Monitoring of water transfer from Katse Dam into the Upper Vaal river system: water utility’s perspective

2003 ◽  
Vol 48 (10) ◽  
pp. 97-102 ◽  
Author(s):  
T. Lepono ◽  
H.H. Du Preez ◽  
M. Thokoa
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
River System ◽  
Water Quality Monitoring ◽  
Water Transfer ◽  
Monitoring Programme ◽  
Quality Monitoring ◽  
Transfer Scheme ◽  
Chemical Monitoring ◽  
Before And After

Water quality is of prime importance to Rand Water’s core business of ensuring a reliable supply of good quality drinking water to more than 10 million people. Rand Water has, therefore, implemented a water quality monitoring programme of the source water as well as the drinking water produced. The establishment of the Lesotho Highlands Water Transfer scheme necessitated the expansion of the monitoring programme. In 1996, Rand Water and Lesotho Highlands Development Authority (LHDA) signed an agreement to jointly develop an extensive water quality monitoring programme for the Lesotho Highlands Water Project (LHWP). Prior to this agreement, monitoring was mainly undertaken by consultants on behalf of LHDA in the main feeder rivers within the Katse Dam catchment (donor system). On the recipient system (Ash/Liebenbergsvlei), extensive physical and chemical monitoring was undertaken by Rand Water and Department of Water Affairs and Forestry (DWAF). Biological monitoring was however only carried out superficially prior to the release of water. Information gained from carrying out biological and chemical assessments clearly indicates that the water from LHWP has negatively impacted on the biological communities in the recipient system. The importance of detailed before and after biological and physio-chemical monitoring of both donor and recipient systems is emphasised.

Methodological Approaches to Organization of Drinking Water Quality Monitoring Programs

2020 ◽  
pp. 4-8
Author(s):  
Yu.A. Novikova ◽  
I.O. Myasnikov ◽  
A.A. Kovshov ◽  
N.A. Tikhonova ◽  
N.S. Bashketova
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Water Supply ◽  
Cold Water ◽  
Water Quality Monitoring ◽  
Drinking Water Quality ◽  
Quality Monitoring ◽  
Water Supply Systems ◽  
Monitoring Programs ◽  
Supply Systems

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.

scholarly journals Technical note: An anomaly in pH data in South Africa’s national water quality monitoring database – implications for future use

Water SA ◽  
2018 ◽  
Vol 44 (4 October) ◽  
Author(s):  
Carla-Louise Ramjukadh ◽  
Michael Silberbauer ◽  
Susan Taljaard
Keyword(s):  
Water Quality ◽  
Analytical Methods ◽  
Water Quality Monitoring ◽  
Technical Note ◽  
Buffering Capacity ◽  
Monitoring Programme ◽  
Quality Monitoring ◽  
Total Alkalinity ◽  
Meta Data ◽  
National Water

The South African national water quality database (Water Management System) houses data records from several environmental monitoring programmes, including the National Chemical Monitoring Programme (NCMP). The NCMP comprises an extensive surface water quality monitoring programme, managed by the Department of Water and Sanitation (DWS). The purpose of this technical note is to alert users to a systematic anomaly recently observed in the pH dataset of the NCMP, reflected in an abrupt increase between pre- and post-1990 data records. Although the cause of the anomaly in pH could not be confirmed with high confidence, an inappropriate acid rinse procedure in pre-1990 analytical methods was identified as the most likely cause, based on available evidence. This was supported by the variation in relative sensitivity when comparing the effect on waters with different buffering capacities, i.e., water with low buffering capacity (represented by total alkalinity < 10 mg/L, as CaCO3) showing the largest anomaly, compared with waters of higher buffering capacity (represented by total alkalinity > 30 mg/L, as CaCO3) showing the smallest anomaly. Historical pH data records in the NCMP (i.e. pre-1990), therefore should be used with caution, especially in more weakly buffered systems. The possibility of reconstructing data using a correction factor derived from detailed statistical analyses of the post-1990 pH characteristics at selected sites is a possible solution that could be investigated in future. A key lesson learnt is the need to be diligent in capturing detailed meta-data on sampling procedures and analytical methods in datasets spanning several generations. Availability of such information is critical in order to provide users with a means of evaluating the suitability and comparability of data records in long-term datasets. The DWS includes such meta-data in the current version of the database, dating from about 1995 onwards.

Monitoring and modelling mining impacts on water quality in Chindwin River Basin, Myanmar

2020 ◽  
Author(s):  
Thanapon Piman ◽  
Chayanis Krittasudthacheew ◽  
Shakthi K. Gunawardanaa ◽  
Sangam Shresthaa
Keyword(s):  
Water Quality ◽  
Heavy Metal ◽  
Drinking Water ◽  
Water Treatment ◽  
River Basin ◽  
Total Suspended Solid ◽  
Water Quality Monitoring ◽  
Suspended Solid ◽  
Quality Monitoring ◽  
Mining Activities

&lt;p&gt;The Chindwin River, a major tributary of the Ayeyarwady River in Myanmar, is approximately 850 km long with a watershed area of 115,300 km&lt;sup&gt;2&lt;/sup&gt;. The Chindwin River is essential for local livelihoods, drinking water, ecosystems, navigation, agriculture, and industries such as logging and mining. Over the past two decades, Myanmar&amp;#8217;s rapid economic development has resulted in drastic changes to socio-economic and ecological conditions in the basin. Water users in the basin reported that there is a rapid extension of gold and jade mining and they observed a noticeable decline in water quality along with increased sedimentation and turbidity. So far, however, Myanmar has not undertaken a comprehensive scientific study in the Chindwin River Basin to assess water quality and sources of water pollution and to effectively address issues of river basin degradation and concerns for public health and safety. This study aims to assess the status of water quality in the Chindwin River and the potential impact of mining activities on the water quality and loading through monitoring program and modeling approach. 17 locations in the upper, middle and lower parts of the Chindwin River Basin were selected for water quality monitoring. These sites are located near Homalin, Kalewa, Kani and Monywa townships where human activities and interventions could affect water quality. Water quality sampling and testing in the Chindwin River was conducted two times per year: in the dry season (May-June) and in the wet season (September-October) during 2015-2017. We monitored 21 parameters including heavy metals such as Lead (Pb), Mercury (Hg), Copper (Cu) and Iron (Fe). The observed values of Mercury in Uru River in the upper Chindwin River Basin which located nearby gold mining sites shown higher than the WHO drinking standard. This area also has high values of turbidity and Total Suspended Solid. The SHETRAN hydrological model, PHREEQC geochemical model and LOADEST model were used to quantify the heavy metal loads in the Uru River. Results from scenario analysis indicate an increase in Arsenic and Mercury load under increment of concentration due to expansions in mining areas. In both baseline and future climate conditions, the Uru downstream area shows the highest load effluent in both Arsenic and Mercury. These heavy metal loads will intensify the declining water quality condition in Chindwin River and can impact negatively on human health who use water for drinking. Therefore, we recommend that water quality monitoring should continue to provide scientific-evidence for decision-makers to manage water quality and mining activities properly.&amp;#160; Water treatment systems for drinking water are required to remove turbidity, Total Suspended Solid, and Mercury from raw water sources. Raising awareness of relevant stakeholders (local people, farmers, private sectors, etc.) is necessary as many people living in the Chindwin River Basin are using water directly from the river and other waterways without proper water treatment.&lt;/p&gt;

scholarly journals Drinking Water Quality in Urban Areas of Pakistan: A Case Study of Gujranwala City

2016 ◽  
Vol 59 (3) ◽  
pp. 157-166
Author(s):  
Sajjad Haydar ◽  
Obaidullah Nadeem ◽  
Ghulam Hussain ◽  
Haroon Rashid ◽  
Rashid Majeed
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Urban Areas ◽  
Heavy Metal Contamination ◽  
Water Quality Monitoring ◽  
National Standards ◽  
Drinking Water Quality ◽  
Tube Wells ◽  
Before And After

A study was conducted to evaluate the drinking water quality of Gujranwala city. Samples were collected from 16 locations including: 4 tube wells, 4 overhead reservoirs (OHR) and 8 house connections. Twelve physicochemical and two bacteriological parameters were tested, before and after monsoon and compared with National Standards for Drinking Water Quality (NSDWQ). The results demonstrated that most of the physicochemical parameters, except lead, nickle and chromium were within NSDWQ before and after monsoon. Bacteriological and heavy metal contamination was found before and after the monsoon. Possible reasons of contamination are: no disinfection, old and leaking water pipes, poor drainage duringmonsoon and possible cross connections between water and sewerage lines. It is recommended to practice disinfection, laying of water and sewerage pipes on opposite sides of streets and periodic water quality monitoring.

scholarly journals Iot Based Water Quality Monitoring System using Machine Learning

2019 ◽  
Vol 8 (4) ◽  
pp. 11801-11805
Keyword(s):  
Machine Learning ◽  
Water Quality ◽  
Drinking Water ◽  
Distributed Computing ◽  
Monitoring System ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
Web Of Things ◽  
Water Condition ◽  
Minimal Effort

In the present occasions, because of urbanization and contamination, it has gotten important to screen and assess the nature of water arriving at our homes. Guaranteeing safe inventory of drinking water has become a major test for the cutting edge progress. In this desk work, we present a structure and improvement of a minimal effort framework for continuous checking of the water quality (WQ) in IoT (web of things). The framework comprise of a few sensors are accustomed to guesstimatingsomatic and element limitations of the water. The parameters like temperature, PH, turbidity, conductivity, broke up oxygen of the water can be estimated. The deliberate qualities from the sensors can be prepared by the center controller. The RBPI B+ (RBPI) model can be consumed as a center controller. At last, the instrument facts can be understood on web utilizing distributed computing. Here the information's are handled utilizing AI calculation it sense the water condition if the WQis great it open the entryway divider else it shuts the door divider. This whole procedure happens naturally without human mediation therefore spare an opportunity to contract with the circumstance physically. The uniqueness of our proposed research is to get the water observing framework with high recurrence, high portability, and low controlled.

Water quality considerations in developing a new resource for water supply within the midlands of England

1998 ◽  
Vol 38 (6) ◽  
pp. 201-208 ◽  
Author(s):  
D. J. Smith ◽  
S. Crymble
Keyword(s):  
Water Quality ◽  
Water Treatment ◽  
Water Supply ◽  
Treatment Process ◽  
Water Quality Monitoring ◽  
Monitoring Programme ◽  
Quality Monitoring ◽  
Water Treatment Process ◽  
Increasing Demand ◽  
Major Consideration

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.

Production Control as a Component of Drinking Water Quality Monitoring

2020 ◽  
pp. 9-14
Author(s):  
IO Myasnikov ◽  
YuA Novikova ◽  
OS Alenteva ◽  
GB Yeremin ◽  
PA Ganichev
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Production Control ◽  
Cold Water ◽  
Water Quality Monitoring ◽  
Drinking Water Quality ◽  
Quality Monitoring ◽  
Water Supply Systems ◽  
Organization Of Production ◽  
Supply Systems

Summary. Introduction: In order to conduct a more precise and objective assessment of drinking water quality in the centralized cold water supply systems, it is essential to increase the coverage of population with laboratory control. It is therefore expedient to consider the possibility of using production control data collected within the drinking water quality monitoring system and including them in statistical reporting forms of Rospotrebnadzor for subsequent accounting when assessing the implementation of the Russian Federal Clean Water Project within the National Ecology Project. Our objective was to substantiate requirements for organization of production control of drinking water with considering a further use of its results in assessing drinking water quality. The materials of the research included current regulations and literature data. We applied methods of sanitary and epidemiologic expert examination, assessment and survey as well as methods of systemic and content analysis. Results: To evaluate the supply of the population with high-quality drinking water, it is important to consider not only test results collected within the framework of the federal state sanitary and epidemiologic surveillance but also the results of production control carried out by legal entities and individual entrepreneurs operating centralized cold water supply systems. However, organization of production control and the use of its results is usually associated with such problems as the choice of the most representative sampling points, identification of a sufficient list of controlled indicators, quality of results, etc. Conclusions: Before including the results of drinking water quality production control in the drinking water quality monitoring system, it is necessary to set the requirements for selecting monitoring sites, analytes, frequency of testing, etc. To legitimize the use of production control results, it is important to develop regulations that oblige organizations carrying out production control of drinking water quality to submit their results to Rospotrebnadzor bodies and institutions for their use in comprehensive drinking water quality assessments.

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