scholarly journals Determination of the water quality index in two rural properties in the Municipality of Guatambu-SC/ Determinação do índice de qualidade da água em duas propriedades rurais no Município de Guatambu-SC

2021 ◽  
Vol 7 (4) ◽  
pp. 34480-34491
Author(s):  
Matheus Cavali ◽  
Ana Paula Fagundes ◽  
Deise Regina Lazzarotto

Knowing the quality of water resources is fundamental to guarantee its different functions in the environment. In this sense, this study highlighted the relationship between land use and occupation with water quality, since the objective was to assess water quality in two rural properties in the municipality of Guatambu in the state of Santa Catarina, Brazil. Five points for analysis and their geographic coordinates were demarcated in each property using the Global Positioning System (GPS) and inserted into the Quantum GIS (QGIS) software for spatial assessment. For the water quality analysis of each point, the following parameters were determined: pH, electrical conductivity, dissolved oxygen, color, turbidity, alkalinity, chlorides and biochemical oxygen demand. According to these results, the Bascarán surface water quality index (SWQIB) was estimated. As demonstrated by the results, both properties presented an SWQIB ranging from “medium” to “good”. However, when comparing the points intended for human consumption with the Brazilian Decree 2,914 of December 2011, it was found that the color and turbidity parameters were in disagreement in some cases. However, these two parameters can easily vary. In addition, it was noted that points classified with SWQIB "good" have a better protection area when compared to points classified with SWQIB "medium". 

2021 ◽  
Vol 11 (2) ◽  
Author(s):  
Arjun Ram ◽  
S. K. Tiwari ◽  
H. K. Pandey ◽  
Abhishek Kumar Chaurasia ◽  
Supriya Singh ◽  
...  

AbstractGroundwater is an important source for drinking water supply in hard rock terrain of Bundelkhand massif particularly in District Mahoba, Uttar Pradesh, India. An attempt has been made in this work to understand the suitability of groundwater for human consumption. The parameters like pH, electrical conductivity, total dissolved solids, alkalinity, total hardness, calcium, magnesium, sodium, potassium, bicarbonate, sulfate, chloride, fluoride, nitrate, copper, manganese, silver, zinc, iron and nickel were analysed to estimate the groundwater quality. The water quality index (WQI) has been applied to categorize the water quality viz: excellent, good, poor, etc. which is quite useful to infer the quality of water to the people and policy makers in the concerned area. The WQI in the study area ranges from 4.75 to 115.93. The overall WQI in the study area indicates that the groundwater is safe and potable except few localized pockets in Charkhari and Jaitpur Blocks. The Hill-Piper Trilinear diagram reveals that the groundwater of the study area falls under Na+-Cl−, mixed Ca2+-Mg2+-Cl− and Ca2+-$${\text{HCO}}_{3}^{ - }$$ HCO 3 - types. The granite-gneiss contains orthoclase feldspar and biotite minerals which after weathering yields bicarbonate and chloride rich groundwater. The correlation matrix has been created and analysed to observe their significant impetus on the assessment of groundwater quality. The current study suggests that the groundwater of the area under deteriorated water quality needs treatment before consumption and also to be protected from the perils of geogenic/anthropogenic contamination.


Water ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 336
Author(s):  
Nguyen Thanh Giao ◽  
Phan Kim Anh ◽  
Huynh Thi Hong Nhien

The study was conducted to spatiotemporally analyze the quality, location and critical water variables influencing water quality using water monitoring data from the Department of Environment and Natural Resources, Dong Thap province in 2019. The water quality parameters including turbidity, pH, temperature, dissolved oxygen (DO), total suspended solids (TSS), biological oxygen demand (BOD), chemical oxygen demand (COD), nitrite (N-NO2−), nitrate (N-NO3−), ammonium (N-NH4+), total nitrogen (TN), orthophosphate (P-PO43−), chloride (Cl−), oil and grease, sulfate (SO42−), coliforms, and Escherichia coli (E. coli) were collected at 58 locations with the frequency of four times per year (February, May, August, and November). These parameters were compared with national technical regulation on surface water quality—QCVN 08-MT: 2015/BTNMT. Water quality index (WQI) was calculated and spatially presented by geographical information system (GIS) tool. Pearson correlation analysis, cluster analysis (CA), and principal component analysis (PCA) were used to evaluate the correlation among water quality parameters, group and reduce the sampling sites, and identify key parameters and potential water pollution sources. The results showed that TSS, BOD, COD, N-NH4+, P-PO43−, coliforms, and E. coli were the significant concerns impairing the water quality. Water quality was assessed from poor to medium levels by WQI analysis. CA suggested that the current monitoring locations could be reduced from 58 sites to 43 sites which can be saved the total monitoring budget up to 25.85%. PCA showed that temperature, pH, TSS, DO, BOD, COD, N-NH4+, N-NO2−, TN, P-PO43−, coliforms, and E. coli were the key water parameters influencing water quality in Dong Thap province’s canals and rivers; thus, these parameters should be monitored annually. The water pollution sources were possibly hydrological conditions, water runoff, riverbank erosion, domestic and urban activities, and industrial and agricultural discharges. Significantly, the municipal and agricultural wastes could be decisive factors to the change of surface water quality in the study area. Further studies need to focus on identifying sources of water pollution for implementing appropriate water management strategies.


2019 ◽  
Vol 35 (3) ◽  
pp. 1125-1131
Author(s):  
M. Jeyaraj ◽  
A. Indhuleka ◽  
C. Arunpaul

This investigation deals with the determination of various physico-chemical and biological parameters of surface water quality of river Noyyal and its connected ponds at Coimbatore, India. Based on their significance, the sampling locations were selected. There are five sampling locations were selected like river Noyyal at sorce (S1), Perur Lake, (S2), Ukkadam Pond (S3), Singanallur Lake (S4) and Sulur Pond (S5), and samples were collected from each locations at river Noyyal basin in and around Coimbatore district. The surface water quality index determination is prerequisite and essential. In this present work, from different methods of water quality determination, the most commonly used index of National Sanitation Foundation water quality index (NSF-WQI) has been followed. The physico-chemical and biological parameters such as dissolved oxygen, faecal coliforms counts, pH, biochemical oxygen demand, phosphate, nitrates, turbidity, and total dissolved solids were investigated. Except in Noyyal river at source (S1) all the measured parameters are showed to be very high compared to limits suggested by WHO particularly during summer season and thereby it is not suitable for public use.


2019 ◽  
Vol 70 (2) ◽  
pp. 398-406
Author(s):  
Romana Drasovean ◽  
Gabriel Murariu ◽  
Gigi Constantinescu ◽  
Adrian Circiumaru

In order to determine the water quality of Danube River, in the Galati area, the Water Quality Index was calculated. Water Quality Index is a useful number of overall qualities of water. Galati is a Danube port city located in south-eastern of Romania. Samples were taken from 9 places along the Danube starting with the place where the Siret flows into the Danube to the Profiland Steel Plant. Profiland Steel is a company in Galai whose main activities are: sheet and zinc strips; treatment and coating of metals. The monitoring period was one year, from November 2016 to December 2017. Every month, thirty physical - chemical parameters were investigated. In this study the assessment of surface water quality was determined on the basis of various indicators such as: potassium and calcium ions, nitrites, nitrates, total nitrogen, ammonium, chlorides, total phosphorus, sulphates, cadmium, chrome, copper, lead, iron, zinc, density, dissolved oxygen, chemical oxygen demand (CCO-Cr), biochemical oxygen demand (CBO5), electrical conductivity, the density of the conductivity, resistivity, pH, salinity, total dissolved solids. The water quality index (WQI) has been calculated by using Weighted Arithmetic Water Quality Index Method. Two types of correlations were developed: Pearson correlation matrix and Spearman correlation.


2014 ◽  
Vol 3 (1) ◽  
pp. 168-176 ◽  
Author(s):  
Hiren B Soni ◽  
Sheju Thomas

The present study involved the determination of surface water quality index of tropical sacred wetland viz. Dakor Pilgrimage Wetland (DPW), Central Gujarat, India. The main aim of the study was to evaluate various water quality parameters to draw-out the water quality index for an assessment of a tropical aquatic body. The monthly values of pH, Dissolved Oxygen (DO), Total Suspended Solids (TSS), Total Dissolved Solids (TDS), Total alkalinity (TA), Total Hardness (TH), Calcium Hardness (Ca), Magnesium Hardness (Mg), Chloride, Sulphate, Phosphate, Sodium, and Potassium, were analyzed to compute water quality index (WQI). The results manifest that WQI at site 1 (D1) was maximum (161.74), followed by D2 (159.96), and minimum at site 3 (D3) (157.19). The values clearly depicts that quality of water is completely unfit for human consumption unless and until strict and mandatory steps are taken to rejuvenate it. The suggestive measures to improve the overall health of an aquatic body is also discussed herewith alongwith conservation measures and management strategies. DOI: http://dx.doi.org/10.3126/ije.v3i1.9952 International Journal of Environment Vol.3(1) 2014: 168-176


2017 ◽  
Vol 4 (4) ◽  
pp. 475-482 ◽  
Author(s):  
H. R. Bharathi ◽  
S. Manjappa ◽  
T. Suresh ◽  
B. Suresh

Present communication deals with a study of Physico-chemical parameters such as pH, Temperature, Total Suspended Solids, Turbidity, Dissolved Oxygen, Biochemical Oxygen Demand, Nitrate and Phosphate in water samples of Channarayapatna, Janivara, Anekere and Baghur water bodies in Channarayapatna taluka, Karnataka state of India. The water quality of the samples was compared with standard values given by World Health Organization (WHO) and United State Salinity Laboratory for drinking and irrigation purposes. Water Quality Index (WQI) was also calculated to know the overall quality of water samples. Water quality index (WQI) of Surface water body of various Sampling locations of Channarayapatna taluka, Karnataka ranged between 61.82 and 68.27 indicates the fair quality of water. The water quality index is calculated by indicator (100-point scale) shows that water is suitable for drinking purposes only after pretreatment like filtering, boiling, reverse osmosis and electro dialysis. WQI can play a big role in justifying the water pollution problems after encountered in different surface water bodies. Application of Water Quality Index (WQI) in this study has been found useful in assessing the overall quality of water and to get rid of judgment on quality of the surface water.Int J Appl Sci Biotechnol, Vol 4(4): 475-482


2017 ◽  
pp. 390-399
Author(s):  
Jigna Desai Desai ◽  
S.K. Tank

Water quality monitoring is an important aspect of water management concerning to the pollution control. Present communication deals with study of physico-chemical parameters such as pH, temperature , total dissolved solids (TDS),total suspended solids (TSS), total alkalinity (TA), , total hardness (TH), chloride (Cl), fluoride (F), sodium (Na), calcium (Ca), magnesium (Mg), sulphate (SO4), nitrate(NO3), nitrite (NO2), dissolved oxygen (DO), biochemical oxygen demand (BOD), chemical oxygen demand (COD) and heavy metals like chromium (Cr), arsenic (As), lead (Pb) and cadmium (Cd) of water samples from five sampling sites of River Tapti, Surat, Gujarat state, India. The water samples were collected at regular interval of 30 days for two consecutive years 2008-2009. The experimental values of water samples were compared with standard values given by World Health Organization (WHO). Water Quality Index (WQI) was also calculated to know the overall quality of water samples by using Water Rating System adapted by Canadian Council for Minister of the Environment (CCME-WQI). The data were analyzed statistically to identify those parameters which are responsible for variation in Water Quality Index (WQI). To identify those parameters we have done correlation analysis, testing of hypothesis, factor analysis and regression Analysis by using SPSS (Statistical Package for Social Science). The results show that the quality of water is poor and not good for drinking or irrigation purpose. The variance was found significant at 1% level of significance in case of and turbidity, BOD, Cr and Pb. It was found significant at 5% level in case of COD.


Author(s):  
Jennifer Ortiz-Letechipia ◽  
Julián González-Trinidad ◽  
Hugo Enrique Júnez-Ferreira ◽  
Carlos Bautista-Capetillo ◽  
Sandra Dávila-Hernández

The supply of drinking water to the population is an important challenge facing humanity, since both surface and underground sources present a great variability of water storage with respect to space and time. This problem is further aggravated in arid and semi-arid areas where rainfall is low and torrential, which makes groundwater the main source of supply; therefore, it is necessary to carry out studies that allow evaluating the evolution of the quantity and quality of water. This study addresses the behavior of groundwater in a semi-arid region, considering the theory of flow systems to identify movement as well as water quality, es determined by a water quality index (WQI), calculated considering arsenic and fluorine. In addition, a quality irrigation classification is used, employing the norms in accordance with international standards and the Mexican Norm, which allows for a comparison. Local, regional, intermediate and mixed flow systems are identified, and the evolution of cations and anions in addition to temperature is examined. It is observed that the drinking water quality index classifies them as excellent in most of the monitored wells (<50), but with a negative evolution. Regarding irrigation, most of the water samples are classified without restriction for the establishment of any type II crop (C2S1) and with restrictions for horticultural crops. It is observed that arsenic had values between 0.49 and 61.40 (µg/L) in 2005, while in 2015 they were between 0.10 and 241.30 (µg/L). In addition, fluoride presented values between 0.00 and 2.6 (mg/L) in 2005, while in 2015 they were between 0.28 and 5.40 (mg/L). The correlations between arsenic and fluorine are noted as well as WQI and SAR. A finding in this research was to include arsenic and fluorine in the calculation of the WQI allowing a better interpretation of the quality of water for both human consumption and for agricultural use to based on this make the best decision to control any harmful effects for the population, in addition to identifying the appropriate purification treatment required to control pollutants. It is concluded that arsenic is an element of utmost importance when considering water quality, so it is necessary to examine its evolution and continue to monitor its levels constantly.


Author(s):  
S.K. Pathak ◽  
Shambhu Prasad ◽  
Tanmay Pathak

The present paper was intended to calculate water quality index (WQI) of river Bhagirathi. It is one of the tributary of holy river Ganga of India. In order to determine the quality of its water for public use, recreation and other purposes , the eleven parameters like pH, electric conductivity, Total dissolve solids, Total suspended solids, Dissolve oxygen , Biological oxygen demand, Total alkalinity, Total hardness, Chloride, Nitrate and Sulphate were determine. The water quality index calculated from the observed parameters indicate the river Bhagirathi at  Uttarakhand during winter was under good water quality condition, while at summer and rainy season of showed poor water quality index. In terms of index number ,offers a useful representation of overall quality of water for public or for any intended use as well as in the pollution mitigate plan and in water quality management.


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