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|Title:||Characteristics of public concern on haze in China and its relationship with air quality in urban areas|
|Citation:||Science of the Total Environment, 2018; 637-638:1597-1606|
|Yaling Lu, Yuan Wang, Jian Zuo, Hongqiang Jiang, Dacang Huang, Raufdeen Rameezdeen|
|Abstract:||Severe air pollution associated with the rapid urbanization is a pressing issue in China. Moreover, the public awareness of environmental protection in China is awakening, which poses enormous pressure on governments to enforce environmental regulations. The study of environmental problems from the public perspective plays a crucial role in effective environmental governance. The Baidu search engine is the China's largest search engine. The search index of haze based on Baidu search engine reflects the public concern on air quality in China. The aim of this study is to uncover important relationships between public concern and air quality monitoring data based on the case study of haze pollution crisis in China. The results indicate that: (1) the year 2013 is the turning point of the public concern on air quality in China; (2) according to daily data analysis, the search index of haze has increased progressively with increased PM2.5 concentration with a time lag of 0-4 days and the lag time has a declining tendency from 2013 to 2017; (3) according to annual data analysis, the public concern showed a weak correlation with air quality and they showed an opposite temporal trend. However, when the long-term annual trend was removed, the strong positive correlation emerges between the fluctuation parts of the search index of haze and monitoring data of air quality. This indicates the public is more sensitive to the short-term fluctuation of air quality. The results of this paper provide statistical evidence on the evolution of public concern on air quality from 2013 to 2017. This study will help policy makers to better understand the patterns of the public's perception of environmental problems and consequently improve the government's capability to deal with these challenges.|
|Keywords:||PM₂.₅; air pollution; haze concern; lag correlation analysis; detrending analysis|
|Rights:||© 2018 Elsevier B.V. All rights reserved.|
|Appears in Collections:||Architecture publications|
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