Global climate change: Impact of diurnal temperature range on mortality in Guangzhou, China

Yang, Jun; Liu, Hua Zhang; Ou, Chun Quan; Lin, Guo; Zhou, Qin; Shen, Gi Chuan; Chen, Ping Yan; Guo, Yuming

doi:10.1016/j.envpol.2012.12.021

Cited by 152 publications

(112 citation statements)

References 30 publications

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“…Our findings were consistent with previous studies, which suggested that females have an elevated mortality risk in hot weather (Li et al, 2014b;Yang et al, 2013;Yang et al, 2012). Consistently, an experimental study also reported that females may be more heat intolerant than males (Druyan et al, 2012), which may be due to the gender-related occupational exposure, physiological and thermoregulatory differences (Druyan et al, 2012;Racine et al, 2012).…”

Section: Discussionsupporting

confidence: 93%

The effect of ambient temperature on diabetes mortality in China: A multi-city time series study

Yang

Yin

Zhou

et al. 2016

Science of The Total Environment

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Section: Discussionsupporting

confidence: 93%

The effect of ambient temperature on diabetes mortality in China: A multi-city time series study

Yang

Yin

Zhou

et al. 2016

Science of The Total Environment

Self Cite

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“…Generally, the magnitudes of our estimates for DTR are lower than previous single-city analyses in China. For example, in Guangzhou, an increase of 1°C of 5-day moving average of DTR corresponds to 0.47%, 0.75% and 0.76% increase in total, cardiovascular and respiratory mortality, respectively (Yang et al, 2013). In Shanghai, a 1°C increment of DTR (lag 02) corresponded to a 1.37% increase in total mortality, a 1.86% increase in cardiovascular mortality, and a 1.29% increase in respiratory mortality (Kan et al, 2007).…”

Section: Discussionmentioning

confidence: 98%

“…Previously, higher DTR was found to be a potential trigger for daily mortality in some Chinese cities, including Shanghai (Kan et al, 2007), Guangzhou (Luo et al, 2013;Yang et al, 2013), Taiwan (Liang et al, 2009), and Hong Kong (Tam et al, 2009). However, these singlecity studies adopted different study designs and model specifications, limiting the ability to compare the results across cities.…”

Section: Introductionmentioning

confidence: 94%

Acute effects of diurnal temperature range on mortality in 8 Chinese cities

Zhou

Zhao

Meng

et al. 2014

Science of The Total Environment

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“…As one of the fastest growing cities in China, Guangzhou has become a typical industrial city, with a high intensity of economic activities causing serious urban environmental problems, including suburban underlying surface anomalies [36,37].…”

Section: Study Area and Data Collectionmentioning

confidence: 99%

Pixel-Wise vs. Object-Based Impervious Surface Analysis from Remote Sensing: Correlations with Land Surface Temperature and Population Density

Wei

Blaschke

2018

Urban Science

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Impervious surface areas (ISA) are heavily influenced by urban structure and related structural features. We examined the effects of object-based impervious surface spatial pattern analysis on land surface temperature and population density in Guangzhou, China, in comparison to classic per-pixel analyses. An object-based support vector machine (SVM) and a linear spectral mixture analysis (LSMA) were integrated to estimate ISA fraction using images from the Chinese HJ-1B satellite for 2009 to 2011. The results revealed that the integrated object-based SVM-LSMA algorithm outperformed the traditional pixel-wise LSMA algorithm in classifying ISA fraction. More specifically, the object-based ISA spatial patterns extracted were more suitable than pixel-wise patterns for urban heat island (UHI) studies, in which the UHI areas (landscape surface temperature >37 • C) generally feature high ISA fraction values (ISA fraction >50%). In addition, the object-based spatial patterns enable us to quantify the relationship of ISA with population density (correlation coefficient >0.2 in general), with global human settlement density (correlation coefficient >0.2), and with night-time light map (correlation coefficient >0.4), and, whereas pixel-wise ISA did not yield significant correlations. These results indicate that object-based spatial patterns have a high potential for UHI detection and urbanization monitoring. Planning measures that aim to reduce the urbanization impacts and UHI intensities can be better supported.

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Global climate change: Impact of diurnal temperature range on mortality in Guangzhou, China

Cited by 152 publications

References 30 publications

The effect of ambient temperature on diabetes mortality in China: A multi-city time series study

The effect of ambient temperature on diabetes mortality in China: A multi-city time series study

Acute effects of diurnal temperature range on mortality in 8 Chinese cities

Pixel-Wise vs. Object-Based Impervious Surface Analysis from Remote Sensing: Correlations with Land Surface Temperature and Population Density

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