MODELING AND FORECASTING OF THE STATUS OF SURFACE WATER POLLUTION OF THE STYR RIVER
The main sources of surface water pollution are determined, mathematical models describing the change of values of chemical and bacteriological indicators of river water quality are considered, the consequences of influence of untreated or under-treated wastewater discharged into rivers on the quality of water in it are substantiated, predictive models of the state of pollution of surface waters are built on the basis of GIS of the Styr River at five observation stations within the Volyn and Rivne regions for the period up to 2022, it has been proved that periodic monitoring of surface water pollution is sufficient for their qualitative forecasting of their condition, etc. In recent decades, GIS has been an effective tool for wastewater management and, therefore, more effective decision-making, as it greatly simplifies the processing of large amounts of geospatial and attributive data. The use of GIS provides the integration of maps to identify places of potential pollution and geographical indication of pollution in different parts of the river, downstream to the outlets of wastewater. Studies of river processes have always been conducted primarily to study their impact on river water quality. Water quality is the main characteristic of rivers in the analysis of their ecological condition and in terms of water use. Our study emphasizes the feasibility and effectiveness of short-term continuous monthly measurement of water quality and the development of the river index in order to focus management decisions on the gradual improvement of water quality. In this study, mathematical modeling of river pollution forecasting was used and forecast diagrams for 2021-2022 were constructed. As a result, these data will be an effective environmental decision-making tool for the implementation of optimal engineering controls at points of interest to prevent environmental damage and protect human health.