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从多情景视角分析资源依赖型城市群的碳排放预测与减排潜力——以呼包鄂榆城市群为例。

Analysis of Carbon Emission Projections and Reduction Potential of Resource-Dependent Urban Agglomerations from the Perspective of Multiple Scenarios-A Case Study of Hu-Bao-O-Yu Urban Agglomeration.

机构信息

School of Economics and Management, Beijing Forestry University, Beijing 100083, China.

出版信息

Int J Environ Res Public Health. 2023 Feb 27;20(5):4250. doi: 10.3390/ijerph20054250.

Abstract

The Hu-Bao-O-Yu urban agglomeration is an important energy exporting and high-end chemical base in China, and is an important source of carbon emissions in China. The early achievement of peak carbon emissions in this region is particularly crucial to achieving the national carbon emission reduction targets. However, there is a lack of multi-factor system dynamics analysis of resource-dependent urban agglomerations in Northwest China, as most studies have focused on single or static aspects of developed urban agglomerations. This paper analyses the relationship between carbon emissions and their influencing factors, constructs a carbon emission system dynamics model for the Hu-Bao-O-Yu urban agglomeration, and sets up different single regulation and comprehensive regulation scenarios to simulate and predict the carbon peak time, peak value, and emission reduction potential of each city and urban agglomeration under different scenarios. The results show that: (1) Hohhot and Baotou are expected to reach peak carbon by 2033 and 2031 respectively, under the baseline scenario, while other regions and the urban agglomeration will not be able to reach peak carbon by 2035. (2) Under single regulation scenarios, the effect of factors other than the energy consumption varies across cities, but the energy consumption and environmental protection input are the main factors affecting carbon emissions in the urban agglomeration. (3) A combination of the economic growth, industrial structure, energy policy, environmental protection, and technology investment is the best measure to achieve carbon peaking and enhance the carbon emission reduction in each region as soon as possible. In the future, we need to coordinate the economic development, energy structure optimisation and transformation, low-carbon transformation of industry, strengthen research on carbon sequestration technology, and further increase the investment in environmental protection to make the Hu-Bao-O-Yu urban agglomeration a resource-saving urban agglomeration with an optimal emission reduction.

摘要

呼包鄂榆城市群是中国重要的能源输出和高端化工基地,也是中国碳排放的重要来源地。该区域尽早实现碳排放峰值,对实现国家碳减排目标意义重大。然而,中国西北地区资源依赖型城市群缺乏多因素系统动力学分析,大多数研究都集中在发达城市群的单一或静态方面。本文分析了碳排放量及其影响因素之间的关系,构建了呼包鄂榆城市群碳排放系统动力学模型,并设置了不同的单因素调控和综合调控情景,模拟和预测了各城市和城市群在不同情景下的碳峰值时间、峰值和减排潜力。结果表明:(1)在基准情景下,呼和浩特和包头预计分别于 2033 年和 2031 年达到碳排放峰值,而其他地区和城市群到 2035 年都无法达到碳排放峰值。(2)在单因素调控情景下,除能源消耗外,各因素对城市的影响效果不同,但能源消耗和环境保护投入是城市群碳排放的主要影响因素。(3)经济增长、产业结构、能源政策、环境保护和技术投资相结合是实现碳峰值和尽快提高各地区碳减排的最佳措施。未来需要协调经济发展、能源结构优化和转型、工业低碳转型,加强碳封存技术研究,进一步加大环保投入,将呼包鄂榆城市群建设成为资源节约型、减排效果最优的城市群。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/01c3/10002106/80361f1fc954/ijerph-20-04250-g001.jpg

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