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城市群可持续承载能力的共轭评价与多情景政策调控。

Conjugate evaluation of sustainable carrying capacity of urban agglomeration and multi-scenario policy regulation.

机构信息

College of Resources and Environmental Science, Xinjiang University, Urumqi 830046, China; Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China.

College of Resources and Environmental Science, Xinjiang University, Urumqi 830046, China; Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.

出版信息

Sci Total Environ. 2021 Sep 1;785:147373. doi: 10.1016/j.scitotenv.2021.147373. Epub 2021 Apr 28.

Abstract

The scientific evaluation of carrying capacity and the formulation of adaptive regulation policies are powerful ways to achieve sustainable development goals. In order to quantitatively and accurately diagnose the sustainable development state of urban agglomeration, this paper responds to the "Future Earth" framework; takes the carrying capacity as the breakthrough point; embeds the conjugate thought; considers the elements of the resources, the environment, the ecology, and the development; and establishes the conjugate evaluation model and the evaluation index system of sustainable carrying capacity. In order to solve the actual bottleneck problem of urban agglomeration, this work identifies the key obstacle factors, constructs the multi-scenario dynamic coupling (MSDC) model, recognizes the sensitivity policies, and proposes the adaptive regulation polices. Taking the urban agglomeration on the northern slope of the Tianshan Mountains (UANSTM) in arid areas as a case study, it was found that from 2007 to 2017, the carrying capacity gradually increased, and the sustainable development showed a benign transformation trend in the UANSTM. It will also be in a transitional stage of growth from now to 2035, and the steady development of the economy and the society and the good maintenance of the resources, the environment and the ecology are equally important. The policies on population intervention and on the management of water resources play a vital role, and the speed of economic development should be controlled throughout the whole process. The study confirms that the effective regulation is necessary for the sustainable development of the urban agglomeration in the future, and the key lies in improving technological progress and governance policy support. It is expected that this new and complete research framework for the conjugate evaluation of the sustainable carrying capacity of urban agglomeration and multi-scenario policy regulation can be applied to other regions or urban agglomerations in developing countries and can make a possible breakthrough in promoting the theoretical exploration and practice of sustainable development.

摘要

科学评估承载能力并制定适应性调节政策是实现可持续发展目标的有力手段。为了定量准确地诊断城市群的可持续发展状态,本文响应“未来地球”框架;以承载能力为突破口;嵌入共轭思想;考虑资源、环境、生态和发展要素;建立了可持续承载能力共轭评价模型和评价指标体系。为了解决城市群的实际瓶颈问题,本工作确定了关键障碍因素,构建了多情景动态耦合(MSDC)模型,识别了敏感政策,并提出了适应性调节政策。以干旱区天山北坡城市群(UANSTM)为例,研究发现,2007 年至 2017 年,承载能力逐渐提高,UANSTM 的可持续发展呈现良性转变趋势。从现在到 2035 年,它也将处于增长的过渡阶段,经济和社会的稳定发展以及资源、环境和生态的良好维护同等重要。人口干预政策和水资源管理政策起着至关重要的作用,应在整个过程中控制经济发展速度。研究证实,未来城市群的可持续发展需要有效的调节,关键在于提高技术进步和治理政策支持。预计这种城市群可持续承载能力共轭评价与多情景政策调节的全新完整研究框架可以应用于其他发展中国家的地区或城市群,在推动可持续发展的理论探索和实践方面可能取得突破。

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