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基于景观格局与遥感生态指数的成都市碳排放分析
引用本文:康森源. 基于景观格局与遥感生态指数的成都市碳排放分析[J]. 湖南工业大学学报, 2024, 39(2): 75-84
作者姓名:康森源
作者单位:上海同济城市规划设计研究院有限公司
摘    要:首先利用景观格局分析方法建立最优的土地利用分类粒度;随后进行城市生态质量评价并对土地利用分类结果进行碳排放计算,然后分析成都市各区、县碳排放空间格局变化。分析可得,30 m为最佳分类粒度,2015—2020年成省市城市整体生态质量得到提升,各区、县碳排放总量处于增加状态,且城市生态质量提升区域多处于碳排放增加量大的区域。综上可得,成都市没有因为城市化进程加快使城市生态质量变差,而在城市化进程快速区域的生态质量改善明显,因此成都市整体处于生态改善建设中。

关 键 词:景观格局;空间格局;遥感生态指数;生态质量;碳排放
收稿时间:2022-04-19

Analysis of Carbon Emissions in Chengdu Based on Landscape Pattern and Remote Sensing Ecological Index
KANG Senyuan. Analysis of Carbon Emissions in Chengdu Based on Landscape Pattern and Remote Sensing Ecological Index[J]. Journal of Hnnnan University of Technology, 2024, 39(2): 75-84
Authors:KANG Senyuan
Affiliation:Shanghai Tongji Urban Planning and Design Institute Co., LTD.
Abstract:By adopting the landscape pattern analysis method, an optimal land use classification granularity is eatablished, with a subsequent urban ecological quality evaluation to be conducted and carbon emissions to be calculated based on land use classification results, followed by an analysis of changes in the spatial pattern of carbon emissions in various districts and counties in Chengdu city. Based on the analysis results, 30 meters is the optimal classification granularity. From 2015 to 2020, the overall urban ecological quality has been improved, with an increase in the total carbon emissions of each district and county. Moreover, the urban ecological quality of the city has been improved mostly in areas with a large increase in carbon emissions. In summary, it can be concluded that Chengdu has not experienced any deterioration in urban ecological quality due to the accelerated urbanization process, but witnessed a significant improvement in ecological quality in areas with rapid urbanization. Therefore, Chengdu is currently in the process of ecological improvement construction as a whole.
Keywords:landscape pattern;spatial pattern;remote sensing ecological index;ecological quality;carbon emission
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