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山地城市绿色基础设施网络的构建与优化:以中国福州为例

Construction and optimization of Green Infrastructure Network in mountainous cities: a case study of Fuzhou, China.

作者信息

Huang He, Fu Danling, Ding Guochang, Yan Chen, Xie Xiangcai, Gao Yaling, Liu Qunyue

机构信息

College of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.

National Center for Water Conservancy Scenic Area Research, Fuzhou, 350002, China.

出版信息

Sci Rep. 2024 May 24;14(1):11936. doi: 10.1038/s41598-024-57567-0.

Abstract

Green infrastructure networks enhance the protection and improvement of urban ecological environments, augment the efficiency and quality of ecosystem services, and furnish residents with healthier and more comfortable living conditions. Although previous research has investigated the construction or optimization methods of green infrastructure networks, these studies have been relatively isolated and lacking in case studies for mountainous cities. In the development of green infrastructure, mountainous cities must specifically consider the impact of terrain on network construction. Taking Fuzhou, a mountainous city in China, as an example, this study constructs and optimizes the green infrastructure network by employing morphological spatial pattern analysis, connectivity analysis, the Minimum Cumulative Resistance model, and circuit theory. These methodologies increase the connectivity of the Green Infrastructure within the study area, thereby promoting the health of the local ecosystem and creating conducive circumstances for the city's sustainable development. The findings reveal that: (1) Green infrastructure in Fuzhou takes up 5366.38 ha, constituting 21.76% of the study area, primarily situated in the northwest and south; (2) Fuzhou's Green Infrastructure network comprises 10 hubs and 17 corridors with a hub area of 1306.98 ha, predominantly distributed in the mountains encircling the city, including Meifeng Mountain, Gaogai Mountain, and Qingliang Mountain; (3) Based on optimization, the circuit centrality index categorizes hub importance into three protection levels, pinpointing nine crucial protected areas in the corridors and 680 areas requiring enhancement, including 68 areas for first-level improvement, 149 areas for second-level improvement, and 463 areas for third-level improvement. This research offers a methodological reference for constructing and optimizing green infrastructure networks in mountainous cities, providing both theoretical and practical foundations for optimizing green infrastructure networks in Fuzhou City.

摘要

绿色基础设施网络增强了城市生态环境的保护与改善,提高了生态系统服务的效率和质量,并为居民提供了更健康、舒适的生活条件。尽管先前的研究探讨了绿色基础设施网络的构建或优化方法,但这些研究相对孤立,且缺乏针对山地城市的案例研究。在绿色基础设施的发展中,山地城市必须特别考虑地形对网络建设的影响。以中国的山地城市福州为例,本研究运用形态空间格局分析、连通性分析、最小累积阻力模型和电路理论来构建和优化绿色基础设施网络。这些方法提高了研究区域内绿色基础设施的连通性,从而促进了当地生态系统的健康,并为城市的可持续发展创造了有利条件。研究结果表明:(1)福州的绿色基础设施占地5366.38公顷,占研究区域的21.76%,主要位于西北部和南部;(2)福州的绿色基础设施网络由10个枢纽和17条廊道组成,枢纽面积为1306.98公顷,主要分布在环绕城市的山脉中,包括梅峰山、高盖山和清凉山;(3)基于优化,电路中心性指数将枢纽重要性分为三个保护级别,确定了廊道中的9个关键保护区和680个需要改善的区域,包括68个一级改善区域、149个二级改善区域和463个三级改善区域。本研究为山地城市构建和优化绿色基础设施网络提供了方法参考,为福州市绿色基础设施网络的优化提供了理论和实践基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f76/11126408/99562eb40dd8/41598_2024_57567_Fig1_HTML.jpg

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