TY - JOUR
T1 - Assessing spatial pattern of urban thermal environment in Shanghai, China
AU - Yue, Wenze
AU - Liu, Yong
AU - Fan, Peilei
AU - Ye, Xinyue
AU - Wu, Cifang
N1 - Funding Information:
We acknowledge the project supported by Zhejiang Provincial Natural Science Foundation of China (Y5110009), the National Natural Science Foundation of China (NNSFC) (41101568), the National Aeronautics and Space Administration (NASA)’s Land Cover and Land Use Program through the grant to Michigan State University (NNX09AI32G), Zhi-Jiang Young Scholars Program through Zhejiang Philosophy and Social Science Planning Project (11ZJQN042YB), Qian-Jiang Talent Program (C), and the Fundamental Research Funds for the Central Universities (2012XZZX012). Any opinions, findings, and conclusions or recommendations expressed in this paper are those of the authors and do not necessarily reflect the views of NNSFC or NASA.
PY - 2012/10
Y1 - 2012/10
N2 - The aggravating urban thermal environment has considerable adverse effects on urban physical environment, energy consumption, and public health. Due to the complexity of factors contributing to the urban thermal environment, traditional statistical methods are insufficient for acquiring data and analyzing the impacts of human activities on the thermal environment, especially for identifying dominant factors. Based on thermal remote sensing imageries and Geographic Information System analysis, we assessed spatial pattern of urban thermal environment in Shanghai in 2008, and analyzed the factors contributing to the generation of urban heat island (UHI) using principal component analysis (PCA). We found that Shanghai had obvious UHI with uneven spatial pattern in 2008. Further, we identified three most important components leading to the variances of Shanghai's UHI: the gradient from man-made to natural land cover, landscape configuration, and anthropogenic heat release. A linear model has thus been successfully constructed, implying that PCA is helpful in identifying major contributors to UHI. The findings are of significance for policy implication to urban thermal environment mitigation.
AB - The aggravating urban thermal environment has considerable adverse effects on urban physical environment, energy consumption, and public health. Due to the complexity of factors contributing to the urban thermal environment, traditional statistical methods are insufficient for acquiring data and analyzing the impacts of human activities on the thermal environment, especially for identifying dominant factors. Based on thermal remote sensing imageries and Geographic Information System analysis, we assessed spatial pattern of urban thermal environment in Shanghai in 2008, and analyzed the factors contributing to the generation of urban heat island (UHI) using principal component analysis (PCA). We found that Shanghai had obvious UHI with uneven spatial pattern in 2008. Further, we identified three most important components leading to the variances of Shanghai's UHI: the gradient from man-made to natural land cover, landscape configuration, and anthropogenic heat release. A linear model has thus been successfully constructed, implying that PCA is helpful in identifying major contributors to UHI. The findings are of significance for policy implication to urban thermal environment mitigation.
KW - Human activities
KW - Principal components analysis
KW - Shanghai
KW - Urban heat island
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U2 - 10.1007/s00477-012-0638-1
DO - 10.1007/s00477-012-0638-1
M3 - Article
AN - SCOPUS:84866466708
SN - 1436-3240
VL - 26
SP - 899
EP - 911
JO - Stochastic Environmental Research and Risk Assessment
JF - Stochastic Environmental Research and Risk Assessment
IS - 7
ER -