RISK-ORIENTED APPROACH TO THE QUALITY ASSESSMENT OF WATER SOURCES OF DRINKING WATER SUPPLY
Introduction. Correct control and assessment of compliance of the composition and properties of drinking water sources with the established safety criteria are necessary conditions for ensuring the quality of life and health of the population in a situation of increasing exposure to chemical factors. Therefore, the most important is to increase the reliability of sanitary and hygienic conclusions. Material and methods. To achieve the goal of the work, there was used the Bayesian approach, methods for checking data homogeneity and evaluation of the measure of the statistical homogeneity. It is shown that the evaluation by Bayes method, requiring consideration of limiting factors, provides a correct solution to the problem of the implementation of the established sanitary and hygienic requirements. Representation of Bayesian relations in the form of estimates of the mixture of distributions allows taking into account the degree of statistical homogeneity of the combined samples, which significantly expands the scope of the method. Although the samples selected for consideration in the simple case can be considered homogeneous in the examples of the assessment of hygienic safety of water, it turned out that the transition from the binomial distribution law to a more strict normal one reduces the risk of accidental error of the desired conclusion. This provides the researcher with the opportunity to use, depending on the requirements for the accuracy of the assessment, different algorithms of a risk-based approach to the assessment of hygienic safety. results. On the example of the study of the water quality in the Verkhny Isetsky Vodokanal recreational area and source of water in Northern part of Ekaterinburg the inclusion of the homogeneity of merged data was shown to allow “forgetting” the earlier information (e.g., 2009) and thus to give more weight to recent data (2010). It is also shown that in this case, the combined estimates with the degree of homogeneity of the data series are not worse than the Bayesian estimates. It is concluded that the lower the degree of uniformity, the faster the above “forgetting” occurs. And the risks of violation of hygienic requirements depend on the choice of the law of distribution of controlled indicators. Conclusion. There was established the possibility of increasing the reliability of sanitary and hygienic conclusions by correctly combining the latest measurement information with outdated data, taking into account their gradual “forgetting”. The developed methods of the used for this risk-based approach can be widely applied to assess the hygienic safety of the population under the influence of a wide range of chemical factors.
About the authorsRosenthal Oleg M.
Onishchenko G.G., Rakhmanin Yu.A., Zajceva N.V. Scientific and methodological aspects of ensuring the hygienic safety of the population in terms of exposure to chemical factors. M.: MIG “Medical book”, 2004. 368 p. (in Russian).
Novikov S. M., Fokin M. V., Ungureanu T. N. Topical issues of methodology and development of evidence-based assessment of health risk of the population under the influence of chemicals. Gigiena i sanitariya [Hygiene and Sanitation, Russian journal]. 2016; 95(8): 711-716. (in Russian).
P 18.104.22.1680-04. Guidelines for the assessment of public health risks from exposure to chemicals that pollute the environment. M.: Federal center of Gossanepidnadzor of Russia. 2004. 143 p. (in Russian).
Onishchenko G.G., Novikov S.M., Rakhmanin Yu.A., Avaliani S.L., Bushueva K.A. Principles of risk assessment for public health when exposed to chemicals, polluting the environment. Ed. Rakhmanin Yu. A., Onishchenko G.G. M.: Institute of ECH and STATE. 2002. 408 p. (in Russian).
EPA (U.S. Environmental Protection Agency). 2007. Concepts, Methods, and Data Sources for Cumulative Health Risk Assessment of Multiple Chemicals, Exposures and Effects: a Resource Document. EPA/600/R-06/013F. August. 2007.
Rivers and lakes of the world. Encyclopedia. Ed. V. I. Danilov-Danilyan. Encyclopedia. M.: 2012. 925 p. (in Russian).
Nivorozhkina L. I., Morozova Z. A. Probability Theory and mathematical statistics in definitions, formulas and tables: reference manual. Rostov-on-Don: Phoenix, 2007. 192 p. (in Russian).
Kerry V. Smith,William H. Measuring Water Quality Benefits. Kluwer-Nijhoff Publishing. Boston, 2010. 326 p.
Rozental O. M., Chereshnev V. A., A normal model of balanced nature management. Russian Journal of Ecology, 2010; 41(41): 356-363. © Pleiades Publishing, Ltd., 2010.
Rosenthal O. M., Alexander L. N. Vodnye resursy. Kachestvo informacii o sostave vody [Water resources management. Quality of information on the composition of water]. 2015; 42(4): 433-441. (in Russian).
SanPiN 22.214.171.1240-00 “Hygienic requirements for surface water protection”. (in Russian).
SanPiN 126.96.36.1994-01. Drinking water. Hygienic requirements to water quality of centralized drinking water supply systems. Quality control. (in Russian).
SanPiN 188.8.131.525-02 Hygienic requirements for water quality of non-centralized water supply. Sanitary protection of sources. (in Russian).
Smith A. F. M. and Spiegelhalter D. J. Bays factors and choice criteria for linear models, Journal of the Royal Statistical Society. 1980; 42(2): 213-220.
Pearl, J. Graphs, causality, and structural equation models. Sociolocical Methods and Research. 1998; 27: 226-284.
ISO 5725-1: 1994, Accuracy (trueness and precision) of measurement methods and results - Part 1: General principles and definitions.
ISO 5725-2: 1994, Accuracy (trueness and precision) of measurement methods and results - Part 2: Basic method for the determination of repeatability and reproducibility of a standard measurement method.
ISO 5725-3: 1994, Accuracy (trueness and precision) of measurement methods and results - Part 3: Intermediate measures of the precision of a standard measurement method.
ISO 5725-4: 1994, Accuracy (trueness and precision) of measurement methods and results - Part 4: Basic methods for the determination of the trueness of a standard measurement method.
ISO 5725-5: 1998, Accuracy (trueness and precision) of measurement methods and results - Part 5: Alternative methods for the determination of the precision of a standard measurement method.
ISO 5725-6: 1994, Accuracy (trueness and precision) of measurement methods and results - Part 6: Use in practice of accuracy values.
Bikbulatov E. S., Stepanova I. E. Harrington’s desirability function for natural water quality assessment. Russian Journal of General Chemistry. 2011; 81(13): 2694-2704.
Korolyuk V.S., Portenko N.I., Skorokhod A.V., Turbin A.F. Handbook of probability theory and mathematical statistics. Moscow: Science, 1985. 640 p. (in Russian).
Rife G., Schleifer R. Applied statistical decision theory. M.: Statistics, 1977. 360 p. (in Russian).
GOST R 54500.3-2011/ISO/IEC Guide 98-3:2008 Uncertainty of measurement. Part 3. The guide to the expression of uncertainty in measurement/ (in Russian).
GOST R ISO 21748-2012. Statistical technology. Guidance on the use of estimates of repeatability, repeatability, and accuracy in assessing measurement uncertainty. (in Russian).
Shweta Tyagi, Bhavtosh Sharma, Prashant Singh, Rajendra Dobhal. Water Quality Assessment in Terms of Water Quality Index. American Journal of Water Resources. 2013; 1(3): 34-38.
Harashit Kumar Mandal. Influence of Wastewater PH on Turbidity. International Journal of Environmental Research and Development. 2014; 4(2):105-114.
Taguchi Genichi, Chowdhury Subir. Taguchi’s Quality Engineering Handbook. 1696 p. 2004.
Kryukov S.P., Bodrunov S.D., Alexander L.N. and other. Methods of analysis and assessment of risks in the tasks of safety management of complex technical systems. SPb.: Aerospace equipment Corporation, 2007. 460 p. (in Russian).
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