Consumers Water Quality Index

Walski, Thomas M.; Parker, F.L.

doi:10.1061/jeegav.0000184

Cited by 64 publications

(12 citation statements)

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“…The development of a water quality index involves four steps: the choice of parameters, the normalization of parameter values, the weighting of the different parameters, and the aggregation of sub-indices [4,10,13,20,21,22]. This does not mean that all the indices used the 4 steps since many indices needed only 3 steps, it depends only on the objectives targeted.…”

Section: Methodsmentioning

confidence: 99%

“…The assessment of water resources management and water quality policies to determine variations in water quality over time and space by water resource managers can be done using water quality indices [5]. Several water quality indices have been developed worldwide, including the Canadian Council of Ministers of the Environment's Index [6], Brown's Index [4], Dinius's Index [7], Said's Index [8], Oregon water quality Index [9], Walski and Parker [10], Smith's [11], Sargoankar and Deshpande [12], Swamee and Tyagi [3], etc. All these indices are now used to assess water quality, each with its advantages and disadvantages [13], commonly related to their development.…”

Section: Introductionmentioning

confidence: 99%

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Development of a Computer Application for the Calculation of Water Quality Index in Morocco

Soumaila*,

Mustapha,

Mohamed

et al. 2019

IJITEE

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Water quality indices are generally a combination of biological, chemical, physical parameters to form a numerical composite index that can be easily interpreted and shared. Their efficiency and usefulness in managing and monitoring water quality have been appreciated by management organizations around the world. The integration of these tools into computer applications can be a major asset. The main purpose of this article is to present a computer application that integrates a water quality index developed in Morocco to facilitate its use and avoid manual errors related to users. The application entirely developed in python language under PyCharm (Integrated Development Environment) is executable on a computer and is presented as a GUI (Graphical User Interface) containing two sub-interfaces to calculate the surface and groundwater quality index according to the type of water analyzed.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Development of a Computer Application for the Calculation of Water Quality Index in Morocco

Soumaila*,

Mustapha,

Mohamed

et al. 2019

IJITEE

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“…The main concern in developing a comprehensive irrigation water quality index is how to determine the proper weights for various parameters considered. Many researchers who have developed different techniques of water quality indicators (WQI) (Horton 1965;Prati et al 1971;Dinius 1972;Dee et al 1973;Walski and Parker 1974;Ribeiro et al 2002), most of which are designed to evaluate water quality for drinking purpose. Recently, Singh et al (2018a) have developed an overall index for categorization of irrigation water quality based on Indian standards which set by the Central Pollution Control Board.…”

Section: Introductionmentioning

confidence: 99%

Classification of groundwater suitability for irrigation purposes using a comprehensive approach based on the AHP and GIS techniques in North Kurdufan Province, Sudan

2021

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Deterioration of groundwater quality due to drastic human interventions is rising at an alarming rate particularly in lower- and middle-income countries. Yet, limited research effort has been devoted to monitoring and ascertaining groundwater quality. The present study develops a comprehensive irrigation water quality index (IWQI) for rating water quality of shallow and deep aquifers in North Kurdufan province, Sudan. The new approach is developed to overcome the deficiencies of the existing irrigation indices and coming up with a unified decision for classifying water quality for irrigation purposes. Because of these indices like permeability index (PI), sodium absorption ratio (SAR), etc., depending on specific elements, entirely subjective, as well as the great variations in their results, particularly when classifying water quality. Thus, IWQI is created based on eight indices that are generally used to evaluate irrigation water quality, plus three physicochemical parameters have been proven an impact on water quality. The analytic hierarchy process (AHP) is applied to minimize the subjectivity at assign parameter weights under multiple criteria decision analysis tools (MCDA). The spatial distribution of IWQI agrees with the spatial distribution of the most parameters. The results of our approach reveal that the majority of samples are suitable for irrigation uses for both aquifers except few wells in the confined aquifer. Also, noted that there are very variations in the irrigation indices results for classifying water quality. The comparison result showed that the new index robust, fair calculations and has best classifying of water quality.

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“…Only a few studies are taking into account appropriate technical approaches to introduce a quality index for bottled waters (Toma, Ahmed et al 2013;Tsakiris, Alexakis et al 2017). The prominent studies among the former attempts to develop a water quality index are the works of Horton (Horton 1965) and Walski (Walski and Parker 1974). They developed indices to evaluate surface water sources, mainly rivers, using the input parameters temperature, nutrients, suspended solids, turbidity, coliform bacteria, dissolved oxygen, color, pH, grease, odor, and toxic.…”

Section: Introductionmentioning

confidence: 99%

Assessment the Quality of Bottled Drinking Water Through Mamdani Fuzzy Water Quality Index

Asgari

Komijani

Seid‐Mohammadi

et al. 2021

Preprint

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In this investigation, an innovative index was developed based on the fuzzy inference system for assessing the quality of bottled drinking waters. A method was developed to aggregate the values obtained from the defuzzification step. A total number of 24 quality parameters revealing the characteristics of bottled were in terms of physiochemical, dietary, toxic, and pathogenic aspects were selected as the input parameters. 30 samples were taken from the independent brands found in the Hamadan province retail market to evaluate the bottled water quality index (BWQI). Results show that the values obtained from measuring the parameters are in the range of the standard levels set by national regulations. The BWQI scores obtained from samples were in the range of 61.2–73.8 attributing to the marginal and fair descriptive classes. Sensitivity analysis using the Monte Carlo algorithm reveals that the parameters NO3, Na, hardness, and NO2 have the most impact on the BWQI scores.

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Consumers Water Quality Index

Cited by 64 publications

References 0 publications

Development of a Computer Application for the Calculation of Water Quality Index in Morocco

Development of a Computer Application for the Calculation of Water Quality Index in Morocco

Classification of groundwater suitability for irrigation purposes using a comprehensive approach based on the AHP and GIS techniques in North Kurdufan Province, Sudan

Assessment the Quality of Bottled Drinking Water Through Mamdani Fuzzy Water Quality Index

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