[基于STIRPAT模型的北方沿海城市碳峰值情景分析]。

Q2 Environmental Science
Ze-Jun Liu, Mei-Ting Ju
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引用次数: 0

摘要

碳调峰情景分析研究对于地方政府制定碳减排政策,如期实现碳中和具有重要意义。以某北方沿海城市2012 - 2023年社会发展和能源消费数据为基础,根据政府间气候变化专门委员会(IPCC)推荐公式计算2011 - 2022年碳排放总量和碳汇总量,筛选当地碳减排的主要驱动因素,并采用扩展STIRPAT模型结合情景分析对碳峰值进行预测。研究结果表明:①人均GDP、能源结构、能源强度、城镇化率和产业结构是海南沿海城市碳减排的主要驱动因素。人均GDP是最大的驱动因素。②在基线情景下,这个沿海城市的碳排放量在增加。在低碳情景和增强低碳情景下,沿海城市碳排放量在2030年和2025年将分别达到峰值39 915 300 t和39 701 700 t。强化低碳方案是最适合这个沿海城市发展需求的方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Scenario Analysis of Carbon Peaking in a Northern Coastal City Based on the STIRPAT Model].

Research on carbon peaking scenario analysis is of great significance for local governments to formulate carbon reduction policies and achieve carbon neutrality on schedule. Based on the social development and energy consumption data from a northern coastal city Statistical Yearbook from 2012 to 2023, the total amounts of carbon emissions and sinks from 2011 to 2022 were calculated according to the recommended formula of the Intergovernmental Panel on Climate Change (IPCC), the main driving factors of local carbon emissions reduction were screened, and the peak carbon was predicted using extended STIRPAT model combined scenario analysis. The study produced several results: ① GDP per capita, energy structure, energy intensity, urbanization rate, and industrial structure were the main drivers of carbon reduction in this coastal city. GDP per capita was the largest driver. ② Under the baseline scenario, the carbon emissions in this coastal city were increasing. Under the low-carbon scenario and the enhanced low-carbon scenario, the carbon emissions of the coastal city will peak at 39 915 300 t and 39 701 700 t in 2030 and 2025, respectively. The enhanced low-carbon scenario is the most suitable scenario for the development needs of this coastal city.

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来源期刊
环境科学
环境科学 Environmental Science-Environmental Science (all)
CiteScore
4.40
自引率
0.00%
发文量
15329
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