Water quality assessment of shallow aquifer based on Canadian Council of Ministers of the environment index and its impact on irrigation of Mathura District, Uttar Pradesh

Ahmed, Salman; Khurshid, Shadab; Madan, Richa; Amarah, Bassam A. Abu; Naushad, Mu.

doi:10.1016/j.jksus.2019.11.019

Cited by 60 publications

(15 citation statements)

References 12 publications

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“…There are numerous WQI for rivers based on physical, chemical, microbiological, and biological parameters [9,15,19,23,53,93], with criteria in national or international standards or norms [94][95][96][97]. However, aspects such as heavy metals are often not considered [54,93,98,99].…”

Section: High Andean Water-quality Indexmentioning

confidence: 99%

Proposal of a Water-Quality Index for High Andean Basins: Application to the Chumbao River, Andahuaylas, Peru

Choque-Quispe

Froehner

Palomino-Rincón

et al. 2022

Water

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The water from the high Andean rivers is peculiar due to its composition and the geomorphology of its sources, and naturally or anthropogenically contamination is not discarded along its course. This water is used for agriculture and human consumption, therefore knowing its quality is important. This research aimed to proposing and formulate a water-quality index for high Andean basins through the Delphi method, and its application in the Chumbao River located in Andahuaylas-Peru. Forty-three water-quality parameters were evaluated through the Delphi method, and the water-quality index (WQIHA) was formulated with a weighted average of the weights of the selected parameters, it was compared with the WQI Dinius. For this purpose, ten sampling points were considered along the Chumbao River located between 4274 and 2572 m of altitude and the WQIHA was applied. In addition, field and laboratory analyses were carried out in 2018, 2019, and 2021, in dry and rainy seasons. Twenty parameters were grouped in the physicochemical sub-index (SIPC), heavy metals sub-index (SIHM), and organic matter sub-index (SIOM). Each group contributed with weights of 0.30, 0.30, and 0.40, respectively, for the WQIHA formulation. The SIPC and SIOM showed that the areas near the head of the basin presented excellent and good quality, while the urbanized areas were qualified as marginal to poor; SIHM reported good quality in all points and seasons. Regarding the WQIHA, the index shows good quality in the zones above 3184 m of altitude, contrasting with poor quality downstream, decreasing notably in both seasons, suggesting continuous degradation of the water body.

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Section: High Andean Water-quality Indexmentioning

confidence: 99%

Proposal of a Water-Quality Index for High Andean Basins: Application to the Chumbao River, Andahuaylas, Peru

Choque-Quispe

Froehner

Palomino-Rincón

et al. 2022

Water

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“…In this study, the MR value varied from 5.93% to 80.4%, with an average value of 51.4, and 52.1% of the area exceeded the critical value (Table 9). Moreover, PS was used to examine irrigation water quality (Ahmed et al, 2020;Tahmasebi et al, 2018), with values of less than 3 considered as good, between 3 and 15 as moderate, and higher than 15 as unsuitable for irrigation (Donnen, 1961). The outcome of the study highlighted that PS values were between 2.68 and 13.3, identifying 2% of the area as well and 98% moderately suitable for irrigation.…”

Section: Spatial Distribution Of Irrigation Water Quality Indicesmentioning

confidence: 99%

Assessment of groundwater quality for irrigation and drinking using different quality indices and geostatistical methods in Çorum province (Turkey)*

Kiy¹,

Arslan

2021

Irrigation and Drainage

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Groundwater is widely used for irrigation and drinking purposes. Therefore, assessing groundwater quality is very important for sustainable agricultural irrigation and human welfare. In this study, different water quality indices including electrical conductivity (EC), sodium adsorption ratio, permeability index, sodium percentage, Langelier saturation index, residual sodium carbonate, magnesium ratio (MR), Kelly index (KI), potential salinity (PS), and irrigation water quality index (IWQI) were evaluated to determine the suitability for irrigation. The drinking water quality index (DWQI) was used to assess the suitability for drinking purposes. Spatial distribution maps were created by the ordinary kriging method, using the best semivariogram model parameters for each quality index. The Gaussian model gave the best results for all parameters except for MR and PS. Results from the study area showed that 86.1% of EC, 15.4% of KI, and 52.1% of MR were unsuitable for irrigation purposes, and none of the wells were fit for drip irrigation. The IWQI value was above 70 in 51.2% of this area, which is suitable for irrigation of all plants, whereas it was determined that about 13% of all areas are unsuitable for drinking purposes with regard to DWQI.

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“…It is defined as the sum of chloride and half of the sulphate ion concentration in groundwater (Ahmed et al, 2020). In the study area, PS ranges from 0.86 to 28.07 meq/L with a mean of 9.01 meq/L.…”

Section: Potential Salinity (Ps)mentioning

confidence: 99%

Appraisal of groundwater quality for drinking and irrigation purpose using GIS and statistical approach with special reference to nitrate contamination in a semi-arid region: A case study

Balamurugan¹,

MUNIRAJ²,

KARUPPANNAN

et al. 2020

Preprint

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Groundwater contamination has become an environmental issue all around the world. The specific objective of the present study is to evaluate the risk assessment of groundwater for nitrate contamination and in addition to assess the suitability of groundwater for domestic and irrigation purposes in the semi-arid region. Thirty sample locations were identified based on the more active industrial and high-densified residential regions in the study area. To evaluate the drinking and irrigation fitness of groundwater by analysed water quality parameters such as pH, Electrical conductivity, total dissolved solids, Total hardness, calcium, magnesium, sodium, potassium, chloride, sulphate, fluoride, carbonate and bicarbonate. According to World Health Organization (WHO) 2011 and Bureau of Indian Standard (BIS) 2012 standards, the GIS Spatial analysis of groundwater parameters was carried out to identify each parameter high contaminated regions in the study area. Multivariate statistical analysis, such as principal component analysis, cluster analysis, and Pearson correlation matrix, was used to understand the relationship between water quality parameters. The Results show that 40% of samples are highly affected due to the high concentration of nitrate. The total non-carcinogenic health risks for male, women, and children are 40%, 50%, and 53.33%, respectively. It reveals that, children and women are at high risk than male in the study region. The major sources of contamination are discharges from the household, uncovered septic tanks, leachate from the waste dump, and excess utilization of fertilizers in the agriculture field.

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Water quality assessment of shallow aquifer based on Canadian Council of Ministers of the environment index and its impact on irrigation of Mathura District, Uttar Pradesh

Cited by 60 publications

References 12 publications

Proposal of a Water-Quality Index for High Andean Basins: Application to the Chumbao River, Andahuaylas, Peru

Proposal of a Water-Quality Index for High Andean Basins: Application to the Chumbao River, Andahuaylas, Peru

Assessment of groundwater quality for irrigation and drinking using different quality indices and geostatistical methods in Çorum province (Turkey)*

Appraisal of groundwater quality for drinking and irrigation purpose using GIS and statistical approach with special reference to nitrate contamination in a semi-arid region: A case study

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