2018
DOI: 10.1016/j.scitotenv.2017.11.235
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A fuzzy multicriteria categorization of the GALDIT method to assess seawater intrusion vulnerability of coastal aquifers

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Cited by 80 publications
(32 citation statements)
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“…However, potential salinization of an aquifer due to seawater intrusion near the shore has not been taken into account. Hence, distance from the shore was included as a new parameter in the SuSAM index, similar to the concept of coastal aquifer vulnerability to seawater intrusion [3]. As expected, unsuitable zones for MAR are located close to the shoreline, while more suitable zones occur in the mainland (Figure 3).…”
Section: Shore (Distance)mentioning
confidence: 94%
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“…However, potential salinization of an aquifer due to seawater intrusion near the shore has not been taken into account. Hence, distance from the shore was included as a new parameter in the SuSAM index, similar to the concept of coastal aquifer vulnerability to seawater intrusion [3]. As expected, unsuitable zones for MAR are located close to the shoreline, while more suitable zones occur in the mainland (Figure 3).…”
Section: Shore (Distance)mentioning
confidence: 94%
“…Two main salinization processes occur in depleted aquifers: (a) seawater intrusion [1] and (b) salt water upconing [2]. Mapping the vulnerability of coastal aquifers to seawater intrusion [3] and salt water upconing [4] has been proposed as a tool with which to prevent groundwater salinization. More specifically, vulnerability maps depict zones where salinization prevention measures can be applied.…”
Section: Introductionmentioning
confidence: 99%
“…The outranking methods in multicriteria decision analysis are based on binary comparisons (outranking relations), and rather recently the handling of outranking methods by using fuzzy sets and logic was conducted [16][17][18][19]. Hence, the strict preference (P) and indifference (I) are defined as fuzzy concepts in order to express the granularity of the preference.…”
Section: 2multicriteria Outranking Methods Based On Fuzzy Sets and mentioning
confidence: 99%
“…Secondly, the aggregation of the monocriterion scores can be done with the use of fuzzy aggregators and thus, an interpreted structure rather than an arbitrary algebraic norm can be established to achieve the multicriteria synthesis. In addition, during the multicriteria synthesis, the veto principle can be incorporated to prevent the selection of noncommensurate alternatives [18].…”
Section: 2multicriteria Outranking Methods Based On Fuzzy Sets and mentioning
confidence: 99%
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