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作 者:廖尧瑶 叶长盛[1] Liao Yaoyao;Ye Changsheng(East China University of Technology,School of Earth Sciences,Nanchang Jiangxi 330013,China)
机构地区:[1]东华理工大学地球科学学院,江西南昌330013
出 处:《国土与自然资源研究》2025年第3期80-86,共7页Territory & Natural Resources Study
基 金:国家自然科学基金(42061041)。
摘 要:为了促进赣州市经济与生态环境的协调发展,构建了碳排放与植被覆盖指标体系,利用综合评价模型、耦合协调度模型和灰色关联度模型对2010-2020年赣州市18个县区的碳排放与植被固碳耦合协调及影响因素进行分析。结果表明,赣州市碳排放与植被覆盖耦合程度与耦合协调度都呈现波动上升变化,并且具有明显的空间分异特征,耦合程度由2010年的0.638增加至2020年的0.756,呈现出南高北低的空间结构特征;耦合协调度由2010年0.622增加至2020年的0.708,呈现出以“宁都-赣县-寻乌”高值的“C”型曲线结构特征,向东部与西部方向耦合协调度减小。人口规模、城镇建设和能源消耗灰色关联度均大于0.7,与耦合协调系统密切相关。因赣州市区县经济差异,碳减排政策需因地制宜,在产业结构、碳汇固碳和城乡统筹方面实施相应策略。In order to promote the coordinated development of economy and ecological environment in Ganzhou City,an index system of carbon emission and vegetation cover was constructed.Comprehensive evaluation model,coupled coordination degree model and grey correlation degree model were used to analyze the coupling coordination of carbon emission and vegetation carbon sequeeration and its influencing factors in 18 counties and districts of Ganzhou City during 2010-2020.The results show that the coupling degree and coupling coordination degree of carbon emission and vegetation cover in Ganzhou City both fluctuate and increase,and have obvious spatial differentiation characteristics.The coupling degree increases from 0.638 in 2010 to 0.756 in 2020,showing a spatial structure characteristic of high in the south and low in the north.The coupling coordination degree increased from 0.622 in 2010 to 0.708 in 2020,showing a“C”type curve structure with a high value of“Ningdu-Ganxian-Xunwu”,and the coupling coordination degree decreased in the east and west direction.The grey correlation degree of population size,urban construction and energy consumption is greater than 0.7,which is closely related to the coupled coordination system.Due to the economic differences between Ganzhou cities and counties,carbon emission reduction policies should be adapted to local conditions, and corresponding strategies should be implemented in terms of industrial structure, carbon sequestration and urban-rural integration.
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