Abstract:
A technique of environmental forecasting with allowance for climate-related factors is proposed. For this purpose, a set of subspaces ranked in terms of disturbance scales is chosen by means of orthogonal decomposition from multidimensional multicomponent databases containing information on the functions of state that describe atmospheric processes for a long period. The leading part of subspaces that take into account climate-scale processes composes an informative basis for hydrodynamic background formation in calculating the forecast scenarios of changes in atmosphere quality. Calculated scenarios with estimates of atmosphere pollution in the Far East of Russia and at the adjacent territories of China and Korea are presented.
Citation:
V. V. Penenko, E. A. Tsvetova, “Mathematical models of environmental forecasting”, Prikl. Mekh. Tekh. Fiz., 48:3 (2007), 152–163; J. Appl. Mech. Tech. Phys., 48:3 (2007), 428–436
This publication is cited in the following 6 articles:
Z. T. Khassenova, A. T. Kussainova, Communications in Computer and Information Science, 998, Computational and Information Technologies in Science, Engineering and Education, 2019, 125
K.G. Shvarts, Y.A. Shvarts, V.A. Shklyaev, “Two-dimensional model of mesoscale processes in the lower atmosphere with allowance for inhomogeneity of temperature and air humidity”, Comp. Contin. Mech., 8:1 (2015), 5
V. N. Lykosov, V. N. Krupchatnikov, “Some directions in the development of dynamic meteorology in Russia in 2007–2010”, Izv. Atmos. Ocean. Phys., 48:3 (2012), 255
V. V. Penenko, E. A. Tsvetova, “Optimal forecasting of natural processes with uncertainty assessment”, J. Appl. Mech. Tech. Phys., 50:2 (2009), 300–308
Vladimir Penenko, Elena Tsvetova, “Discrete-analytical methods for the implementation of variational principles in environmental applications”, Journal of Computational and Applied Mathematics, 226:2 (2009), 319
Vladimir Penenko, Elena Tsvetova, “Orthogonal decomposition methods for inclusion of climatic data into environmental studies”, Ecological Modelling, 217:3-4 (2008), 279