Abstract:
The problem of long-term ecological prediction by means of mathematical modeling with available factual data on climate dynamics is discussed. The technique of quantitative estimates of risk/vulnerability on the basis of forward and inverse modeling and methods of the sensitivity theory is described. Examples of the calculated risk domains for Lake Baikal are given.
Citation:
V. V. Penenko, E. A. Tsvetova, “Mathematical models for studying environment pollution risks”, Prikl. Mekh. Tekh. Fiz., 45:2 (2004), 136–146; J. Appl. Mech. Tech. Phys., 45:2 (2004), 260–268
This publication is cited in the following 2 articles:
Lobar Sharipova, Murodjon Khusenov, PROCEEDINGS OF THE IV INTERNATIONAL CONFERENCE ON ADVANCES IN SCIENCE, ENGINEERING, AND DIGITAL EDUCATION: ASEDU-IV 2024, 3268, PROCEEDINGS OF THE IV INTERNATIONAL CONFERENCE ON ADVANCES IN SCIENCE, ENGINEERING, AND DIGITAL EDUCATION: ASEDU-IV 2024, 2025, 070013
V. V. Penenko, E. A. Tsvetova, “Optimal forecasting of natural processes with uncertainty assessment”, J. Appl. Mech. Tech. Phys., 50:2 (2009), 300–308