Integrating fuzzy-AHP and GIS for solid waste disposal site selection in Kenitra province, NW Morocco.
Fuzzy modeling
GIS
MCDA
NW Morocco
Solid waste management
Journal
Environmental monitoring and assessment
ISSN: 1573-2959
Titre abrégé: Environ Monit Assess
Pays: Netherlands
ID NLM: 8508350
Informations de publication
Date de publication:
10 May 2024
10 May 2024
Historique:
received:
24
12
2023
accepted:
06
05
2024
medline:
11
5
2024
pubmed:
11
5
2024
entrez:
10
5
2024
Statut:
epublish
Résumé
Selecting an optimal solid waste disposal site is one of the decisive waste management issues because unsuitable sites cause serious environmental and public health problems. In Kenitra province, northwest Morocco, sustainable disposal sites have become a major challenge due to rapid urbanization and population growth. In addition, the existing disposal sites are traditional and inappropriate. The objective of this study is to suggest potential suitable disposal sites using fuzzy logic and analytical hierarchy process (fuzzy-AHP) method integrated with geographic information system (GIS) techniques. For this purpose, thirteen factors affecting the selection process were involved. The results showed that 5% of the studied area is considered extremely suitable and scattered in the central-eastern parts, while 9% is considered almost unsuitable and distributed in the northern and southern parts. Thereafter, these results were validated using the area under the curve (AUC) of the receiver operating characteristics (ROC). The AUC found was 57.1%, which is a moderate prediction's accuracy because the existing sites used in the validation's process were randomly selected. These results can assist relevant authorities and stakeholders for setting new solid waste disposal sites in Kenitra province.
Identifiants
pubmed: 38730190
doi: 10.1007/s10661-024-12711-1
pii: 10.1007/s10661-024-12711-1
doi:
Substances chimiques
Solid Waste
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
537Informations de copyright
© 2024. The Author(s), under exclusive licence to Springer Nature Switzerland AG.
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