Improving Environmental Protection Using Fuzzy Logic Algorithms for Analysis of Water Resource Changes
Year: 2025
Type: article
Abstract: Problem. As humanity develops and the planet’s population increases every day, the problem of environmental threats is becoming increasingly serious. In order to reduce damage to the environment, some people monitor conditions and take action to ensure a better future. This includes cleaning up rivers, lakes and oceans, planting new trees in place of felled ones, and introducing carbon-free technologies. The development of information systems that use artificial intelligence, quadcopters and remote sensing methods to analyse changes in water resources and identify environmental risks allows for a quick and accurate assessment of water resource dynamics. These systems can collect large amounts of data for further analysis and are an important tool for maintaining ecological balance.The article presents the results of a study on an information system that automates the assessment of water resource conditions by using neural networks, geographic information systems and remotely sensed data acquired by quadcopters.This system will help users optimize their working environment by providing tools for automating analysis and monitoring tasks. All calculations involving mathematical models and fuzzy logic are performed on the server part, which is responsible for storing data and calculation results in the database. Due to its flexible API architecture, the server component can be integrated into any application. The study also presents mathematical models based on fuzzy logic for analysing water resource indicators and the final state of a body of water.Purpose. The research objective is to develop an artificial intelligence-based system for monitoring and analysing changes in water resources, using quadcopters and remote sensing methods. The system should provide accurate and timely assessments of the condition of water bodies to inform decisions regarding their preservation and restoration. Fuzzy logic algorithms were employed to achieve the required forecasting outcomes.Research results. An information monitoring system was designed to assess the pollution of water resources. The main advantages of this system are its ability to predict the general state of water bodies based on photo and video information, and its graphical interface, which displays biological, hydromorphological, chemical, physicochemical and specific polluting indicators of water bodies on a map.The study of water body pollution indicators was carried out in two stages, using the fuzzy logic apparatus of the MATLAB environment. At the first stage, the poor, average or good condition of the reservoir concerning the above indicators was detected. These indicators included numerous biological indicators related to phytoplankton, hydromorphological indicators in the form of water level and interaction with the environment, chemical indicators in the form of the number of chemical pollutants, and physicochemical indicators determined by temperature, oxygen availability and the physical condition of the water body. At the second stage, a forecast of the reservoir's pollution level was made based on the analysed indicators, and a conclusion was reached by experts about the condition being very poor, poor, moderate, good or excellent.Conclusions. The information system developed for monitoring water resources uses fuzzy logic algorithms and biological, hydromorphological, chemical and physicochemical indicators.An important stage is ensuring the functionality and speed with which the predicted result is obtained through the use of information technologies associated with the improved, high-precision processing of photos and videos, as well as the fast processing of large volumes of information, due to the features of relational and non-relational databases. The system works correctly by following the developed base of fuzzy rules to produce a forecast, enabling the necessary actions to be taken to improve the environmental safety of water bodies.
Institution: Lviv Polytechnic National University
Language: English
Subfield: Water Science and Technology
Field: Environmental Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $16
OpenAlex ID: W4411705290