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成都市县域土地利用碳排放效应及效率研究

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土地利用变化是影响碳排放量的重要因素之一,研究土地利用碳排放效应以及作用机制,对制定碳减排政策具有重要意义.本文以成都市县域为研究单元,基于2010-2020年土地利用和能源消费数据,分析其碳排放分布特征、碳排放风险和碳排放强度与效率的关系等.研究表明,成都市耕地、林地、未利用地面积逐渐减少,而水域、草地、建设用地面积逐渐增加;成都市土地利用净碳排放量整体呈增长趋势,净碳排放量净增加553.62 × 104 t,年均增长5.57%;成都市各县域土地利用碳排放风险、压力逐年增长,并且各县域之间差异较大,高度碳生态压力区主要位于成都市主城区;2020年成都市高排放—中效率、中排放—高效率位于一圈层;中排放—中效率位于二圈层;低排放—低效率位于三圈层.
Research on carbon emission effect and efficiency of land use in Chengdu city
Land use change is one of the important factors affecting carbon emissions,and it is of great significance to study the law and mechanism of land use carbon emission effects to formulate targeted carbon emission reduction policies.Taking the county area of Chengdu as the research unit,this paper analyzes distribution characteristics of carbon emissions,carbon emission risk,and the relationship between carbon emission intensity and efficiency based on the land use and energy consumption data from 2010 to 2020.The results show that from 2010 to 2020,there was a decrease in the extent of cultivated land,forest land,and unused land in Chengdu,while the water area,grassland,and construction land witnessed an increase.From 2010 to 2020,the net carbon emissions of land use in Chengdu showed an overall growth trend,and the net carbon emissions increased by 553.62 × 104 t,with an average annual growth rate of 5.57%.In the past 10 years,the risk and pressure of land use carbon emissions in all counties increased year by year,and there was a large difference among counties.The areas with high carbon ecological pressure were mainly located in the main urban area of Chengdu.In 2020,Chengdu's high emissions-medium efficiency and medium emissions-high efficiency were located in the first circle;Medium emissions-medium efficiency was located in the second circle;Low emissions-low efficiency was located in the third circle.

land use carbon emissioncarbon ecological pressureintensity-efficiency analysisChengdu city

夏薇、陈训波

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西南民族大学公共管理学院,四川成都 610041

西南民族大学商学院,四川成都 610041

土地利用碳排放 碳生态压力 强度—效率分析 成都市

西南民族大学2023年研究生创新型科研项目

YB2023526

2024

自然资源情报
国土资源部信息中心

自然资源情报

影响因子:0.434
ISSN:2097-101X
年,卷(期):2024.(3)