AVERAGE MONTHLY CO2 EMISSIONS ESTIMATES MODEL IN AGRICULTURE

DOI 10.32651/228-71

Issue № 8, 2022, article № 12, pages 71-76

Section: Problems of agroeconomic researches

Language: Russian

Original language title: МОДЕЛЬ ОЦЕНКИ СРЕДНЕМЕСЯЧНОЙ ЭМИССИИ СО2 В СЕЛЬСКОМ ХОЗЯЙСТВЕ

Keywords: CARBON DIOXIDE EMISSIONS FROM THE SOIL, RUSSIA REGIONS, STATISTICAL MODEL, AGRICULTURAL PLANTS TYPES, SOIL TYPES

Abstract: The article presents a model for estimating the emission of CO2 carbon dioxide emitted by the soil in the regions of Russia during the cultivation of agricultural crops. Currently, there is a lack of instrumental and technological means for measuring CO2 emissions in the regions of the Russian Federation. In addition, there is a limited amount of data on emissions in scientific and industry periodicals. The current situation expands the prospects for using statistical models for estimating emissions for various plant species and soil types. Among the models in domestic and foreign periodicals, the most frequently mentioned are: the DNDC simulation model, ROTHC and the ROMUL-Hum model of soil organic matter dynamics. The presented two-level statistical model is based on a function of the Cobb-Douglas equation type and applies known estimates of CO2 emissions in a particular region of the Russian Federation. The model uses the existing relationships between estimates of CO2 emissions for different types of soils and different types of crops, hydrothermal parameters of regions. At the first stage of modeling, coefficients are searched for in the function of the dependence of CO2 emission estimates on the factors under consideration and the subsequent filling in of tables of emission estimates in regions for different crops and types of soils.

Authors: Sobolev Oleg Serafimovich