Open AccessSystem of models for assessment and forecast of heat- and mass-transfer in the system “catchment-watercourse-water body”
Author(s) -
Sergey Kondratyev,
Sergey Golosov,
Marina Shmakova,
Alexandra Ershova,
I. S. Zverev,
Е. В. Иванова,
K D Korobchenkova
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1047/1/012156
Subject(s) - environmental science , hydrology (agriculture) , surface runoff , stochastic modelling , drainage basin , sediment , mass transfer , flow (mathematics) , channel (broadcasting) , meteorology , geology , mechanics , geotechnical engineering , computer science , mathematics , geography , geomorphology , physics , cartography , biology , computer network , ecology , statistics
Development of a system of models describing the processes of heat and mass transfer in the system “catchment - watercourse – reservoir” enabling the assessment of impact of economic activity and climate change on the state of water bodies. The layout of a water system model using the developed and working models of processes is performed in accordance with the determining factors: the requirements of the task; structural features of the research object; the presence and location of points of the observation network as a source of initial information for modeling. The developed system of models includes six deterministic models and one stochastic one. The deterministic models include the model of water runoff from the catchment ILHM , model of chemicals removal from the catchment ILLM , model of water flow, sediment transport and dissolved impurities in an open channel (1D, 2D, 3D), 1D model of thermal regime and mixing of reservoir FLake , 1D model of dynamics of non-conservative impurity in reservoir FLakeEco , 2D model of currents and sediment transport in shallow reservoir, 3D model of heat and mass transfer in reservoir. The stochastic component of the system is the SWM weather model, which is a stochastic generator of meteorological elements.