Comparative study of air quality indices in the European Union towards adopting a common air quality index

2020 ◽  
pp. 0958305X2092184
Author(s):  
Zissis Karavas ◽  
Vayos Karayannis ◽  
Konstantinos Moustakas

This study aims to compare air quality indices applied in European Union countries towards adopting a common air quality index. The urban European cities Rome, Madrid, Paris, London, Berlin, Warsaw, Stockholm, and Oslo were selected. Using the EEA AirBase air quality database, time series data for the major atmospheric pollutants (CO, NO2, SO2, O3, PM10, and PM2.5) were recovered for each city, for most recent years available. Daily averages, maximum hourly values and maximum 8-h averages were calculated for each pollutant. The air quality indices selected were BelAQI, DAQx, DAQI, AtmoIndex, AQIH, and CAQI. The daily value of each air quality indices and the corresponding dominant atmospheric pollutant were determined for each city. A two-stage normalization procedure was applied on air quality indices in a 0–1 range, to allow their direct comparison without altering their structure. All air quality indices exhibited air quality rates over 64% for all cities, thus below the European Union air quality standard. The dominant pollutant was NO2 for both BelAQI and DAQx; O3 for both DAQI and AQIH (with an exception for Warsaw where SO2 was the dominant pollutant). For CAQI, NO2 prevails in Berlin, London, Warsaw, Stockholm, and Oslo, while O3 prevails in Rome, Madrid, and Paris. The dominant pollutant for AtmoIndex was NO2 in Berlin, Warsaw, and Stockholm; O3 in Madrid, Paris, London, and Oslo; PM10 in Rome. A very strong positive statistical correlation ( p < 0.01) was found for all cities between BelAQI and CAQI, and also between CAQI and DAQx. A strong positive statistical correlation ( p < 0.01) was found for all cities between BelAQI and DAQx. A moderate positive correlation was shown between the following pairs of indices: AtmoIndex-DAQI, AtmoIndex-AQIH, DAQI-AQIH, BelAQI-AQIH, and AQIH-CAQI. On the contrary, a weak positive correlation was noticed between the following pairs of indices: BelAQI-DAQI, BelAQI-AtmoIndex, DAQX-DAQI, DAQx-AQIH, DAQI-CAQI, and CAQI-AtmoIndex. After the normalization process that enables the direct comparison of the air quality indices, the main results are the BelAQI presents the largest normalized median (range 0.33–0.5) implying the worst air quality compared to the other air quality indices. The CAQI has a median value of 0.33, the DAQx of 0.25, while the AtmoIndex a median value range of 0.125–0.375, and the DAQI and AQIH of 0.165–0.33. Concluding, the AQIH can be proposed as a common European Union air quality index because: firstly, its calculation comprises all significant atmospheric pollutants including PM2.5, thereby being harmonized with the Directive 2008/50/EC, and, secondly, AQIH does not display extremely low or high (normalized) values compared to the other air quality indices.

2021 ◽  
pp. 53-65
Author(s):  
I.N. KUZNETSOVA ◽  
◽  
YU. V. TKACHEVA ◽  
I. YU. SHALYGINA ◽  
E.A. LEZINA ◽  
...  

An overview of methods for calculating air quality indices (AQIs) widely used abroad to provide the population with information on air quality is presented. Foreign AQIs are used in available mobile applications, in interactive global display of air quality, including the territory of the Russian Federation. In Russia, AQI has not yet been used to inform the population. Taking into account the principles of grading the classes of foreign indices, a scheme for calculating the Russian variant of the index AQI-R using Russian air quality standards is proposed. The comparison of AQI based on the European Union scheme (AQI-EU) and AQI-R calculated from observations in Moscow showed that according to the EU scheme, the air quality assessment is stricter and more often indicates poor air quality. The differences in the estimates are associated with excessive requirements for the concentration of PM10 and PM2.5 in the AQI-EU. For the development and adoption of the national AQI, it is necessary to take into account Russian priorities in assessing air quality and regional features of air pollution.


2020 ◽  
Vol 211 ◽  
pp. 02014
Author(s):  
Davita Adryanti Felicia Sampe ◽  
Jessye Maria-Deanne Awuy ◽  
Trifena Krista Mustikaning Sekar ◽  
Samuel Febrian Wijaya ◽  
Alyssa Zahwa Ananda ◽  
...  

Indonesia needs an alternative air quality index considering that the ones currently in use were not precisely made for the environment and people’s genetic makeup in Indonesia. This study aims to determine if lichen can be used as an alternative index to assess Indonesia’s air quality by acting as a bioindicator. Lichen samples were taken at six locations, three in Gelora Bung Karno’s City Forest, Jakarta, and three at the Universitas Indonesia’s city forest, Depok. Lichens are identified according to the chemical test results and identification key. The amount of lichen obtained is calculated and converted into a NAQI chart to determine if the site’s status is clean air, at-risk, N-polluted, or very N-polluted location. Two of them are polluted by nitrogen from seven sampling areas, while the other five are heavily polluted. This data shows the air quality in all areas is insufficient and polluted. However, our findings are contradictory to nitrogen pollutant data from Meteorology Climatology and Geophysics Council (BMKG). Thus, in the future, there should be a calibrator when measuring air quality analysis using lichen.


Author(s):  
Yuheng Wu ◽  
Lin Zhang ◽  
Jilong Wang ◽  
Yi Mou

Air Quality Index (AQI) is information about atmospheric pollutants, which is essential for governments to inform the public about the current air quality and potential health risks. By analyzing the AQIs from 11 countries (regions), we discovered considerable variations in the design of AQI information, which may open up room for unintended interpretation from the public. Therefore, as an attempt to address the inefficiency of some common styles of AQI information in promoting the public’s precaution against bad air and better design such information, an online experiment with a 2 (descriptor: neutral vs. negatively valenced) × 2 (target groups in AQI warning messages: vague vs. specific) factorial design was conducted to test the effects of such information on individuals’ risk perception and precaution intention. The results indicated that AQI information with a neutral descriptor was associated with lower self-risk perception and precaution intention levels than with a negatively valenced one. Among the individuals not included in the at-risk groups, those who read the warning messages with vague target groups had a higher third-person perception toward smog risk than those targeting specific population groups. Practical and theoretical implications are discussed.


2019 ◽  
Vol 7 (3) ◽  
pp. 961-966
Author(s):  
Harshita Raj ◽  
Suhasini Vijaykumar

Urban Climate ◽  
2021 ◽  
Vol 36 ◽  
pp. 100789
Author(s):  
Niladri Das ◽  
Subhasish Sutradhar ◽  
Ranajit Ghosh ◽  
Prolay Mondal

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