Optimization of tailings disposal method using fuzzy analytic hierarchy process

Naraghi, Saeed; Masoumi, Isa; Rashidinejad, Farshad

doi:10.2166/ws.2019.028

Cited by 2 publications

(2 citation statements)

References 7 publications

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“…The most common and widely used MCDM approaches are the fuzzy analytic hierarchy process (AHP) [11], and the weighted sum method (WSM) [12] due to their straightforward handling approach. Of these, AHP has been reported to be one of the best and most widely used approaches to handle multiple and heterogeneous factors [13], and has been successfully applied in many engineering site evaluations, including dams [14,15].…”

Section: Introductionmentioning

confidence: 99%

GIS-Based Modeling for Selection of Dam Sites in the Kurdistan Region, Iraq

Othman¹,

Al-Maamar²,

Ali

et al. 2020

IJGI

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Iraq, a country in the Middle East, has suffered severe drought events in the past two decades due to a significant decrease in annual precipitation. Water storage by building dams can mitigate drought impacts and assure water supply. This study was designed to identify suitable sites to build new dams within the Al-Khabur River Basin (KhRB). Both the fuzzy analytic hierarchy process (AHP) and the weighted sum method (WSM) were used and compared to select suitable dam sites. A total of 14 layers were used as input dataset (i.e., lithology, tectonic zones, distance to active faults, distance to lineaments, soil type, land cover, hypsometry, slope gradient, average precipitation, stream width, Curve Number Grid, distance to major roads, distance to towns and cities, and distance to villages). Landsat-8/Operational Land Imager (OLI) and QuickBird optical images were used in the study. Three types of accuracies were tested: overall, suitable pixels by number, and suitable pixels by weight. Based on these criteria, we determined that 11 sites are suitable for locating dams for runoff harvesting. Results were compared to the location of 21 preselected dams proposed by the Ministry of Agricultural and Water Resources (MAWR). Three of these dam sites coincide with those proposed by the MAWR. The overall accuracies of the 11 dams ranged between 76.2% and 91.8%. The two most suitable dam sites are located in the center of the study area, with favorable geology, adequate storage capacity, and in close proximity to the population centers. Of the two selection methods, the AHP method performed better as its overall accuracy is greater than that of the WSM. We argue that when stream discharge data are not available, use of high spatial resolution QuickBird imageries to determine stream width for discharge estimation is acceptable and can be used for preliminary dam site selection. The study offers a valuable and relatively inexpensive tool to decision-makers for eliminating sites having severe limitations (less suitable sites) and focusing on those with the least restriction (more suitable sites) for dam construction.

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Section: Introductionmentioning

confidence: 99%

GIS-Based Modeling for Selection of Dam Sites in the Kurdistan Region, Iraq

Othman¹,

Al-Maamar²,

Ali

et al. 2020

IJGI

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“…The fuzzy SWARA was used to weight the criteria and the fuzzy WASPAS was used to rank the sites. (Naraghi et al 2019) developed a framework using fuzzy AHP to select the most suitable residue removal procedure. Using the analytical hierarchy process, (Boukhari et al 2018) developed a sustainability assessment tool for Water Supply and Sanitation Services (WSS).…”

Section: Introductionmentioning

confidence: 99%

Analytic network process for local scour formula ranking with parametric sensitivity analysis and soil class clustering

Annad

Lefkir

2022

Water Supply

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Prediction of scour depth around bridge piers during flood events has been and continues to be regarded as a paramount concern of local scour's researchers, for which many empirical formulas have been proposed. Because of the multiplicity and variability of these formulas, it remains extremely delicate to choose the correct formula among the many available. This study aims to develop a new framework to compare the different formulas currently used for the evaluation of local scour. For this purpose, eighteen (18) distinctly different formulas are selected and then evaluated using a large set of field-measured scour data. The rating is pronounced along three main streambed granulometric distributions. The validation process is performed using the Analytical Network Process approach (ANP), in which the already available conventional weights are re-evaluated and updated using various analyses, notably in terms of statistics, sensitivity, and correlation. The validation and comparison results of these eighteen scour formulas reveal that the efficiency of a given particular formula depends on the type of stream soil studied. Furthermore, the scour formulas including parameters having a geometrical dimension provide better performances.

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Optimization of tailings disposal method using fuzzy analytic hierarchy process

Cited by 2 publications

References 7 publications

GIS-Based Modeling for Selection of Dam Sites in the Kurdistan Region, Iraq

GIS-Based Modeling for Selection of Dam Sites in the Kurdistan Region, Iraq

Analytic network process for local scour formula ranking with parametric sensitivity analysis and soil class clustering

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