Key Laboratory for City Cluster Environmental Safety and Green Development of the Ministry of Education, School of Ecology, Environment and Resources, Guangdong University of Technology, Guangzhou, 510006, China; Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, 511458, China.
Key Laboratory for City Cluster Environmental Safety and Green Development of the Ministry of Education, School of Ecology, Environment and Resources, Guangdong University of Technology, Guangzhou, 510006, China; Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, 511458, China.
J Environ Manage. 2022 Oct 1;319:115660. doi: 10.1016/j.jenvman.2022.115660. Epub 2022 Jul 5.
Megacities exploit enormous amounts of lands from outside of the city boundary. However, there is a large knowledge gap in the impact of socioeconomic activities associated land-use changes on carbon emissions of megacities during the urbanization. In the current work, we combined the material-flow analysis, environmental extended input-output model, and land matrix data to construct a hybrid network framework. Such a framework was used to estimate the carbon emissions driving from trade between sectors and associated land use changes during 2000-2015 in Shenzhen, China. Results indicated that the total carbon emissions of Shenzhen had a growth rate of 262.7% from 2000 to 2010 and a declining rate of 17.6% from 2010 to 2015. This pattern is associated with large declining rates in the overall energy and carbon intensities by 53.8% and 63.2% during the period of 2000-2015. Meanwhile, embodied carbon emissions of Shenzhen kept rising by approximately twofold, accompanied by the increasing trends in the land-use related carbon emissions both inside and outside of city boundary. The land uses per unit GDP showed a dramatical decline by 85.7% and with a large contribution of the transportation and industrial land, and this caused a gradual increase in overall land-use related emissions with average growth rate of 7.1%. In addition, the land-use change related carbon emissions of the transportation and industrial land had a cumulative growth of 85%. As for the embodied land-use related carbon emissions, the dominated contributor was the Agriculture sector which drove an average of 0.13 MtC yr emissions via importing agricultural products from outside of Shenzhen. This study provides a scientific foundation for corporately mitigate carbon emissions between megacities and their surrounding regions.
特大城市从城市边界外利用大量土地。然而，在城市化过程中，与社会经济活动相关的土地利用变化对特大城市碳排放的影响方面存在很大的知识差距。在目前的工作中，我们结合物质流分析、环境扩展投入产出模型和土地矩阵数据构建了一个混合网络框架。该框架用于估计 2000-2015 年期间中国深圳部门间贸易和相关土地利用变化驱动的碳排放量。结果表明，深圳的总碳排放量从 2000 年到 2010 年增长了 262.7%，从 2010 年到 2015 年下降了 17.6%。这种模式与 2000-2015 年间总体能源和碳强度分别大幅下降 53.8%和 63.2%有关。与此同时，深圳的隐含碳排放量增长了约两倍，伴随着城市内外土地利用相关碳排放量的上升趋势。单位 GDP 的土地利用显示出戏剧性的下降，下降了 85.7%，主要是交通和工业用地的增加，这导致了整体土地利用相关排放的逐渐增加，平均增长率为 7.1%。此外，交通和工业用地的土地利用变化相关碳排放累计增长了 85%。对于隐含的土地利用相关碳排放，主要贡献者是农业部门，该部门通过从深圳以外地区进口农产品，平均每年排放 0.13 MtC 的碳。本研究为特大城市与其周边地区共同减少碳排放提供了科学依据。
