Wind and rain compound with tides to cause frequent and unexpected coastal floods DOI Creative Commons
Thomas Thelen, Katherine Anarde, J. C. Dietrich

и другие.

Water Research, Год журнала: 2024, Номер 266, С. 122339 - 122339

Опубликована: Авг. 28, 2024

With sea-level rise, flooding in coastal communities is now common during the highest high tides. Floods also occur at normal tidal levels when rainfall overcomes stormwater infrastructure that partially submerged by Data describing this type of compound scarce and, therefore, it unclear how often these floods and extent to which non-tidal factors contribute flooding. We combine measurements on roads within storm drains with a numerical model examine processes Carolina Beach, NC, USA - community chronically outside extreme storms despite flood mitigation combat Of 43 non-storm we measured year-long study period, one-third were unexpected based threshold used for monitoring. introduce novel coupling between an ocean-scale hydrodynamic (ADCIRC) community-scale surface water pipe flow (3Di) quantify contributions from multiple drivers. Accounting compounding effects tides, wind, rain increases up 0.4 m compared simulations include only Setup sustained (non-storm) regional winds causes deeper, longer, more extensive tides can cause days would not have occurred due alone. Rainfall contributes floods; because submerge outfalls daily basis, even minor rainstorms lead as runoff has nowhere drain. As particularly low-lying community, Beach provides glimpse into future challenges worldwide will face predicting, preparing for, adapting increasingly frequent drivers atop rise.

Язык: Английский

Artificial Intelligence for Flood Risk Management: A Comprehensive State-of-the-Art Review and Future Directions DOI
Zhewei Liu, Natalie Coleman, Flavia Ioana Patrascu

и другие.

International Journal of Disaster Risk Reduction, Год журнала: 2024, Номер 117, С. 105110 - 105110

Опубликована: Дек. 19, 2024

Язык: Английский

Процитировано

4
Flooding is Not Like Filling a Bath DOI Creative Commons
Brett F. Sanders, Oliver Wing, Paul Bates

и другие.

Earth s Future, Год журнала: 2024, Номер 12(12)

Опубликована: Дек. 1, 2024

Abstract Damage and disruption from flooding have rapidly escalated over recent decades. Knowing who what is at risk, how these risks are changing, driving changes of immense importance to flood management policy. Accurate predictions risk also critical public safety. However, many high‐profile research studies reporting national global scales rely upon a significant oversimplification floods behave—as level pool—an approach known as bathtub modeling that avoided in practice due biases (e.g., >200% error area) compared physics‐based modeling. With publicity by news media, findings would likely not be trusted professionals thus widely communicated policy makers the public, scientific credibility put maladaptation becomes more likely. Here, we call researchers abandon studies, for those involved peer‐review process ensure conclusions impact analyses consistent with limitations assumed physics. We document uncertainties both coastal inland geographies, present examples approaches suited large‐scale applications. Reducing hazard estimates will sharpen understanding changing risks, better serve needs makers, enable media objectively report future inform adaptation planning.

Язык: Английский

Процитировано

3
Funding rules that promote equity in climate adaptation outcomes DOI Creative Commons
Adam Pollack, Sara Santamaria-Aguilar, Pravin Maduwantha

и другие.

Proceedings of the National Academy of Sciences, Год журнала: 2025, Номер 122(2)

Опубликована: Янв. 7, 2025

Many climate policies adopt improving equity as a key objective. A challenge is that often conceive of in terms individuals but introduce strategies focus on spatially coarse administrative areas. For example, the Justice40 Initiative United States requires 518 diverse federal programs to prioritize funds for “disadvantaged” census tracts. This strategy largely untested and contrasts with government’s definition “consistent systematic fair, just impartial treatment all (Executive Office President, Federal Register, 2021).” How well does approach improve adaptation outcomes across ? We analyze this question using case study municipality faces repetitive flooding struggles effectively manage these risks due limited resources public investment. find way Emergency Management Agency implements can be an obstacle promoting household flood-risk outcomes. study, ensuring majority benefits accrue “Justice40 Communities” not reduce risk most burdened households, risk-burden inequality, produces net costs. In contrast, we design simple funding rules based burden cost-effectively target large benefits. Our findings suggest “disadvantaged community” indicators defined at spatial scales face poorly capturing many ineffective meeting promises about climate-related investments.

Язык: Английский

Процитировано

0
Profiles of Social Vulnerability for Flood Risk Reduction DOI
Eric Tate, Samuel Rufat, Md Asif Rahman

и другие.

International Journal of Disaster Risk Reduction, Год журнала: 2025, Номер unknown, С. 105250 - 105250

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0
Mapping global financial risks under climate change DOI
Antoine Mandel, Stefano Battiston, Irene Monasterolo

и другие.

Nature Climate Change, Год журнала: 2025, Номер unknown

Опубликована: Фев. 5, 2025

Язык: Английский

Процитировано

0
Determining the Relative Contributions of Runoff, Coastal, and Compound Processes to Flood Exposure Across the Carolinas During Hurricane Florence DOI Creative Commons
Lauren Grimley, Antonia Sebastian, Tim Leijnse

и другие.

Water Resources Research, Год журнала: 2025, Номер 61(3)

Опубликована: Март 1, 2025

Abstract Estimates of flood inundation generated by runoff and coastal processes during tropical cyclones (TCs) are needed to better understand how exposure varies inland at the coast. While reduced‐complexity models have been previously shown efficiently simulate TC across large regions, a lack detailed validation studies these models, which being applied globally, has led uncertainty about quality predictions depth extent this translates exposure. In study, we complete comprehensive hydrodynamic model (SFINCS) for simulating pluvial, fluvial, flooding. We hindcast Hurricane Florence (2018) flooding in North South Carolina, USA using high‐resolution meteorologic data water level output from an ocean recirculation (ADCIRC). Modeled levels compared traditional datasets (e.g., gages, high marks) as well property‐level records insured damage draw conclusions model's performance. SFINCS shows skill (peak error 0.11 m with RMSE 0.92 m) scales minimal computational requirements limited calibration. use validated attribute building runoff, coastal, compound) Florence. The results highlight critical role support need broader implementation capable realistically representing compound effects resulting processes.

Язык: Английский

Процитировано

0
Spatial inequities in greenspace: a spatial durbin model analyzing socio-demographic factors, heat risk, and neighborhood effects DOI
Margaret M. Sugg, Sophia C. Ryan,

Heather A. Rankins

и другие.

GeoJournal, Год журнала: 2025, Номер 90(2)

Опубликована: Апрель 9, 2025

Язык: Английский

Процитировано

0
Remote Sensing Improves Multi‐Hazard Flooding and Extreme Heat Detection by Fivefold Over Current Estimates DOI Creative Commons
Matthew Preisser, Paola Passalacqua

AGU Advances, Год журнала: 2025, Номер 6(2)

Опубликована: Апрель 1, 2025

Abstract The co‐occurrence of multiple hazards is growing concern globally as the frequency and magnitude extreme climate events increases. Despite studies examining spatial distribution such events, there has been little work in if all relevant life threatening damaging are captured existing hazard databases by common metrics. For example, local/regional flash flooding seldom optical satellite instruments subsequently excluded from global databases. Similarly, heat definitions most frequently used multi‐hazard inherently fail to capture that life‐threatening but climatologically within an expected range. Our goal determine potential for increasing event detection capabilities inferring additional footprints widely accessible data. We use daily precipitation temperature data develop open‐source framework infers not included traditional methods. With state Texas our study area, we detected 2.5 times many flood hazards, equivalent $320 million property crop damages. Furthermore, expanded definition increases impacted area 56.6%, 91.5 over 18 year period. Increasing expanding using temporal resolutions at which detected. Having more complete sets extents improves ability track trends accurately exposure inequities.

Язык: Английский

Процитировано

0
Wind and rain compound with tides to cause frequent and unexpected coastal floods DOI Creative Commons
Thomas Thelen, Katherine Anarde, J. C. Dietrich

и другие.

Water Research, Год журнала: 2024, Номер 266, С. 122339 - 122339

Опубликована: Авг. 28, 2024

With sea-level rise, flooding in coastal communities is now common during the highest high tides. Floods also occur at normal tidal levels when rainfall overcomes stormwater infrastructure that partially submerged by Data describing this type of compound scarce and, therefore, it unclear how often these floods and extent to which non-tidal factors contribute flooding. We combine measurements on roads within storm drains with a numerical model examine processes Carolina Beach, NC, USA - community chronically outside extreme storms despite flood mitigation combat Of 43 non-storm we measured year-long study period, one-third were unexpected based threshold used for monitoring. introduce novel coupling between an ocean-scale hydrodynamic (ADCIRC) community-scale surface water pipe flow (3Di) quantify contributions from multiple drivers. Accounting compounding effects tides, wind, rain increases up 0.4 m compared simulations include only Setup sustained (non-storm) regional winds causes deeper, longer, more extensive tides can cause days would not have occurred due alone. Rainfall contributes floods; because submerge outfalls daily basis, even minor rainstorms lead as runoff has nowhere drain. As particularly low-lying community, Beach provides glimpse into future challenges worldwide will face predicting, preparing for, adapting increasingly frequent drivers atop rise.

Язык: Английский

Процитировано

1