Groundwater Harvest Volume Estimation Using Dynamic Piezometric Data
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Solution Overview
Problem
Current methods for determining the maximum harvestable volume of groundwater are overly conservative and do not account for real-time hydrogeological changes, providing unrealistic estimates that do not reflect actual usage patterns or aquifer replenishment, leading to inefficiencies and increased operational costs.
Innovation Solution
A method involving continuous water table measurements by sensors at harvesting points and reference piezometers, processing data to create pseudo-static and dynamic water table records, determining drawdown and apparent transmissivity values, and calculating a maximum permissible harvestable volume using the Cooper-Jacob relationship, which accounts for hydrogeological conditions and usage patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If simplified graphic, statistical and/or analytical processes are used to estimate harvestable volume, then ease of operation is improved, but measurement precision deteriorates
Solution Approach 1:
The invention transforms the estimation approach by changing from static simplified parameters to dynamic parameters that evolve over time. The system uses temporal variations in water levels and pumping rates to calculate time-dependent harvestable volumes, maintaining simplicity while improving precision through the use of variable parameters rather than fixed values.
Solution Approach 2:
The invention introduces dynamics into the estimation process by considering temporal variations in hydrogeological parameters. Instead of using fixed static values, the system continuously updates the harvestable volume estimate based on changing water levels, pumping rates, and aquifer response over time, thereby improving measurement precision while maintaining operational simplicity.
2Reliability
If conservative single-value estimates are used for maximum harvestable volume, then reliability is improved, but productivity deteriorates
Solution Approach 1:
The invention replaces static conservative estimates with dynamic time-variable estimates that adapt to current hydrogeological conditions. By continuously updating the harvestable volume based on real-time or historical water level data and pumping rates, the system maintains reliability through scientifically grounded calculations while improving productivity by allowing higher extraction rates when aquifer conditions permit.
Solution Approach 2:
The system incorporates feedback mechanisms by using observed water level responses to pumping to calibrate and update harvestable volume estimates. The temporal relationship between pumping rates and water level changes provides feedback that refines the estimation model, ensuring reliability while optimizing the harvestable volume to maximize productivity without compromising aquifer sustainability.
3Ease of operation
If long-term consistent flow assumptions are made, then ease of operation is improved, but measurement precision deteriorates
Solution Approach 1:
The invention addresses the inaccuracy of long-term consistent flow assumptions by introducing temporal dynamics into the calculation. Instead of assuming constant flow rates over decades, the system uses time-variable pumping rates and water levels that reflect actual operational patterns and natural aquifer fluctuations, thereby improving measurement precision while maintaining ease of operation through systematic data processing.
Data Source
AI summary
The invention relates to a method for determining a maximum allowable volume of water that can be removed over time from an underground water source, the volume of water being removed at a removal point and the hydrogeological state of the underground water source being qualified by piezometric measurements on a reference piezometer, the method being characterized in that it includes, in particular, a continuous measurement by a first piezometric level sensor on the removal point, the sensor having a first log of available data over a predetermined period that has passed; and another continuous measurement by a second piezometric level sensor on the reference piezometer, the second sensor having a second log of available data over the predetermined period that has passed; the method also comprising subsequent steps implemented by a calculation machine.