基于SD法的湖南省土地利用碳排放情景 方案设定与仿真模拟
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教育部人文社会科学规划基金资助项目(17YJCZH258),湖南省社会科学基金资助项目(17JD25),湖南省 社会科学评审委课题基金资助项目(XSP19YBZ142),湖南省研究生科研创新基金资助项目(CX2018B738)


Scenario Setting and Simulation of Land-Use Carbon Emissions in Hunan Province Based on System Dynamics
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    摘要:

    设定湖南省土地利用碳排放情景方案,并以此探求碳排放增长演化规律。基于系统动力学(system dynamics,SD)原理与方法,统筹考虑经济、能源、土地利用、人口等因素对湖南省土地利用碳排放的影响作用,构建湖南省土地利用碳排放SD模型,并设定趋势发展等7种情景方案进行动态仿真模拟。按照趋势发展情景,2017—2030年湖南省土地利用碳排放量将由7 648.8万t增长至11 217.8万t,年均增长率为3.33%;比较其余6种政策情景,基于技术进步和能源结构优化的情景,到目标年土地利用碳排放量比趋势发展情景分别减少了206.4万t和517.5万t,年均增长率分别为3.17%和2.89%;在综合调控情景中,目标年土地利用碳排放量较趋势发展情景减少了560.6万t,减排效果最为显著。

    Abstract:

    A scenario setting has been made for the land-use carbon emissions in Hunan Province, followed by an inquiry made into the growth evolution for carbon emissions. Based on the principle and method of system dynamics (SD), with a consideration given to the effects of economy, energy, land use and population on land-use carbon emissions in Hunan Province, SD model of land-use carbon emissions in Hunan Province is to be constructed, with seven scenarios, including trend development, set up for the dynamic simulation. According to the trend development scenario, the land-use carbon emissions in Hunan Province will increase from 76.488 million tons to 112.178 million tons in 2017—2030, with an average annual growth rate of 3.33%. Compared with the other six policy scenarios, and based on the scenarios of technological progress and energy structure optimization, the land-use carbon emissions of in the target year are to be reduced by 2.064 million tons and 5.175 million tons, respectively, with an average annual growth rate of 3.17% and 2.89%. With all the policies integrated in a control scenario, the land-use carbon emissions in the target year are to decrease by 5.606 million tons compared with the trend development scenario, with its emission reduction effect the most significant.

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陈紫君,赵先超,倪筱珈.基于SD法的湖南省土地利用碳排放情景 方案设定与仿真模拟[J].湖南工业大学学报,2019,33(6):67-74.

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  • 收稿日期:2019-03-29
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  • 在线发布日期: 2019-12-03
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