A Suitable Tool for Sustainable Groundwater Management

Abstract

Artificial recharge is used to increase the availability of groundwaterstorage and reduce saltwater intrusion in coastal aquifers, where pumpingand droughts have severely impaired groundwater quality. Theimplementation of optimal recharge methods requires knowledge ofphysical, chemical, and biological phenomena involving water andwastewater filtration in the subsoil, together with engineering aspectsrelated to plant design and maintenance operations. This study uses anovel Decision Support System (DSS), which includes soil aquifertreatment (SAT) evaluation, to design an artificial recharge plant. The DSShelps users make strategic decisions on selecting the most appropriaterecharge methods and water treatment technologies at specific sites. Thiswill enable the recovery of safe water using managed aquifer recharge(MAR) practices, and result in reduced recharge costs. The DSS was builtusing an artificial intelligence technique and knowledge-based technology,related to both quantitative and qualitative aspects of water supply forartificial recharge. The DSS software was implemented using rules basedon the cumulative experience of wastewater treatment plant engineersand groundwater modeling. Appropriate model flow simulations wereperformed in porous and fractured coastal aquifers to evaluate thesuitability of this technique for enhancing the integrated water resourcesmanagement approach. Results obtained from the AQUASTRESSintegrated project and DRINKADRIA IPA CBC suggest the most effectivestrategies for wastewater treatments prior to recharge at specific sites.


Tutti gli autori

  • Masciopinto C.; Vurro M.; Palmisano V.N.; Liso I. S.

Titolo volume/Rivista

Water resources management


Anno di pubblicazione

2017

ISSN

1573-1650

ISBN

Non Disponibile


Numero di citazioni Wos

Nessuna citazione

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Numero di citazioni Scopus

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Settori ERC

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Codici ASJC

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