Hongxuan Zhou

Hongxuan Zhou

orcid

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2022 in Building and Environment
Verified
Journal Article
Closed access
HZHongxuan Zhou
Hongxuan Zhou
GTGuixin Tao
Guixin Tao
YNYanxia Nie
Yanxia Nie
XYXinye Yan
Xinye Yan
JSJing Sun
Jing Sun

1 December 2021 in Urban Forestry & Urban Greening
Verified
Journal Article
Closed access
HZHongxuan Zhou
Hongxuan Zhou
GTGuixin Tao
Guixin Tao
XYXinye Yan
Xinye Yan
JSJing Sun
Jing Sun

1 November 2017 in Building and Environment
Verified
Journal Article
Closed access
HZHongxuan Zhou
Hongxuan Zhou
JCJiang Chang
Jiang Chang
JSJing Sun
Jing Sun
CSChenwei Shang
Chenwei Shang
FHFengsen Han
Fengsen Han
DHDan Hu
Dan Hu

23 August 2018 in International Journal of Climatology
Verified
Journal Article
Open access
PDF file
YLYuanzheng Li
Yuanzheng Li
LWLan Wang
Lan Wang
HZHongxuan Zhou
Hongxuan Zhou
GZGuosong Zhao
Guosong Zhao
Feng LingFeng Ling
Feng Ling
JQJuan Qiu
Juan Qiu
This study endeavoured to accurately estimate the effects of urbanization on changes in temperatures during 1977–2014 throughout China. To this end, we (a) classified the stations using improved standards, (b) homogenized the mean minimum (Tmin), mean maximum (Tmax), and mean temperature (Tm) data series, (c) identified regions with different temperature trends based on the modified methodology, and analysed the regional changes in the background rural temperatures, (d) explored the relationships between the temperature trend effects of urbanization and the three indices of the urbanization intensity, and (a) calculated the contribution from urbanization on the regional scale. The results indicated the following: (a) After homogenization, several adjustment amplitudes were larger than 1 °C, the maximum value of which reached 7.84 °C. (b) China was divided into six regions with different rural temperature trends. Rural temperatures significantly increased throughout China with annual Tmin, Tmax and Tm changing rates of 0.424, 0.339, and 0.352 °C/decade, respectively. Throughout all of China, the maximum rates for Tmax, Tmin, and Tm occurred during the spring and the minimum rates for Tmax and Tm occurred during the summer, while that for Tmin was slightly lower in the winter than during the summer. (c) Significant correlations did not always exist between the urbanization‐contributed temperature‐changing rates and the indices of urbanization intensity, and the correlation coefficients varied under different conditions. These values were both positive and negative. The changes in the areas of the built‐up regions constituted the best correlation factors. (d) The percentages of the contributions of urbanization to the mean annual Tmin, Tmax, and Tm were −0.08, 0.21, and −0.09%, respectively. These results are beneficial for understanding the effects of urbanization on regional or global climate change to some extent.

28 December 2022 in Sustainable Cities and Society
Verified
Journal Article
Closed access
HZHongxuan Zhou
Hongxuan Zhou
CXChen Xu
Chen Xu
HPHongtong Pu
Hongtong Pu
YNYanxia Nie
Yanxia Nie
JSJing Sun
Jing Sun

23 May 2017 in Journal of Plant Research
Verified
Journal Article
Closed access
PDF file
FHFengsen Han
Fengsen Han
XWXiaolin Wang
Xiaolin Wang
HZHongxuan Zhou
Hongxuan Zhou
YLYuanzheng Li
Yuanzheng Li
DHDan Hu
Dan Hu