downstream flood hazards and the translocation of water accumulation sites [33]. Furthermore, within the context of future climate change uncertainties, purely structural mitigation interventions may exhibit limitations, and the integration with green stormwater infrastructure (GSI) has demonstrated efficacy [38,39]. Considering the flexibility of GSI [24]-characterized by the intrinsic capacity of the system to reconfigure and adjust under diverse (fluctuating) load conditions to sustain an acceptable performance level-coupled with the two types of redundant intervention schemes executed in this research, it is anticipated that the disparity in flood resilience between centralized and decentralized UDS layouts will be made up.…”

Section: B the Edges Of Hybrid Modementioning

confidence: 99%

A Structural Optimization of Urban Drainage Systems: An Optimization Approach for Mitigating Urban Floods

Zhang,

Wang,

Gong

2024

Water

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Urbanization and climate change increasingly challenge urban water management. In this context, the design of stormwater drainage systems, which traditionally relies on historical rainfall records, is being questioned. Although significant efforts have been dedicated to optimizing drainage networks, the upgrading of existing systems remains understudied. This research devised a set of viable stormwater drainage networks, referencing the road network of the Sino-Singapore Tianjin Eco-City (data from Google Maps). On this basis, utilizing design rainfall data (sourced from the local meteorological center), an extensive array of scenario analyses was conducted. The investigation assessed the performance of implementing two redundancy-based interventions—introducing loops and enlarging pipe diameters—as well as the patterns of flood risk response, and by integrating a multi-objective optimization algorithm, this study proposes a framework for the optimization of grey infrastructure upgrades based on component replacement. The findings suggest that a precise deployment strategy for grey infrastructure is essential. The former improves the effective flow distribution of the drainage system, while the latter enhances its flow capacity, making each intervention suitable for drainage systems with a different degree of centralization. Further research shows that an integrated hybrid scheme brings significant flood risk improvement with strong applicability for most urban drainage systems. The upgrade model proposed in this study could be a valuable initiative, offering theoretical insights for the construction and development of resilient cities.

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Section: B the Edges Of Hybrid Modementioning

confidence: 99%

A Structural Optimization of Urban Drainage Systems: An Optimization Approach for Mitigating Urban Floods

Zhang,

Wang,

Gong

2024

Water

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Climate change and urban sprawl: Unveiling the escalating flood risks in river deltas with a deep dive into the GBM river delta

Wu,

Zhou,

Reyns

et al. 2024

Science of The Total Environment

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Impact of Urbanization-Driven Land Use Changes on Runoff in the Upstream Mountainous Basin of Baiyangdian, China: A Multi-Scenario Simulation Study

Gong,

Geng,

Wang

et al. 2024

Land

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Urbanization in the Haihe River Basin in northern China, particularly the upstream mountainous basin of Baiyangdian, has significantly altered land use and runoff processes. The runoff is a key water source for downstream areas like Baiyangdian and the Xiong’an New Area, making it essential to understand these changes’ implications for water security. However, the exact implications of these processes remain unclear. To address this gap, a simulation framework combining SWAT+ and CLUE-S was used to analyze runoff responses under different land use scenarios: natural development (ND), farmland protection (FP), and ecological protection (EP). The model simulation results were good, with NSE above 0.7 for SWAT+. The Kappa coefficient for CLUE-S model validation was 0.83. The further study found that from 2005 to 2015, urban construction land increased by 11.50 km2 per year, leading to a 0.5–1.3 mm rise in annual runoff. Although urban expansion continued, the other scenarios, which emphasized farmland and forest preservation, slowed this growth. Monthly runoff changes were most significant during the rainy season, with annual runoff in ND, FP, and EP varying by 8.9%, 10.9%, and 7.7%, respectively. While the differences in annual runoff between scenarios were not dramatic, these findings provide a theoretical foundation for future water resource planning and management in the upstream mountainous area of Baiyangdian and offer valuable insights for the sustainable development of Xiong’an New Area. Additionally, these results contribute to the broader field of hydrology by highlighting the importance of considering multiple land use scenarios in runoff change analysis.

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Mitigating urban flood Hazards: Hybrid strategy of structural measures

Cited by 3 publications

References 68 publications

A Structural Optimization of Urban Drainage Systems: An Optimization Approach for Mitigating Urban Floods

A Structural Optimization of Urban Drainage Systems: An Optimization Approach for Mitigating Urban Floods

Climate change and urban sprawl: Unveiling the escalating flood risks in river deltas with a deep dive into the GBM river delta

Impact of Urbanization-Driven Land Use Changes on Runoff in the Upstream Mountainous Basin of Baiyangdian, China: A Multi-Scenario Simulation Study

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