Open AccessElectronic classifier of natural water treatment technologies
Author(s) -
Olga Shikulskaya,
Л. В. Боронина,
Galina Bekmuratovna Abuova,
A E Usynina
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/775/1/012098
Subject(s) - water quality , water supply , computer science , classifier (uml) , selection (genetic algorithm) , water treatment , environmental science , environmental engineering , artificial intelligence , ecology , biology
The choice of methods of water treatment in conditions of increasing requirements for drinking water quality, lack of funding for the commissioning of new water supply capacities and non-decreasing anthropogenic loads on water sources, is dominant in the design of new and reconstruction of existing water treatment stations. The authors developed an electronic classifier of natural water treatment technologies for computer support of selection and feasibility study of optimal design solution of water supply on the basis of classifiers of technological schemes of water treatment, developed by the team of authors under scientific and methodological guidance of M.G. Jurba. Use of this system allows to increase efficiency of design of new water treatment stations and reconstruction of existing ones due to reduction of selection time of technological schemes, to minimize probability of selection error. It provides the best value for money for the project.