Risk assessment for drinking water production: assessing the potential risk due to the presence of Cryptosporidium oocysts in water

2002 ◽  
Vol 2 (3) ◽  
pp. 55-63 ◽  
Author(s):  
J.M. Laîné ◽  
S. Démotier ◽  
K. Odeh ◽  
W. Schön ◽  
P. Charles
Keyword(s):  
Risk Assessment ◽  
Drinking Water ◽  
Transfer Function ◽  
Treatment Process ◽  
Produced Water ◽  
Transfer Functions ◽  
Treatment Plant ◽  
Software Tool ◽  
Quality Parameters ◽  
Input Concentration

This paper presents an approach for assessing the risk of producing non-compliant drinking water (i.e. one of the quality parameters exceeds the standards fixed by legislation), taking into account the quality parameters of raw water and the process line of the treatment plant (technology, different failure mode and corresponding failure rate). Firstly, nominal and degraded modes of each step of the treatment line are analysed, in order to obtain transfer functions (which give output concentration of parameters in function of the input concentration) for each step of the treatment and each quality parameter, in nominal and degraded functioning. The transfer function of the whole treatment process can thereby be obtained by combination of transfer function of each step, and failure conditions of the whole treatment process and corresponding degraded global transfer function could be determined. Secondly, an inversion of both global function (nominal and degraded) permits to estimate probability for the resource to exceed thresholds fixed by regulation (in that case, a scenario of non-compliant drinking water exists), and to obtain a compliant water availability. Finally, this paper presents a software tool realised to evaluate the risk of non-compliant produced water, using the described methodology. Finally, an approach of risk assessment for Cryptosporidium is also presented. This method allows to identification and puts priorities for utilities presenting the highest risk.

scholarly journals Research on improving water quality using two experimental statistical methods

2018 ◽  
Vol 178 ◽  
pp. 08014
Author(s):  
Mihail Aurel Ţîţu ◽  
Andrei Victor Sandu ◽  
Costel Ceocea ◽  
Alina Bianca Pop ◽  
Ştefan Ţîţu ◽  
...  
Keyword(s):  
Drinking Water ◽  
Water Treatment ◽  
Treatment Process ◽  
Treatment Plant ◽  
Scientific Paper ◽  
Taguchi’S Method ◽  
Water Treatment Process ◽  
Experiment Method ◽  
Points Of View

This scientific paper addresses the importance of water treatment process until it becomes drinkable, studying the treatment process from different points of view that are considered to be relevant. The choice of this subject was motivated by the water consumption importance for the entire population, the scientific paper proposing to study in what way this water treatment process could be improved, using for analysis two methods of experimental statistical modeling, namely the Taguchi's method and the factorial experiment method. The purpose of this scientific paper was to identify the deficiencies of the water treatment process after it entered the treatment plant and analyze is carried out using the two mentioned methods above, were continued by finding optimization solutions for the process. These solutions are intended to avoid the situations in which the treatment plant may be unable to cover the required volume of drinking water and to ensure the quality of the drinking water supplied to consumers according to the legislation to date. The knowledge benefit of this research consists in the realization of the research intentions formulated and the practical applicability of the results.

scholarly journals Investigation of water quality changes in drinking water supplied from Sitlee water treatment plant on River Tawi to Old Jammu City, Jammu, J&K, India

2018 ◽  
Vol 10 (2) ◽  
pp. 601-607
Author(s):  
Poonam Kundan ◽  
Deepika Slathia
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Water Treatment ◽  
Water Samples ◽  
Treatment Plant ◽  
Water Treatment Plant ◽  
Quality Parameters ◽  
Faecal Coliform ◽  
Quality Changes ◽  
Distribution Point

In the present study, an attempt has been made to evaluate the water quality changes in River Tawi water treated at Sitlee water treatment plant, and supplied for drinking to Old Jammu City, Jammu, J&K, India. Water samples from the treated water unit of Sitlee water treatment plant and around ten houses from the distribution point (Old Jammu City) were analyzed monthly for various physicochemical parameters for a period of one year (February 2014 to January 2015). The study indicated deterioration of drinking water quality during its passage through the distribution network which has been attributed to the leakages and defects in the old pipe system supplying water to the Jammu city. Comparison of analyzed water quality parameters with the drinking water standards prescribed by World Health Organization (WHO) and Bureau of Indian Standards (BIS) indicated that parameters like DO (7.49-8.24mg/l), calcium(49.93-67.08mg/l), magnesium(16.14-25.21mg/l) and potassium(6.99-7.93mg/l) were almost nearing the desirable limits but were within the permissible limits and parameters like turbidity(3.5-8.17 NTU) and total hardness(78.87-120.50mg/l) were above the desirable limits in the water samples collected from the distribution point. The collected primary data for the thirteen water quality parameters has been used to calculate the Arithmetic Water Quality Index(WQI) which has shown monsoon increase with higher values at distribution point(65.65). One time microbial analysis (MPN/100ml) for total and faecal coliform has indicated presence of faecal coliform (<1/100ml) in water samples from eight households at distribution point which indicates contamination of water with human faecal matter during its passage through the distribution network. According to microbial standards laid down by Central Pollution Control Board (2008), water contaminated with faecal coliform is unfit for drinking without conventional treatment.

scholarly journals The Effect of Scale on the Performance of an Integrated Poultry Slaughterhouse Wastewater Treatment Process

2020 ◽  
Vol 12 (11) ◽  
pp. 4679 ◽  
Author(s):  
Kulyash Meiramkulova ◽  
Antonis A. Zorpas ◽  
Duman Orynbekov ◽  
Michal Zhumagulov ◽  
Gulnur Saspugayeva ◽  
...  
Keyword(s):  
Water Quality ◽  
Wastewater Treatment ◽  
Wastewater Treatment Plant ◽  
Membrane Filtration ◽  
Treatment Process ◽  
Treatment Plant ◽  
Quality Parameters ◽  
Industrial Scale ◽  
Wastewater Treatment Process ◽  
Slaughterhouse Wastewater

The efficiency of a wastewater treatment process may be affected by several factors including the scale at which the system is operating. This study aimed at investigating the influence of scale on a poultry slaughterhouse wastewater treatment process. The process is comprised of several units including electrolysis, membrane filtration, and ultraviolet irradiation. The results of the industrial-scale wastewater treatment plant of the Izevski poultry farm slaughterhouse in Kazakhstan were compared with those of a lab-scale wastewater treatment process under the same conditions. The traditional and water quality index (WQI) approaches were used to present the results and the drinking water quality standards of Kazakhstan were used as a reference. The industrial and lab-scale plants showed high purification efficiency for most of the studied water quality parameters. The comparative analysis based on the WQI showed that the industrial-scale wastewater treatment plant outperforms the lab-scale wastewater treatment process.

Scenario-based quantitative microbial risk assessment to evaluate the robustness of a drinking water treatment plant

2016 ◽  
Vol 51 (2) ◽  
pp. 81-96 ◽  
Author(s):  
Mohamed A. Hamouda ◽  
William B. Anderson ◽  
Michele I. Van Dyke ◽  
Ian P. Douglas ◽  
Stéphanie D. McFadyen ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Drinking Water ◽  
Water Treatment ◽  
Treatment Plant ◽  
Water Treatment Plant ◽  
Operating Conditions ◽  
Quantitative Microbial Risk Assessment ◽  
Microbial Risk Assessment ◽  
Microbial Risk ◽  
Treatment Processes

While traditional application of quantitative microbial risk assessment (QMRA) models usually stops at analyzing the microbial risk under typical operating conditions, this paper proposes the use of scenario-based risk assessment to predict the impact of potential challenges on the expected risk. This study used a QMRA model developed by Health Canada to compare 14 scenarios created to assess the increase in risk due to potential treatment failures and unexpected variations in water quality and operating parameters of a water treatment plant. Under regular operating conditions, the annual risk of illness was found to be substantially lower than the acceptable limit. Scenario-based QMRA was shown to be useful in demonstrating which hypothetical treatment failures would be the most critical, resulting in an increased risk of illness. The analysis demonstrated that scenarios incorporating considerable failure in treatment processes resulted in risk levels surpassing the acceptable limit. This reiterates the importance of robust treatment processes and the multi-barrier approach voiced in drinking water safety studies. Knowing the probability of failure, and the risk involved, allows designers and operators to make effective plans for response to treatment failures and/or recovery actions involving potential exposures. This ensures the appropriate allocation of financial and human resources.

Microbial risk assessment of drinking water to set health-based performance targets to improve water quality and treatment plant operations

2016 ◽  
Vol 11 (2) ◽  
pp. 495-502 ◽  
Author(s):  
A. Shea ◽  
J. Poon ◽  
S. Williamson
Keyword(s):  
Water Quality ◽  
Risk Assessment ◽  
Risk Management ◽  
Drinking Water ◽  
Health Risk ◽  
Treatment Plant ◽  
World Health ◽  
Recycled Water ◽  
Microbial Risk Assessment ◽  
Microbial Risk

Western Water (WW) provides water, recycled water and wastewater services to almost 150,000 people whilst continuously striving to improve processes to provide its customers with safe, cost effective and reliable drinking water, recycled water and treatment services. Under this framework of continuous improvement, WW has reviewed the effectiveness of its drinking water treatment systems using quantitative microbial risk assessment (QMRA) techniques described by the World Health Organization (WHO). The microbial-related water quality targets in the Australian Drinking Water Guidelines Paper 6 National Water Quality Management Strategy (2011) National Health and Medical Research Council, National Resource Management Ministerial Council, Commonwealth of Australia, Canberra are simply ‘to ensure that drinking water is free of microorganisms that can cause disease’. Whereas, the Australian Guidelines for Water Recycling adopted the WHO QMRA approach for setting health-based microbial targets to manage health risk to customers. WW has investigated adopting the AGWR methodology for drinking water risk management, and invested in the development of a convenient and practical QMRA tool for rapid assessment and reporting of the microbial safety of its drinking water systems. This action resulted in the identification of several drinking water system performance deficiencies, and recommendations for system improvements and optimization to improve health risk management to customers.

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