在碳中和框架内优化国土空间结构:武安案例研究

Land Pub Date : 2024-07-26 DOI:10.3390/land13081147
Xiangxue Han, Meichen Fu, Jingheng Wang, Sijia Li
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引用次数: 0

摘要

气候变化已成为一个重大的世界性问题,而土地利用/覆盖变化在影响陆地生态系统的碳循环方面一直发挥着至关重要的作用。国土空间规划是低碳模式中相对较好的政策选择。本文通过环境参数确定了碳排放与土地利用之间的空间相关性。通过 PLUS 模型模拟了 2035 年和 2060 年自然演化和低碳发展两种情景下的国土空间结构。结果表明,以城镇、矿山和工业为中心的碳排放下降空间格局与区域经济发展、森林分布和城市生态环境有关。全域空间规划的实施有助于实现碳中和,而低碳发展情景则更加注重碳中和,这可以为全域空间规划调整提供思路。两种情景都会造成大面积的休耕地,说明耕地保护与低碳发展之间存在一定的冲突。优化管理措施、能源结构和产业布局,加强区域协调是促进低碳发展的关键。这项研究可能有助于制定区域碳中和政策,完善国土空间规划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimizing Territorial Spatial Structures within the Framework of Carbon Neutrality: A Case Study of Wuan
Climate change has become a major worldwide problem, and land use/cover change has consistently played a crucial role in impacting the carbon cycle within terrestrial ecosystems. Territorial spatial planning stands as a relatively good policy option for the low-carbon model. The spatial correlation between carbon emissions and land use was established through environmental parameters in this paper. The territorial spatial structures in 2035 and 2060 under two scenarios of natural evolution and low-carbon development were simulated through the PLUS model. The results indicate that the spatial pattern of decreasing carbon emissions centered on towns, cities, mines, and industries is related to regional economic development, the distribution of forests, and the urban ecological environment. The implementation of territorial spatial planning aids in achieving carbon neutrality, whereas the low-carbon development scenario is more focused on it, which can provide ideas for territorial spatial planning adjustments. Both scenarios result in a large area of fallow land, indicating some conflict between farmland protection and low-carbon development. Optimizing management measures, energy structure, and industrial layout and strengthening regional coordination are key to promoting low-carbon development. This study might be useful in formulating regional carbon-neutral policies and improving territorial spatial planning.
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