2023
DOI: 10.1088/1748-9326/acce4e
|View full text |Cite
|
Sign up to set email alerts
|

Spatial distribution of socio-demographic and housing-based factors in relation to flash and slow-rise flooding hazards in the U.S

Abstract: Previous studies have drawn attention to racial and socioeconomic disparities in exposures associated with flood events at varying spatial scales, but most of these studies have not differentiated flood risk. Assessing flood risk without differentiating floods by their characteristics (e.g., duration and intensity of precipitation leading to flooding) may lead to less accurate estimates of the most vulnerable locations and populations. In this study, we compare the spatial patterning of social vulnerability, t… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
1
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
3
1

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(2 citation statements)
references
References 66 publications
(112 reference statements)
0
1
0
Order By: Relevance
“…Density of population was considered due to its positive correlation with flood risk; higher population density tends to lower resilience levels [44]. In regions with a higher proportion of socially vulnerable groups, the proportion of flooded areas in the floodplain tends to increase [45]. Conversely, an increase in the number of individuals covered by health insurance can mitigate this risk.…”
Section: Secondary Indicatorsmentioning
confidence: 99%
“…Density of population was considered due to its positive correlation with flood risk; higher population density tends to lower resilience levels [44]. In regions with a higher proportion of socially vulnerable groups, the proportion of flooded areas in the floodplain tends to increase [45]. Conversely, an increase in the number of individuals covered by health insurance can mitigate this risk.…”
Section: Secondary Indicatorsmentioning
confidence: 99%
“…Among them consequences of extreme meteorological events, like heat waves (Robine et al 2007 ; Barriopedro et al 2011 ; Gabriel and Endlicher 2011 ; Urban et al 2014 ; Graczyk et al 2019 ; Kuchcik 2021 ), droughts (Bachmair et al 2017 ; Van Lanen et al 2016 ; Bastos et al 2020 ; Gu et al 2020 ; Pińskwar et al 2020 ; Yang et al 2023 ), or flooding (cf. Kron et al 2019 ; Kundzewicz et al 2020 ; Sieg and Thieken 2022 ; Lu et al 2023 ; Oke et al 2023 ), are the most presented around the world.…”
Section: Introductionmentioning
confidence: 99%