Multifactor Monitoring of the Smart Cities Water Framework as Information Basis for Sustainable Development

The work is devoted to the current problem of urbanization of cities. Conceptual provisions for monitoring the condition of natural objects in a smart city are proposed. The author's methodology for assessing the effectiveness of sustainable development strategies for smart cities is presented using the example of the dynamically developing agglomeration of Kazan. A highly effective natural multiplier for assessing the state of water bodies is proposed - ichthyoproductivity as a function of the objective state of zooplankton and zoobenthos. The results of long-term monitoring studies of the objective state of water bodies in the dynamically developing agglomeration of Kazan are presented. Based on the data obtained, an assessment of ichthyoproductivity was carried out and a conclusion was made about the effectiveness of the implementation of the city’s environmental strategy in general and water protection measures in particular.