Characteristics of public concern on haze in China and its relationship with air quality in urban areas

被引:99
作者
Lu, Yaling [1 ,3 ]
Wang, Yuan [1 ]
Zuo, Jian [2 ]
Jiang, Hongqiang [3 ]
Huang, Dacang [4 ]
Rameezdeen, Raufdeen [5 ]
机构
[1] Tianjin Univ, China Australia Ctr Sustainable Urban Dev, Sch Environm Sci & Engn, Tianjin, Peoples R China
[2] Univ Adelaide, Sch Architecture & Built Environm, ECIC, Adelaide, SA 5005, Australia
[3] Chinese Acad Environm Planning, State Environm Protect Key Lab Environm Planning, Beijing, Peoples R China
[4] Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resource Res, Beijing, Peoples R China
[5] Univ South Australia, Sch Nat & Built Environm, Adelaide, SA 5000, Australia
基金
中国国家自然科学基金;
关键词
PM2.5; Air pollution; Haze concern; Lag correlation analysis; Detrending analysis; WILLINGNESS-TO-PAY; UNITED-STATES; BIG DATA; CHEMICAL CHARACTERISTICS; PARTICULATE MATTER; ANNOYANCE SCORES; POLLUTION; PM2.5; PERCEPTION; POLLUTANTS;
D O I
10.1016/j.scitotenv.2018.04.382
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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 qualitymonitoring 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 andmonitoring data of air quality. This indicates the public ismore sensitive to the short-termfluctuation of air quality. The results of this paper provide statistical evidence on the evolution of public concern on air quality from2013 to 2017. This study will help policymakers to better understand the patterns of the public's perception of environmental problems and consequently improve the government's capability to dealwith these challenges. (C) 2018 Elsevier B.V. All rights reserved.
引用
收藏
页码:1597 / 1606
页数:10
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