Temporal variations in surface ozone at Thumba (8.6°N, 77°E)-a tropical coastal site in India

2002 ◽  
Vol 36 (4) ◽  
pp. 603-610 ◽  
Author(s):  
P.R Nair ◽  
D Chand ◽  
S Lal ◽  
K.S Modh ◽  
M Naja ◽  
...  
2006 ◽  
Vol 137 (3) ◽  
pp. 1554-1559 ◽  
Author(s):  
M. Pulikesi ◽  
P. Baskaralingam ◽  
V.N. Rayudu ◽  
D. Elango ◽  
V. Ramamurthi ◽  
...  
Keyword(s):  

2010 ◽  
Vol 85 (1) ◽  
pp. 10-14 ◽  
Author(s):  
Yongquan Yin ◽  
Wenpo Shan ◽  
Xia Ji ◽  
Xingyan Deng ◽  
Jian’an Cheng ◽  
...  

Atmosphere ◽  
2020 ◽  
Vol 11 (2) ◽  
pp. 193 ◽  
Author(s):  
Resmi C T ◽  
Nishanth T ◽  
Satheesh Kumar M K ◽  
Balachandramohan M ◽  
Valsaraj K T

Atmospheric ozone (O3) in the surface level plays a central role in determining air quality and atmospheric oxidizing capacity. In this paper, we review our comprehensive results of simultaneous measurements of surface ozone (O3) and its precursor gas (NOx) and weather parameters that were carried out continuously for a span of six years (January 2013–December 2018) at a typical rural coastal site, Kannur (11.9° N, 75.4° E) in South India. Surface O3 concentration reached its maximum during daytime hours and minimum during the night time. The influence of solar radiation and water content on variations of O3 are discussed. A Multi-Layer Perceptron (MLP) artificial neural network technique has been used to understand the effect of atmospheric temperature on the increase in O3 over the past six years. This has been found that temperature has been a major contributor to the increase in O3 levels over the years. The National Centre for Atmospheric Research- Master Mechanism (NCAR-MM) Photochemical box model study was conducted to validate the variations of O3 in different seasons and years, and the results were shown to be in good agreement with observed trends.


2017 ◽  
Vol 25 (3) ◽  
pp. 2194-2210 ◽  
Author(s):  
Mohd Shahrul Mohd Nadzir ◽  
Matthew J. Ashfold ◽  
Md Firoz Khan ◽  
Andrew D. Robinson ◽  
Conor Bolas ◽  
...  

2016 ◽  
Vol 16 (15) ◽  
pp. 10045-10061 ◽  
Author(s):  
Tian Feng ◽  
Guohui Li ◽  
Junji Cao ◽  
Naifang Bei ◽  
Zhenxing Shen ◽  
...  

Abstract. The organic aerosol (OA) concentration is simulated in the Guanzhong Basin, China from 23 to 25 April 2013 utilizing the WRF-CHEM model. Two approaches are used to predict OA concentrations: (1) a traditional secondary organic aerosol (SOA) module; (2) a non-traditional SOA module including the volatility basis-set modeling method in which primary organic aerosol (POA) is assumed to be semivolatile and photochemically reactive. Generally, the spatial patterns and temporal variations of the calculated hourly near-surface ozone and fine particle matters agree well with the observations in Xi'an and surrounding areas. The model also yields reasonable distributions of daily PM2.5 and elemental carbon (EC) compared to the filter measurements at 29 sites in the basin. Filter-measured organic carbon (OC) and EC are used to evaluate OA, POA, and SOA using the OC ∕ EC ratio approach. Compared with the traditional SOA module, the non-traditional module significantly improves SOA simulations and explains about 88 % of the observed SOA concentration. Oxidation and partitioning of POA treated as semivolatile constitute the most important pathway for the SOA formation, contributing more than 75 % of the SOA concentrations in the basin. Residential emissions are the dominant anthropogenic OA source, constituting about 50 % of OA concentrations in urban and rural areas and 30 % in the background area. The OA contribution from transportation emissions decreases from 25 % in urban areas to 20 % in the background area, and the industry emission OA contribution is less than 6 %.


2012 ◽  
Vol 69 (2) ◽  
pp. 101-126 ◽  
Author(s):  
T. Nishanth ◽  
M. K. Satheesh Kumar ◽  
K. T. Valsaraj
Keyword(s):  

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