scholarly journals Socio-economic effect on socially-deprived communities of developing drinking water quality problems in arid and semi-arid area of central Rajasthan

2014 ◽  
Vol 364 ◽  
pp. 229-235
Author(s):  
I. Husain ◽  
J. Husain ◽  
M. Arif
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Groundwater Quality ◽  
Economic Effect ◽  
Arid Environment ◽  
Quality Data ◽  
Toxicological Studies ◽  
Ccme Wqi ◽  
Semi Arid

Abstract. Rajasthan is well known for its Great Thar desert. Central Rajasthan has an arid to semi-arid environment. The area faces either scarcity of water or poor quality of drinking water. In some areas water is transported 2 km or more, which uses time, energy and money. Rich people have their own sources, which is restricted for use by others. Such conditions are affecting socially-deprived communities, both socially and economically. Groundwater is a major source of drinking water due to the unavailability of surface water. There is a lack of groundwater quality knowledge in the community and the data available is hard to understand by consumers. The CCME Water Quality Index is a tool to simplify the water quality report by rating the water on quality standards. It provides meaningful summaries of overall water quality and trends, which is accessible to non-technical lay people. In the present study the objective is to examine the groundwater quality of six districts (Ajmer, Bhilwara, Pali, Rajasamand, Nagaur and Jodhpur), centrally located in Rajasthan, with arid and semi-arid conditions. CCME WQI is also evaluated to produce quality data in a form to be understood by the community. A total of 4369 groundwater sources in 1680 villages from six districts (76 546 km2) were collected and examined. Results are outlined in the Bureau of Indian Standards (BIS: 10500, 2012) and 2952 sources are unsafe for drinking. According to CCME WQI groundwater of 93 villages is poor, 343 villages are marginal, and 369 villages are fair in quality. Toxicological studies of unsafe drinking water and their remedial measures are also discussed. A tentative correlation between prevailing water-borne diseases and quality parameter has also been shown

scholarly journals Domestic Groundwater Quality in the Northern Governorates of the West Bank, Palestine

2020 ◽  
Vol 2020 ◽  
pp. 1-6
Author(s):  
Banan Hejaz ◽  
Issam A. Al-Khatib ◽  
Nidal Mahmoud
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Groundwater Quality ◽  
West Bank ◽  
Pollution Prevention ◽  
Drinking Water Quality ◽  
World Health ◽  
Quality Data ◽  
The West ◽  
Water Quality Data

Like several parts in the Middle East, the West Bank is in a significant water scarcity status. Palestinians use groundwater as the main water source, supplying more than 90% of the consumed water in the West Bank. The aim of this study is to enhance the knowledge on drinking water quality in the West Bank. Groundwater quality data was obtained from the Palestinian Water Authority, including the years 2015 and 2016, from the Northern six districts of the West Bank. The water quality data were analyzed and matched with the World Health Organization (WHO) guidelines and the Palestinian standards for drinking water quality. The findings of this study revealed that groundwater in the north of the West Bank comply with several drinking water requirements including total hardness, pH, and sodium and chloride content. Conversely, 18% of the samples exceed the limits for nitrate concentration. The fecal Coliforms and total Coliforms results show that 98.7% of the samples give no risk, but 1.3% of the samples give low risk, and no sample gives intermediate-to-high risks. The microbial and chemical pollution of groundwater is postulated to inadequate wastewater management, high use of fertilizers, and uncontrolled disposal of animal manure. Therefore, it is crucial to disinfect drinking water at the source of production before supply as an immediate action, followed by implementing pollution prevention measures.

scholarly journals Appraisal of Drinking Water Quality in Lahore Residence, Pakistan

2017 ◽  
Vol 60 (1) ◽  
pp. 34-41
Author(s):  
Khalid Mahmood ◽  
Muhammad Asim
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Underground Water ◽  
Poor Quality ◽  
Drinking Water Quality ◽  
Quality Data ◽  
Southeastern Part ◽  
Water Quality Data ◽  
Quality Of Water

A comprehensive study for the spatial distribution of drinking water quality had been conductedfor residential area of Lahore, Pakistan. The study had made use of the geographic information system(GIS) for geographical representation and spatial analysis of groundwater quality. Physicochemicalparameters including electric conductivity, pH, TDS, Cl, Mg, Ca, alkalinity and bicarbonates from 73 ofthe water samples had been included in the analysis. Water quality data had been geo-referenced followedby its interpolation using inverse distance weighted (IDW) for each of the parameters. Very high alkalinityand bicarbonates values were observed in most parts of the area. For the comprehensive view, water qualityindex map had been prepared using weighted overlay analysis (WOA). The water quality index map wasclassified into five zones of excellent, good, poor, very poor and unfit for drinking as per WHO standardsof drinking water. 21% region had excellent quality of the underground water and 50% was found goodfor drinking. Poor quality of water was found in southeastern part, covering 27% of the study area. Only2% of the area was found under the very poor and unfit water quality conditions for drinking.

scholarly journals Assessing Strontium and Vulnerability to Strontium in Private Drinking Water Systems in Virginia

Water ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 1053
Author(s):  
Veronica Scott ◽  
Luke Juran ◽  
Erin J. Ling ◽  
Brian Benham ◽  
Asa Spiller
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Social Vulnerability ◽  
Agricultural Land ◽  
Quality Data ◽  
Physical Factors ◽  
Water Quality Data ◽  
Quality Program ◽  
Household Water

A total of 1.7 million Virginians rely on private drinking water (PDW) systems and 1.3 million of those people do not know their water quality. Because most Virginians who use PDW do not know the quality of that water and since strontium poses a public health risk, this study investigates sources of strontium in PDW in Virginia and identifies the areas and populations most vulnerable. Physical factors such as rock type, rock age, and fertilizer use have been linked to elevated strontium concentrations in drinking water. Social factors such as poverty, poor diet, and adolescence also increase social vulnerability to health impacts of strontium. Using water quality data from the Virginia Household Water Quality Program (VAHWQP) and statistical and spatial analyses, physical vulnerability was found to be highest in the Ridge and Valley province of Virginia where agricultural land use and geologic formations with high strontium concentrations (e.g., limestone, dolomite, sandstone, shale) are the dominant aquifer rocks. In terms of social vulnerability, households with high levels of strontium are more likely than the average VAHWQP participant to live in a food desert. This study provides information to help 1.7 million residents of Virginia, as well as populations in neighboring states, understand their risk of exposure to strontium in PDW.

scholarly journals Evaluation of Groundwater Quality for Drinking Purpose using Different Water Quality Indices in Parts of Gautam Budh Nagar District, India

2020 ◽  
Vol 32 (5) ◽  
pp. 1128-1138
Author(s):  
Meenu Agarwal ◽  
Meenakshi Singh ◽  
Jakir Hussain
Keyword(s):  
Water Quality ◽  
Groundwater Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Pure Water ◽  
Groundwater Samples ◽  
Canadian Council ◽  
Ccme Wqi ◽  
Drinking Purpose

Water Quality Index (WQI) is a mathematical value for quality of water, which includes the concentration of a number of constituents present in it. Chemical and biological measures of water quality are used to represent water quality index. Measured value of the selected parameters, ideal concentration of that parameter in pure water and standard value given by different quality control organizations are used to determine this number. In the present study, three indexing methods; Weighted Arithmetic Water Quality Index (WAWQI), Groundwater Quality Index (GWQI) and Canadian Council of Ministers of the Environment Water Quality Index (CCME WQI) were used to calculate water quality index of groundwater. A hydrochemical analysis of 22 groundwater samples was conducted to evaluate the quality of groundwater for drinking purpose. Ten hydrochemical parameters were selected for computing WQIs of groundwater samples and BIS standards were used for standardization. Analytical results show that 100 % of samples have magnesium and total hardness above the acceptable limit of BIS (10500, 2012). The mean concentration of nitrate was found 196.96 ± 9.3.18 mg/L. Spatial distribution of various parameters shows that south-east part of study area has contaminated groundwater. The results of water quality index shows that drinking water quality of 82 % (WAWQI), 95 % (GWQI) and 77 % (CCME WQI) of groundwater samples were poor to unsuitable type. Water quality index map also reveals that groundwater of village Badhpura, Dhoom Manikpur, Dairy Maccha, Khera Dharampura, Bisrakh road, Duryai and Dujana of district Gautam Budh Nagar of India, was not fit for human consumption.

The Evaluation Groundwater Quality in Daqing Oilfield by Using Logging Data

2014 ◽  
Vol 955-959 ◽  
pp. 3088-3092
Author(s):  
Yu Bo Yang ◽  
Zhong Jun Deng
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Groundwater Quality ◽  
The South ◽  
High Quality ◽  
Well Location ◽  
Sand Body ◽  
Resistivity Logging ◽  
Better Than

In order to research the groundwater quality of the Taikang Formation in Tertiary in west of Daqing Oilfield, resistivity logging data of 140 wells in the study area were used to analyze the relations between the groundwater quality and sedimentary sand body and buried depth. The south area of Hongweixing well area and the east of Xishuiyuan well area, including Ranghulu, Qianjincun, Dulitun and Nanshuiyuan well area are favorable for high quality groundwater. The shallower buried water quality is better than the deeper buried water quality of the Taikang Formation in Tertiary. The research provides the evidences to evaluate the groundwater quality in west Daqing Oilfield and determine specific well location, improving the efficiency of exploring the underground drinking water.

scholarly journals Association of Physicochemical Characteristics, Aggregate Indices, Major Ions, and Trace Elements in Developing Groundwater Quality Index (GWQI) in Agricultural Area

2021 ◽  
Vol 18 (9) ◽  
pp. 4562
Author(s):  
Hazimah Haspi Harun ◽  
Mohamad Roslan Mohamad Kasim ◽  
Siti Nurhidayu ◽  
Zulfa Hanan Ash’aari ◽  
Faradiella Mohd Kusin ◽  
...  
Keyword(s):  
Water Quality ◽  
Trace Elements ◽  
Groundwater Quality ◽  
Quality Index ◽  
Major Ions ◽  
Physicochemical Characteristics ◽  
Quality Data ◽  
Water Quality Data ◽  
Groundwater Quality Index

The aim of this study was to propose a groundwater quality index (GWQI) that presents water quality data as a single number and represents the water quality level. The development of the GWQI in agricultural areas is vital as the groundwater considered as an alternative water source for domestic purposes. The insufficiency of the groundwater quality standard in Malaysia revealed the importance of the GWQI development in determining the quality of groundwater. Groundwater samples were collected from thirteen groundwater wells in the Northern Kuala Langat and the Southern Kuala Langat regions from February 2018 to January 2019. Thirty-four parameters that embodied physicochemical characteristics, aggregate indicator, major ions, and trace elements were considered in the development of the GWQI. Multivariate analysis has been used to finalize the important parameters by using principal component analysis (PCA). Notably, seven parameters—electrical conductivity, chemical oxygen demand (COD), magnesium, calcium, potassium, sodium, and chloride were chosen to evaluate the quality of groundwater. The GWQI was then verified by comparing the groundwater quality in Kota Bharu, Kelantan. A sensitivity analysis was performed on this index to verify its reliability. The sensitivity GWQI has been analyzed and showed high sensitivity to any changes of the pollutant parameters. The development of GWQI should be beneficial to the public, practitioners, and industries. From another angle, this index can help to detect any form of pollution which ultimately could be minimized by controlling the sources of pollutants.

scholarly journals Monitoring drinking water quality in nationally representative household surveys: cross-sectional analysis of 20 Multiple Indicator Cluster Surveys 2014-2019

2020 ◽  
Author(s):  
Robert Edward Shenton Bain ◽  
Richard Johnston ◽  
Shane Khan ◽  
Attila Hancioglu ◽  
Tom Slaymaker
Keyword(s):  
Risk Factors ◽  
Water Quality ◽  
Drinking Water ◽  
Quality Data ◽  
Household Surveys ◽  
Water Services ◽  
Water Quality Data ◽  
E Coli ◽  
Multiple Indicator

Background. The Sustainable Development Goals set an ambitious new benchmark for safely managed drinking water services (SMDW), but many countries lack data on the availability and quality of drinking water. Objectives. To quantify the availability and microbiological quality of drinking water, monitor SMDW and examine risk factors for E. coli contamination in 20 low-and middle-income countries. Methods. A new water quality module for household surveys was implemented in Multiple Indicator Cluster Surveys. Teams used portable equipment to measure E. coli at the point of collection (PoC, n=48323) and at the point of use (PoU, n=51345) and asked respondents about the availability and location of drinking water services. E. coli levels were classified into risk categories and SMDW was calculated at the household- and domain-levels. Multilevel modified Poisson regression was used to explore pre-selected risk factors for contamination. Results. E. coli contamination was commonly detected at PoC (range: 16- 90%) and was even more likely at PoU (range 20-97%). Coverage of SMDW was 56 % points lower than improved drinking water and water quality was the limiting factor for SMDW in 14 out of 20 countries. Detection of E. coli at PoC was associated with use of improved water sources (RR = 0.63 [0.54-0.75]) and accessibility on premises (RR = 0.81 [0.70-0.95]) but not with availability (RR = 0.94 [0.84-1.06]). Households in the richest quintile (RR = 0.67 [0.50-0.90]) and in communities with high (>75%) improved sanitation coverage (RR = 0.95 [0.92-0.99]) were less likely to use contaminated water at PoU whereas animal ownership (RR = 1.08 [1.03-1.14]) and rural residence (RR = 1.11 [1.04-1.18]) increased risk of contamination. Discussion. Water quality data can be reliably collected in household surveys and can be used to assess inequalities in service levels, to track the SDG indicator of safely managed drinking water services, and to examine risk factors for contamination. There is an urgent need to implement scalable and sustainable interventions to reduce exposure to faecal contamination through drinking water.

Evaluation of source water quality for selection of drinking water purification system

2008 ◽  
Vol 8 (3) ◽  
pp. 271-278 ◽  
Author(s):  
N. Hayashi ◽  
H. Yokota ◽  
H. Furumai ◽  
M. Fujiwara
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Water Purification ◽  
Principal Component ◽  
Water Utilities ◽  
Quality Data ◽  
Source Water ◽  
Water Quality Data ◽  
Purification System

When renewing water purification facilities, it is important to select a suitable purification system that can accommodate the quality of the respective source water. The Japan Water Research Center has been collecting a large amount of water quality data from drinking-water utilities across Japan, categorising and analysing these data, and evaluating the suitability of water purification processes. Multivariate analyses such as hierarchical cluster analysis and principal component analysis were performed to investigate the relationships between the quality of source water used for water supply and various factors that affect the purification process. Based on these results, water sources throughout Japan were clearly categorised into four groups, and suitable water purification systems were identified for the different water quality groups. The results can serve as an important reference for water utilities during future facility renewal projects.

scholarly journals Assessment of groundwater quality in Khulna city of Bangladesh in terms of water quality index for drinking purpose

2020 ◽  
Vol 10 (11) ◽  
Author(s):  
Asif Mahmud ◽  
Shraboni Sikder ◽  
Jagadish Chandra Joardar
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Groundwater Quality ◽  
Water Samples ◽  
Water Quality Index ◽  
Quality Index ◽  
Total Hardness ◽  
Tube Wells ◽  
Drinking Purpose

Abstract Valuation of water quality index (WQI) is one of the simplest, easily understandable, and efficacious techniques to evaluate the quality and suitability of water for drinking as well as other purposes. This research was aimed to investigate the drinking water quality of tube wells from different areas in Khulna City, Bangladesh, by developing the WQI. Water samples from 59 tube wells were collected from different locations during the pre-monsoon time. pH, electric conductivity (EC), dissolve oxygen (DO), total dissolved solid (TDS), chloride (Cl−), nitrate (NO3−), and total hardness of the collected water samples were analyzed for the calculation of WQI. The mean value for pH, EC, DO, TDS, Cl−1, NO3−, and total hardness was 7.30, 1650 μS/cm, 1.60 mg/l, 1188.7 mg/l, 414.6 mg/l, 0.029 mg/l, and 52.03 mg/l, respectively. The calculated WQI values for individual places were distributed spatially through mapping by using ArcGIS software. Based on the WQI values, the drinking water was categorized into excellent, good, poor, very poor, and unfit for drinking purposes. The calculated WQI values ranged from 40.11 to 454.37 with an average value of 108.94. Among all the groundwater samples, 11.86% were excellent, 54.24% were good, 23.73% were poor, 1.69% were very poor, and 8.47% were unfit for drinking purpose based on WQI. The results showed that the groundwater quality of most of the studied areas of Khulna city could be considered safe and suitable for drinking barring the elevated EC and chloride content in some areas. Since Khulna city is situated in the southwestern part of Bangladesh and gradually approaches toward the base level of the Bay of Bengal which might be the source of salt concentration in the groundwater of Khulna city, Bangladesh.

Modification and Application of the Canadian Council of Ministers of the Environment Water Quality Index (CCME WQI) for the Communication of Drinking Water Quality Data in Newfoundland and Labrador

2004 ◽  
Vol 39 (3) ◽  
pp. 285-293 ◽  
Author(s):  
Amir Ali Khan ◽  
Renée Paterson ◽  
Haseen Khan
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Newfoundland And Labrador ◽  
Drinking Water Quality ◽  
Quality Data ◽  
Water Quality Data ◽  
Canadian Council ◽  
Local Expert ◽  
Ccme Wqi ◽  
Council Of Ministers

Abstract In Newfoundland and Labrador (NL), drinking water quality monitoring is conducted by the provincial government on all public water supply systems and results are communicated to communities on a quarterly basis. This paper describes the application of the Canadian Council of Ministers of the Environment Water Quality Index (CCME WQI) as a communications tool for reporting the drinking water quality results. The CCME WQI simplifies the communication of results while integrating local expert opinion, without challenging the integrity of the data. The NL Department of Environment and Conservation successfully tested the use of the CCME WQI on selected drinking water quality data sets, and developed a phased approach for its implementation as a practical means of presenting available physical, chemical, organic and microbiological results to communities. The CCME WQI index categorization schema was modified by adding a new ranking category to incorporate local expert opinion. This paper describes the development of the phased approach for calculating water quality indices, the testing methodology used, the rationale for modifying the existing CCME WQI index categorization schema, and the implementation of an automated CCME WQI calculator in the provincial drinking water quality database. The paper also discusses the challenges encountered in using the CCME WQI especially with respect to incorporation of contaminants, microbiological and trihalomethanes data. The benefits and downfalls of this application are also discussed.

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