HydroSight

HydroSight implements joint estimation of gross recharge, transmissivity, storativity, and daily groundwater usage from groundwater time-series to quantify aquifer behavior and support hydrogeological analysis.

Key Features:

• Joint Estimation Framework: Jointly estimates gross recharge, transmissivity, storativity, and daily groundwater usage across multiple production bores to address unavailable or uncertain hydraulic properties.
• Genetic Evolutionary Scheme: Employs a genetic evolutionary scheme to estimate time-series model parameters and usage estimates that align with metered volumes, fit observed hydrographs, and generate plausible actual evapotranspiration for recharge refinement.
• Data Quality Analysis Module: Includes a data quality analysis module that rigorously tests model calibrations to ensure consistency and accuracy in parameter estimation.
• Flexibility and Scalability: Supports building models for individual bores or scaling to hundreds of bores for statistical identification of dominant processes and quantification of aquifer heterogeneity.

Scientific Applications:

• Aquifer Characterization: Estimates transmissivity, storativity, and recharge to support detailed aquifer property characterization.
• Groundwater Usage Analysis: Models daily groundwater usage patterns to inform consumption trend analysis and sustainable management planning.
• Scenario Exploration: Enables exploration of usage and climatic scenarios to predict potential impacts on aquifer systems.
• Case-study Validation (Warrion, Australia): Demonstrated high coefficients of efficiency across numerous observation bores in the Warrion groundwater management area.

Methodology:

Time-series modeling combined with a genetic evolutionary scheme for joint estimation of recharge, transmissivity, storativity, and usage aligned with metered volumes, accompanied by data quality analysis and repeated calibrations to test consistency.