Integrated Methodology for Urban Flood Risk Mitigation in Cittanova, Italy

Scionti, Fabio; Miguez, Marcelo Gomes; Barbaro, Giuseppe; Sousa, Matheus Martins de; Foti, Giandomenico; Canale, Caterina

doi:10.1061/(asce)wr.1943-5452.0000985

Cited by 34 publications

(12 citation statements)

References 29 publications

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“…To analyze coastal flooding, it is necessary to know the coastal dynamics and the factors that influence it, which can be mainly grouped in natural and anthropic factors [3][4][5][6]. These factors have increased the vulnerability of coastal areas to natural events [7][8][9][10][11][12]. Regarding the anthropic factors, the most important are the construction of infrastructures, ports and coastal defense works [13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Risk Mapping of Coastal Flooding Areas. Case Studies: Scilla and Monasterace (Italy)

Barbaro¹,

Foti²,

Nucera³

et al. 2020

IJSSE

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Coastal flooding is a danger to people who live near coasts. It is therefore necessary to increase knowledge of the causes of coastal flooding through scientific research. Furthermore, the correct assessment of flooding areas is very important for the management of coastal areas. Given this, the current European legislation (Directive 2007/60/EC) requires flood areas to be mapped, but to date in Italy each region is still adopting different procedures to map their flood areas. This paper, through two case studies, analyzes the hazard, damage and risk mapping of coastal flooding areas. The cases are related to two Calabrian towns, located along the Ionian coast (Monasterace), and the Tyrrhenian coast (Scilla), with both particularly prone to coastal flooding. In particular, with regards to the hazard mapping, the effects of sea storms and climate changes were taken into account. The damage assessment followed an "ex ante" approach, based on the employment of land use maps, in accordance with current Italian legislation. Furthermore, risk maps were added, and obtained by combining both damage and hazard maps. Finally, a comparison with previous events allowed us to verify the validity of the proposed methodology.

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Section: Introductionmentioning

confidence: 99%

Risk Mapping of Coastal Flooding Areas. Case Studies: Scilla and Monasterace (Italy)

Barbaro¹,

Foti²,

Nucera³

et al. 2020

IJSSE

Self Cite

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“…In recent years, canalization was used to reduce floods. It has been substituted by other methods due to its ineffectiveness ahead of floods caused by environmental conditions and urbanization adverse effects [8].…”

Section: Introductionmentioning

confidence: 99%

“…Implementing the approach will be useful in drainage network management and help to deal with extreme rainfall events. Scionti et al [8] proposed a quasi-2D model composed of the 1D model simplicity and the 2D model having the ability to better represent the surface flows and connected it to MODCEL, which can discretize the urban area in cells where rainfall-runoff transformation is operated. The flood risk index considered in the study links the flood level to flood damage cost and the model provides important data in terms of flood risk and level for critical areas and various scenarios of flood reduction.…”

Section: Introductionmentioning

confidence: 99%

Urban Drainage Networks Rehabilitation Using Multi-Objective Model and Search Space Reduction Methodology

2019

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The drainage network always needs to adapt to environmental and climatic conditions to provide best quality services. Rehabilitation combining pipes substitution and storm tanks installation appears to be a good solution to overcome this problem. Unfortunately, the calculation time of such a rehabilitation scenario is too elevated for single-objective and multi-objective optimization. In this study, a methodology composed by search space reduction methodology whose purpose is to decrease the number of decision variables of the problem to solve and a multi-objective optimization whose purpose is to optimize the rehabilitation process and represent Pareto fronts as the result of urban drainage networks optimization is proposed. A comparison between different model results for multi-objective optimization is made. To obtain these results, Storm Water Management Model (SWMM) is first connected to a Pseudo Genetic Algorithm (PGA) for the search space reduction and then to a Non-Dominated Sorting Genetic Algorithm II (NSGA-II) for multi-objective optimization. Pareto fronts are designed for investment costs instead of flood damage costs. The methodology is applied to a real network in the city of Medellin in Colombia. The results show that search space reduction methodology provides models with a considerably reduced number of decision variables. The multi-objective optimization shows that the models’ results used after the search space reduction obtain better outcomes than in the complete model in terms of calculation time and optimality of the solutions.

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“…However, the analysis identified significant impacts from two factors (climate change influencing future river flows, and socioeconomic change influencing development in the floodplain). Scionti et al [16] chose the optimum flood defense measures after assessing those based on the scenario. Taseff et al [17] suggested a new approach to establish an optimal flood prevention plan under physical and economical limitations.…”

Section: Introductionmentioning

confidence: 99%

Combination of Structural Measures for Flood Prevention in Anyangcheon River Basin, South Korea

Kim

Han

Kim

et al. 2019

Water

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Climate change and fast urbanization increased rainfall intensity and runoff discharge. These changes lead to the growing possibility of flood damages. In South Korea, a government established the “Comprehensive Flood Prevention Plan (CFPP)” for each of river basin against flood. The plan is based on the combination of structural measures selected by experienced hydrologists. However, it lacks clear criteria. To solving this problem, this study classifies the structural measures and suggests a combination method, which use relationships between measures, to ensure the objectivity of the process in identifying proper measures. For Anyangcheon river basin, two plans are provided; the first is developed by the study, and the other is by the CFPP. Comparing the two plans, the results show that the combination, selected by proposed method in this study, is economically more feasible compared to CFPP. Therefore, this study expected be useful when selecting and combining structural measures for formulating river basin flood prevention plans.

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Integrated Methodology for Urban Flood Risk Mitigation in Cittanova, Italy

Cited by 34 publications

References 29 publications

Risk Mapping of Coastal Flooding Areas. Case Studies: Scilla and Monasterace (Italy)

Risk Mapping of Coastal Flooding Areas. Case Studies: Scilla and Monasterace (Italy)

Urban Drainage Networks Rehabilitation Using Multi-Objective Model and Search Space Reduction Methodology

Combination of Structural Measures for Flood Prevention in Anyangcheon River Basin, South Korea

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