Summary
This paper presents a hybrid RMS-WQI modelling approach for assessing groundwater quality in coastal regions. The model achieved high predictive accuracy (R² = 0.97) with minimal uncertainty (<1%) in WQI predictions, demonstrating its utility for environmental monitoring and sustainable management of coastal groundwater resources by regional managers and planners.
UK applicability
Coastal groundwater quality monitoring is relevant to UK environmental management, particularly in areas with saline intrusion risks and agricultural abstraction pressures. The hybrid modelling approach could potentially inform UK Environment Agency protocols for coastal GW assessment, though the study's coastal context and baseline conditions may differ from UK hydrogeological settings.
Key measures
Groundwater quality index (GWQ), Water Quality Index (WQI) scores, model prediction accuracy (R² = 0.97), prediction uncertainty (<1%)
Outcomes reported
The study evaluated the performance of a hybrid RMS-WQI model for assessing groundwater quality (GWQ) in coastal areas. The model's predictive accuracy and uncertainty in estimating water quality index (WQI) scores were measured.
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