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Methodological bases of the management of data collection for drinking water quality monitoring
Author(s) -
Igor O. Myasnikov,
Yuliya A. Novikova,
Olga I. Kopytenkova,
Maria N. Evseeva,
Gennadiy B. Yeremin
Publication year - 2021
Publication title -
gigiena i sanitariâ
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.275
H-Index - 13
eISSN - 2412-0650
pISSN - 0016-9900
DOI - 10.47470/0016-9900-2021-100-8-769-774
Subject(s) - water supply , water supply network , water quality , control (management) , quality (philosophy) , data collection , resource (disambiguation) , information system , computer science , government (linguistics) , production (economics) , environmental science , engineering , environmental engineering , ecology , computer network , philosophy , statistics , mathematics , linguistics , macroeconomics , epistemology , artificial intelligence , electrical engineering , economics , biology
. Social and hygienic monitoring results are currently used to assess drinking water quality in centralized cold water supply systems and calculate the number of people provided with high-quality drinking water. Additionally, they use the results of investigations against resource-supplying organizations. There is not enough information to analyze and obtain reliable data. It is necessary to develop a comprehensive solution. The complex should include combining the goals of many fragmented digital solutions that regulate collecting and analyzing large amounts of data. Materials and methods. Research materials and methods include production control programs and the results of a study of the quality of drinking water in centralized water supply systems. The object of the study is the localities of 15 subjects of the Russian Federation. Methods of system and content analysis were used for the examination. Results. As part of the production control, resource-supplying management of gathering information on the water quality of centralized cold water supply systems. The requirements for the management of state data are set out in the documents of the Analytical Center under the Government of the Russian Federation. The fragmentation of the collected data does not allow us to meet the requirements for the quality of information. To assess the water quality of centralized cold water supply systems, information about water supply sources, water pipes, control points in the distribution network, and research results can be supplemented with information from the automated information system “Housing and Utilities Reform”. The entire set of information should be transmitted to the formation system “Interactive map of drinking water quality control in the Russian Federation”. Conclusion. To obtain a set of reliable information, it is necessary to include the results of production control in the drinking water quality monitoring system, provide the standardization of formats for the presentation of laboratory research results, create a single software product and introduce changes in regulatory documents that oblige resource-supplying organizations to send the results of industrial water quality control in electronic form.

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