STORMTOOLS, Coastal Environmental Risk Index (CERI) Risk and Damage Assessment App

Spaulding, Malcolm L.; Grilli, Annette R.; Damon, Chris; McKenna, Brian; Christensen, Michael L.; Vinhateiro, Nathan; Fugate, Grover

doi:10.3390/jmse8020129

Cited by 5 publications

(3 citation statements)

References 10 publications

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“…In the interest of making the results of STORMTOOLS CERI more widely available, a mobile phone app was developed to allow the user to estimate the damage to a structure at any location [3] in the coastal flooding zone. The user can select the structure type and its location, and the SLR scenario of interest.…”

Section: Discussionmentioning

confidence: 99%

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Development and Application of STORMTOOLS Design Load (SDL) Maps

Silverman

Engelman

Leone³

et al. 2021

JMSE

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Under the STORMTOOLS initiative, maps of the impact of sea level rise (SLR) (0 to 12 ft), nuisance flooding (1–10 yr), 25, 50, and 100 yr storms, and hindcasts of the four top ranked tropical storms have been developed for the coastal waters of Rhode Island (RI). Estimates of the design elevations, expressed in terms of the Base Flood Elevation (BFE) and thus incorporating surge and associated wave conditions, have also been developed, including the effects of SLR to facilitate structural design. Finally, Coastal Environmental Risk Index (CERI) maps have been developed to estimate the risk to individual structures and infrastructure. CERI employs the BFE maps in concert with damage curves for residential and commercial structures to make estimates of damage to individual structures. All maps are available via an ArcGIS Hub. The objective of this senior design capstone project was to develop STORMTOOLS Design Load maps (SDL) with a goal of estimating the hydrostatic, hydrodynamic, wave, and debris loading, based on ASCE/SEI 7–16 Minimum Design Standards methods, on residential structures in the RI coastal floodplain. The resulting maps display the unitized loads and thus can be scaled for any structure of interest. The goal of the maps is to provide environmental loads that support the design of structures, and reduce the time and cost required in performing the design and the permitting process, while also improving the accuracy and consistency of the designs. SDL maps were generated for all loads, including the effects of SLR for a test case: the Watch Hill/Misquamicut Beach, Westerly, along the southern RI coast. The Autodesk Professional Robot Structural Analysis software, along with SDL loading, was used to evaluate the designs for selected on-grade and pile-elevated residential structures. Damage curves were generated for each and shown to be consistent with the US Army Corps of Engineers empirical damage curves currently used in CERI.

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Section: Discussionmentioning

confidence: 99%

“…In 2016 STORMTOOLs was extended to include a Coastal Environmental Risk Index (CERI) [2][3][4][5] and the supporting STORMTOOLS Design Elevation (SDE) maps [6]. CERI was developed to provide estimates of the damage to individual structures in coastal areas affected by inundation and waves [2].…”

Section: Introductionmentioning

confidence: 99%

Development and Application of STORMTOOLS Design Load (SDL) Maps

Silverman

Engelman

Leone³

et al. 2021

JMSE

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“…Assessment App [12] To assess the risk from flooding and the associated damage to the individual structure level…”

Section: Stormtools Ceri Risk and Damagementioning

confidence: 99%

An alternative flood measurement approach: Flood Meter

Osman

Rizal

Zaini

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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Flash floods commonly occur in urban areas due to a short period of heavy rainfall associated with the large impervious area and inadequate drainage system. An increase in the uncertainty of predicting flash floods, especially due to climate change, reduces the accuracy of the existing flood forecasting system. In such cases, the affected zone’s actual flood level data is required for more effective flood management and incident response. This study aims to develop a mobile application called Flood Meter to identify flood levels in real-time. It measured the flood level based on object scale and images taken by mobile phones. Although the validation using an actual flood event with three different types of mobile phones shows lack of accuracy but by considered the maximum flood level only 0.17 m and the result keep improving when flood level increase, it shows a potentially good agreement compared with manual measurement. The application can become an alternative method to disseminate accurate real-time flood situations as well as flood data collection for future flood risk management.

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