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基于2014年成都市县域单元土地利用遥感图像和能源消耗统计数据,论文分析了碳收支空间分布特征,通过回归模型构建,对碳收支、土地利用和经济发展协同关系进行研究。结果表明:1)成都市碳汇土地面积占比为56.97%,高于碳源用地,区域碳源/碳汇用地空间差异明显。土地利用强度为2.40~3.33,呈现“东高西低、中心最高”的空间分布特征;2)成都市净碳排放2.43×107t,呈现“东高西低、中心最高”分布特征。各县域单元碳补偿率为0.06%~11.58%,碳生态承载系数(ESC)为0.05~8.60,呈现“东低西高、中心最低”的特征;3)碳排放经济贡献系数(ECC)为0.26~1.45,呈现“中心高、周边低”的特征并且空间差异较小;4)碳排放与GDP极显著正相关(P<0.01)。ESC与土地利用强度极显著负相关(P<0.01)。ECC与土地利用强度耦合协调度均值为0.56。耦合协调度和人均GDP回归关系极显著(P<0.01),表明区域经济发展提高了碳排放经济效益和土地利用强度的耦合协调度。
Based on the statistical data of land use remote sensing images and energy consumption of county land in Chengdu in 2014, this paper analyzes the spatial distribution of carbon budget and expenditure, and studies the synergetic relationship between carbon budget, land use and economic development through regression model construction. The results showed that: 1) The land area of carbon sink in Chengdu was 56.97%, which was higher than that of carbon source land. The intensity of land use was 2.40-3.33, showing the spatial distribution characteristics of “high in the east and low in the west and highest in the center”. 2) The net carbon emission in Chengdu was 2.43 × 107t, showing the distribution characteristics of “high in the east and west on the lower and highest in the center” . The carbon compensation rate of each county is 0.06% ~ 11.58%, and the carbon ecological carrying coefficient (ESC) is 0.05 ~ 8.60, showing the characteristics of “low in the west and low in the center and lowest in the center”; 3) the economic contribution coefficient 0.26-1.45, showing the characteristics of “high center and low periphery” with small spatial differences; 4) carbon emissions have a significant positive correlation with GDP (P <0.01). There was a significant and negative correlation between ESC and land use intensity (P <0.01). The average of the coupling degree of ECC and land use intensity is 0.56. The correlation between coupling coordination and GDP per capita was significant (P <0.01), indicating that the regional economic development improved the coupling coordination between the economic benefits of carbon emissions and land use intensity.