Multicriteria Index and Analytical Hierarchy Process on Flood Risk Assessment: Application in Niger State, Nigeria
Zulkhairi MD1, Azman T2, Ndanusa A3

1Zulkhairi MD, School of Computing, University Utara Malaysia, Sintok, Kedah.

2Azman T, School of Computing, University Utara Malaysia, Sintok, Kedah.

3Ndanusa A, School of Computing, University Utara Malaysia,  Sintok, Kedah.

Manuscript received on 10 June 2019 | Revised Manuscript received on 17 June 2019 | Manuscript Published on 19 June 2019 | PP: 664-678 | Volume-8 Issue-8S June 2019 | Retrieval Number: H11160688S19/19©BEIESP

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Abstract: Assessment of flood risks, especially extreme floods, is required for any location that is faced with recurrent flooding events for proper implementation of proactive measures. Therefore, this study presents a multi-criteria index-Analytic Hierarchic Process (AHP) approach to evaluate regional flood risks employing multiple flood causative factors by determining a Flood Risk Index (FRI) using a GIS-based spatial analysis. The developed framework utilized topographical, hydrological and vegetal factors to delineate the risks associated with various regions. The relative importance of each factor in determining flood vulnerability, as well as the severity of flood is associated with the weightage of such factors based on AHP. The framework has been applied to Niger State, situated within the north-central part Nigeria, which has been experiencing recurrent annual flooding events. The overall result revealed some vital details on the relative importance of each factors in inducing regional floods. Furthermore, the accuracy assessment conducted using regional flood inventory confirmed the reliability and validity of the developed Multicriteria Index and Analytical Hierarchy Process on Flood Risk Assessment (Mi-AFRA).

Keywords: Analytical Hierarchy Process, Flood Vulnerability, GIS, Sensitivity Analysis.
Scope of the Article: IoT Application and Communication Protocol