
Implementation of Decision Support System for Moscow River Water Supply System Management
Publication year - 2018
Publication title -
vodnoe hozâjstvo rossii: problemy, tehnologii, upravlenie/vodnoe hozâjstvo rossii : problemy, tehnologii, upravlenie
Language(s) - English
Resource type - Journals
eISSN - 2686-8253
pISSN - 1999-4508
DOI - 10.35567/1999-4508-2018-4-10
Subject(s) - inflow , environmental science , water resources , water resource management , water supply , drainage basin , current (fluid) , hydrology (agriculture) , decision support system , water cycle , watershed , watershed management , hydrological modelling , environmental resource management , environmental engineering , computer science , geography , engineering , geology , meteorology , artificial intelligence , ecology , cartography , geotechnical engineering , climatology , machine learning , electrical engineering , biology
Centre of registry and cadaster provides with the developed DSS information support for management of the Moscow River water supply system since 2009. Information support includes hydrological and water resources analysis, inflow predictions, evaluation of the current state of MRWSS and development of recommendations for water reservoirs management pattern for a next operation term. The developed recommendations are regularly presented at the sessions of interdepartmental working group of the Moscow-Oka river basin authorities. Analysis of current hydrological state is provided on the base of GIS-technologies. Water inflow is calculated by ECOMAG hydrological model describing the full hydrological cycle of the Moscow River watershed. The technique for prediction of water inflow to reservoirs, based on use of a set of weather scenarios, is presented. Water regimes for 5 water reservoirs and downstream branches of the Moscow, Ruza, Ozerna and Istra rivers for a next planning term, are developed with use of VOLPOW water resources system simulation model. Finally the ways of improvement of the discussed DSS for Moscow River water supply system management are proposed.