Forecast of thermokarst lakes dynamics in permafrost based on geo-simulation modeling and remote sensing data

Bibliographic Details
Parent link:CEUR Workshop Proceedings: Online Proceedings for Scientific Conferences and Workshops
Vol. 1839 : Mathematical and Information Technologies, MIT-2016.— 2017.— [P. 393-405]
Main Author: Polishchuk Y. M. Yury Mikhaylovich
Corporate Author: Национальный исследовательский Томский политехнический университет Инженерная школа информационных технологий и робототехники Отделение информационных технологий
Other Authors: Polishchuk V. Yu. Vladimir Yurjevich
Summary:Title screen
The information technology of forecast of the dynamics of lake’s fields in permafrost was developed using geo-simulation approach to modeling. The model properties were determined on base of analysis of data on climatic changes and satellite images. The program complex for predicting geocryological changes under global warming using computer experiments with the model is presented. A new forecast assessments of changes of thermokarst processes on the territory of West-Siberian permafrost were obtained on base of computer experiments. model. It is shown that the gradual increase in temperature to 2 - 3 ∘C in future decades will cause a reduction in the area of thermokarst lakes, what is an indicator of the continuing degradation of permafrost by the end of the century. The developed information technology can be used for solving problems of predicting the dynamics of greenhouse gas emissions from thermokarst ponds in Western Siberia under the impact of global warming. abstract environment.
Published: 2017
Subjects:
Online Access:http://ceur-ws.org/Vol-1839/MIT2016-p35.pdf
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=657874