Fuzzy logic and multi-criteria methods for groundwater potentiality mapping at Al Fo’ah area, the United Arab Emirates (UAE): an integrated approach

Mohamed Mostafa Mohamed, Samy Ismail Elmahdy

Research output: Contribution to journalArticlepeer-review

37 Citations (Scopus)

Abstract

This study has modified an approach based on fuzzy logic in a GIS and multi-criteria decision making (MCDM) for groundwater potentiality mapping in Al Fo’ah area, the United Arab Emirates. The proposed approach uses nine groundwater conditioning factors recognized by local hydrology experts. Each factor and class of each factor was given a weight and score based on its level of contributions to groundwater accumulation using analytical hierarchy process and MCDM. Our results revealed that the areas of very high harbouring groundwater are located at the foot of the Oman mountains and occupies an area of about 8.46 km2 (4%) of the study area. We validated our results using the Relative Operating Characteristics. The area under the curve showed a ratio of 0.8957 (of 89.57%). The modified approach is timely and economically effective and can be applied in semi-arid regions to help hydrologists.

Original languageEnglish
Pages (from-to)1120-1138
Number of pages19
JournalGeocarto International
Volume32
Issue number10
DOIs
Publication statusPublished - Oct 3 2017

Keywords

  • AHP
  • Al Fo’ah
  • GIS
  • UAE
  • groundwater potentiality
  • remote sensing

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Water Science and Technology

Fingerprint

Dive into the research topics of 'Fuzzy logic and multi-criteria methods for groundwater potentiality mapping at Al Fo’ah area, the United Arab Emirates (UAE): an integrated approach'. Together they form a unique fingerprint.

Cite this