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A Study On The Temporal And Spatial Distribution Of Forest And Grassland Fire In The Cross-border Regions Between China,North Korea And Russia

Posted on:2022-07-07Degree:MasterType:Thesis
Country:ChinaCandidate:C D PiaoFull Text:PDF
GTID:2493306602985689Subject:Geography
Abstract/Summary:PDF Full Text Request
Since the emergence of forests,forest grassland fires often occur.More than 200,000 forest and grassland fires occur in the world every year on average,and forest and grassland fires are not easy to be found in time,once out of control will have a great impact.Therefore,the forest and grassland fire timely,accurate positioning and monitoring is of great significance.However,simply relying on artificial ground monitoring forest and grassland fires is not only costly,but also time-sensitive poor,there are blind areas,low monitoring accuracy.In contrast,remote sensing(RS)has become an indispensable means for forest and grassland fire monitoring and disaster prevention and reduction because of its large coverage area and fast real-time update speed.Based on the fire hotspot data,the temporal and spatial distribution characteristics of forest grassland fires in China,Korea and Russia were studied.At the same time,DEM data and land cover data are used to analyze the temporal and spatial distribution characteristics of fire area of forest and grassland fires,and the frequency of forest and grassland fires and the correlation of fire area are analyzed based on cultivated land data,meteorological data and population density data to provide a theoretical basis for fire prevention and mitigation of forest and grassland fires.The main results are as follows:1.In terms of the frequency of forest and grassland fires,the annual frequency of forest and grassland fires in the whole region increased from 2000 to 2021,with forest and grassland fires accounting for 37.76%and 38.4%respectively in the spring and autumn,and forest and grassland fires accounting for 0.38%and the least in summer.In different areas,forest grassland fires occurred more frequently in Russia than in Korea than in China,and in different areas,forest grassland fires occurred most frequently in spring and least in summer.2.Judging from the burning area,the burning area in the whole region has shown a decreasing trend in the past 20 years.The burning area of forestland was 72.38%and the burning area of grassland was 19.56%in different land use types.In different topography,the steeper the slope and the higher the height,the smaller the burning area;sunny slope is slightly higher than cloudy slope forest grassland fire,the burning area within the range of 1-100 meters altitude accounts for 77.25%of the whole area,and there is basically no forest grassland fire within the range of 1000-1100 meters altitude.In different countries,the fire area of Russia,Korea and China accounted for 86.32%,11.57%and 2.11%of the area of forest and grassland fire respectively.In different land use types,forest and grassland fires occurred mainly in arable land in China,accounting for 50.94%of the total fires in North Korea and Russia,followed by grassland,accounting for 50.58%and 75.98%of the total fires respectively.In different topography,forest and grassland fires on the Chinese side,the Korean side and the Russian side mostly occurred in the areas with gentle slope and low altitude.3.From the perspective of driving force affecting the frequency of forest and grassland fires,the humanistic factor is the main driving force affecting the frequency of forest and grassland fires on the side of China,and the natural factor is the main driving force affecting the frequency of forest and grassland fires on the side of Russia.The frequency of forest and grassland fires in Korea is affected by both human and natural factors.From the view of the driving force,the driving force of the humanistic factor is population density,and the main factor of the natural factor is precipitation.
Keywords/Search Tags:Normalized Burning Index(NBR), distribution characteristics of forest and grassland fires, the cross-border area, remote sensing monitoring
PDF Full Text Request
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