ORCID
0000-0002-0602-3196 (Buzzanga)
Document Type
Article
Publication Date
2020
DOI
10.1029/2020GL090013
Publication Title
Geophysical Research Letters
Volume
47
Issue
18
Pages
e2020GL090013 (1-9)
Abstract
Hampton Roads is among the regions along the U.S. Atlantic Coast experiencing high rates of relative sea level rise. Partly to mitigate subsidence from aquifer compaction, Hampton Roads is injecting treated wastewater into the underlying aquifer. However, the GPS (Global Positioning System) station spacing (∼30 km) is too coarse to capture the spatial variability of subsidence and potential uplift from the injection. We present a cost‐effective workflow for generating an InSAR (interferometric synthetic aperture radar) and GPS combined displacement product. We leverage a live, open‐access archive of InSAR products generated from Sentinel‐1 data. We find an overall subsidence rate of −3.6 ± 2.3 mm/year with considerable spatial variability. The effects of groundwater injection are currently below detection. The workflow presented here is an asset for sustained monitoring of the injection effort and regional subsidence that is applicable along the U.S. coasts for assisting in mitigation and adaptation of relative sea level rise.
Rights
© 2020 The Authors
Published under an Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.
Data Availability
Article states: "ARIA standard products are retrieved from the ASF DAAC, which are provided through the NASA Earth Science Data and Information System (ESDIS) project, referenced in text as Bekaert et al. (2019). GPS data are retrieved from the Nevada Geodetic Lab, referenced in text as Blewitt et al. (2018). The rate and associated uncertainty map produced in this work are accessible through the Digital Commons at Old Dominion University, a FAIR certified repository, and are included in the supporting information."
Supporting information can be found online at https://doi.org/10.1029/2020GL090013
Data associated with this publication are available in this repository: https://digitalcommons.odu.edu/ccpo_data/1/ Vertical Land Displacement Rates and Uncertainty in Hampton Roads, VA [Dataset]
Original Publication Citation
Buzzanga, B., Bekaert, D. P., Hamlington, B. D., & Sangha, S. S. (2020). Towards sustained monitoring of subsidence at the coast using InSAR and GPS: An application in Hampton Roads, Virginia. Geophysical Research Letters, 47(18), 1-9, Article e2020GL090013. https://doi.org/10.1029/2020GL090013
Repository Citation
Buzzanga, Brett; Bekaert, David P.S.; Hamlington, Ben D.; and Sangha, Simran S., "Towards Sustained Monitoring of Subsidence at the Coast Using InSAR and GPS: An Application in Hampton Roads, Virginia" (2020). OES Faculty Publications. 390.
https://digitalcommons.odu.edu/oeas_fac_pubs/390