Radon and heavy metal risk assessments of drinking water sources

2018 ◽  
Vol 130 ◽  
pp. 194-199
Author(s):  
Asli Kurnaz ◽  
Miraç Aydin
Keyword(s):  
Heavy Metal ◽  
Drinking Water ◽  
Water Sources ◽  
Risk Assessments ◽  
Drinking Water Sources

scholarly journals Heavy metal levels in drinking water sources of Chingola District, Zambia

2020 ◽  
Author(s):  
Francis Hamwiinga ◽  
Chisala D. Meki ◽  
Patricia Mubita ◽  
Hikabasa Halwiindi
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Drinking Water ◽  
Ground Water ◽  
Water Samples ◽  
Tap Water ◽  
Water Sources ◽  
Wet Season ◽  
Drinking Water Sources ◽  
Metal Levels

Abstract Background: One of the factors impeding access to safe water is water pollution. Of particular concern is heavy metal contamination of water bodies. This study was aimed at determining the levels of heavy metals in drinking water sources of Chingola District of Zambia. Methods: A cross sectional study was employed. A total of 60 water samples were collected. Thirsty (30) samples were collected in the dry season in the month of October 2016 and another 30 in the wet season in the months of February and March, 2017. For each season 10 water samples were collected from each of the three water sources. i.e. Tap water, Urban ground water sources and Rural ground water sources. Heavy metal analysis was done using Atomic Absorption Spectrophotometer (AAS).Results: This study revealed that the concentrations of Iron, Manganese, Lead, Nickel and Arsenic were beyond maximum permissible levels in various water sources. Combined averages for both dry and wet seasons were as follows: Iron: 2.3, Copper: 0.63, Cobalt: 0.02, Manganese: 0.36, Lead: 0.04, Zinc:3.2, Nickel: 0.03, Arsenic: 0.05. Chromium and Cadmium were below detection limit in all water samples. The median concentrations of iron, arsenic, copper, manganese in drinking water from the Tap, rural and urban ground water sources were different, and this difference was statistically significant (p<0.05). The median concentrations of arsenic, nickel, manganese and cobalt were different between dry and wet season, and this difference was statistically significant (p<0.05).Conclusions: Sources of heavy metals in water seems to be both natural and from human activities. The concentration of heavy metals in different water sources in this study was found to be above the recommended levels. This calls for improvement in water monitoring to protect the health of the public. Therefore, there is need for continuous monitoring of heavy metals in drinking water sources by regulatory authorities.

scholarly journals Evaluation of Ground Drinking Water Sources of Haridwar Using Heavy Metal Pollution Index

2020 ◽  
Vol 32 (11) ◽  
pp. 2873-2879
Author(s):  
A. Gupta ◽  
R. Singh ◽  
P. Singh ◽  
R. Dobhal
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Drinking Water ◽  
Metal Pollution ◽  
Pollution Index ◽  
Water Sources ◽  
Heavy Metal Pollution Index ◽  
Metal Pollution Index ◽  
Drinking Water Sources ◽  
Standard Limit

Advance statistical technique as heavy metal pollution index (HPI) was used for assessment of suitability of 17 ground water sources of district Haridwar for drinking purpose. Water samples were analyzed for Cu, Mn, Pb, Zn, Cr and Fe as water quality parameters using atomic absorption spectroscopy (AAS) as per BIS and APHA standards. Results showed that the concentration of all the analyzed heavy metals were found in all the selected ground drinking water sources below their standard limit during the study, except one i.e. only lead was found (0.011 mg/L) more than its standard limit (0.01 mg/L) at H13 during PRM 2014. Suitability of studied drinking water sources have also been evaluated on the rating scale along with determination of seasonal and spatial variations. Results may attribute that HPI of the water sources were generally below its critical limit and studied water sources were safe for human consumption with respect to analyzed heavy metals. The results of the present research work provide significant information for water resources management, which helps to better meet the future challenges.

Hygiene Aspects of Drinking Water Sources Used in Primary Milk Production

2016 ◽  
Vol 1 (6) ◽  
pp. 311-317
Author(s):  
Nada Sasakova ◽  
Gabriela Gregova ◽  
Jan Venglovsky ◽  
Ingrid Papajova ◽  
Bozena Nowakowicz-Debek ◽  
...  
Keyword(s):  
Drinking Water ◽  
Milk Production ◽  
Water Sources ◽  
Drinking Water Sources

A facile technique for automatically counting odor-producing algae (Pseudanabaena sp.) in drinking water sources

2021 ◽  
Author(s):  
Sandrine Boivin ◽  
Eri Hasegawa ◽  
Dabide Yamaguchi ◽  
Takahiro Fujioka
Keyword(s):  
Drinking Water ◽  
Water Sources ◽  
Water Utilities ◽  
Drinking Water Sources

The frequent analysis of the 2-methylisoborneol (2-MIB)-generating algae, Pseudanabaena sp., for predicting odor occurrence in drinking water sources is a major challenge for many drinking water utilities. This study aims...

scholarly journals Households access to improved drinking water sources and toilet facilities in Ethiopia: a multilevel analysis based on 2016 Ethiopian Demographic and Health Survey

BMJ Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. e042071
Author(s):  
Zewudu Andualem ◽  
Henok Dagne ◽  
Zelalem Nigussie Azene ◽  
Asefa Adimasu Taddese ◽  
Baye Dagnew ◽  
...  
Keyword(s):  
Drinking Water ◽  
Health Survey ◽  
Rural Households ◽  
Wealth Index ◽  
Water Sources ◽  
Demographic And Health Survey ◽  
P Value ◽  
Cluster Sampling ◽  
Drinking Water Source ◽  
Drinking Water Sources

ObjectiveThis study aimed to assess households access to improved drinking water sources and sanitation facilities and their associated factors in Ethiopia.DesignCross-sectional study.SettingEthiopia.ParticipantsHousehold heads.Primary outcomesAccess to improved drinking water sources and toilet facilities.MethodsWe conducted an in-depth secondary data analysis of 2016 Ethiopian Demographic and Health Survey. Data from a total of 16 650 households and 645 clusters were included in the analysis. The households were selected using a stratified two-stage cluster sampling technique. Multilevel binary logistic regression analyses were performed to identify factors associated with access to an improved drinking water source and toilet facilities. Adjusted OR with a 95% CI was reported with p value <0.05 was used to declare a significant association between the covariates and the outcome variables.ResultsThe proportions of households’ access to improved sources of drinking water and toilet facilities were 69.94% (95% CI: 69.23% to 70.63%) and 25.36% (95% CI: 24.69% to 26.03%), respectively. Households headed by women and households with a better wealth index were positively associated with access to improved drinking water sources. Whereas rural households, ≥30 min round trip to obtain drinking water and region were factors negatively associated with households access to improved drinking water sources. A higher probability of having access to improved toilet facilities: households with heads who had attained higher education, households having better access to improved sources of drinking water and households with better wealth index. While the following households were less likely to have access to improved toilet facilities: households with heads were widowed, households with four to six members, rural households and region.ConclusionThe study found that the proportions of households’ access to improved drinking water sources and toilet facilities in Ethiopia were relatively low, which demands the need to tailor strategies to increase the coverage of access to improved drinking water sources and toilet facilities.

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