scholarly journals Investigation of Air Quality Index and PM10 and PM2.5 in Arak

2013 ◽  
Vol 1 (3) ◽  
pp. 12-17 ◽  
Author(s):  
Fatemeh Fazelinia ◽  
Ali Akbar Khodabandehlou ◽  
Lida Rafati ◽  
Amir Hossein Mahvi ◽  
◽  
...  
Keyword(s):  
Air Quality ◽  
Quality Index ◽  
Air Quality Index ◽  
Pm10 And Pm2.5

scholarly journals Analysis of Air Quality Index Distribution of PM10 and PM2.5 Concentrations in Ambient Air of Al-Hillah City, Iraq

2021 ◽  
Vol 1058 (1) ◽  
pp. 012014
Author(s):  
Ruqayah Ali Grmasha ◽  
Shahla N. A. Al-Azzawi ◽  
Osamah J. Al-sareji ◽  
Talal Alardhi ◽  
Mawada Abdellatif ◽  
...  
Keyword(s):  
Air Quality ◽  
Quality Index ◽  
Ambient Air ◽  
Air Quality Index ◽  
Pm10 And Pm2.5 ◽  
Index Distribution

scholarly journals Assessment of AIR Quality Index for Delhi region: A comparison between odd-even policy 2019 and Lock Down Period.

2021 ◽  
Author(s):  
Chesta Dhingra
Keyword(s):  
Air Quality ◽  
Wind Speed ◽  
Ambient Temperature ◽  
Quality Index ◽  
Winter Season ◽  
Air Quality Index ◽  
Machine Learning Algorithms ◽  
Accurate Estimation ◽  
Pm10 And Pm2.5 ◽  
The Impact

The aim behind doing this research is to analyse the impact of odd-even policy andlockdown implementation on the air quality index of Delhi by doing the case study on the fourregions Ashok Vihar, Anand Vihar, Dwarka and R.K. Puram. The data is been collected fromDPCC and the main parameters we looked for are PM10 and PM2.5. In which we find out that.highest levels of the pollutants PM10 and PM2.5 been observed during the time of odd-evenpolicy implementation for the year 2019 (04 November 2019- 15 November 2019) whereasduring the lockdown period (23 March 2020-31st August 2020) a great decline in pollutantlevels is been detected. This we further try to correlate with the spatial variations of Delhiregion and able to discern that meteorological parameters (Ambient Temperature, RelativeHumidity, Wind Speed and Solar Radiations) in respect with seasonal variations have a majorinfluence on PM 10 and PM 2.5 levels. During the winter season both the parameters PM10& PM2.5 are touching the peak because of the impact of three major meteorological parametersAmbient Temperature, Wind Speed and Solar Radiation and during the monsoon season airquality conditions are quite favourable because of Ambient Temperature and Wind Speedparameters. In the end we use the ensembled machine learning algorithms like Random Forestand Extra trees regressor to have an accurate estimation of PM2.5 levels for all the four regionsof Delhi and perceived that these ensembled learning techniques are better than other machinelearning algorithms like Neural Networks, Linear regression and SVMs. The Random Forestand Extra trees regressor models give the R2value 0.75 and 0.78 respectively for estimation ofPM2.5; R2 value is a statistical measurement which explains the variance of dependent variablebased on the independent variables of a regression model.

scholarly journals Zoning of air quality index (PM10 and PM2.5) by Arc-GIS for Khorramabad city, Iran

Data in Brief ◽  
2018 ◽  
Vol 19 ◽  
pp. 1131-1141 ◽  
Author(s):  
Maryam Kianisadr ◽  
Mansour Ghaderpoori ◽  
Ali Jafari ◽  
Bahram kamarehie ◽  
Mohammadamin Karami
Keyword(s):  
Air Quality ◽  
Quality Index ◽  
Air Quality Index ◽  
Pm10 And Pm2.5 ◽  
Arc Gis

A Study on Air Quality Index

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

scholarly journals Asymmetric nexus between air quality index and nationwide lockdown for COVID-19 pandemic in a part of Kolkata metropolitan, India

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