环境科学
土地利用
温室气体
土地管理
碳纤维
土地利用规划
土地利用、土地利用的变化和林业
城市规划
解耦(概率)
环境工程
生态学
计算机科学
生物
工程类
复合数
控制工程
算法
作者
Chuyu Xia,Jian Zhang,Jing Zhao,Fei Xue,Qiang Li,Kai Fang,Zhuang Shao,Jian Zhang,Song Li,Jun Zhou
标识
DOI:10.1016/j.ecolind.2023.109902
摘要
Land-use patterns affected carbon emissions, which were influenced by urban land-use management in the long term. However, few studies linked carbon emissions with composite urban land-use management directly, leading to difficulties in reducing carbon emissions by urban land-use planning. Here, we proposed an integrated framework for carbon emissions accounting by land-use types and prediction through urban land-use management including the adjustment of urban growth mode and land-use structure. And the FLUS model and linear programming model were linked in the scenario analysis to predict carbon emissions. Finally, a decoupling model was used to evaluate the effects of urban land-use management on carbon emissions decoupling. A case study was conducted for Hangzhou from 1995 to 2015, showing the differences in carbon emissions in various scenarios for 2035. The results showed: (1) From 2010 to 2015, the carbon emissions of Hangzhou increased by 4.47 times, and it was dominated by the growth of carbon emissions for industrial land. (2) The potential of land-use structure optimization on carbon emissions reductions was from 23.80% to 28.04%, and that of compact urban growth was from 13.72% to 18.5%. (3) Decoupling relationships did not exist between carbon emissions and economic growth, and carbon emissions and urban land growth for all scenarios under urban land-use management in 2035. Our findings proposed an approach to consider practical ways to reduce carbon emissions through land-use management.
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