Incorporating uncertainty of groundwater modeling in sea-level rise assessment: a case study in South Florida

Cooper, Hannah; Zhang, Caiyun; Selch, Donna

doi:10.1007/s10584-015-1334-1

Cited by 26 publications

(27 citation statements)

References 23 publications

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“…The result of such an operation is a map containing the spatial distribution of the probable errors, which can be used to indicate the likelihood, or probability, of any location falling above or below a specified elevation, thus this approach is called the "probabilistic" method. There is a long history of treating elevation error probabilistically (Hunter and Goodchild, 1995;Fisher, 1998;Zerger et al, 2002;Wechsler and Kroll, 2006), and the approach has been applied successfully in several recent SLR and flooding assessments Leon et al, 2014;Cooper et al, 2015;Enwright et al, 2017;Fereshtehpour and Karamouz, 2018). In using the probabilistic approach, random error fields that match the error distribution characteristics derived from DEM accuracy assessment are generated and applied spatially.…”

Section: Accounting For Uncertainty In Exposure Assessmentsmentioning

confidence: 99%

“…For large-area assessments (regional, continental, global), several choices are available for DEMs for the required topographic information to project potential impacts of increased coastal water levels, whether a simple inundation model is used or a more complex process-based or probabilistic model is employed. Previous research has demonstrated that the quality of data, and associated transformations, used for elevation-based assessments must be well understood and applied to properly model potential impacts (Gesch, 2009;Coveney and Fotheringham, 2011;Cooper et al, , 2015Gesch, 2013;Schmid et al, 2014;Dahl et al, 2017;Jones et al, 2017;West et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

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Best Practices for Elevation-Based Assessments of Sea-Level Rise and Coastal Flooding Exposure

2018

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Section: Accounting For Uncertainty In Exposure Assessmentsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Best Practices for Elevation-Based Assessments of Sea-Level Rise and Coastal Flooding Exposure

2018

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“…Key inputs and outputs are shown in italics. Both deterministic and geostatistical methods have been used to predict a water table elevation surface from well data in other studies [29][30][31][32]. The dataset used here was not well-suited to kriging because it did not fulfill the assumption of stationarity necessary for this method.…”

Section: Discussionmentioning

confidence: 99%

“…While previous studies established the existence of rising groundwater due to SLR [2,[4][5][6]9,10,22,31], as well as the potential impact at case study sites [2,4,5,28,31,37], this paper provides a method for building a regional-scale view of the potentially widespread impacts on surface flooding, underground infrastructure, and the health of people and ecosystems. Understanding the full range of SLR impacts is essential for prioritizing adaptation investments, and selecting appropriate strategies in coastal cities [15,35,36].…”

Section: Discussionmentioning

confidence: 99%

A Rapid Assessment Method to Identify Potential Groundwater Flooding Hotspots as Sea Levels Rise in Coastal Cities

Plane

Hill

May

2019

Water

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Sea level rise (SLR) will cause shallow unconfined coastal aquifers to rise. Rising groundwater can emerge as surface flooding and impact buried infrastructure, soil behavior, human health, and nearshore ecosystems. Higher groundwater can also reduce infiltration rates for stormwater, adding to surface flooding problems. Levees and seawalls may not prevent these impacts. Pumping may accelerate land subsidence rates, thereby exacerbating flooding problems associated with SLR. Public agencies at all jurisdiction levels will need information regarding where groundwater impacts are likely to occur for development and infrastructure planning, as extreme precipitation events combine with SLR to drive more frequent flooding. We used empirical depth-to-water data and a digital elevation model of the San Francisco Bay Area to construct an interpolated surface of estimated minimum depth-to-water for 489 square kilometers along the San Francisco Bay shoreline. This rapid assessment approach identified key locations where more rigorous data collection and dynamic modeling is needed to identify risks and prevent impacts to health, buildings, and infrastructure, and develop adaptation strategies for SLR.

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“…Finally, our study only considers marine flooding; as sea-level rises, so does the groundwater below. Future research should consider groundwater modeling so that the effect of storm surge on groundwater levels can be examined (Cooper et al 2015).…”

Section: Discussionmentioning

confidence: 99%

Assessing vulnerability: an integrated approach for mapping adaptive capacity, sensitivity, and exposure

et al. 2016

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Making decisions and efficiently allocating resources to reduce the vulnerability of coastal communities requires, among other things, an understanding of the factors that make a society vulnerable to climate and coastal hazards. One way of doing this is through the analysis of spatial data. We demonstrate how to apply GIS methods to spatially represent socioeconomic vulnerability in Grenada, a tropical small island developing state (SIDS) in the Eastern Caribbean. Our model combines spatial features representing variables of social sensitivity, community adaptive capacity, and community exposure to flooding in an integrated vulnerability index. We draw from the fields of climate change adaptation, disaster management, and poverty and development to select our variables enabling unique, cross sector, applications of our assessment. Mapping our results illustrates that vulnerability to flooding is not evenly distributed across the country and is not driven by the same factors in all areas of Grenada. This indicates a need for the implementation of different strategies in communities across Grenada to help effectively reduce vulnerability to climate and coastal hazards. The approach presented in this paper can be used to address national issues on climate change adaptation, disaster management, and poverty and development and more effectively utilize funds in order to reduce community vulnerability to natural hazards today and in the future.

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Incorporating uncertainty of groundwater modeling in sea-level rise assessment: a case study in South Florida

Cited by 26 publications

References 23 publications

Best Practices for Elevation-Based Assessments of Sea-Level Rise and Coastal Flooding Exposure

Best Practices for Elevation-Based Assessments of Sea-Level Rise and Coastal Flooding Exposure

A Rapid Assessment Method to Identify Potential Groundwater Flooding Hotspots as Sea Levels Rise in Coastal Cities

Assessing vulnerability: an integrated approach for mapping adaptive capacity, sensitivity, and exposure

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