Methods for Studying the Sensitivity of Air Quality Models and Inverse Problems of Geophysical Hydrothermodynamics


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Variational approach and sensitivity theory methods are used to construct algorithms for solving the problems of environmental forecast and design. When studying the behavior of the model in the parameter space, sensitivity functions are calculated as partial derivatives of the target functionals with respect to the model parameters. The sensitivity functions are used to investigate the properties of mathematical models and solve inverse problems. Using the proposed approach, which involves a model of air quality of the Novosibirsk agglomeration and an algorithm based on an ensemble of sensitivity functions, the inverse problem of estimating the position and intensity of pollution sources is solved.

作者简介

V. Penenko

Institute of Computational Mathematics and Mathematical Geophysics, Siberian Branch; Novosibirsk State University

编辑信件的主要联系方式.
Email: penenko@sscc.ru
俄罗斯联邦, Novosibirsk, 630090; Novosibirsk, 630090

A. Penenko

Institute of Computational Mathematics and Mathematical Geophysics, Siberian Branch; Novosibirsk State University

编辑信件的主要联系方式.
Email: a.penenko@yandex.ru
俄罗斯联邦, Novosibirsk, 630090; Novosibirsk, 630090

E. Tsvetova

Institute of Computational Mathematics and Mathematical Geophysics, Siberian Branch

编辑信件的主要联系方式.
Email: e.tsvetova@ommgp.sscc.ru
俄罗斯联邦, Novosibirsk, 630090

A. Gochakov

Siberian Regional Hydrometeorological Research Institute

编辑信件的主要联系方式.
Email: gochakov@sibnigmi.ru
俄罗斯联邦, Novosibirsk, 630099

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