CN 11-5366/S     ISSN 1673-1530
"Landscape Architecture is more than a journal."
WU Yuan-xiang, LIU Xiao-guang, WU Bing, YUAN Xue-jiao. Regional Green Infrastructure Space Pattern Identification Based on[J]. Landscape Architecture, 2018, 25(1): 33-37.
Citation: WU Yuan-xiang, LIU Xiao-guang, WU Bing, YUAN Xue-jiao. Regional Green Infrastructure Space Pattern Identification Based on[J]. Landscape Architecture, 2018, 25(1): 33-37.

Regional Green Infrastructure Space Pattern Identification Based on

  • Under the high-density development land use patterns in China, it is difficult to achieve the self-balance of air purification relying on the limited green space inside the city. Green patches, water patches and other ecological patches around the city play an important role in providing clean air, dispelling air pollutants and regulating the urban climate. From the perspective of regulating urban air quality, taking Harbin as a study case, this paper proposes a method of urban green infrastructure spatial schema recognition and translation at the city scale based on the analysis platform of ArcGIS: 1) Basic identification: Relying on the local circumfluence theory, three types of spatial units of green infrastructure are identified according to the data of land cover and vegetation types. 2) Urban wind field analysis: through the meteorological statistics of typical months of the year and the wind field simulation based on CALMET software, the typical monthly wind environment map of Harbin is obtained. 3) Spatial schema translation: the role of green infrastructure in regulating urban air is analyzed according to the urban wind environment map to obtain the air conditioning spatial schema of GI. The research results can be used as the basis for the planning of urban green space system and the formulation of regional ecological protection strategies, and further application in the urban wind environment analysis and urban air duct planning.
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