Analysis of climatic characteristics of the territory of distribution of the Siberian silk moth

Abstract

Siberian silk moth is one of the most dangerous pests of coniferous forests of Krasnoyarsk region, which are the most important natural resource of the region. Climate change is considered to be one of the essential criteria for the growth of the silk moth population. In 2014, there was another outbreak of the number of silk moth in the Yenisei district of Krasnoyarsk region. It is known that the forest area of the Yenisei river left bank is subject to severe damage by the silk moth, and the right bank is characterized by a weak forest damage. The task of this work is to analyze the situation with the heterogeneous lesion of the forest by the Siberian silkworm on both banks of the Yenisei river of the territory under consideration according to most detailed available meteorological data for the period from 2009 to 2018. The results of the study showed that the left bank of the river has an increased surface temperature compared to the right bank by an average of 1-1.5°C during the period under review. This effect may be the reason for the spatial distribution of the Siberian silk moth population.

Damage Calculation of Distribution Network Lines Relying on BP Neural Network

“…After more than 30 years of continuous development and improvement, the current version of Matlab has a variety of mathematical processing functions, including numerical calculations, matrix operations, graphics rendering, signal processing, file operations and so on. MATLAB data structure is based on arrays, compared with other engineering problems such as C and Fortran, MATLAB can save a lot of tedious point or matrix operations, and can save a lot of effort for the algorithm itself [17][18].…”