Comparative study of Drinking Water Quality Parameters of three Manmade Reservoirs i.e. Kolar, Kaliasote and Kerwa Dam

2006 ◽  
Vol 1 (1) ◽  
pp. 145-149 ◽  
Author(s):  
Ranjeeta Choudhary ◽  
Pushpa Rawtani ◽  
Monika Vishwakarma
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Comparative Study ◽  
Quality Parameters ◽  
Drinking Water Quality ◽  
Water Quality Parameters

Multivariate analysis of drinking water quality parameters in Bhopal, India

2007 ◽  
Vol 140 (1-3) ◽  
pp. 119-122 ◽  
Author(s):  
Charu Parashar ◽  
Neelam Verma ◽  
Savita Dixit ◽  
Rajneesh Shrivastava
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Multivariate Analysis ◽  
Quality Parameters ◽  
Drinking Water Quality ◽  
Water Quality Parameters

scholarly journals Legionella: A Promising Supplementary Indicator of Microbial Drinking Water Quality in Municipal Engineered Water Systems

2021 ◽  
Vol 9 ◽  
Author(s):  
Chiqian Zhang ◽  
Jingrang Lu
Keyword(s):  
Public Health ◽  
Water Quality ◽  
Drinking Water ◽  
Water Systems ◽  
Quality Parameters ◽  
Drinking Water Quality ◽  
Water Quality Parameters ◽  
Fecal Coliforms ◽  
Spatiotemporal Variations ◽  
Hydraulic Residence Time

Opportunistic pathogens (OPs) are natural inhabitants and the predominant disease causative biotic agents in municipal engineered water systems (EWSs). In EWSs, OPs occur at high frequencies and concentrations, cause drinking-water-related disease outbreaks, and are a major factor threatening public health. Therefore, the prevalence of OPs in EWSs represents microbial drinking water quality. Closely or routinely monitoring the dynamics of OPs in municipal EWSs is thus critical to ensuring drinking water quality and protecting public health. Monitoring the dynamics of conventional (fecal) indicators (e.g., total coliforms, fecal coliforms, and Escherichia coli) is the customary or even exclusive means of assessing microbial drinking water quality. However, those indicators infer only fecal contamination due to treatment (e.g., disinfection within water utilities) failure and EWS infrastructure issues (e.g., water main breaks and infiltration), whereas OPs are not contaminants in drinking water. In addition, those indicators appear in EWSs at low concentrations (often absent in well-maintained EWSs) and are uncorrelated with OPs. For instance, conventional indicators decay, while OPs regrow with increasing hydraulic residence time. As a result, conventional indicators are poor indicators of OPs (the major aspect of microbial drinking water quality) in EWSs. An additional or supplementary indicator that can well infer the prevalence of OPs in EWSs is highly needed. This systematic review argues that Legionella as a dominant OP-containing genus and natural inhabitant in EWSs is a promising candidate for such a supplementary indicator. Through comprehensively comparing the behavior (i.e., occurrence, growth and regrowth, spatiotemporal variations in concentrations, resistance to disinfectant residuals, and responses to physicochemical water quality parameters) of major OPs (e.g., Legionella especially L. pneumophila, Mycobacterium, and Pseudomonas especially P. aeruginosa), this review proves that Legionella is a promising supplementary indicator for the prevalence of OPs in EWSs while other OPs lack this indication feature. Legionella as a dominant natural inhabitant in EWSs occurs frequently, has a high concentration, and correlates with more microbial and physicochemical water quality parameters than other common OPs. Legionella and OPs in EWSs share multiple key features such as high disinfectant resistance, biofilm formation, proliferation within amoebae, and significant spatiotemporal variations in concentrations. Therefore, the presence and concentration of Legionella well indicate the presence and concentrations of OPs (especially L. pneumophila) and microbial drinking water quality in EWSs. In addition, Legionella concentration indicates the efficacies of disinfectant residuals in EWSs. Furthermore, with the development of modern Legionella quantification methods (especially quantitative polymerase chain reactions), monitoring Legionella in ESWs is becoming easier, more affordable, and less labor-intensive. Those features make Legionella a proper supplementary indicator for microbial drinking water quality (especially the prevalence of OPs) in EWSs. Water authorities may use Legionella and conventional indicators in combination to more comprehensively assess microbial drinking water quality in municipal EWSs. Future work should further explore the indication role of Legionella in EWSs and propose drinking water Legionella concentration limits that indicate serious public health effects and require enhanced treatment (e.g., booster disinfection).

scholarly journals Impact of service line replacement on lead, cadmium, and other drinking water quality parameters in Flint, Michigan

2021 ◽  
Vol 7 (4) ◽  
pp. 797-808
Author(s):  
Nicole C. Rockey ◽  
Yun Shen ◽  
Sarah-Jane Haig ◽  
Madeleine Wax ◽  
James Yonts ◽  
...  
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Quality Parameters ◽  
Drinking Water Quality ◽  
Water Quality Parameters ◽  
Service Line ◽  
Short And Long Term

This study elucidates the short- and long-term impacts of lead service line replacement in Flint homes following a corrosion event.

Spatial Assessment and the Most Significant Parameters for Drinking Water Quality Using Chemometric Technique: A Case Study at Malaysia Water Treatment Plants

2018 ◽  
Vol 7 (3.14) ◽  
pp. 115
Author(s):  
H M. Zolkipli ◽  
H Juahir ◽  
G Adiana ◽  
N Zainuddin ◽  
A Ismail ◽  
...  
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Spatial Variation ◽  
Sampling Strategy ◽  
Quality Parameters ◽  
Drinking Water Quality ◽  
Water Quality Parameters ◽  
P Value ◽  
Group Parameter ◽  
Water Pollutant

The objectives of this study are to determine the most significant spatial variation of drinking water pollutant and to identify the most significant parameters in each group of physico- chemical parameters (PCPs), Inorganic parameters (IOPs), heavy metals and organic parameters (HMOPs) and pesticides parameters (PPs). The Discriminant Analysis (DA) and One- Way Analysis of variance (ANOVA) showed spatial variation on four station categories and the variance of four group parameter in water drinking quality while principle component analysis (PCA) was carried out to identify the most significant of each water quality parameters base on given group. DA and ANOVA successfully reduced the physico and inorganic pollutants concentration with significant value 98.63% and 96.90%. PCA revealed six most significant drinking water quality parameters for PCPs, nine significant parameters for IOPs, fourteen parameters on HMOPs and four significant of PPs with the p value less than 0.05 (p < 0.05). Therefore, this study proves that chemometric method is the alternative way to explain the characteristic of the drinking water quality and could reduce several parameters and sampling points in the future sampling strategy.  

scholarly journals Analysis Of Drinking Water Quality Parameters A Case Study Of Hanumangarh Town

2018 ◽  
Vol Volume-2 (Issue-5) ◽  
pp. 75-82
Author(s):  
Shivam Vasudev ◽  
Dr. Bharat Nagar ◽  
Mr. Mukesh Choudhary ◽  
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Quality Parameters ◽  
Drinking Water Quality ◽  
Water Quality Parameters

scholarly journals Mapping drinking water and quality of life aspects in urban settings: an application of the urban exposome

2018 ◽  
Author(s):  
Xanthi D. Andrianou ◽  
Chava van der Lek ◽  
Pantelis Charisiadis ◽  
Solomon Ioannou ◽  
Kalliopi N. Fotopoulou ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Water Quality ◽  
Drinking Water ◽  
Health Status ◽  
Quality Parameters ◽  
Drinking Water Quality ◽  
Water Quality Parameters ◽  
Proof Of Concept ◽  
Concept Study

AbstractCities face rapid changes leading to increasing inequalities and emerging public health issues that require cost-effective interventions. The urban exposome framework constitutes a novel approach in tackling city-wide challenges, such as those of drinking water quality and quality of life. In this proof-of-concept study, we presented part of the urban exposome of Limassol (Cyprus) focusing on chemical and microbial drinking water quality parameters and their association with urban neighborhood indicators. A perceptions study and an urban population study was conducted. We mapped the water quality parameters and participants’ opinions on city life (i.e. neighborhood life, health care and green space access) using quarters (small administrative areas) as the reference unit of the city. In an exploratory environment-wide association study analysis, we used all variables (questionnaire responses and water quality metrics) to describe correlations between them accounting, also, for self-reported health status. Overall, urban drinking-water quality using conventional indicators of chemical (disinfection byproducts-trihalomethanes) and microbial (coliforms, E. coli, and Enterococci) quality did not raise particular concerns. The general health and chronic health status of the urban participants were significantly (all >FDR corrected p value of 0.1) associated with different health conditions such as hypertension and asthma, or having financial issues in access to dental care. Additionally, correlations between trihalomethanes and participant characteristics (e.g. household cleaning, drinking water habits) were documented. This proof-of-concept study showed the potential of using integrative approaches to develop urban exposomic profiles and identifying within-city differentiated environmental and health indicators. The characterization of the urban exposome of Limassol will be expanded via the inclusion of biomonitoring tools and untargeted metabolomics platforms.

scholarly journals Assessment of groundwater quality and water table mapping of Bhaktapur Municipality

2018 ◽  
Vol 5 ◽  
pp. 43-50
Author(s):  
Razim Ganesh ◽  
Rebika Koju ◽  
Raja Ram Prajapati
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Groundwater Quality ◽  
Water Table ◽  
Agricultural Runoff ◽  
Quality Parameters ◽  
Drinking Water Quality ◽  
Water Quality Parameters ◽  
Total Hardness ◽  
Kathmandu Valley

Water is necessary for all life on earth. Every living creature on the Earth depends on water for their survival; however the supply of water on Earth is limited. Groundwater, the important source of water supply to many people around the world, is accessed through stone spouts, springs, dug wells and infiltration galleries in and around Kathmandu Valley since ancient time. The extraction of groundwater in Kathmandu Valley is increasing day by day due to increase in population, haphazard urbanization and unplanned industrialization. Drinking water quality and quantity is one of the major issues which need to be taken seriously, since clean water and sanitation are human rights and essential to life. The present study aims to prepare water table map and groundwater quality map from unconfined aquifer of Bhaktapur Municipality. Geographic Information System (GIS) based groundwater table mapping for 472 samples were used. Inverse Distance Weighted (IDW) method was used for 86 samples for spatial interpolation of chemical indices. Surface maps are prepared for water quality parameters (pH, turbidity, conductivity, TDS, total hardness, iron, ammonia, nitrate, chloride, alkalinity and E-coli) in the GIS Software by interpolation between the available data. Water table elevation map shows that groundwater levels are shallow at wells located close to agricultural field. From the water quality mapping of the Bhaktapur Municipality, it is seen that the most of the water quality parameters are within the maximum permissible limit set by WHO and NDWQS. It is noted that quality of ground water in the study area exceeds Nepal drinking water quality standards on the basis of measured values of chloride, ammonia and nitrate in majority of wells. High concentration of chloride, ammonia and nitrate were found in most of water samples from the central part and in around the periphery of the municipality boundary, which may be due to infiltration of agricultural runoff and leaching of sewage pollutants.

scholarly journals Cloud based analysis of Drinking Water quality parameters

2021 ◽  
Vol 1979 (1) ◽  
pp. 012053
Author(s):  
J Bharath Singh ◽  
S Vijayalakshmi ◽  
S Sushmitha
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Quality Parameters ◽  
Drinking Water Quality ◽  
Water Quality Parameters
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