Adapting cities to the surge: A comprehensive review of climate-induced urban flooding

Dharmarathne, Gangani; Waduge, A.O.; Bogahawaththa, Madhusha; Rathnayake, Upaka; Meddage, D.P.P.

doi:10.1016/j.rineng.2024.102123

Cited by 15 publications

(2 citation statements)

References 233 publications

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“…Floods are major natural disasters faced by humans, particularly in mountainous areas, often causing severe geological disasters such as landslides and mudslides. Such disasters pose serious threats to life, property safety, local economic development, and the ecological environment [1][2][3]. Obtaining accurate rainfall data is of great importance to flood forecasting, early warning systems, and flood management.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of GPM IMERG Satellite Precipitation Products in Event-Based Flood Modeling over the Sunshui River Basin in Southwestern China

Lyu,

Li,

2024

Remote Sensing

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This study evaluates the applicability of hourly Global Precipitation Measurement Mission (GPM) Integrated Multi-satellitE Retrievals for GPM (IMERG) data for event-based flood modeling in the Sunshui River Basin, southwestern China, using the hydrologic modeling system (HEC-HMS) model. The accuracies of IMERG V6, IMERG V7, and the corrected IMERG V7 satellite precipitation products (SPPs) were assessed against ground rainfall observations. The performance of flood modeling based on the original and the corrected SPPs was then evaluated and compared. In addition, the ability of different numbers (one–eight) of ground stations to correct IMERG V7 data for flood modeling was investigated. The results indicate that IMERG V6 data generally underestimate the actual rainfall of the study area, while IMERG V7 and the corrected IMERG V7 data using the geographical discrepancy analysis (GDA) method overestimate rainfall. The corrected IMERG V7 data performed best in capturing the actual rainfall events, followed by IMERG V7 and IMERG V6 data, respectively. The IMERG V7-generated flood hydrographs exhibited the same trend as those of the measured data, yet the former generally overestimated the flood peak due to its overestimation of rainfall. The corrected IMERG V7 data led to superior event-based flood modeling performance compared to the other datasets. Furthermore, when the number of ground stations used to correct the IMERG V7 data in the study area was greater than or equal to four, the flood modeling performance was satisfactory. The results confirm the applicability of IMERG V7 data for fine time scales in event-based flood modeling and reveal that using the GDA method to correct SPPs can greatly enhance the accuracy of flood modeling. This study can act as a basis for flood research in data-scarce areas.

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Section: Introductionmentioning

confidence: 99%

Evaluation of GPM IMERG Satellite Precipitation Products in Event-Based Flood Modeling over the Sunshui River Basin in Southwestern China

Lyu,

Li,

2024

Remote Sensing

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“…Under the dual driving forces of accelerating urbanization and exacerbated climate change, the frequency of urban flooding is on the rise [1][2][3][4]. The property losses and personal safety threats caused by urban flooding and erosion pose significant challenges to urban water safety management [5][6][7].…”

Section: Introductionmentioning

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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Sustainability benefits of AI-based engineering solutions for infrastructure resilience in arid regions against extreme rainfall events

Habib,

Albzaie

et al. 2024

Discov Sustain

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Adapting cities to the surge: A comprehensive review of climate-induced urban flooding

Cited by 15 publications

References 233 publications

Evaluation of GPM IMERG Satellite Precipitation Products in Event-Based Flood Modeling over the Sunshui River Basin in Southwestern China

Evaluation of GPM IMERG Satellite Precipitation Products in Event-Based Flood Modeling over the Sunshui River Basin in Southwestern China

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

Sustainability benefits of AI-based engineering solutions for infrastructure resilience in arid regions against extreme rainfall events

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