[1]GOU Ruikun,ZHAO Xuan,BU Yuankun,et al.Dynamic Study on the Heat Island Effect and Landscape Pattern in Urban Area of Hangzhou[J].Research of Soil and Water Conservation,2019,26(01):316-322,329.
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Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
26
Number of periods:
2019 01
Page number:
316-322,329
Column:
Public date:
2019-02-28
- Title:
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Dynamic Study on the Heat Island Effect and Landscape Pattern in Urban Area of Hangzhou
- Author(s):
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GOU Ruikun1, ZHAO Xuan2, BU Yuankun1, GAO Ting1, ZHAO Pengxiang1
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1. College of Forestry, Northwest A & F University, Yangling, Shaanxi 712100, China;
2. College of Landscape Architecture and Arts, Northwest A & F University, Yangling, Shaanxi 712100, China
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- Keywords:
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remote sensing; heat island effect; landscape pattern; multivariate linear regression model
- CLC:
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X87;TP79
- DOI:
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- Abstract:
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The urban area of Hangzhou was taken as the research object. The information sources mentioned in this study was from Landsat-5 and Landsat-8 satellite remote sensing data in 1992, 2004 and 2015. The single-window algorithm was used to retrieve the surface temperature of the third phase urban area. The landscape pattern index was calculated by retrieving land use types. And then the impact of urban landscape pattern on surface was analyzed with multiple linear regression model. The results showed that:(1) during the study period, there was an obvious heat island effect in urban area of Hangzhou, with high temperature area expanding and dispersing; (2) multiple linear regression model could well describe the quantitative relationship between landscape pattern and surface temperature; among those variables, the landscape pattern indices PLAND, ED, LSI and AI had higher correlation rates with the surface temperature, reaching up to 0.753, 0.771, 0.779 and 0.772, respectively; the area index, shape index, edge index and aggregation index of landscape influenced the intensity of the heat island effect in Hangzhou; (3) in the process of urbanization, the heat island effect should be alleviated by increasing the area of green landscape, choosing the right plant species, forming intensive green area, dividing urban area, improving the stereoscopic degree of the existing green landscape, and building a more complex green space ecological network system, which will contribute to achieve to goal of improving the living environment.