scholarly journals Global COVID-19 pandemic trends and their relationship with meteorological variables, air pollutants and socioeconomic aspects

2021 ◽  
pp. 112249
Author(s):  
Yi Han ◽  
Wenwu Zhao ◽  
Paulo Pereira
Keyword(s):  
Air Pollutants ◽  
Meteorological Variables ◽  
Socioeconomic Aspects

The Impact of Air Pollutants and Meteorological Variables on Visibility in Delhi

2013 ◽  
Vol 19 (2) ◽  
pp. 127-138 ◽  
Author(s):  
P. Goyal ◽  
Anikender Kumar ◽  
Dhirendra Mishra
Keyword(s):  
Air Pollutants ◽  
Meteorological Variables ◽  
The Impact

scholarly journals Comparing the magnitude of meteorological variables and air pollutants as contributing factors atopic dermatitis symptoms

2019 ◽  
Vol 143 (2) ◽  
pp. AB235
Author(s):  
Hayat H. Srour ◽  
Joshua K. Baguley ◽  
Shandra V. Bellinger ◽  
Ariel J. Stateman ◽  
Felix E. Rivera-Mariani
Keyword(s):  
Atopic Dermatitis ◽  
Air Pollutants ◽  
Meteorological Variables ◽  
Contributing Factors

Insolation prediction using air pollutants and meteorological variables

2021 ◽  
Vol 32 (5) ◽  
pp. 997-1005
Author(s):  
Yeungeun Hwang ◽  
Dayoung Kang ◽  
Myunghwan Na ◽  
Sanghoo Yoon
Keyword(s):  
Air Pollutants ◽  
Meteorological Variables

Neural network forecasting of air pollutants hourly concentrations using optimised temporal averages of meteorological variables and pollutant concentrations

2009 ◽  
Vol 43 (35) ◽  
pp. 5588-5596 ◽  
Author(s):  
Lovro Hrust ◽  
Zvjezdana Bencetić Klaić ◽  
Josip Križan ◽  
Oleg Antonić ◽  
Predrag Hercog
Keyword(s):  
Neural Network ◽  
Air Pollutants ◽  
Meteorological Variables ◽  
Pollutant Concentrations

Multivariate Analysis between Air Pollutants and Meteorological Variables in Seoul

2005 ◽  
Vol 277-279 ◽  
pp. 492-496 ◽  
Author(s):  
Jae Hee Kim ◽  
Ji Won Lim
Keyword(s):  
Air Pollution ◽  
Multivariate Analysis ◽  
Contrast Effect ◽  
Air Pollutants ◽  
Pollution Index ◽  
Principal Component ◽  
Meteorological Variables ◽  
Pollution Levels ◽  
Seasonal Characteristics ◽  
Environment Index

Multivariate analysis was conducted to analyze the relationship between air pollutants and meteorological variables measured in Seoul from January 1 to December 31, 1999. The first principal component showed the contrast effect between O3 and the other pollutants. The second principal component showed the contrast effect between CO, SO2, NO2, and O3, PM10, TSP. Based on the cluster analysis, three clusters represented different air pollution levels, seasonal characteristics of air pollutants, and meteorological conditions. Discriminant analysis with Air Environment Index (AEI) was carried out to develop an air pollution index function.

scholarly journals Temperature Inversions, Meteorological Variables and Air Pollutants and Their Influence on Acute Respiratory Disease in the Guadalajara Metropolitan Zone, Jalisco, Mexico

2013 ◽  
Vol 04 (08) ◽  
pp. 142-153 ◽  
Author(s):  
Hermes U. Ramírez-Sánchez ◽  
Mario E. García-Guadalupe ◽  
Héctor H. Ulloa-Gódinez ◽  
Ángel R. Meulenert-Peña ◽  
Omar García-Concepción ◽  
...  
Keyword(s):  
Respiratory Disease ◽  
Air Pollutants ◽  
Meteorological Variables ◽  
Acute Respiratory Disease ◽  
Temperature Inversions ◽  
Metropolitan Zone
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