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| Created: | Apr 15, 2026 at 2:31 p.m. (UTC) | |
| Last updated: | Apr 15, 2026 at 7:43 p.m. (UTC) | |
| Citation: | See how to cite this resource | |
| Content types: | CSV Content |
| Sharing Status: | Discoverable (Accessible via direct link sharing) |
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Abstract
Groundwater dynamics in low-lying coastal regions are influenced by hydrologic drivers such as rainfall and tidal fluctuations, with important implications for on-site wastewater systems. This study presents a high-resolution groundwater monitoring dataset collected from a network of wells in Edisto, South Carolina, aimed at characterizing temporal variations in water levels and assessing their interaction with septic systems. Water level data were recorded at sub-hourly intervals using pressure loggers, with atmospheric pressure corrections applied to derive pressure head and hydraulic head. Surface elevations were obtained from high-resolution LiDAR data to enable consistent calculation of depth to water and hydraulic heads. The dataset spans multiple months and captures a range of hydrologic conditions, including precipitation events and tidal cycles. Preliminary analysis indicates that groundwater levels exhibit both short-term responses to rainfall recharge and periodic fluctuations driven by tidal forcing, reflecting the coupled influence of atmospheric and coastal processes. These dynamics are critical in shallow aquifer systems where elevated water tables can reduce soil treatment capacity and thickness of the unsaturated zone, which can increase the risk of septic system failure or groundwater impairment. This dataset provides a valuable foundation for evaluating groundwater–septic system interactions in coastal environments. It also supports the development of predictive models for groundwater impairment under changing hydrologic conditions. The findings contribute to improved understanding of coastal groundwater behavior and inform management strategies for wastewater infrastructure in vulnerable low-elevation settings.
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Funding Agencies
This resource was created using funding from the following sources:
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| U.S. National Science Foundation | None | None |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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