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Automatic Delineation of Capture Zones for Pump and Treat Systems: A Case Study in Piedmont, Italy
Author(s) -
Tosco Tiziana,
Di Molfetta Antonio,
Sethi Rajandrea
Publication year - 2010
Publication title -
groundwater monitoring and remediation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.677
H-Index - 47
eISSN - 1745-6592
pISSN - 1069-3629
DOI - 10.1111/j.1745-6592.2010.01276.x
Subject(s) - plume , aquifer , volume (thermodynamics) , tracking (education) , computer science , environmental science , simulation , groundwater , geotechnical engineering , engineering , psychology , pedagogy , physics , quantum mechanics , thermodynamics
The design of a pump and treat (P&T) system for the hydraulic control of a contaminated plume in a confined aquifer is presented here. Being the system designed for the emergency containment of a nonaqueous phase liquid plume, the evaluation of the system’s short‐term efficiency was considered an important issue. For this reason, both time‐related and ultimate capture zones were defined. They were traced using the automatic protection area (APA) model, a capture‐zone delineation tool based on a hybrid forward‐backward particle tracking algorithm, that provides an automatic post‐processing encirclement of capture zones. Two simple indexes are here proposed for the evaluation of the performance of the hydraulic barrier, that is, the efficacy and efficiency indexes, calculated from the capture areas provided by APA. The discharge rates of the wells were dimensioned applying the APA algorithm, maximizing efficacy and efficiency of the barrier. Results proved both visually (via plotting of capture zones) and numerically (via calculation of the indexes) that the P&T system can provide a complete capture of the contaminated area and minimizes the volume of extracted water. Consequently, the APA algorithm was proved to be a useful tool in capture zone delineation. As a future perspective, it could be coupled with the real‐time measurement of pumping rates and water levels and be implemented as a part of a tuning tool for the management of the hydraulic barrier.