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基于灰色模型的长江城市群生态足迹和生态承载力评价与预测。

Evaluation and Prediction of the Ecological Footprint and Ecological Carrying Capacity for Yangtze River Urban Agglomeration Based on the Grey Model.

机构信息

School of Management Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China.

Research Institute of Climatic and Environmental Governance, Nanjing University of Information Science & Technology, Nanjing 210044, China.

出版信息

Int J Environ Res Public Health. 2018 Nov 13;15(11):2543. doi: 10.3390/ijerph15112543.

Abstract

The conflict between economic development and environmental protection has become increasingly prominent in the urbanization process of the Yangtze River urban agglomeration, the most economically developed region in Jiangsu Province in China. In order to investigate the sustainable development status, and thus provide decision support for the sustainable development of this region, the ecological footprint model was utilized to evaluate and analyze the ecological footprint per capita, the ecological carrying capacity per capita, and the ecological deficit per capita for the period from 2013 to 2017. Furthermore, the Grey model is employed to predict the development trend of the ecological footprint for 2018 to 2022. The evaluation results show that the ecological footprint per capita has been increasing year by year since 2013, reaching a peak of 2.3897 hm² in 2015 before declining again. In the same period, the available ecological carrying capacity per capita and the ecological footprint per capita basically developed in the same direction, resulting in an ecological deficit per capita and gradually increasing from 2013 to a peak of 2.0303 hm² in 2015 before declining. It is also found that the change of ecological carrying capacity is not substantial, and the change of the ecological deficit is mainly caused by a huge change of the ecological footprint. The forecast results show that the ecological deficit per capita will reach 1.1713 hm² in 2018, which will be another deficit peak after 2015. However, in the later period until 2022, the ecological deficit per capita will begin to decline year by year. These results can provide effective inspirations for reducing the ecological deficit of the Yangtze River urban agglomeration, thus promoting the coordinated development of the economy and environment in this area.

摘要

长江城市群是中国江苏省经济最发达的地区,在其城市化进程中,经济发展与环境保护之间的矛盾日益突出。为了调查可持续发展状况,从而为该地区的可持续发展提供决策支持,利用生态足迹模型评估和分析了 2013 年至 2017 年期间的人均生态足迹、人均生态承载力和人均生态赤字。此外,采用灰色模型预测了 2018 年至 2022 年生态足迹的发展趋势。评价结果表明,2013 年以来,人均生态足迹逐年增加,2015 年达到 2.3897 hm²的峰值后再次下降。同期,人均有效生态承载力和人均生态足迹基本呈同向发展,导致人均生态赤字逐渐增加,从 2013 年到 2015 年达到 2.0303 hm²的峰值后再下降。还发现,生态承载力的变化不大,生态赤字的变化主要是由于生态足迹的巨大变化。预测结果表明,2018 年人均生态赤字将达到 1.1713 hm²,这将是 2015 年之后的又一个赤字高峰。然而,在后期直到 2022 年,人均生态赤字将开始逐年下降。这些结果可以为减少长江城市群的生态赤字提供有效的启示,从而促进该地区经济与环境的协调发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66be/6266492/a0ff735f4402/ijerph-15-02543-g001.jpg

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