Assessment of Drinking Water Quality Using Water Quality Index: A Review

Manna, Atanu; Biswas, Debasish

doi:10.1007/s41101-023-00185-0

Cited by 14 publications

(5 citation statements)

References 90 publications

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“…Water quality indices have been developed around the world, such as Entropy Water Quality Index (EWQI) and the Canadian Council of Ministers of the Environment Water Quality Index (CCMEWQI) [ 42 , 43 ]. However, much attention has been given in recent years to the evaluation of water quality indices in ground and surface water, with the development of the entropy-based water quality index (EWQI) [ [44] , [45] , [46] , [47] ]. This method seamlessly integrates numerous environmental parameters into a single value indicating the state of water quality.…”

Section: Methodsmentioning

confidence: 99%

Impacts of seasonal variations and wastewater discharge on river quality and associated human health risks: A case of northwest Dhaka, Bangladesh

Hassan,

Moniruzzaman,

Majumder

et al. 2023

Heliyon

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Section: Methodsmentioning

confidence: 99%

Impacts of seasonal variations and wastewater discharge on river quality and associated human health risks: A case of northwest Dhaka, Bangladesh

Hassan,

Moniruzzaman,

Majumder

et al. 2023

Heliyon

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“…Water Quality Indices (WQIs) are analytical tools designed to provide a synthetic, global assessment of water quality. They transform complex data from multiple physicochemical and biological parameters into a single index or simple notation, making it easier to understand and communicate information on water status [37,38]. These parameters include, but are not limited to, water temperature, pH, dissolved oxygen concentration, the presence of organic and inorganic matter, as well as the presence of various contaminants such as heavy metals or pathogenic micro-organisms [38].…”

Section: Definition Water Quality Index (Wqi)mentioning

confidence: 99%

“…They transform complex data from multiple physicochemical and biological parameters into a single index or simple notation, making it easier to understand and communicate information on water status [37,38]. These parameters include, but are not limited to, water temperature, pH, dissolved oxygen concentration, the presence of organic and inorganic matter, as well as the presence of various contaminants such as heavy metals or pathogenic micro-organisms [38]. The importance of WQIs lies in their ability to provide a comprehensible and quantified picture of water quality, which is essential for water resource management and environmental protection [39].…”

Section: Definition Water Quality Index (Wqi)mentioning

confidence: 99%

Water quality indices (WQIs): An in-depth analysis and overview

Moudou,

El Hammoudani,

Haboubi

et al. 2024

E3S Web Conf.

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A wide range of variables, both human and natural in origin, can negatively impact aquatic ecosystems, especially when they accumulate excessively. While some of these elements are vital for aquatic life, their high concentration poses a risk. Consequently, a monitoring and analysing water resource to assess the impact of these elements becomes essential. Commonly, water quality indices (WQIs) are used for this purpose. The continuous improvement, simplification, and adaptation of WQIs are necessary to meet the evolving needs of water management. This work focuses on developing a comprehensive model for assessing water quality in North of Moroccan watersheds. It aims to review and define the goals of water quality monitoring, classify the tools used for this purpose, and describe the process of developing WQIs.

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“…Variations have made it probable to use fewer assets and accomplish less effort. Although, there has never been a demand and supply balance because of the high population density [1]. By 2050, it is expected that there will be 9.8 billion folks on earth.…”

Section: Introductionmentioning

confidence: 99%

An IoT and machine learning solutions for monitoring agricultural water quality: a robust framework

Rahu,

Shaikh,

Karim

et al. 2024

Mehran Univ. res. j. eng. technol.

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All living things, comprising animals, plants, and people require water to survive. The world is covered in water, just 1 percent of it is fresh and functional. The importance and value of freshwater have increased due to population growth and rising water demands. Approximately more than 70 percent of the world's freshwater is used for agriculture. Agricultural employees are the least productive, inefficient, and heavily subsidized water users in the world. They also utilize the most water overall. Irrigation consumes a considerable amount of water. The field's water supply needs to be safeguarded. A critical stage in estimating agricultural production is crop irrigation. The global shortage of fresh water is a serious issue, and it will only get worse in the years to come. Precision agriculture and intelligent irrigation are the only solutions that will solve the aforementioned issues. Smart irrigation systems and other modern technologies must be used to improve the quantity of high-quality water used for agricultural irrigation. Such a system has the potential to be quite accurate, but it requires data about the climate and water quality of the region where it will be used. This study examines the smart irrigation system using the Internet of Things (IoT) and cloud-based architecture. The water's temperature, pH, total dissolved solids (TDS), and turbidity are all measured by this device before the data is processed in a cloud using the range of machine learning (ML) approaches. Regarding water content limits, farmers are given accurate information. Farmers can increase production and water quality by using effective irrigation techniques. ML methods comprising support vector machines (SVM), random forests (RF), linear regression, Naive Bayes, and decision trees (DT) are used to categorize pre-processed data sets. Performance metrics like accuracy, precision, recall, and f1-score are used to calculate the performance of ML algorithms.

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Assessment of Drinking Water Quality Using Water Quality Index: A Review

Cited by 14 publications

References 90 publications

Impacts of seasonal variations and wastewater discharge on river quality and associated human health risks: A case of northwest Dhaka, Bangladesh

Impacts of seasonal variations and wastewater discharge on river quality and associated human health risks: A case of northwest Dhaka, Bangladesh

Water quality indices (WQIs): An in-depth analysis and overview

An IoT and machine learning solutions for monitoring agricultural water quality: a robust framework

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