Water Quality Assessment Techniques

Saha, Priti; Paul, Biswajit

doi:10.1007/978-3-030-33281-5_5

Cited by 2 publications

(1 citation statement)

References 144 publications

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“…This method has recently proven beneficial in assessing water quality and monitoring geographical information about water resources. WQI is one of the most useful methods for assessing the quality of drinking water very effectively and efficiently (Boyd, 2000;Magha et al, 2021;Akakuru et al, 2022) and it can be computed in a variety of ways (Saha and Paul 2020). Regardless of the methods, the aggregate of several water quality parameters is obtainable in a single dimensionless digit expressing the drinking water quality that has a connection to human health (Tiwari et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

GIS-based groundwater quality assessment for domestic and irrigation purposes in Ogbia local government area of Bayelsa State, Nigeria

Akinluyi

Adeyeye

Agbo

2022

ijhs

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Groundwater is germane to human existence. The study assessed the physicochemical attributes of groundwater for domestic and irrigation applications. This was conducted by collecting and subjecting thirty (30) groundwater samples to physicochemical analysis. Thirteen parameters such as pH, electrical conductivity, total dissolved solids, total hardness, magnesium, calcium, sodium, iron, fluoride, chloride, sulphate, nitrate, and phosphate were used to compute water quality index (WQI). While chloride, electrical conductivity, magnesium adsorption ratio (MAR) and sodium adsorption ratio (SAR) were used to characterise the groundwater for irrigation purposes. Inverse distance weighted (IDW) interpolation method was used to develop spatial variation maps for both the WQI and the irrigation indices. Except for iron and fluoride, the results of the physicochemical parameters were within the WHO permissible limits. The WQI values for the boreholes range between 23.53 and 393.72 with a mean value of 108.69. The WQI was classified into excellent water (7.89%), good water (40.00%), poor water (43.34%), very poor water (5.44%) and unsuitable water (3.33%). The results for irrigation indices show that chloride and EC fall within the suitable groundwater status, MAR classified into suitable (46.67%) and unsuitable (53.33%), and SAR delineate the groundwater status into suitable (43.33%) and marginally suitable (56.67%).

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Section: Introductionmentioning

confidence: 99%

GIS-based groundwater quality assessment for domestic and irrigation purposes in Ogbia local government area of Bayelsa State, Nigeria

Akinluyi

Adeyeye

Agbo

2022

ijhs

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Drinking Water Quality Assessment Using a Fuzzy Inference System Method: A Case Study of Rome (Italy)

Gorelova

Bellini

et al. 2023

IJERPH

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Drinking water quality assessment is a major issue today, as it is crucial to supply safe drinking water to ensure the well-being of society. Predicting drinking water quality helps strengthen water management and fight water pollution; technologies and practices for drinking water quality assessment are continuously improving; artificial intelligence methods prove their efficiency in this domain. This research effort seeks a hierarchical fuzzy model for predicting drinking water quality in Rome (Italy). The Mamdani fuzzy inference system is applied with different defuzzification methods. The proposed model includes three fuzzy intermediate models and one fuzzy final model. Each model consists of three input parameters and 27 fuzzy rules. A water quality assessment model is developed with a dataset that considers nine parameters (alkalinity, hardness, pH, Ca, Mg, fluoride, sulphate, nitrates, and iron). These nine parameters of drinking water are anticipated to be within the acceptable limits set to protect human health. Fuzzy-logic-based methods have been demonstrated to be appropriate to address uncertainty and subjectivity in drinking water quality assessment; they are an effective method for managing complicated, uncertain water systems and predicting drinking water quality. The proposed method can provide an effective solution for complex systems; this method can be modified easily to improve performance.

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Water Quality Assessment Techniques

Cited by 2 publications

References 144 publications

GIS-based groundwater quality assessment for domestic and irrigation purposes in Ogbia local government area of Bayelsa State, Nigeria

GIS-based groundwater quality assessment for domestic and irrigation purposes in Ogbia local government area of Bayelsa State, Nigeria

Drinking Water Quality Assessment Using a Fuzzy Inference System Method: A Case Study of Rome (Italy)

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