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Study on influencing factors and influencing strength of urban green space relieving heat island effect—taking Beijing as an example
Author(s) -
Chao Jing,
Shilong Li,
Shuo Cao,
Xiaoyan Ma
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/601/1/012033
Subject(s) - urban heat island , beijing , intensity (physics) , hectare , urbanization , space (punctuation) , environmental science , urban green space , vegetation (pathology) , physical geography , geography , meteorology , ecology , china , physics , agriculture , computer science , medicine , archaeology , pathology , quantum mechanics , biology , operating system
With the acceleration of urbanization, the urban heat island effect has brought a significant impact on the urban environment, and the urban green space can effectively alleviate the heat island effect, but the specific influence intensity is yet to be further studied [1]. In this study, 65 urban green spaces of different sizes and different types within Fifth Ring Road of Beijing were selected through big data analysis to explore the effects of different influence factors such as area, perimeter, shape index and vegetation coverage on its internal temperature, and then the influence intensity of urban green space on heat island effect were studied and analyzed. The results show that: 1) when the green space area is 1-10 hectares, the average temperature inside the green space will decrease with the increase of the area, and the temperature will decrease by about 0.1 °C for each increase of 1 hectare; when the area is larger than 10 hectares, the average temperature inside the green space will basically not change; 2) the internal temperature of green space does not change with the perimeter and shape index of green space; 3) when the green space area is equal, the internal temperature of the green space will decrease about 0.158 °C when the vegetation coverage increases by 1% (i.e., there is a negative correlation between the green space vegetation coverage and the internal temperature).

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