Dr. Dokou will present research findings on the recovery of the Grand Bahama water resources post-hurricane Dorian
The work presented at AGU this year is to assess the recovery rate of the local aquifer in Grand Bahama from saltwater contamination from flooding that occurred in 2019 when hurricane Dorian hit the island as a category 5 storm. To this end, a field campaign was conducted in 2020 focusing on the collection of soil and groundwater samples, as part of a National Science Foundation RAPID project. In-situ measurements of electrical conductivity, total dissolved solids, salinity, temperature, and water levels were collected in multiple wells within and outside the inundated area. Soil cores and surficial samples at various locations were also analyzed to determine the distribution of salt within the soil profile. The results of this campaign were presented in previous work by Dokou et al. (2020).
A field campaign was conducted in 2020 on Grand Bahama focusing on the collection of soil and groundwater samples, as part of a National Science Foundation RAPID project.
The work to be presented at the conference focuses on the use of the collected data and specifically on the development of a three-dimensional, density dependent flow and transport model using SEAWAT which simulates the saltwater intrusion process in the local aquifer system, which consists of a fragile freshwater lens (FWL). The model is used to predict the saltwater intrusion extent, its temporal dynamics and the FWL recovery rate.
Are you attending AGU this Fall? If so come check out our poster:
Abstract Title: Modeling the Storm-induced Salinization and Assessing the Aquifer Recovery Rate in Grand Bahama Island Post Hurricane Dorian
Authors: Zoi Dokou, Layla Al Baghdadi, Nivea Mazzoni, Andrew Moxey, Efthymios Nikolopoulos
Final Paper Number: H35J-1258, Presentation Type: Poster
Session Number and Title: H35J: Coastal Hydrology V Poster
Session Date and Time: Wednesday, December 14th; 2:45 PM - 6:15 PM CST
Location: McCormick Place, Poster Hall, Hall A
Acknowledgment: This material is based upon work supported by the National Science Foundation under Grant No. 2015311. The authors would like to thank Grand Bahama Utility Company (GBUC) for their support.
Comments