航空物流运输的碳排放特征动态演化数值模拟分析研究
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摘要
基于KAYA等式构建航空物流运输时碳排放影响因素分解模型,在航空物流运输的碳排放特征动态演化数值模拟分析中,将碳排放量作为对象,分析不同参数下碳排放量动态演化形式:根据EKC曲线定性讨论运输过程中碳排放量动态演化阶段性质;将坡度系数设置为10%,在不同最大速度值和不同驾驶员敏感系数下实行数值模拟,得到行驶距离与碳排放量之间的关系。经数值模拟可知,航空运输时驶入上行或下行的空中之前最大行驶速度对于运输时的碳排放数量影响较大,驾驶员敏感系数为2s~(-1)时,航空物流运输的平均排碳量较小。
The KAYA equation is used to construct the decomposition model of carbon emission influencing factors in air logistics transportation. Based on the model, in the numerical simulation analysis of the dynamic evolution of carbon emission characteristics of aviation logistics transportation, the carbon emission is taken as the object, and the dynamic evolution of carbon emissions under different parameters is analyzed:the dynamics of carbon emissions during transportation are qualitatively discussed according to the EKC curve. The nature of the evolution stage; the gradient coefficient is set to 10%, numerical simulation is carried out under different maximum speed values and different driver sensitivity coefficients, and the relationship between the driving distance and the carbon emission is obtained. According to the numerical simulation, the maximum travel speed before entering the uplink or downlink air during air transport has a great influence on the amount of carbon emissions during transportation. When the driver sensitivity coefficient is 2 s~(-1), the average carbon discharge of air logistics transport is small.
The KAYA equation is used to construct the decomposition model of carbon emission influencing factors in air logistics transportation. Based on the model, in the numerical simulation analysis of the dynamic evolution of carbon emission characteristics of aviation logistics transportation, the carbon emission is taken as the object, and the dynamic evolution of carbon emissions under different parameters is analyzed:the dynamics of carbon emissions during transportation are qualitatively discussed according to the EKC curve. The nature of the evolution stage; the gradient coefficient is set to 10%, numerical simulation is carried out under different maximum speed values and different driver sensitivity coefficients, and the relationship between the driving distance and the carbon emission is obtained. According to the numerical simulation, the maximum travel speed before entering the uplink or downlink air during air transport has a great influence on the amount of carbon emissions during transportation. When the driver sensitivity coefficient is 2 s~(-1), the average carbon discharge of air logistics transport is small.
引文
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[3]原嫄,席强敏,李国平.产业关联水平对碳排放演化的影响机理及效应研究——基于欧盟27国投入产出数据的实证分析[J].自然资源学报,2017,32(5):841-853.
[4]刘晓婷,陈闻君.基于ESDA-GIS的新疆能源碳排放空间差异动态演化分析[J].干旱区地理,2016,39(3):678-685.
[5]王格,董会忠,张慧.基于ArcGIS和SD的山东省碳排放演化格局及低碳经济发展战略仿真[J].科技管理研究,2017,37(1):249-256.
[6]杨坤一,李晶晶,张杰.含时间延迟三维节能减排系统的动力学分析[J].数学的实践与认识,2016,46(4):269-276.
[7]周叶,杨洁.碳税政策下政府碳监管对物流企业碳减排效率的影响研究[J].北京交通大学学报(社会科学版),2017,16(2):128-136.