Assessing the costs of sea-level rise and extreme flooding at the local level: A GIS-based approach

Lichter, Michal; Felsenstein, Daniel

doi:10.1016/j.ocecoaman.2011.12.020

Cited by 52 publications

(24 citation statements)

References 20 publications

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“…Current literature on SLR indicates that assessment of spatial and temporal variability of SLR is more important and more complex than the global temporal assessment of SLR in oceans, as demonstrated in [6][7][8]. A host of studies have analyzed spatial variations of potential SLR at global, regional, and local scales based on localized coastal sea level data [1,2,[9][10][11][12][13]. Although these are important contributions, issues still exist in the methods used for this purpose when predictive analysis is the goal.…”

Section: Introductionmentioning

confidence: 99%

Spatial Variation of Sea Level Rise at Atlantic and Mediterranean Coastline of Europe

Aral

Chang

2017

Water

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The inundation impact of sea level rise (SLR) is critical, since coastal regions of Europe house important critical infrastructures and large population centers. According to International Panel on Climate Change (IPCC) studies, the analysis of the SLR problem is complicated. Beyond the reported complexities involved in the analysis of this phenomenon, the expected spatial variability of SLR in oceans further complicates this analysis. Spatial variability of SLR in oceans is both observed and also expected, according to IPCC studies. Estimation of spatial variation of SLR in oceans is necessary to identify the level of potential threats that may impact different coastline regions. Identification of geographic patterns of SLR based on local coastal data has been reported in the literature. Unfortunately, these estimates cannot be used in predictive analysis over a century. Thus, the solution of this problem using mathematical models is the other alternative that can be employed. Modeling solutions to this problem is currently in its infancy, and further studies in this field are needed. In this study, a methodology developed by the authors is used to estimate the SLR for the Atlantic and the Mediterranean coastline of Europe that also includes the other oceans. This effort utilizes the dynamic system model (DSM) with spatial analysis capability (S-DSM) to predict the regional sea level change. Results obtained provide consistent assessment of spatial variability of SLR pattern in oceans as well as the temperature changes over the 21st century. This approach may also be used in other coastal regions to aid management decision in a timely manner.

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Section: Introductionmentioning

confidence: 99%

Spatial Variation of Sea Level Rise at Atlantic and Mediterranean Coastline of Europe

Aral

Chang

2017

Water

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“…We then calculate the value of buildings according to their land use and floor space. Inhabitants' socio-economic attributes are proportionally allocated to each building, using a methodology described in Lichter and Felsenstein (2012). The disaggregated building level data serves as the basis for the further disaggregation at the level of the individual.…”

Section: Context and Datamentioning

confidence: 99%

“…In order to characterize population flows we calculate a normalized weighted composite 'Social Vulnerability Index' (SVI; see Lichter and Felsenstein 2012) at the level of the building. The relative weights of the elements comprising the index reflect their contribution to aggregate socio-economic vulnerability.…”

Section: Spatial and Temporal Population Dynamicsmentioning

confidence: 99%

Planning Support Systems and Smart Cities

Geertman¹,

Ferreira²,

Goodspeed³

et al. 2015

Lecture Notes in Geoinformation and Cartography

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“…Many coastal regions have been investigated under scenarios of SLR with focuses on different aspects, such as astronomical tidal variations on the European shelf (Pickering et al, 2012) and extreme flooding, with its economic costs and the related social vulnerability around coastal regions (Nicholls and Leatherman, 1995;Frazier et al, 2010;Lichter and Felsenstein, 2012). These previous studies indicate that SLR would pose significant threats to low-lying regions.…”

Section: Introductionmentioning

confidence: 99%

“…Generally, three major methods are used to investigate SLR impacts and to produce shoreline retreat and flooding maps: the probabilistic method (Purvis et al, 2008), geographic information system-based assessment and numerical simulation (i.e. El-Raey, 1997;Liu, 1997;Hubbert and McInnes, 1999;Nicholls et al, 1999;Nicholls, 2002;Samuels and Burt, 2002;Wu et al, 2002;Ritchie et al, 2004;Brown, 2005;Dawson et al, 2005;Tian et al, 2010;Lichter and Felsenstein, 2012). In these methods, the numerical hydrodynamic model not only has the capability of producing flood maps under given scenarios but is also able to reveal the nonlinear interactions among the SLR, the background astronomical tides and remote storm surges and their propagation.…”

Section: Introductionmentioning

confidence: 99%

Simulating storm flooding maps over HafenCity under present and sea level rise scenarios

Much

Kappenberg

et al. 2013

J Flood Risk Management

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Global climate models have predicted a mean sea level rise between 0.18 m and 0.59 m by the end of the 21st century with high regional variability. The projected sea level rise due to global warming would inundate low-lying areas. A high-resolution unstructured-grid Finite-Volume Coastal and Ocean Model is applied to perform a simulation and prediction of the flooding process because of storm impacts around HafenCity under today's conditions and under scenarios of future sea level rise. The results show significant flooding under strong storm processes, such as the winter storm 'Anatol' in 1999. The flood coverage will be significantly increased under short-, middle-and long-term sea level rise scenarios. The peak flood levels will rise according to the respective sea level rise while the flood area will increase by 18% (2025), 34% (2055) and 54% (2085). The maximum flood height and area for the three sea level rise scenarios will reach ∼6.8 m and ∼4.1 × 10 5 m 2 , respectively. The most impacted area will be the region between the Baakenhafen (zone 12) and the Oberhafen/Oberhafenkanal. In the long-term scenario (2085), flooding near the Magdeburger Hafen and Norderelbe will also increase. Coastal defence measures should be taken to ensure flood protection around HafenCity. bs_bs_banner J Flood Risk Management 7 (2014) 319-331

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Assessing the costs of sea-level rise and extreme flooding at the local level: A GIS-based approach

Cited by 52 publications

References 20 publications

Spatial Variation of Sea Level Rise at Atlantic and Mediterranean Coastline of Europe

Spatial Variation of Sea Level Rise at Atlantic and Mediterranean Coastline of Europe

Planning Support Systems and Smart Cities

Simulating storm flooding maps over HafenCity under present and sea level rise scenarios

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