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A Predictive Model for Steady State Ozone Concentration at an Urban-Coastal Site

Authors :
H. Al-Jeelani
A. S. Abdelmaksoud
Heikki Lihavainen
Ibrahim I. Shabbaj
Mamdouh I. Khoder
Sharif Arar
Mansour A. Alghamdi
Tareq Hussein
F. M. Almehmadi
Martha A. Zaidan
Afnan Al-Hunaiti
Antti Hyvärinen
Lubna Dada
Global Atmosphere-Earth surface feedbacks
INAR Physics
Institute for Atmospheric and Earth System Research (INAR)
Air quality research group
Source :
International Journal of Environmental Research and Public Health, Vol 16, Iss 2, p 258 (2019), International Journal of Environmental Research and Public Health, Volume 16, Issue 2
Publication Year :
2019
Publisher :
MDPI AG, 2019.

Abstract

Ground level ozone (O3) plays an important role in controlling the oxidation budget in the boundary layer and thus affects the environment and causes severe health disorders. Ozone gas, being one of the well-known greenhouse gases, although present in small quantities, contributes to global warming. In this study, we present a predictive model for the steady-state ozone concentrations during daytime (13:00&ndash<br />17:00) and nighttime (01:00&ndash<br />05:00) at an urban coastal site. The model is based on a modified approach of the null cycle of O3 and NOx and was evaluated against a one-year data-base of O3 and nitrogen oxides (NO and NO2) measured at an urban coastal site in Jeddah, on the west coast of Saudi Arabia. The model for daytime concentrations was found to be linearly dependent on the concentration ratio of NO2 to NO whereas that for the nighttime period was suggested to be inversely proportional to NO2 concentrations. Knowing that reactions involved in tropospheric O3 formation are very complex, this proposed model provides reasonable predictions for the daytime and nighttime concentrations. Since the current description of the model is solely based on the null cycle of O3 and NOx, other precursors could be considered in future development of this model. This study will serve as basis for future studies that might introduce informing strategies to control ground level O3 concentrations, as well as its precursors&rsquo<br />emissions.

Details

ISSN :
16604601
Volume :
16
Database :
OpenAIRE
Journal :
International Journal of Environmental Research and Public Health
Accession number :
edsair.doi.dedup.....f0fac8eac18b3a5fab60a73ec1687ce4