PM10-bound trace elements in pan-European urban atmosphere
Xiansheng LiuXun ZhangTao WangBowen JinLijie WuRosa LaraMarta MongeCristina RecheJean‐Luc JaffrezoGaëlle UzuPamela DominuttiSophie DarfeuilOlivier FavezSébastien ConilNicolas MarchandSonia CastilloJesús de la RosaStuart K. GrangeKonstantinos EleftheriadisEvangelia DiapouliMaria I. GiniS. NavaCélia AlvesXianxia WangYiming XuDavid C. GreenDavid C. S. BeddowsRoy M. HarrisonAndrés AlástueyXavier Querol
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Although many studies have discussed the impact of Europe's air quality, very limited research focused on the detailed phenomenology of ambient trace elements (TEs) in PMKeywords:
TRACE (psycholinguistics)
Trace gas
This study explored the relationship between the actual level of air pollution and residents’ concern about air pollution. The actual air pollution level was measured by the air quality index (AQI) reported by environmental monitoring stations, while residents’ concern about air pollution was reflected by the Baidu index using the Internet search engine keywords “Shanghai air quality”. On the basis of the daily data of 2068 days for the city of Shanghai in China over the period between 2 December 2013 and 31 July 2019, a vector autoregression (VAR) model was built for empirical analysis. Estimation results provided three interesting findings. (1) Local residents perceived the deprivation of air quality and expressed their concern on air pollution quickly, within the day on which the air quality index rose. (2) A decline in air quality in another major city, such as Beijing, also raised the concern of Shanghai residents about local air quality. (3) A rise in Shanghai residents’ concern had a beneficial impact on air quality improvement. This study implied that people really cared much about local air quality, and it was beneficial to inform more residents about the situation of local air quality and the risks associated with air pollution.
Air Pollution Index
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The air quality in Taiwan, at present, is determined by a pollution standard index (PSI) that is applied to areas of possible serious air pollution and Air Quality Total Quantity Control Districts (AQTQCD). Many studies, both in Taiwan and in other countries have examined the characteristics and levels of air pollution with PSI. This study uses air quality data collected from eight automatic air quality monitoring stations in an AQTQCD in central Taiwan and discusses the correlation between air quality variables with statistical analysis in an attempt to accurately reflect the difference of air quality observed by each monitoring station as well as to establish an air quality classification system suitable for the whole Taiwan. After using factor analysis (FA), seven air pollutants are grouped into three factors: organic, photochemical, and fuel. These three factors are the dominant ones in regards to the air quality of central Taiwan. Cluster analysis is used to classify air quality in central Taiwan into five clusters to present different characteristics and pollution degrees of air quality. This research results should serve as a reference for those involved in the review of air quality management effectiveness and/or the enactment of management control strategies.
Air monitoring
Statistical Analysis
Air Pollution Index
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The compositions and characteristics of the atmospheric trace gas are analyzed. It presents the detection mode and its merit or demerit of trace gas. It introduces the design principles, work modes, spectral band setting and main specifications of foreign advance atmospheric trace gas detecting instruments. It also specified that the development status of domestic instruments evolves from technology target to concept design. It points out the future development trend of this kind of instrument.
TRACE (psycholinguistics)
Trace gas
Atmospheric Composition
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