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 ◽  
...  
Keyword(s):  
Surface Ozone ◽  
Temporal Variations ◽  
Coastal Site

Surface ozone measurements at urban coastal site Chennai, in India

2006 ◽  
Vol 137 (3) ◽  
pp. 1554-1559 ◽  
Author(s):  
M. Pulikesi ◽  
P. Baskaralingam ◽  
V.N. Rayudu ◽  
D. Elango ◽  
V. Ramamurthi ◽  
...  
Keyword(s):  
Surface Ozone ◽  
Coastal Site

Analysis of the Surface Ozone During Summer and Autumn at a Coastal Site in East China

2010 ◽  
Vol 85 (1) ◽  
pp. 10-14 ◽  
Author(s):  
Yongquan Yin ◽  
Wenpo Shan ◽  
Xia Ji ◽  
Xingyan Deng ◽  
Jian’an Cheng ◽  
...  
Keyword(s):  
Surface Ozone ◽  
East China ◽  
Coastal Site

scholarly journals Long-Term Variations of Air Quality Influenced by Surface Ozone in a Coastal Site in India: Association with Synoptic Meteorological Conditions with Model Simulations

Atmosphere ◽  
2020 ◽  
Vol 11 (2) ◽  
pp. 193 ◽  
Author(s):  
Resmi C T ◽  
Nishanth T ◽  
Satheesh Kumar M K ◽  
Balachandramohan M ◽  
Valsaraj K T
Keyword(s):  
Air Quality ◽  
Surface Ozone ◽  
Atmospheric Temperature ◽  
Night Time ◽  
Coastal Site ◽  
Model Study ◽  
Different Seasons ◽  
Surface O3 ◽  
Good Agreement

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.

scholarly journals Spatial-temporal variations in surface ozone over Ushuaia and the Antarctic region: observations from in situ measurements, satellite data, and global models

2017 ◽  
Vol 25 (3) ◽  
pp. 2194-2210 ◽  
Author(s):  
Mohd Shahrul Mohd Nadzir ◽  
Matthew J. Ashfold ◽  
Md Firoz Khan ◽  
Andrew D. Robinson ◽  
Conor Bolas ◽  
...  
Keyword(s):  
Satellite Data ◽  
Surface Ozone ◽  
Temporal Variations ◽  
In Situ Measurements ◽  
Antarctic Region ◽  
Global Models ◽  
The Antarctic

scholarly journals Simulations of organic aerosol concentrations during springtime in the Guanzhong Basin, China

2016 ◽  
Vol 16 (15) ◽  
pp. 10045-10061 ◽  
Author(s):  
Tian Feng ◽  
Guohui Li ◽  
Junji Cao ◽  
Naifang Bei ◽  
Zhenxing Shen ◽  
...  
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Surface Ozone ◽  
Organic Aerosol ◽  
Temporal Variations ◽  
Basis Set ◽  
Near Surface ◽  
Guanzhong Basin ◽  
Surrounding Areas ◽  
Background Area

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 %.

Variations in surface ozone and NOx at Kannur: a tropical, coastal site in India

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