Font Size: a A A

Research On Carbon Emission Calculation And Green Industry Development In Ethnic Minority Areas Of Chongqin

Posted on:2024-05-28Degree:MasterType:Thesis
Country:ChinaCandidate:Y L HaoFull Text:PDF
GTID:2531307052966669Subject:Environmental Engineering
Abstract/Summary:PDF Full Text Request
My country’s environmental pollution problem is becoming more and more serious.Since the reform and opening up,a large number of forest land and cultivated land have been converted into construction land.The extensive development method has caused a large amount of carbon emissions in the process of land use change.Research shows that urban and rural industrial and mining land is the largest source of carbon emissions,followed by animal husbandry,and scientific and reasonable land management methods can reduce carbon emissions.Therefore,we are required to use land resources efficiently and shift to high efficiency and low carbonization.With the carbon neutrality policy proposed,we should study carbon emissions.Conducive to improving the ecological environment and implementing national policies.Based on the land use data and energy consumption data of the four counties and one district in 2010,2015 and 2020,this paper analyzes the spatiotemporal evolution characteristics of carbon emissions in the four counties and one district,and uses the single factor decomposition method to analyze the influencing factors of regional carbon emissions.The design principles and suggested measures are put forward for the tourism landscape development of four counties and one district.The main research results are as follows:(1)The carbon emissions of the four counties and one district showed a slight downward trend.The area of urban and rural areas,industrial and mining,and residential land increased year by year,and the grassland area decreased significantly.From the perspective of carbon emission structure,industrial and other construction land has the largest carbon emission,followed by animal husbandry.The structure and changes of land use carbon emissions in different county units are not the same.(2)In 2020,industrial carbon emissions show the spatial distribution characteristics of the north,south,high,middle,and low.Shizhu County has the highest industrial carbon emissions,with a total emission of 465,200 tons,accounting for 32.4% of the total industrial carbon emissions.The carbon emissions of animal husbandry are high in the northeast and low in the southwest.,agricultural carbon emissions are high in the southwest and low in the northeast.Overall,the population and GDP of the primary industry inhibit per capita carbon emissions,while the urbanization rate promotes per capita carbon emissions.Different influencing factors have different strengths and directions in different districts and counties.(3)A low-carbon and circular development model is proposed for the agriculture and animal husbandry of ethnic minorities,which enables ethnic minority areas to produce more output,higher income and cleaner production under limited land resources.(4)Through the local culture,living habits,historical documents,exploring the design methods suitable for ethnic minorities to develop tourism,and conducting on-the-spot research,in order to help the four counties and one district to develop tourism and better protect the ethnic culture in the torrent of the times,to preserve the authenticity of cultural heritageTo sum up,this paper conducts a preliminary study on the carbon emissions of land use in four counties and one district,and on the premise of understanding the industrial structure and development of ethnic minorities,proposes tourism landscape design principles and industrial optimization methods according to local conditions,which are helpful for improving the production efficiency of ethnic minorities.It is of positive significance to protect national culture,reduce carbon emissions,and build a new low-carbon and environmentally friendly tourist area.
Keywords/Search Tags:Carbon Emission, Minority Areas, Rural Tourism, Low-carbon Circular Economy Model, Carbon Emission Structure, Analysis of Influencing Factors
PDF Full Text Request
Related items