Abstract
The contamination of groundwater resources is a challenge for drinking water supplies. To meet water quality standards, well-field operators need practical solutions to reduce the vulnerability of production wells. Strategies for several combinations of management variables such as well flow rate or water level in drains, are usually possible to satisfy the required production rate. However, these strategies may lead to contamination issues for the abstracted groundwater. A surrogate transport model was implemented in a well field vulnerable to a contaminated stream. An adaptive multi-objective optimization approach is proposed. The objective is to maximize the water production at the well field while minimizing the proportion of stream water abstracted. The optimization problem is adaptive to the stream level, which is a key parameter describing hydrological conditions. A systematic exploration of management settings is conducted and a three-dimensional Pareto front is extracted. From these optimum settings, a practical easy-to-use approach is developed. The well-field operator can adjust production settings to optimum conditions as a function of the observed stream water level and desired production rate.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
