Antibiotic contamination in a typical water-rich city in southeast China: a concern for drinking water resource safety

2019 ◽  
Vol 55 (3) ◽  
pp. 193-209
Author(s):  
Xinyan Guo ◽  
Lv Xiaojun ◽  
Aiguo Zhang ◽  
Zheng Yan ◽  
Siyi Chen ◽  
...  
Keyword(s):  
Drinking Water ◽  
Water Resource ◽  
Southeast China ◽  
Drinking Water Resource

scholarly journals Genetic Microbial Source Tracking Support QMRA Modeling for a Riverine Wetland Drinking Water Resource

2021 ◽  
Vol 12 ◽  
Author(s):  
Julia Derx ◽  
Katalin Demeter ◽  
Rita Linke ◽  
Sílvia Cervero-Aragó ◽  
Gerhard Lindner ◽  
...  
Keyword(s):  
Drinking Water ◽  
Water Resource ◽  
Microbial Source Tracking ◽  
Source Tracking ◽  
Drinking Water Resource ◽  
Riverine Wetland

Graphical Abstract

Assessment on phytoplankton composition and heavy metal pollution in a drinking water resource: Lake Terkos (Istanbul, Turkey)

2021 ◽  
Vol 225 ◽  
pp. 265-274
Author(s):  
Nese Yilmaz ◽  
Ibrahim Ilker Ozyigit ◽  
Hacer Handan Demir ◽  
Ibrahim Ertugrul Yalcin
Keyword(s):  
Heavy Metal ◽  
Drinking Water ◽  
Water Resource ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Phytoplankton Composition ◽  
Drinking Water Resource

Assessing fluoride and nitrate contaminants in drinking water resource and their health risk assessment in a semiarid region of southwest Iran

2019 ◽  
Vol 149 ◽  
pp. 43-51 ◽  
Author(s):  
Abooalfazl Azhdarpoor ◽  
Majid Radfard ◽  
Manijeh Pakdel ◽  
Abbas Abbasnia ◽  
Ahmad Badeenezhad ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Drinking Water ◽  
Health Risk ◽  
Water Resource ◽  
Health Risk Assessment ◽  
Semiarid Region ◽  
Drinking Water Resource ◽  
Southwest Iran

Towards a new drinking water resource classification approach at a river basin scale

2012 ◽  
Vol 12 (6) ◽  
pp. 727-736
Author(s):  
S. Piel ◽  
E. Baurès ◽  
S. Masclet ◽  
J. Perot ◽  
O. Thomas
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
River Basin ◽  
Water Resource ◽  
Quality Data ◽  
Uv Index ◽  
River Basin Scale ◽  
Drinking Water Resource ◽  
Basin Scale ◽  
Monitoring Stations

This study proposes a new approach for improving resource quality management, monitoring and treatment plant management, whatever the environmental and climatic stressors. First trend analysis of water quality at a river basin scale, based on historical water quality data and multivariate exploitation (principal component analysis, PCA), led to a classification of the monitoring stations with regard to the main pressures (land use, urbanization and hydroclimatic impacts). This method was applied to the Vilaine's watershed, the largest river basin in Brittany, western France, and one which is under agricultural and urban pressure. A complementary research using a UV index was proposed for the evaluation of spatial and temporal variations of water quality. This approach may be considered as a useful and relevant tool to quickly assess the variation of water quality and the main explanatory factors. It also points out monitoring stations under specific stressors considered as outliers regarding UV parameters. Finally, PCA and UV index give complementary results. PCA allows factors influencing drinking water resource to be highlighted and the UV index allows global water quality under specific times and impacts to be reflected.

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