A Suitable Tool for Sustainable Groundwater Management

Costantino Masciopinto (), Michele Vurro (), Vito Nicola Palmisano () and Isabella Serena Liso ()
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Costantino Masciopinto: Istituto di Ricerca Sulle Acque
Michele Vurro: Istituto di Ricerca Sulle Acque
Vito Nicola Palmisano: Istituto di Ricerca Sulle Acque
Isabella Serena Liso: Istituto di Ricerca Sulle Acque

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2017, vol. 31, issue 13, No 7, 4133-4147

Abstract: Abstract Artificial recharge is used to increase the availability of groundwater storage and reduce saltwater intrusion in coastal aquifers, where pumping and droughts have severely impaired groundwater quality. The implementation of optimal recharge methods requires knowledge of physical, chemical, and biological phenomena involving water and wastewater filtration in the subsoil, together with engineering aspects related to plant design and maintenance operations. This study uses a novel Decision Support System (DSS), which includes soil aquifer treatment (SAT) evaluation, to design an artificial recharge plant. The DSS helps users make strategic decisions on selecting the most appropriate recharge methods and water treatment technologies at specific sites. This will enable the recovery of safe water using managed aquifer recharge (MAR) practices, and result in reduced recharge costs. The DSS was built using an artificial intelligence technique and knowledge-based technology, related to both quantitative and qualitative aspects of water supply for artificial recharge. The DSS software was implemented using rules based on the cumulative experience of wastewater treatment plant engineers and groundwater modeling. Appropriate model flow simulations were performed in porous and fractured coastal aquifers to evaluate the suitability of this technique for enhancing the integrated water resources management approach. Results obtained from the AQUASTRESS integrated project and DRINKADRIA IPA CBC suggest the most effective strategies for wastewater treatments prior to recharge at specific sites.

Keywords: Artificial groundwater recharge; Artificial intelligence; Soil aquifer treatment; Recharge plant design; managed aquifer recharge (search for similar items in EconPapers)
Date: 2017
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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DOI: 10.1007/s11269-017-1736-0

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