CN 11-5366/S     ISSN 1673-1530
“风景园林,不只是一本期刊。”

基于植被群落特征的大型公共绿地环境效益制图方法

Mapping Method for Environmental Benefits of Large-Scale Public Green Space Based on Characteristics of Vegetation Community

  • 摘要: 大型公共绿地的环境效益是绿地作为人居环境绿色基础设施的重要价值,也是近年来绿地规划设计建设的研究重点之一。在植被群落尺度进行环境效益的制图分析技术是改善绿地环境效益的重要技术手段。然而,由于缺乏快速获取植被群落环境效益的手段和大型绿地环境效益空间映射方法框架,制图技术往往难以对场地设计层面进行深度指导并帮助决策优化。采用基于植被群落特征的环境效益评价方法,结合WorldView-3高分辨率遥感影像和地面激光雷达空间数据采集技术,提取绿地的植被类型分布和植被群落特征信息,进而评价碳封存、雨洪调蓄、空气净化、气候调节4个绿地环境效益目标,并进行了空间映射制图和分析。结果显示,基于植被群落特征的环境效益制图技术能够揭示大型公共绿地在植被群落尺度的环境效益空间分布特征,展现不同植物景观区环境效益的异质性。该方法为规划设计提供了更为详细的环境效益量化依据,为大型公共绿地植物景观的环境效益优化提供了高效实用的评价技术。

     

    Abstract: The environmental benefit of large-scale public green space is an important value of green space as green infrastructure of human settlements. The mapping analysis of environmental benefit is an important technical means to promote the environmental benefit of green space. However, due to the lack of means to quickly obtain the environmental benefits of vegetation communities and the framework of spatial mapping methods for the environmental benefits of large-scale public green space, it is often difficult to provide in-depth guidance on design and help decision-making optimization with existing mapping technologies. This research adopts an environmental benefit mapping method based on the characteristics of vegetation community, together with the WorldView-3 high-precision remote sensing image and ground Lidar spatial data acquisition technology, based on which extracts the vegetation community type distribution and vegetation community characteristics of green space, evaluates four green space benefit goals of carbon sequestration, stormwater regulation, air purification and climate regulation, and carries out spatial mapping and analysis. The research results show that the mapping technology for environmental benefits based on the characteristics of vegetation community can reveal the spatial distribution of environmental benefits of large-scale public green space at the vegetation community scale, show the heterogeneity of environmental benefits of different plant landscape areas, ensure highly efficient mapping and evaluation, provide a detailed basis for spatial identification and optimization of planning and design, and promote the improvement of environmental benefits of large-scale public green space.

     

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