scholarly journals Corrigendum: Water Supply 20 (1), 28–45: Water quality monitoring: from conventional to emerging technologies, Umair Ahmed et al.

2020 ◽  
Vol 20 (4) ◽  
pp. 1580-1580
Author(s):  
Umair Ahmed ◽  
Rafia Mumtaz ◽  
Hirra Anwar ◽  
Sadaf Mumtaz ◽  
Ali Mustafa Qamar
Author(s):  
Yu.A. Novikova ◽  
I.O. Myasnikov ◽  
A.A. Kovshov ◽  
N.A. Tikhonova ◽  
N.S. Bashketova

Summary. Introduction: Drinking water is one of the most important environmental factors sustaining life and determining human health. The goal of the Russian Federal Clean Water Project is to improve drinking water quality through upgrading of water treatment and supply systems using advanced technologies, including those developed by the military-industrial complex. The most informative and reliable sources of information for assessing drinking water quality are the results of systematic laboratory testing obtained within the framework of socio-hygienic monitoring (SGM) and production control carried out by water supply organizations. The objective of our study was to formulate approaches to organizing quality monitoring programs for centralized cold water supply systems. Materials and methods: We reviewed programs and results of drinking water quality laboratory tests performed by Rospotrebnadzor bodies and institutions within the framework of SGM in 2017–2018. Results: We established that drinking water quality monitoring in the constituent entities of the Russian Federation differs significantly in the number of monitoring points (566 in the Krasnoyarsk Krai vs 10 in Sevastopol) and measured indicators, especially sanitary and chemical ones (53 inorganic and organic substances in the Kemerovo Region vs one indicator in the Amur Region). Discussion: For a more complete and objective assessment of drinking water quality in centralized cold water supply systems, monitoring points should be organized at all stages of water supply with account for the coverage of the maximum number of people supplied with water from a particular network. Thus, the number of points in the distribution network should depend, inter alia, on the size of population served. In urban settlements with up to 10,000 inhabitants, for example, at least 4 points should be organized while in the cities with more than 3,000,000 inhabitants at least 80 points are necessary. We developed minimum mandatory lists of indicators and approaches to selecting priority indices to be monitored at all stages of drinking water supply.


1998 ◽  
Vol 38 (6) ◽  
pp. 201-208 ◽  
Author(s):  
D. J. Smith ◽  
S. Crymble

Increasing demand for limited water resources within the Midlands of England resulted in a lower quality river being considered for water supply in an area of high urban and rural population. A comprehensive water quality monitoring programme was undertaken on the river to compare its quality with other sources used for water supply. Concurrent with the monitoring programme a series of laboratory scale trials began to assess how the river water could be treated, and the costs involved. A major consideration was the need to provide treated water by the summer of 1997, which precluded a complete new water treatment process from being designed. The paper outlines the results from the monitoring programme, including some of the problem parameters such as pesticides at over 10 ug/l, and how some of the sources of these pollutants were identified. It also describes the treatment trials and explains how a water treatment process was developed which utilises disused gravel workings to provide bankside storage and a combination of powdered and granular activated carbon to remove organic pollutants.


2014 ◽  
Vol 44 (12) ◽  
pp. 1370-1421 ◽  
Author(s):  
Muinul H. Banna ◽  
Syed Imran ◽  
Alex Francisque ◽  
Homayoun Najjaran ◽  
Rehan Sadiq ◽  
...  

2014 ◽  
Vol 14 (6) ◽  
pp. 1076-1086 ◽  
Author(s):  
M. Al-Zahrani ◽  
K. Moied

Despite good quality assurance and conformance to the standards at the treatment plants, water quality could vary considerably within the distribution network. As water flows through the pipe network, its quality undergoes various transformations due to many factors such as the properties of the finished water, pipe materials, water temperature, water age and low level of disinfectant residuals. Sampling and monitoring of water quality is, therefore, important to ensure that clean and safe water is transported to the consumers. In this paper, a model based on genetic algorithms and fuzzy logic was developed to identify locations of water quality monitoring stations in a water distribution system. While identifying the monitoring locations, multiple sources of water supply, water age and constituent concentration were considered. The developed model was applied on a hypothetical network and results indicate that monitoring stations are proposed at locations with maximum coverage of water supply within the network and maximum violation for average water age and constituent concentrations.


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