| 基于改进参数的长三角城市群生态足迹时空动态及驱动因子分析 |
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| 引用本文： | 闻熠, 高峻, 姚扬, 林章林. 基于改进参数的长三角城市群生态足迹时空动态及驱动因子分析[J]. 环境工程技术学报, 2020, 10(1): 133-141. doi: 10.12153/j.issn.1674-991X.20190061 |
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| 作者姓名： | 闻熠 高峻 姚扬 林章林 |
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| 作者单位： | 1.上海师范大学环境与地理科学学院;2.上海师范大学城市发展研究院;3.中国环境科学研究院清洁生产与循环经济研究中心;4.复旦大学工商管理博士后流动站 |
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| 摘 要： | 以长三角城市群为研究区域,基于国家公顷对生态足迹模型参数进行修正,然后对研究区域26个城市2006—2016年人均生态足迹时间序列变化和空间分布情况进行分析,最后选取3个典型城市(上海市、苏州市和马鞍山市)从环境、经济等方面对生态足迹变化的主要驱动因子进行探讨。结果表明:2006—2016年长三角城市群26个城市人均生态足迹在时间序列上均呈上升趋势,空间分布格局变化不大,总体上呈周边高中间低的分布态势;人均GDP、城市化率、人口数量是生态足迹增长的主要驱动因子。
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| 关 键 词： | 生态足迹 时空动态 长三角城市群 驱动因子 |
| 收稿时间： | 2019-04-20 |
Spatial and temporal dynamics and driving factor analysis of ecological footprint of Yangtze River Delta urban agglomeration based on improved parameters |
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| WEN Yi, GAO Jun, YAO Yang, LIN Zhanglin. Spatial and temporal dynamics and driving factor analysis of ecological footprint of Yangtze River Delta urban agglomeration based on improved parameters[J]. Journal of Environmental Engineering Technology, 2020, 10(1): 133-141. doi: 10.12153/j.issn.1674-991X.20190061 |
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| Authors: | WEN Yi GAO Jun YAO Yang LIN Zhanglin |
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| Affiliation: | 1. School of Environmental and Geographical Sciences, Shanghai Normal University;2. Institute of Urban Studies, Shanghai Normal University;3. Cleaner Production and Circular Economy Research Center, Chinese Research Academy of Environmental Sciences;4. Post-doctoral Station of Business Administration, Fudan University |
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| Abstract: | Take the Yangtze River Delta urban agglomeration (YRDUA) as the research area, the parameters of ecological footprint model was modified based on “national hectare”. Then the time series and spatial distribution of per capita ecological footprint of 26 cities in the study area from 2006 to 2016 were discussed. Finally, three typical cities (Shanghai, Suzhou and Ma’anshan) were selected to discuss the main driving factors of ecological footprint change in terms of environment and economy. The results indicated that the per capita ecological footprint of 26 cities in YRDUA from 2006 to 2016 showed an upward trend in time series, the spatial distribution pattern had little change, and the distribution trend was generally high in the surrounding area and low in the middle. The per capita GDP, urbanization rate and population were the main driving factors of the growth of ecological footprint. |
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| Keywords: | secological footprint spatiotemporal dynamics Yangtze River Delta urban agglomeration (YRDUA) driving factors |
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