| Title | A Suitable Tool for Sustainable Groundwater Management |
| 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. |
| Source | Water resources management (Dordr., Online) |
| Keywords | Artificial groundwater rechargeArtificial intelligenceSoil aquifer treatmentRecharge plant designmanaged aquifer recharge |
| Journal | Water resources management (Dordr., Online) |
| Editor | Kluwer, Dordrecht, Paesi Bassi |
| Year | 2017 |
| Type | Articolo in rivista |
| DOI | 10.1007/s11269-017-1736-0 |
| Authors | Masciopinto, C., Vurro, M., Palmisano, V.N. e Liso, I. S. |
| Text | 371574 2017 10.1007/s11269 017 1736 0 Scopus 2 s2.0 85020261130 ISI Web of Science WOS WOS 000411869000007 Artificial groundwater recharge Artificial intelligence Soil aquifer treatment Recharge plant design managed aquifer recharge A Suitable Tool for Sustainable Groundwater Management Masciopinto, C., Vurro, M., Palmisano, V.N. e Liso, I. S. Reparto di Chimica e Tecnologia delle Acque, Consiglio Nazionale delle Ricerche, Istituto di Ricerca Sulle Acque, 5 via Francesco De Blasio, 70132 Bari. 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. Preprint http //eproofing.springer.com/journals/mainpage.php token=FmYUWUeMC7OgNxymfX5Rf97m7sEWybRW6d2TEUcWYG1vex6OtF9p_ibkdQqN1Wsh A Suitable Tool for Sustainable Groundwater Management Estratto della rivista WRM_2017_doi_10.1007_s11269 017 1736 0.pdf Articolo in rivista Kluwer 1573 1650 Water resources management Dordr., Online Water resources management Dordr., Online Water resour. manag. Dordr., Online Water resources management. Dordr., Online isabellaserenaliso LISO ISABELLA SERENA vitonicola.palmisano PALMISANO VITO NICOLA michele.vurro VURRO MICHELE costantino.masciopinto MASCIOPINTO COSTANTINO TA.P04.005.010 Metodi, dispositivi di stima dei parametri idrogeologici e modelli matematici |
