Data on trend changes of drinking groundwater resources quality: A case study in Abhar

Yousefi, Mahmood; Dehghani, Mohammad Hadi; Nasab, S. M. Musavi; Taghavimanesh, Vahid; Nazmara, Shahrokh; Mohammadi, Ali Akbar

doi:10.1016/j.dib.2018.01.032

Cited by 51 publications

(25 citation statements)

References 9 publications

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“…This involves the floating of a cork material in the lotic water at a given time and the current velocity was calculated in m/s using the formula:

where

implies current velocity,

is the distance, and

is time parameter. Related researches on water quality and its assessment are not limited to the following [1] , [2] , [3] , [4] , [5] , [6] , [7] , [8] , [9] , [10] , [11] , [12] , [13] , [14] , [15] , [16] , [17] , [18] , [19] .…”

Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

Dataset on the assessment of water quality and water quality index of Ubogo and Egini rivers, Udu LGA, Delta State Nigeria

et al. 2018

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The article contains datasets built on a baseline study on the selected physicochemical parameters and Water Quality Index of Ubogo and Egini Rivers, Delta State, for a period of six months, spanning the time frame between February - July, 2010. Within this space, six stations were shared equally among the two rivers using the three communities they flow through as guide, and water samples were collected on monthly basis from these stations. The objectives include determination of the spatial variations and background concentrations of the selected physicochemical parameters. Sixteen physicochemical parameters were analyzed in the water. Current velocity, air and water temperature were determined in-situ; the rest physicochemical parameters were determined via adopting standard methods. Apart from turbidity, the values of the rest physical parameters – air and water temperature, TDS showed significant difference (p < 0.05) across the stations.

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“…This involves the floating of a cork material in the lotic water at a given time and the current velocity was calculated in m/s using the formula:

where

implies current velocity,

is the distance, and

Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

Dataset on the assessment of water quality and water quality index of Ubogo and Egini rivers, Udu LGA, Delta State Nigeria

et al. 2018

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“…In this study, 71 different brands of high-consumption bottled water in Iran were randomly selected, the nitrate concentration of all bottled water samples was measured using an Ion Chromatography No. 4110 in accordance with the method described in the book “Standard methods: For the examination water and wastewater, 22nd edn” [17] , [18] , [19] , [20] , [21] , [22] . Then, the health risks of exposure to nitrate in bottled water were assessed according to the classification conducted by Yousefi et al [12] .…”

Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

Determination of nitrate concentration and its risk assessment in bottled water in Iran

et al. 2018

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Bottled water is one of the sources of drinking water in many arid and semi-arid countries, including Iran. The greatest concern is the health effects of exposure to excessive nitrate concentrations in drinking water due to the development of methemoglobinemia in children. Therefore, the present study was aimed at determining the concentration of nitrate and its risk assessment in drinking water bottled in Iran. 71 different bottled water brands were identified in this study. The nitrate concentration in water samples was then measured using an Ion Chromatography No. 4110 in accordance Standard Methods for the Examination of Water and Wastewater. The hazard quotient (HQ) of nitrate was calculated using the formula based on input variables including nitrate concentration, water per capita, body weight and reference dose. The results showed that the concentration of nitrate in bottled water was in the range of 0.146–50.1 mg/L (average 10.55 mg/L) in one of which, the concentration of nitrate was higher than the WHO guideline. The mean EDI values for nitrate in different groups of infants, children, teenagers and adults were 0.0795, 0.5633, 0.3976 and 0.3186 mg/kg, respectively. The mean HQ values for nitrate in different groups of infants, children, teenagers and adults were 0.0528, 0.3737, 0.2638 and 0.2114, respectively. In general, the hazard quotient (HQ>1) for the population consuming bottled water, appropriate strategies should be considered in order to reduce the concentration of nitrate in bottled water.

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“…In order to evaluate the microbial quality of drinking water in villages of Zahedan city, 168 villages were selected as a comprehensive sample of all villages in this city. Between 2014–2015, 1221 microbial samples were prepared from the water facilities installed in these villages, and the microbial test was performed by MPN, P-A or MF methods and turbidity, temperature, and HPC tests based on the standard method [5] , [6] , [7] , [8] , [9] , [10] , [11] , [12] , [13] , [14] , [15] , [16] , [17] .…”

Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

Microbiological dataset of rural drinking water supplies in Zahedan, Iran

et al. 2018

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The residual chlorine and microbial quality of drinking water in the Zahedan villages by a number of1221 samples from all 168 villages were collected between 2014–2015. Then the samples were evaluated using 9-tube fermentation methods and portable chlorine method test. Based on the microbial coliform and fecal coliform indices, the data indicated that the maximum and minimum controlling of the bacteria in the distribution network were in the winter (90.62%) and autumn (85.56%), respectively. Also in the reservoirs, the maximum and minimum controlling of the bacteria were in winter (93.49%) and autumn (87.35%), respectively. The residual chlorine was prepared in almost all of seasons.

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Data on trend changes of drinking groundwater resources quality: A case study in Abhar

Cited by 51 publications

References 9 publications

Dataset on the assessment of water quality and water quality index of Ubogo and Egini rivers, Udu LGA, Delta State Nigeria

Dataset on the assessment of water quality and water quality index of Ubogo and Egini rivers, Udu LGA, Delta State Nigeria

Determination of nitrate concentration and its risk assessment in bottled water in Iran

Microbiological dataset of rural drinking water supplies in Zahedan, Iran

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