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Proceedings of the 2nd International Conference on Engineering Management and Information Science, EMIS 2023, February 24-26, 2023, Chengdu, China

Research Article

Optimization of Urban Green Space Landscape Pattern and 3D Numerical Simulation

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  • @INPROCEEDINGS{10.4108/eai.24-2-2023.2330629,
        author={Honglei  Wang and Zhihong  Wang},
        title={Optimization of Urban Green Space Landscape Pattern and 3D Numerical Simulation},
        proceedings={Proceedings of the 2nd International Conference on Engineering Management and Information Science, EMIS 2023, February 24-26, 2023, Chengdu, China},
        publisher={EAI},
        proceedings_a={EMIS},
        year={2023},
        month={6},
        keywords={urban green space; optimization of landscape pattern; three-dimensional numerical simulation},
        doi={10.4108/eai.24-2-2023.2330629}
    }
    
  • Honglei Wang
    Zhihong Wang
    Year: 2023
    Optimization of Urban Green Space Landscape Pattern and 3D Numerical Simulation
    EMIS
    EAI
    DOI: 10.4108/eai.24-2-2023.2330629
Honglei Wang1, Zhihong Wang2,*
  • 1: Jinan Landscape and Forestry Science Research Institute
  • 2: Shandong Agriculture and Engineering University
*Contact email: wxt0819@163.com

Abstract

In order to maintain the urban ecological function, improve the urban ecological environment and realize the sustainable development of the city, this paper puts forward an optimization scheme for the landscape pattern of urban green space, and carries out three-dimensional numerical simulation. On the basis of considering the types of urban residential land and the spatial distribution of population, based on QuickBird satellite remote sensing data and GIS spatial analysis technology, this study quantitatively characterized and simulated the optimal pattern of green space in the study area by using the population weight model, and quantitatively analyzed and evaluated the optimal results of green space pattern by combining buffer analysis method. In the optimized scheme, the population of urban park green space increased by 104.7% when the area of urban park green space increased by 39.9%. It can be seen that through optimization, a smaller green space area can be used to bring into play a larger green space benefit.

Keywords
urban green space; optimization of landscape pattern; three-dimensional numerical simulation
Published
2023-06-15
Publisher
EAI
http://dx.doi.org/10.4108/eai.24-2-2023.2330629
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