The System of Geo-Simulation Modeling of Thermokarst Lakes Fields Based on the Log-Normal Distribution of Their Sizes
- DOI
- 10.2991/aisr.k.201029.037How to use a DOI?
- Keywords
- geo-simulation, software package, perma-frost, thermokarst lakes, global warming, lognormal distribution law
- Abstract
The issues of modeling the fields of thermo-karst lakes by the geo-simulation approach are considered. The permafrost zone is a zone of interest. The features of obtaining experimental data on the properties of real fields of thermokarst lakes from satellite images in the Arctic zone of Western Siberia are briefly described. Data on the distribution of random coordinates of the lakes centers and the distribution of lakes by their size are presented. Algorithmic issues of the geo-simulation modeling of lake fields are considered. The uniform distribution of the coordinates of the lakes centers is taking into account. It should be noted lakes sizes have lognormal distribution. The structure of the software package for modeling fields of thermokarst lakes is described. This is a set of software modules that provide input of model parameters, formation of pseudorandom numerical sequences and output of simulation results. The software package is implemented in Python 3.8. It allows displaying the results of modeling lake fields using modern geographic information systems. A fragment of the model field of thermo-karst lakes is presented. It was obtained as a result of a computational experiment with the software package.
- Copyright
- © 2020, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Vladimir Yu. Polishchuk AU - Yury M. Polishchuk PY - 2020 DA - 2020/11/10 TI - The System of Geo-Simulation Modeling of Thermokarst Lakes Fields Based on the Log-Normal Distribution of Their Sizes BT - Proceedings of the 8th Scientific Conference on Information Technologies for Intelligent Decision Making Support (ITIDS 2020) PB - Atlantis Press SP - 195 EP - 199 SN - 1951-6851 UR - https://doi.org/10.2991/aisr.k.201029.037 DO - 10.2991/aisr.k.201029.037 ID - Polishchuk2020 ER -