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Coastal flooding poses the greatest threat to human life and is often the most common source of damage from coastal storms. From 1980 to 2020, the top 6, and 17 of the top 25, costliest natural disasters in the U.S. were caused by coastal storms, most of these tropical systems. The Delaware and Chesapeake Bays, two of the largest and most densely populated estuaries in the U.S. located in the Mid-Atlantic coastal region, have been significantly impacted by strong tropical cyclones in recent decades, notably Hurricanes Isabel (2003), Irene (2011), and Sandy (2012). Current scenarios of future climate project an increase in major hurricanes and the continued rise of sea levels, amplifying coastal flooding threat. We look at all North Atlantic tropical cyclones (TC) in the International Best Track Archive for Climate Stewardship (IBTrACS) database that came within 750 km of the Delmarva Peninsula from 1980 to 2019. For each TC, skew surge and storm tide are computed at 12 NOAA tide gauges throughout the two bays. Spatial variability of the detrended and normalized skew surge is investigated through cross-correlations, regional storm rankings, and comparison to storm tracks. We find Hurricanes Sandy (2012) and Isabel (2003) had the largest surge impact on the Delaware and Chesapeake Bay, respectively. Surge response to TCs in upper and lower bay regions are more similar across bays than to the opposing region in their own bay. TCs that impacted lower bay more than upper bay regions tended to stay offshore east of Delmarva, whereas TCs that impacted upper bay regions tended to stay to the west of Delmarva. Although tropical cyclones are multi-hazard weather events, there continues to be a need to improve storm surge forecasting and implement strategies to minimize the damage of coastal flooding. Results from this analysis can provide insight on the potential regional impacts of coastal flooding from tropical cyclones in the Mid-Atlantic.
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Building adaptive capacity to address coastal flooding: The case of a small Texas City
Coastal flooding is a severe and recurring problem, as evidenced by recent disasters that have caused significant damage for coastal communities. A community’s ability to mitigate the effects of coastal flooding depends on the local context and its adaptive capacity. Although past research has highlighted the important role that non-governmental organizations play in building adaptive capacity to support effective adaptation, few studies have focused specifically on rural, community-based nonprofits. To fill this gap, we employ a mixed-methods approach to evaluate the role of the Ingleside on the Bay Coastal Watch Association (IOBCWA), a resident-led, community-based nonprofit, in building adaptive capacity to coastal flooding in the City of Ingleside on the Bay (IOB; pop. 800), located in the Coastal Bend Region of Texas. By applying a grounded theory framework, we show that IOBCWA has improved the adaptive capacity of IOB through five primary activities: engaging in community organizing, boosting advocacy and outreach, implementing evidence-based data collection, building capacity among residents, and developing regional communication networks. Our findings are further examined using the Regional Fingerprint tool (Hirschfeld et al., 2020) to assess progress toward building regional adaptive capacity. We identify a need for more formalized policies, enhanced regional partnerships, and broader inclusion of socially vulnerable groups to address environmental challenges. Overall, this work highlights the important role that small, community-based nonprofits like IOBCWA play in building community adaptive capacity and suggests the need for a more comprehensive regional approach with participation from multiple stakeholders to address challenges related to coastal flooding.
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- Award ID(s):
- 2231557
- PAR ID:
- 10525895
- Publisher / Repository:
- Elsevier
- Date Published:
- Journal Name:
- Environmental Science & Policy
- Volume:
- 151
- ISSN:
- 1462-9011
- Page Range / eLocation ID:
- 103599
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.1016/j.envsci.2023.103599
