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Proceedings Paper

Weekend effect of temperature variation in the Yangtze River delta of China
Author(s): Li Ma; Zhihong Jiang; Chunfeng Duan; Qilong Miao; Yong Wang
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Paper Abstract

Study is performed of the weekly cycle of temperature indices (its diurnal range, mean, maximum and minimum) as well as cloudiness, solar radiation and air pollution index based on 1996-2005 surface observations and air pollution indexes from four big cities over the Yangtze River Delta of China. Results suggest that these temperature variations are featured by significant weekend effect (WE) in that these temperatures are higher at weekends than on workdays in summer as opposed to those in other seasons; the WE of diurnal maximum and minimum temperatures is much bigger at weekends and can be utilized as the WE index; during the long spell of holidays or festivities in China WE is remarkable, and especially in the Spring Festival and National Day holidays these temperatures are smaller compared to those 7 day before and after as opposed to the values during, and 7 days before/after, the May Day holidays; the temperature WE bears a close relation to aerosol concentration thanks to anthropogenic activities; in summer the indirect impacts of aerosols (aerosol - cloud interactions) due to abundant vapor play a dominant role and at weekends little aerosol is responsible for reduced cloudiness, allowing more solar radiation to strike the ground for the rise in all the temperatures; in the other seasons the direct and semi-direct effect of aerosol plays a predominant part, with the concentration of aerosols declining at weekends for reducing its ability to heat air and increasing cloudiness, thus leading to the decrease in all the temperature elements.

Paper Details

Date Published: 9 April 2009
PDF: 11 pages
Proc. SPIE 7295, Health Monitoring of Structural and Biological Systems 2009, 72952R (9 April 2009); doi: 10.1117/12.817503
Show Author Affiliations
Li Ma, Nanjing Univ. of Information Science & Technology (China)
Zhihong Jiang, Nanjing Univ. of Information Science & Technology (China)
Chunfeng Duan, Nanjing Univ. of Information Science & Technology (China)
Qilong Miao, Nanjing Univ. of Information Science & Technology (China)
Yong Wang, Nanjing Univ. of Information Science & Technology (China)


Published in SPIE Proceedings Vol. 7295:
Health Monitoring of Structural and Biological Systems 2009
Tribikram Kundu, Editor(s)

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