Open AccessDIGITAL TECHNIQUES FOR WATER POLLUTION CONTROL
Author(s) -
Nina Sava,
Galina Marusic
Publication year - 2021
Publication title -
journal of engineering science
Language(s) - English
Resource type - Journals
eISSN - 2587-3482
pISSN - 2587-3474
DOI - 10.52326/jes.utm.2021.28(2).12
Subject(s) - computer science , software , process (computing) , aquatic ecosystem , realization (probability) , water quality , pollution , quality (philosophy) , set (abstract data type) , control (management) , pollutant , environmental science , risk analysis (engineering) , ecology , artificial intelligence , medicine , philosophy , statistics , mathematics , epistemology , biology , programming language , operating system
This paper is a detailed description and analysis of the most popular techniques digital for water quality control nowadays. It is illustrated how these techniques can be applied to solve problems that have arisen as a result of water pollution of aquatic ecosystems in different countries of the world. The advantages and disadvantages of using dynamic simulation software tools are presented and are based on an analysis of their operation. For each software product are highlighted the water quality parameters that can be simulated. It also presents the analysis of software products regarding the type of simulated aquatic ecosystem, as well as spatiotemporal modelling. The realization of these techniques is based on mathematical models. The development of digital techniques at the regional level may take into account certain characteristics specific to a particular aquatic ecosystem. The models can only cover a limited number of pollutants. In the process of selecting the parameters for the model, pollutants must be chosen which are a concern in themselves and which would also represent a wider set of substances that cannot be modelled in detail. Although the digital techniques examined to provide a particularly accurate estimate of water quality, the behaviour of pollutants in aquatic ecosystems remains an area of active and current research.