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A Predictive Model for Steady State Ozone Concentration at an Urban-Coastal Site
Ground level ozone (O(3)) 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 warmin...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6352037/ https://www.ncbi.nlm.nih.gov/pubmed/30658446 http://dx.doi.org/10.3390/ijerph16020258 |
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author | Alghamdi, Mansour A. Al-Hunaiti, Afnan Arar, Sharif Khoder, Mamdouh Abdelmaksoud, Ahmad S. Al-Jeelani, Hisham Lihavainen, Heikki Hyvärinen, Antti Shabbaj, Ibrahim I. Almehmadi, Fahd M. Zaidan, Martha A. Hussein, Tareq Dada, Lubna |
author_facet | Alghamdi, Mansour A. Al-Hunaiti, Afnan Arar, Sharif Khoder, Mamdouh Abdelmaksoud, Ahmad S. Al-Jeelani, Hisham Lihavainen, Heikki Hyvärinen, Antti Shabbaj, Ibrahim I. Almehmadi, Fahd M. Zaidan, Martha A. Hussein, Tareq Dada, Lubna |
author_sort | Alghamdi, Mansour A. |
collection | PubMed |
description | Ground level ozone (O(3)) 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 (13:00–17:00) and nighttime (01:00–05:00) at an urban coastal site. The model is based on a modified approach of the null cycle of O(3) and NO(x) and was evaluated against a one-year data-base of O(3) and nitrogen oxides (NO and NO(2)) 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 NO(2) to NO whereas that for the nighttime period was suggested to be inversely proportional to NO(2) concentrations. Knowing that reactions involved in tropospheric O(3) 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 O(3) and NO(x), 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 O(3) concentrations, as well as its precursors’ emissions. |
format | Online Article Text |
id | pubmed-6352037 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-63520372019-02-01 A Predictive Model for Steady State Ozone Concentration at an Urban-Coastal Site Alghamdi, Mansour A. Al-Hunaiti, Afnan Arar, Sharif Khoder, Mamdouh Abdelmaksoud, Ahmad S. Al-Jeelani, Hisham Lihavainen, Heikki Hyvärinen, Antti Shabbaj, Ibrahim I. Almehmadi, Fahd M. Zaidan, Martha A. Hussein, Tareq Dada, Lubna Int J Environ Res Public Health Article Ground level ozone (O(3)) 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 (13:00–17:00) and nighttime (01:00–05:00) at an urban coastal site. The model is based on a modified approach of the null cycle of O(3) and NO(x) and was evaluated against a one-year data-base of O(3) and nitrogen oxides (NO and NO(2)) 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 NO(2) to NO whereas that for the nighttime period was suggested to be inversely proportional to NO(2) concentrations. Knowing that reactions involved in tropospheric O(3) 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 O(3) and NO(x), 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 O(3) concentrations, as well as its precursors’ emissions. MDPI 2019-01-17 2019-01 /pmc/articles/PMC6352037/ /pubmed/30658446 http://dx.doi.org/10.3390/ijerph16020258 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Alghamdi, Mansour A. Al-Hunaiti, Afnan Arar, Sharif Khoder, Mamdouh Abdelmaksoud, Ahmad S. Al-Jeelani, Hisham Lihavainen, Heikki Hyvärinen, Antti Shabbaj, Ibrahim I. Almehmadi, Fahd M. Zaidan, Martha A. Hussein, Tareq Dada, Lubna A Predictive Model for Steady State Ozone Concentration at an Urban-Coastal Site |
title | A Predictive Model for Steady State Ozone Concentration at an Urban-Coastal Site |
title_full | A Predictive Model for Steady State Ozone Concentration at an Urban-Coastal Site |
title_fullStr | A Predictive Model for Steady State Ozone Concentration at an Urban-Coastal Site |
title_full_unstemmed | A Predictive Model for Steady State Ozone Concentration at an Urban-Coastal Site |
title_short | A Predictive Model for Steady State Ozone Concentration at an Urban-Coastal Site |
title_sort | predictive model for steady state ozone concentration at an urban-coastal site |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6352037/ https://www.ncbi.nlm.nih.gov/pubmed/30658446 http://dx.doi.org/10.3390/ijerph16020258 |
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