Tagging and Tracking Pumping Influence Provides Critical New Insight Across Monitoring Networks
Tagging and Tracking Pumping Influence Provides Critical New Insight Across Monitoring Networks
Presented on Monday, December 3, 2018
Removing the influence of pumping from groundwater-level data sets, manually or algorithmically, is cumbersome, error prone, and limits network data density. Conversely, water use and pumping from production wells may be a previously undocumented, but critical influence on real groundwater-level change across a network. A new method for tracking and tagging the influence of pumping on groundwater-level measurements supports accurate and more efficient interpretation of how pumping influences groundwater levels across a monitoring network. Using a simple current transducer to track pumping activity, a groundwater-level system is able to assign tags to capture the situation of the well and pump at the time of the reading. A “Timed” sensor reading tag reflects the absence of pumping, “Pump Influence” is a timed reading taken when the pump is running or within the recovery period. If pumping specific duty is necessary, or useful, tags can be applied to groundwater-level readings that reflect pumping drawdown and well recovery for each pumping event. With each groundwater-level reading tagged either Timed, Pump Influenced, Pump Start, Pump Stop, or Well Recovery, the identification of static and pumping influenced groundwater-levels becomes simple and error free. When tagged measurements from multiple wells are integrated across a monitoring network, the influence of multiple pumping wells on an aquifer can be isolated from the broader influences of weather, seasons, and climate, providing vital insight into background and man-made changes to the groundwater resource supporting fact-based sustainable management strategies.