Water Quality Index (WQI) for Main Source of Drinking Water (Karaçomak Dam) in Kastamonu City, Turkey

Imneisi, Idris Basher; Aydin, Miraç

doi:10.4172/2161-0525.1000407

Cited by 20 publications

(16 citation statements)

References 11 publications

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“…The advantage of the number of water quality indicators developed is that they efficiently give the total water quality for a given area. An example of different water quality indicators developed around the world is the American National Sanitation International Journal of Advances in Chemistry (IJAC) Water Quality Index (NSFWQI), these indicators give water quality in a single value by comparing different parameters according to the criteria [10]. The present study aims to asses and calculate the concentrations of physical and chemical parameters of Rosetta branch water and drains waste water were matched with the standard values established by FAO (1994) for irrigation and Canadian Council of Ministers of the Environment (CCME) (2011) for aquatic life as well as calculate the WQI of Rosetta branch water.…”

Section: -Introductionmentioning

confidence: 99%

Water Quality Index and Environmental Assessment of Rosetta Branch Aquatic System, Nile River, Egypt

et al. 2021

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This study was carried out on Rosetta branch water and 3 drains (El-Rahawy, El-Soble and El-Gezira) that discharging wastewater into it, to assess the Water Quality Index (WQI) of their waters. This investigation was performed during the period starting from winter 2017 to summer 2018. The mean annual averages of WQI values of Rosetta branch water were good to poor for irrigation (up to 55) and from poor to very poor for aquatic life (up to 97) at stations exposed to wastewater discharged from drains into water branch. The obtained values of physical and chemical variables of Rosetta branch and drains water were matched with the standard values set by FAO (1994) for irrigation, Canadian Water Quality Guidelines (2011) for aquatic life and WHO ( 2007) for drinking water. The obtained results indicated that the values of examined variables were higher than the recommended standards which affects the environmental live in this area and producing healthy problems. The concentrations of physical and chemical parameter were higher during winter than summer.

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Section: -Introductionmentioning

confidence: 99%

Water Quality Index and Environmental Assessment of Rosetta Branch Aquatic System, Nile River, Egypt

et al. 2021

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“…To calculate the WQI in the present study, 8 parameters, namely, pH, EC, Ca, Mg, Na, Cl, SO 4 , and total count, were considered in the calculation of the WQI (Table 3) according to Equation (Chauhan and Singh 2010; Balan et al 2012; Tyagi et al 2013; Imneisi and Aydin 2016):

WQI = Σ q_{n} W_{n} / Σ W_{n},

where

q_{n}

is the quality rating, and

W_{n}

is the unit weight of n th water quality parameter. The quality rating

(q_{n})

is calculated using the relation given in Equation :

q_{n} = [(V_{n} - V_{io}) / (S_{n} - V_{io})] \times 100,

where

V_{n}

V_{io}

, and

S_{n}

are the estimated value, ideal value, and standard permissible value of the n th parameter, respectively.…”

Section: Resultsmentioning

confidence: 99%

“…To calculate the WQI in the present study, 8 parameters, namely, pH, EC, Ca, Mg, Na, Cl, SO 4 , and total count, were considered in the calculation of the WQI (Table 3) according to Equation 1 (Chauhan and Singh 2010;Balan et al 2012;Tyagi et al 2013;Imneisi and Aydin 2016):…”

Section: Water Quality Evaluationmentioning

confidence: 99%

Evaluation of Environmental Pollution and Microbial Treatment of Shallow Groundwater in El Omayed Area, Egypt

Hagagg

Hosny

Hussien

et al. 2020

Integr Envir Assess & Manag

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In the last few years, the northwestern coastal zone of Egypt has been affected by many stresses that impact its water resources, leading to undesirable consequences related to water quantity and quality. This paper aims to evaluate the possible contamination sources of shallow aquifers in the El‐Omayed area, Egypt, that are causing its deterioration; this was achieved through an integration of hydrochemical and isotopic techniques, an assessment of the undesirable consequences of potential toxic metals (PTMs) on human health risk as a result of direct water consumption, and finally, the application of biological treatment in the remediation of some metal contamination. The chemical composition, environmental isotopes (δ18O and δ2H), and microbial analyses were analyzed from 13 collected water samples. Approximately 20% of the groundwater samples were classified as fresh water, and the rest were classified as slightly saline to moderately saline. Stable isotopes proved the contribution of the El Sheikh Zoied canal (which is mainly recharged from the Nile system) as a recharge source. The toxicity of PTMs (Cd, Cu, Co, Cr, Pb, Zn, B, and Fe) was evaluated on the basis of their exceedance values. It was proven that the majority of the groundwater samples were contaminated, which might be attributed to natural and anthropogenic actions in the study area; however, according to human health risk exposure assessment calculations, there is no human cancer risk posed via ingestion of drinking groundwater. The total bacterial count was determined for all water samples; autochthonous microorganisms were capable of removing heavy metals in the polluted water sample. The bacterial strain M52, which was identified by 16S rRNA sequencing as Stenotrophomonas rhizophila, showed the best results, by removing 75% and 65% of the initial concentrations of Fe and B, respectively. The results indicate that this bacterial strain may be useful and represents an environmentally friendly method to remove pollutants and heavy metals from contaminated water. Integr Environ Assess Manag 2020;16:461–471. © 2020 SETAC

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“…Weighted Arithmetic Water Quality Index Method, British Columbia Water Quality Index (BCWQI), US National Sanitation Foundation Water Quality Index (NSFWQI), Smith's index, Canadian Council of Ministers of the Environment Water Quality Index (CCMEWQI), Bhargava water quality index method, Overall Index of Pollution (OIP), Oregon Water Quality Index (OWQI), etc. have been formulated and used worldwide for water quality evaluation (Alobaidy et al, 2010;Asadi et al, 2007;Bharti & Katyal, 2011;Debels et al, 2005;Hasan et al, 2015;Imneisi & Aydin, 2016;Javid et al, 2014;Jindal & Sharma, 2011;Kumari & Rani, 2014;Moscuzza et al, 2007;Muntasir et al, 2012;Patki et al, 2013;Sharifi, 1990;Singh et al, 2011;Tirkey et al, 2015;Zandagba et al, 2017). A weighted arithmetic index method calculation involves estimation of 'unit weight' of each water parameter and then by assigning unit-weights on such parameters, the quality rating of the parameters was calculated by using standard and ideal value of the parameters.…”

Section: Water Quality Index (Wqi)mentioning

confidence: 99%

Factors affecting lean, wet-season water quality of Tilaiya reservoir in Koderma District, India during 2013–2017

2020

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The reservoir at the Tilaiya Dam constructed on the Barakar river is one of the most important freshwater resources in the Koderma District in the state of Jharkhand in India. Its water is used primarily in agriculture, pisiculture, industry, regional thermal power plant, and various domestic errands viz. cooking, washing, and drinking. The reservoir also supports a wide variety of flora, fauna, and birds. This work reports the variation in seasonal water quality (pH, turbidity, DO, TDS, electrical conductivity, total hardness, iron, chloride, calcium, magnesium, alkalinity, phosphate, sulfate, fluoride, total bacterial count, and fecal coliform count) trends over a 4-year long period (July 2013-July 2017). Conspicuous dilution effect on water quality was observed during and just after the monsoon season while concentrations of TDS, electrical conductivity, iron, chloride, calcium, magnesium, phosphate, sulfate, and fluoride increased during summer. Principal Component Analysis/Factor Analysis (PCA/FA) identified three factors in the data structure, explaining about 71.5-77.9% of total variance in dataset. Run-off from catchment areas was one of the major factors that influenced water quality during the monsoon seasons. The t test indicated that except between summer and post-monsoon in 2013 and 2014, seasonal DO values had statistically significant difference. Also, turbidity in summer, postmonsoon and winter seasons had statistically significant differences while total hardness (TH) was statistically different in summer over winter but not in summer over post-monsoon. On the other hand, TDS did not have statistically significant seasonal shifts. Water quality index (WQI), pollution index (PI), comprehensive pollution index (CPI), computed over the study years revealed that water quality of the reservoir could be categorized as 'Good' but is gradually deteriorating. This calls for greater attention and proper management of the Tilaiya reservoir in the interest of environmental and regional sustainability of Koderma.

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Water Quality Index (WQI) for Main Source of Drinking Water (Karaçomak Dam) in Kastamonu City, Turkey

Cited by 20 publications

References 11 publications

Water Quality Index and Environmental Assessment of Rosetta Branch Aquatic System, Nile River, Egypt

Water Quality Index and Environmental Assessment of Rosetta Branch Aquatic System, Nile River, Egypt

Evaluation of Environmental Pollution and Microbial Treatment of Shallow Groundwater in El Omayed Area, Egypt

Factors affecting lean, wet-season water quality of Tilaiya reservoir in Koderma District, India during 2013–2017

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