Study of Artificial Reservoir's Bioproductivity Based on a Graph Model of Natural and Anthropogenic Factor Interaction
Journal: Safety of technogenic and natural systems
Year: 2025

Introduction. Ignoring the systemic nature of a reservoir can lead to ineffective and damaging management decisions. However, the study of such objects often focuses on individual factors. The predictive potential of graph models is limited by a lack of expert information and outdated databases of indicators. This work aims to address these issues by evaluating the effectiveness of measures to improve the condition of the Tsimlyansk Reservoir. The solution is based on the author's graph model th