Application of the GIS based multi-criteria decision analysis and analytical hierarchy process (AHP) in the flood susceptibility mapping (Tunisia)

Hammami, Salma; Zouhri, Lahcen; Souissi, Dhekra; Souei, Ali; Zghibi, Adel; Marzougui, Amira; Dlala, Mahmoud

doi:10.1007/s12517-019-4754-9

Cited by 154 publications

(93 citation statements)

References 45 publications

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“…Based on the aforementioned differences between the RFP and RRFP, the RRFP is eventually recommended for the assessment of riverine flood potential areas in the Nitra river basin. This finding is in accordance with the results achieved in the study by Kazakis et al [56] or Hammani et al [57].…”

Section: Revised Riverine Flood Potentialsupporting

confidence: 94%

“…As a result, the role of each factor in resulting riverine flood potential was investigated because of the subjective significance of the factors used, providing useful information on the influence of rating-weighting values assigned to each factor. We decided to perform a single-parameter analysis, which was firstly used by Napolitano and Fabbri [55] and later also in flood susceptibility studies, such as Kazakis et al [56] and Hammani et al [57]. In the performed sensitivity analysis, the initial arbitrary values of the factors were replaced with the so-called effective weights based on Equation (4).…”

Section: Sensitivity Analysis Of Factor Weightsmentioning

confidence: 99%

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GIS-Based Spatial and Multi-Criteria Assessment of Riverine Flood Potential: A Case Study of the Nitra River Basin, Slovakia

Vojtek

Vojteková

Pham

2021

IJGI

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The aim of this study was to identify the areas with different levels of riverine flood potential (RFP) in the Nitra river basin, Slovakia, using multi-criteria evaluation (MCE)-analytical hierarchical process (AHP), geographic information systems (GIS), and seven flood conditioning factors. The RFP in the Nitra river basin had not yet been assessed through MCE-AHP. Therefore, the methodology used can be useful, especially in terms of the preliminary flood risk assessment required by the EU Floods Directive. The results showed that classification techniques of natural breaks (Jenks), equal interval, quantile, and geometric interval classified 32.03%, 29.90%, 41.84%, and 53.52% of the basin, respectively, into high and very high RFP while 87.38%, 87.38%, 96.21%, and 98.73% of flood validation events, respectively, corresponded to high and very high RFP. A single-parameter sensitivity analysis of factor weights was performed in order to derive the effective weights, which were used to calculate the revised riverine flood potential (RRFP). In general, the differences between the RFP and RRFP can be interpreted as an underestimation of the share of high and very high RFP as well as the share of flood events in these classes within the RFP assessment. Therefore, the RRFP is recommended for the assessment of riverine flood potential in the Nitra river basin.

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Section: Revised Riverine Flood Potentialsupporting

confidence: 94%

Section: Sensitivity Analysis Of Factor Weightsmentioning

confidence: 99%

GIS-Based Spatial and Multi-Criteria Assessment of Riverine Flood Potential: A Case Study of the Nitra River Basin, Slovakia

Vojtek

Vojteková

Pham

2021

IJGI

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“…A variety of methods have been implemented for groundwater recharge zone mapping worldwide [24][25][26][27] such as frequency ratio (FR), certainty factor (CF), weights-of-evidence (WOE), fuzzy logic index models, analytical hierarchy process (AHP) and multi-influencing factors (MIF). In particular, the AHP and MIF techniques have gained attention as useful approaches for groundwater prediction for rapid, precise and cost-effective assessment of groundwater recharge potential [28][29][30][31][32][33] by significantly reducing the mathematical complexity of decision-making based on systematic expert judgment. AHP is a GIS-based multi-criteria decision-making (MCDM) technique for pairwise comparison of spatial parameters by assigning weights based on expert opinion [34][35][36][37].…”

Section: Introductionmentioning

confidence: 99%

Using Analytical Hierarchy Process and Multi-Influencing Factors to Map Groundwater Recharge Zones in a Semi-Arid Mediterranean Coastal Aquifer

Zghibi

Mirchi

Msaddek

et al. 2020

Water

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Mapping groundwater recharge zones (GWRZs) is essential for planning artificial recharge programs to mitigate groundwater decline and saltwater intrusion into coastal aquifers. We applied two multi-criteria decision-making approaches, namely the analytical hierarchy process (AHP) and the multi-influencing factors (MIF), to map GWRZs in the Korba aquifer in northeastern Tunisia. GWRZ results from the AHP indicate that the majority (69%) of the area can be classified as very good and good for groundwater recharge. The MIF results suggest larger (80.7%) very good and good GWRZs. The GWRZ maps improve groundwater balance calculations by providing estimates of recharge-precipitation ratios to quantify percolation. Lithology, land use/cover and slope were the most sensitive parameters followed by geomorphology, lineament density, rainfall, drainage density and soil type. The AHP approach produced relatively more accurate results than the MIF technique based on correlation of the obtained GWRZs with groundwater well discharge data from 20 wells across the study area. The accuracy of the approaches ultimately depends on the classification criteria, mean rating score and weights assigned to the thematic layers. Nonetheless, the GWRZ maps suggest that there is ample opportunity to implement aquifer recharge programs to reduce groundwater stress in the Korba aquifer.

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“…The method was applied to a set of parameters to establish a hierarchical structure by giving weights to each criterion to reduce decision-making complexity (Kiker et al 2005 ; Pramanik 2016 ). AHP is a systematic and powerful technique that integrates practical knowledge with subjective ideas to determine decision-making by assessing multiple variables based on expert views/experiences using the GIS platform (Sener et al 2011 ; Hammami et al 2019 ). To prepare accurate results, the assignment of weights to each parameter and their normalization is an utmost factor, as the outcome is exclusively conferred on the appropriate weight assignments (Muralitharan and Palanivel 2015 ).…”

Section: Methodsmentioning

confidence: 99%

“…The AHP model has been developed through four stages of functions. These steps are: the assignment of weights; development of a pairwise comparison matrix; carrying out a weight normalization; and undertaking a consistency ratio (CR) check (Hammami et al 2019 ; Benjmel et al. 2020 ; Ghosh et al.…”

Section: Methodsmentioning

confidence: 99%

Assessing groundwater status and human perception in drought-prone areas: a case of Bankura-I and Bankura-II blocks, West Bengal (India)

et al. 2021

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Ground water is a precious natural resource in every aspect of human life from natural to artificial environment. Ground water is an indicator of regional development by improving the economic domain through intensive agricultural practices, and aesthetic value through sufficient ground water supply as drinking water, fertile soil, and healthy vegetation. However, ground water availability and associated human perceptions were the main themes of the present study. In this study, both primary and secondary data were incorporated to understand the human adaptation behaviour in drought-prone areas of the fringe of Chhotanagpur plateau region (Bankura-I and II blocks) to ground water storage. GWPZ mapping is a very important exposure to knowing the ground reality. So, the MCDM-AHP method has been developed based on the eight dominant conditioning factors viz. geomorphology, lithology, lineament density, soil, drainage density, LULC, average slope, and slope aspect using GIS analytics with field expertise. The output result was validated with comparing 105 inventory stations where 0.850 AUC value was good for accepting the GWPZ model. As a result, a major portion of the study area is dominated by poor to moderate possibilities of ground water level (ground water level drops 1–2 m during the pre-monsoon) due to Proterozoic granite gneiss formation over the study area. With comparing demographic status, it was not favourable for a healthy lifestyle. Agriculture dominated rural environment of Bankura-I and II blocks is far away from the modern digital environment that is why ground water has played a very crucial role in the field of development. Moreover, to build up a good level of ground water recharge zone through rainfall harvesting, and sustainable land use planning will be the best management practices. So, availability of ground water should be a positive sign of development in the field of the economic sector and sustainable human society.

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Application of the GIS based multi-criteria decision analysis and analytical hierarchy process (AHP) in the flood susceptibility mapping (Tunisia)

Cited by 154 publications

References 45 publications

GIS-Based Spatial and Multi-Criteria Assessment of Riverine Flood Potential: A Case Study of the Nitra River Basin, Slovakia

GIS-Based Spatial and Multi-Criteria Assessment of Riverine Flood Potential: A Case Study of the Nitra River Basin, Slovakia

Using Analytical Hierarchy Process and Multi-Influencing Factors to Map Groundwater Recharge Zones in a Semi-Arid Mediterranean Coastal Aquifer

Assessing groundwater status and human perception in drought-prone areas: a case of Bankura-I and Bankura-II blocks, West Bengal (India)

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