Construction of urban wetland ecological landscape planning model based on MSPA analysis method

The traditional method does not accurately select the ecological landscape pattern index of urban wetland, which leads to the problems of low accuracy and long planning time, in order to solve this problem, an urban wetland ecological landscape planning model based on MSPA analysis method is constru...

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Bibliographic Details
Published inJournal of environmental engineering and landscape management Vol. 30; no. 4; pp. 500 - 507
Main Authors Sun, Shengnan, Li, Shan, Tang, Jiefang, Su, Jinle
Format Journal Article
LanguageEnglish
Published Vilnius Vilnius Gediminas Technical University 06.12.2022
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Summary:The traditional method does not accurately select the ecological landscape pattern index of urban wetland, which leads to the problems of low accuracy and long planning time, in order to solve this problem, an urban wetland ecological landscape planning model based on MSPA analysis method is constructed. By analyzing the basic components of urban wetland ecological landscape, such as patch density, aggregation index, dispersion index, average fractal dimension, landscape segmentation, shape index, spread index and Shannon diversity index, MSPA analysis method is used to extract the core area, patch area and ring of urban wetland. According to the extraction results, the minimum function of cloud fusion transformation of three-dimensional wetland ecological landscape is calculated, and the function is used to calculate the three-dimensional translation transformation amount and rotation matrix of three-dimensional wetland ecological landscape model. The data in the three-dimensional model are used for wetland ecological landscape planning, so as to complete the construction of wetland ecological landscape planning model. The simulation results show that the urban wetland ecological landscape planning accuracy of the model is high and the planning time is short.
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content type line 14
ISSN:1648-6897
1822-4199
DOI:10.3846/jeelm.2022.18056