首页|基于STIRPAT模型的成都市碳排放情景预测研究

基于STIRPAT模型的成都市碳排放情景预测研究

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基于灰色关联度与相关系数,分析成都市碳排放影响因素,利用STIRPAT模型,在基准情景和低碳情景下预测成都市碳排放的中短期数据.结果表明,城市化率、产业结构和常住人口是影响成都市碳排放的主要因素,在基准情景下,碳排放增长趋势放缓,有望在2034年左右实现碳达峰目标,在低碳情景下,碳排放已有下降趋势,在2022年左右实现碳达峰目标.
Prediction of Carbon Emission Scenarios in Chengdu Based on STIRPAT Model
Based on the grey correlation degree and correlation coefficient,this paper analyzes the influencing factors of carbon emissions in Chengdu,and uses STIRPAT model to predict the short-term and medium-term data of carbon emissions in Chengdu un-der the baseline scenario and low-carbon scenario.The results show that urbanization rate,industrial structure and resident population are the main factors affecting carbon emissions in Chengdu.Under the baseline scenario,the growth trend of carbon emissions slows down,and it is expected to achieve the carbon peak target around 2034.Under the low-carbon scenario,carbon emissions have a downward trend,and the carbon peak target will be achieved around 2022.

Chengducarbon emissionsSTIRPATscenario prediction

屈仁春、陈萍秀

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成都航空职业技术学院,成都 610100

成都市 碳排放 STIRPAT 情景预测

2024

成都航空职业技术学院学报
成都航空职业技术学院

成都航空职业技术学院学报

影响因子:0.357
ISSN:1671-4024
年,卷(期):2024.40(4)