Probabilistic mapping of storm-induced coastal inundation for climate change adaptation

Li, Ning; Yamazaki, Yoshiki; Roeber, Volker; Cheung, Kwok Fai; Chock, Gary

doi:10.1016/j.coastaleng.2017.12.013

Cited by 40 publications

(21 citation statements)

References 42 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

View full text Add to dashboard Cite

show abstract

“…To estimate storm surge inundation risk, it is necessary to consider climate change scenarios [15][16][17]. Although previous studies have focused on assessing storm surge inundation risk in terms of hazard prediction [18][19][20], there is little information on risk assessment that integrates storm surge inundation hazard, exposure, and vulnerability because of climate change.…”

Section: Introductionmentioning

confidence: 99%

Simulation-Based Exceedance Probability Curves to Assess the Economic Impact of Storm Surge Inundations due to Climate Change: A Case Study in Ise Bay, Japan

et al. 2019

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Understanding storm surge inundation risk is essential for developing countermeasures and adaptation strategies for tackling climate change. Consistent assessment of storm surge inundation risk that links probability of hazard occurrence to distribution of economic consequence are scarce due to the lack of historical data and uncertainty of climate change, especially at local scales. This paper proposes a simulation-based method to construct exceedance probability (EP) curves for representing storm surge risk and identifying the economic impact of climate change in the coastal areas of Ise Bay, Japan. The region-specific exceedance probability curves show that risk could be different among different districts. The industry-specific exceedance probability curves show that manufacturing, transport and postal activities, electricity, gas, heat supply and water, and wholesale and retail trade are the most affected sectors in terms of property damage. Services also need to be of concern in terms of business interruption loss. Exceedance probability curves provide complete risk information and our simulation-based approach can contribute to a better understanding of storm surge risk, improve the quantitative assessment of the climate change-driven impacts on coastal areas, and identify vulnerable regions and industrial sectors in detail.

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“…Defense structures alter the local morphology of the beach by inducing scouring [47], which decreases wave energy dissipation prior to reaching the structure slope and increases wave overtopping [20,21]. Due to the importance of the water entrance location on the flood path, significant progress has been made on overtopping modelling, to calculate the volumes of water passing over defense structures [48][49][50][51][52][53][54] as well as on runup modelling [39,[55][56][57]. Hydrodynamic modelling often uses a cascade of models to simulate hydrodynamic conditions from offshore to shore and to estimate wave runup, overtopping, and flow patterns [39,52,57].…”

Section: Introductionmentioning

confidence: 99%

“…Due to the importance of the water entrance location on the flood path, significant progress has been made on overtopping modelling, to calculate the volumes of water passing over defense structures [48][49][50][51][52][53][54] as well as on runup modelling [39,[55][56][57]. Hydrodynamic modelling often uses a cascade of models to simulate hydrodynamic conditions from offshore to shore and to estimate wave runup, overtopping, and flow patterns [39,52,57]. Gallien et al [45] conducted a literature review on coastal flood modelling and underlined the need to integrate the multi-pathway flooding processes (e.g., groundwater and surface dynamics, overtopping and overflow, surface and subsurface sewer flow) into flood mapping.…”

Section: Introductionmentioning

confidence: 99%

Modelling Coastal Flood Propagation under Sea Level Rise: A Case Study in Maria, Eastern Canada

et al. 2019

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Coastal management often relies on large-scale flood mapping to produce sea level rise assessments where the storm-related surge is considered as the most important hazard. Nearshore dynamics and overland flow are also key parameters in coastal flood mapping, but increase the model complexity. Avoiding flood propagation processes using a static flood mapping is less computer-intensive, but generally leads to overestimation of the flood zone, especially in defended urban backshore. For low-lying communities, sea level rise poses a certain threat, but its consequences are not only due to a static water level. In this paper, the numerical process-based model XBeach is used in 2D hydrodynamic mode (surfbeat) to reproduce an observed historical flood in Maria (eastern Canada). The main goal is to assess the impacts of a future storm of the same magnitude in the horizon 2100 according to an increase in sea level rise. The model is first validated from in situ observations of waves and water levels observed on the lower foreshore. Based on field observations of a flood extent in 2010, the simulated flooded area was also validated given a good fit (59%) with the actual observed flood. Results indicate that the 2010 storm-induced surge generated overwash processes on multiple areas and net landward sediment transport and accumulation (washover lobes). The flood was caused by relatively small nearshore waves (Hs < 1 m), but despite small water depth (>1.2 m), high flow velocities occurred in the main street (U > 2 m/s) prior to draining in the salt marsh. The impact of sea level rise on the low-lying coastal community of Maria could induce a larger flood area in 2100, deeper floodwater, and higher flow velocities, resulting in higher hazard for the population.

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Probabilistic mapping of storm-induced coastal inundation for climate change adaptation

Cited by 40 publications

References 42 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)

Simulation-Based Exceedance Probability Curves to Assess the Economic Impact of Storm Surge Inundations due to Climate Change: A Case Study in Ise Bay, Japan

Modelling Coastal Flood Propagation under Sea Level Rise: A Case Study in Maria, Eastern Canada

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