2021
DOI: 10.1038/s41467-021-27260-1
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Assessing population exposure to coastal flooding due to sea level rise

Abstract: The exposure of populations to sea-level rise (SLR) is a leading indicator assessing the impact of future climate change on coastal regions. SLR exposes coastal populations to a spectrum of impacts with broad spatial and temporal heterogeneity, but exposure assessments often narrowly define the spatial zone of flooding. Here we show how choice of zone results in differential exposure estimates across space and time. Further, we apply a spatio-temporal flood-modeling approach that integrates across these spatia… Show more

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Cited by 98 publications
(25 citation statements)
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“…Second, we assume no adaptation—future flood thresholds are the same as present‐day flood thresholds (Ghanbari et al., 2019; Hague et al., 2020; Sweet et al., 2018; Thompson et al., 2021). Finally, we assume that SLR manifests as an increase in tide heights, increasing the water levels about which tides rise and fall, but not the heights of skew surges (Dahl et al., 2017; Dusek et al., 2022; Hauer et al., 2021; Ray & Foster, 2016; Sweet et al., 2018). In aggregate, these three assumptions mean freeboard only changes in response to SLR (via increases in tide heights) with TR and ESS values constant.…”
Section: Methodsmentioning
confidence: 99%
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“…Second, we assume no adaptation—future flood thresholds are the same as present‐day flood thresholds (Ghanbari et al., 2019; Hague et al., 2020; Sweet et al., 2018; Thompson et al., 2021). Finally, we assume that SLR manifests as an increase in tide heights, increasing the water levels about which tides rise and fall, but not the heights of skew surges (Dahl et al., 2017; Dusek et al., 2022; Hauer et al., 2021; Ray & Foster, 2016; Sweet et al., 2018). In aggregate, these three assumptions mean freeboard only changes in response to SLR (via increases in tide heights) with TR and ESS values constant.…”
Section: Methodsmentioning
confidence: 99%
“…Hence, we do not consider these processes further here, focusing on so‐called “still” water levels. This follows the approach of many other global and national coastal flood hazard studies (Hauer et al., 2021; Kulp & Strauss, 2019; Rasmussen et al., 2018).…”
Section: Introductionmentioning
confidence: 99%
“…This assumption is often called 'uniform population density' . Some [11,27,30] operationalized this assumption by using (or creating) a raster layer of population density whose grid matched the elevation data, based on the assumption that the population within a given census block is uniformly distributed throughout the block. By contrast, this study (like some older studies [12,29]) defines each hazard zone as a set of polygons representing the portions of census blocks within the hazard zone.…”
Section: Interpolating Vulnerability Data To Match the Hazard Zonementioning
confidence: 99%
“…Coastal flooding exacerbated by climate change driven sea level rise in the 21 st Century (21C) is recognized as a major existential threat that will affect the livelihoods of more than 1 billion people globally [1,2]. This includes between a quarter to more than half of all people living in Pacific Islands [3].…”
Section: Introductionmentioning
confidence: 99%