A new methodology for assessing water quality, based on data envelopment analysis: Application to Algerian dams

Soltani, Ahmed Amin; Oukil, Amar; Boutaghane, Hamouda; Bermad, Abdelmalek; Boulassel, Mohamed-Rachid

doi:10.1016/j.ecolind.2020.106952

Cited by 39 publications

(13 citation statements)

References 55 publications

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“…[ 46 ] can be given as examples of the AHP‐TOPSIS/TOPSIS method in the last few years, whereas those of Whittaker et al., [ 47 ] Kavurmaci and Apaydın, [ 13 ] Rezaei et al., [ 48 ] or Soltani et al. [ 49 ] are for DEA: They all successfully ranked the alternatives from the highest water quality to the lowest. However, DEA is used less than TOPSIS and AHP in water quality studies as it might produce unreliable results due to the output criteria that vary according to the intended purpose.…”

Section: Methodsmentioning

confidence: 99%

Evaluation of Groundwater Quality in the Mineralized Fields by Analytical Hierarchy Process‐Based Water Quality Index

Yılmazer

Kavurmaci

2021

CLEAN Soil Air Water

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In this study, an epithermal goldfields‐water quality index (EGF‐WQI) and the associated classification system have been proposed to define drinking water quality of the water resources in regions where epithermal gold mineralization exists. In this context, two hydrogeochemical data sets from 15 water resources are used. EGF‐WQI is designed using 21 different criteria under 4 main groups and 15 alternatives. To determine the importance and efficiency values of the criteria, analytical hierarchy method (AHP) is used. The water quality classification system is defined by 4 different categories, namely, “very good,” “good,” “acceptable,” and “inappropriate.” In order to ensure consistency of the findings, efficiency scores of the AHP method are compared with the results obtained from the technique for order preference by similarity to ideal solution and data envelopment analysis models. The index results obtained from AHP processes are converted into water quality distribution maps by using the Kriging interpolation method. EGF‐WQI results are observed to be compatible with the water quality standards developed by organizations such as the World Health Organization and Turkish Standards. EGF‐WQI can be used as a reliable and valid index to evaluate the water resources in regions where alteration and mineralization are present.

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Section: Methodsmentioning

confidence: 99%

Evaluation of Groundwater Quality in the Mineralized Fields by Analytical Hierarchy Process‐Based Water Quality Index

Yılmazer

Kavurmaci

2021

CLEAN Soil Air Water

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“…The use of a feasible and effective method of assessing the quality of drinking water is essential to achieve reliable results and to facilitate informed decision-making. Since the 1960s, when Horton developed the first water quality index (WQI), many methods of assessing water quality have been proposed [13][14][15]. The rapid development of water quality assessment methods improves our understanding of water quality either by a single numeric number or by a more sophisticated interpretation of water quality characteristics [16].…”

Section: Related Workmentioning

confidence: 99%

Human Health Impact Analysis of Contaminant in IoT-Enabled Water Distributed Networks

Shahra

Gómez³

2021

Applied Sciences

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This paper aims to assess and analyze the health impact of consuming contaminated drinking water in a water distributed system (WDS). The analysis was based on qualitative simulation performed in two different models named hydraulic and water quality in a WDS. The computation focuses on quantitative analysis for chemically contaminated water impacts by analyzing the dose level in various locations in the water network and the mass of the substance that entered the human body. Several numerical experiments have been applied to evaluate the impact of water pollution on human life. They analyzed the impact on human life according to various factors, including the location of the injected node (pollution occurrence) and the ingested dose level. The results show a significant impact of water contaminant on human life in multiple areas in the water network, and the level of this impact changed from one location to another in WDSs based on several factors such as the location of the pollution occurrence, the contaminant concentration, and the dose level. In order to reduce the impact of this contaminant, water quality sensors have been used and deployed on the water network to help detect this contaminant. The sensors were optimally deployed based on the time-detection of water contamination and the volume of polluted water consumed. Numerical experiments were carried out to compare water pollution’s impact with and without using water quality sensors. The results show that the health impact was reduced by up to 98.37% by using water quality sensors.

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“…Data envelopment analysis (DEA) is an optimization approach proven for its strength in evaluating performance of decision making units (DMUs) that employ multiple inputs to produce multiple outputs ( [43,44]). In standard DEA models, the efficiency of a DMU is evaluated using input and output data bundles related to a specific time period ( [31,34]).…”

Section: Introductionmentioning

confidence: 99%

Global multi-period performance evaluation – New model and productivity index

2022

Self Cite

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In this paper, we develop a new mathematical model for the multi-period data envelopment analysis (MDEA) problem that attempts to circumvent the limitations of the existing MDEA models through a global approach. The proposed global MDEA model is based on modifications of some DEA axioms, enabling a decision making unit (DMU), defined with inputs and outputs of period $t,$ to be evaluated within the production possibility set (PPS) of another period $l,~t\neq l.$ Building on the properties of the global MDEA model, we also introduce the Global Progress and Regress index (GPRI) to evaluate the extent of progress or regress of a DMU over multi-period time horizons under variable returns to scale (VRS) assumption, as opposed to known productivity indices that are restricted to two successive periods and constant returns to scale (CRS) production technologies. The most salient features of the new MDEA model as well as the GPRI are highlighted using an application that involves a real-life sample of 25 bank branches considered over 4 years.

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A new methodology for assessing water quality, based on data envelopment analysis: Application to Algerian dams

Cited by 39 publications

References 55 publications

Evaluation of Groundwater Quality in the Mineralized Fields by Analytical Hierarchy Process‐Based Water Quality Index

Evaluation of Groundwater Quality in the Mineralized Fields by Analytical Hierarchy Process‐Based Water Quality Index

Human Health Impact Analysis of Contaminant in IoT-Enabled Water Distributed Networks

Global multi-period performance evaluation – New model and productivity index

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