2020
DOI: 10.1007/s11069-020-04096-4
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Assessing storm surge impacts on coastal inundation due to climate change: case studies of Baltimore and Dorchester County in Maryland

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Cited by 34 publications
(20 citation statements)
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“…More than one-third of the US gross national product is generated in the coastal zone (Marra et al, 2007). Recent catastrophic events such as Hurricanes Katrina in 2005, Sandy in 2012, and Florence in 2018 have shown that coastal communities are at great risk of coastal inundation caused by storm surges and sea-level rise (Li et al, 2020).…”
Section: Introductionmentioning
confidence: 99%
“…More than one-third of the US gross national product is generated in the coastal zone (Marra et al, 2007). Recent catastrophic events such as Hurricanes Katrina in 2005, Sandy in 2012, and Florence in 2018 have shown that coastal communities are at great risk of coastal inundation caused by storm surges and sea-level rise (Li et al, 2020).…”
Section: Introductionmentioning
confidence: 99%
“…Importantly, our results suggest that marshes can be managed for multiple bene ts, with grazing generally having only small in uences on wave attenuation and surge mitigation -indicating that maintaining or enhancing marsh extent, rather than grazing pressure, should be a priority for ood mitigation management. Looking ahead, as climate change is predicted to bring increasing frequencies 3 , and magnitudes 10,14,83 of large storms, with current 1 in 100 year storm water level events expected annually by 2100 84 , our results indicate that appropriate valuation and effective management of marshes is paramount to mitigate rising risks of ooding and its social and economic impacts.…”
Section: Discussionmentioning
confidence: 89%
“…The higher the value in RCP scenario, the more energy the earth-atmosphere system gets and heats up (Weyant et al 2009). RCP 4.5 and RCP 8.5 designate the expectable and the worst scenarios in the future; therefore, they are representative of medium (delayed action) and high (growing) emission scenarios, respectively Li et al 2020).…”
Section: Future Climate Data and The Bias Correction Methodsmentioning
confidence: 99%