Pump-and-treat (P&T) is a groundwater remediation technology relevant to multiple contaminants that has been applied at many environmental sites. Performance assessment during P&T remedy implementation is needed because injection wells require rehabilitation, systems exhibit diminishing returns over time, or operational strategies need to be adjusted due to the complex nature of the site and contamination.

For treatment plant operations in a P&T remedy, a supervisory control and data acquisition (SCADA) system is used to manage facility operations and collect the high-volume and high-velocity data streams from the process control sensors. Data, such as contaminant concentrations and fluid pH, are measured in the influent, effluent, and at various points within the P&T system as needed to monitor and control treatment processes at the facility and determine the mass removal remedy performance. Although anomalies in field performance can be identified in SCADA data, the analyses are not frequently performed due to the large volume of spatio-temporal data.

HYPATIA

​​​​​​​​​​​​​​HYPATIA (HYdraulic Pump-And-Treat Information Analytics) supports a data-driven management approach by providing data access and tools for analyzing P&T data, including extraction well and treatment plant chemistry and control system sensors. Through HYPATIA, the user not only has rapid access to aggregated sensor and flow rate data from the SCADA system, but also can work with groundwater well chemistry data that is typically managed in separate environmental databases. HYPATIA also provides methods for statistical analysis of time series data and includes calculated metrics, such as mass flow rate and injectivity for assessing P&T system performance.