基于场景的Kaya身份分析,用于城市一级二氧化碳排放
1School of Architecture and Art, Central South University, Changsha, Hunan, China.
PloS one
|August 8, 2025
概括
由于排放量不断上升,宁市可能无法实现2030年碳峰值目标. 然而,环保或发展放缓的情景显示,到2028年实现这一目标的潜力很大.
科学领域:
- 环境科学 环境科学
- 气候变化研究 气候变化研究
- 城市可持续性 城市可持续性
背景情况:
- 全球减少二氧化碳 (CO2) 排放的承诺正在增加.
- 中国城市正在努力实现2030年峰值碳排放目标.
- 未来二氧化碳排放的不确定性需要强大的分析方法.
研究的目的:
- 分析中国城市未来二氧化碳排放的不确定性.
- 评估长宁市实现2030年碳峰值目标的潜力.
- 探索不同发展场景对二氧化碳排放的影响.
主要方法:
- 基于场景的卡雅身份分析方法的开发.
- 根据通常情况,快速经济增长,环保主义和经济发展放缓的场景,预测二氧化碳排放量.
- 案例研究分析的重点是中国湖南省长宁市.
主要成果:
- 根据通常情况下的情况,宁的二氧化碳排放量预计将从3,839.1万 (2022) 增加到4,674.3万 (2031),错过了目标.
- 快速的经济增长可能导致到2031年排放量上升到5447万.
- 环保和经济发展放缓的情景表明,2028年可能出现碳峰值 (分别为3,922和3,980.2万).
结论:
- 在目前的趋势下,宁市面临着实现2030年碳峰值目标的挑战.
- 在强调环境保护或经济增长缓慢的具体情景下,实现碳峰值目标是可行的.
- 节能和减少排放的措施对于防止在经济发展过程中排放的复苏至关重要.
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