The compromise programming method to choose artificial recharge sites in Mornag aquifer (Tunisia)

The artificial recharge (AR) of groundwater is considered among the climate change adaptation measures. This measure helps tackling water resources scarcity and enhances water resources availability for several needs, mainly irrigation. In this respect, AR with treated wastewater was planned by Ben...

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Vydáno v:Arabian journal of geosciences Ročník 15; číslo 16
Hlavní autoři: Jarraya-Horriche, Faten, Brahim, Hella Ben, Slama, Fairouz
Médium: Journal Article
Jazyk:angličtina
Vydáno: Cham Springer International Publishing 01.08.2022
Springer Nature B.V
Témata:
Alternatives
Aquifers
Artificial recharge
Classification
Climate adaptation
Climate change
Climate change adaptation
Criteria
Earth and Environmental Science
Earth science
Earth Sciences
Economics
Geology
Global Changes and Groundwater Responses
Groundwater
Groundwater recharge
Hydrogeology
Original Paper
Resource availability
Socioeconomic aspects
Wastewater
Wastewater treatment
Water Quality
Water resources
Water scarcity
Water utilities
Tunisia
Mornag aquifer
Artificial recharge of groundwater
Treated wastewater
Compromise programming
ISSN:1866-7511, 1866-7538
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Shrnutí:The artificial recharge (AR) of groundwater is considered among the climate change adaptation measures. This measure helps tackling water resources scarcity and enhances water resources availability for several needs, mainly irrigation. In this respect, AR with treated wastewater was planned by Ben Arous water authority in the Mornag aquifer (north of Tunisia). In order to choose a suitable site for AR, one needs to consider several and sometimes conflictual criteria such as hydrogeological parameters and environmental and socio-economic constraints. Based on the study carried out in 2008, a set of 9 feasible locations was identified for AR with treated wastewater, among which 4 sites were selected. The result of this study was criticized, and a need to use more pertinent criteria and scientific decision tools was felt to choose suitable sites for AR. Thus, in this advanced study, we used the compromise programming method, and we considered pertinent criteria based on recent scientific references in the choice of sites for AR. The different alternatives of AR sites are classified from the closest one to the ideal solution to the worst one. The sensitive analysis concluded that weights attributed to each criterion could have an effect on the classification of alternatives and the choice of a suitable site for AR. For the present study, the best alternative for AR with treated wastewater corresponds to the site of El Hma Wadi (A9) for both situations with equal and different weights. However, the second position of alternative classification is attributed to the site of Salah Salem (A6) when considering equal weights, but for different weights, the INRAT site (A5) is rather in this second position. These results are different from those of the previous studies. The final decision is underway as further constraints should be considered.
Bibliografie:ObjectType-Article-1
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ISSN:1866-7511
1866-7538
DOI:10.1007/s12517-022-10695-1