scholarly journals Examining the Relationship between Ozone and other Air Pollutants in Al-Hilla City

2018 ◽  
Vol 26 (2) ◽  
pp. 88-96
Author(s):  
Ala'a Hamed Emran Al-Husseini

Air pollution must take more attention because its effects on human health. One of the most important air pollutants is ground-level ozone O3, which plays an important role in air quality and climate change on the earth. Ozone affected by the other air pollutants, so this paper attempt to study the relationship between hourly, daily and monthly ground-level ozone concentration and hourly, daily and monthly air pollutant concentrations and its effect on ground-level ozone concentration. The other air pollutants are: sulfur dioxide SO2, nitrogen oxides NOx, nitrogen monoxide NO, nitrogen dioxide NO2 and carbon dioxide CO2. The monitoring station is in Babylon University in the south of Al-Hilla city, Iraq for the period 2015-2016. By using statistical analysis, correlation coefficient and some statistics for all air pollutants are computed. Results are: the maximum average ozone concentration is in the summer months June, July and August 39.30 ppb, 45.05 ppb and 36.63 ppb respectively and along the day the peak average ozone concentration is in the afternoon because of high temperature and high solar radiation intensity which is increasing the photochemical activity of ozone. There is no significant correlation between ozone and sulfur dioxide SO2, carbon dioxide CO2 (ρ > 0.05). High significant correlation is appeared between ozone and nitrogen oxides forms (ρ < 0.01). To express the complex relation between ozone and nitrogen oxide forms, proportions such as NO/NO2 and (NOx-NO)/NO is determined which explain the ozone photochemical activity. Ozone concentration decreases with increasing of NO/NO2 and increases with (NOx-NO)/NOx increasing.

2017 ◽  
Vol 26 (2) ◽  
pp. 517-523 ◽  
Author(s):  
Ahmad Makmom Abdullah ◽  
Marzuki Ismail ◽  
Fong Si Yuen ◽  
Samsuri Abdullah ◽  
Rasheida Elhadi

Author(s):  
Oskar Wiśniewski ◽  
Wiesław Kozak ◽  
Maciej Wiśniewski

AbstractCOVID-19, which is a consequence of infection with the novel viral agent SARS-CoV-2, first identified in China (Hubei Province), has been declared a pandemic by the WHO. As of September 10, 2020, over 70,000 cases and over 2000 deaths have been recorded in Poland. Of the many factors contributing to the level of transmission of the virus, the weather appears to be significant. In this work, we analyze the impact of weather factors such as temperature, relative humidity, wind speed, and ground-level ozone concentration on the number of COVID-19 cases in Warsaw, Poland. The obtained results show an inverse correlation between ground-level ozone concentration and the daily number of COVID-19 cases.


Author(s):  
An Zhang ◽  
Jinhuang Lin ◽  
Wenhui Chen ◽  
Mingshui Lin ◽  
Chengcheng Lei

Long-term exposure to ozone pollution will cause severe threats to residents’ physical and mental health. Ground-level ozone is the most severe air pollutant in China’s Pearl River Delta Metropolitan Region (PRD). It is of great significance to accurately reveal the spatial–temporal distribution characteristics of ozone pollution exposure patterns. We used the daily maximum 8-h ozone concentration data from PRD’s 55 air quality monitoring stations in 2015 as input data. We used six models of STK and ordinary kriging (OK) for the simulation of ozone concentration. Then we chose a better ozone pollution prediction model to reveal the ozone exposure characteristics of the PRD in 2015. The results show that the Bilonick model (BM) model had the highest simulation precision for ozone in the six models for spatial–temporal kriging (STK) interpolation, and the STK model’s simulation prediction results are significantly better than the OK model. The annual average ozone concentrations in the PRD during 2015 showed a high spatial variation in the north and east and low in the south and west. Ozone concentrations were relatively high in summer and autumn and low in winter and spring. The center of gravity of ozone concentrations tended to migrate to the north and west before moving to the south and then finally migrating to the east. The ozone’s spatial autocorrelation was significant and showed a significant positive correlation, mainly showing high-high clustering and low-low clustering. The type of clustering undergoes temporal migration and conversion over the four seasons, with spatial autocorrelation during winter the most significant.


2018 ◽  
Vol 80 (5) ◽  
Author(s):  
Nazatul Syadia Zainordin ◽  
Nor Azam Ramli ◽  
Ahmad Zia Ul-Saufie Mohamad ◽  
Muhammad Rizal Razman ◽  
Ahmad Shukri Yahya ◽  
...  

Increasing ground level ozone has become an important issue because of its adverse effects on health and the environment. Increasing numbers of vehicles is known to be one of the sources of its precursors where gas emissions from vehicle exhausts lead to the production of ground level ozone.  Active transports, mainly walking have been found to be the most effective way to reduce the use of private vehicles especially for short-distance travel.  In this study, pedestrians’ perspectives on the existence of environmental problems and awareness regarding negative effects of these issues and their perceptions towards changing the current mode to active mode were evaluated. According to the surveys conducted at the four selected schools, by referring to the gender, as compared to male respondents, female respondents mostly testified that there were local environmental problems occurred at their area and are aware  of the adverse effects of air pollutants exposed to human. As for types of respondents, teachers were much concern with the environmental problems as they spent more time in schools compared than other types of respondents. In terms of race, Indian and Malay respondents were more aware of the negative effects of air pollutants and most willingly to change from current mode to walking. From the analysis of one-way ANOVA and independent t-test, respondents’ level of agreement with environmental problems, awareness and potential in changing the current mode to walking were related to the gender, types of respondents and race. Nevertheless, factor of travel distance did not influence the given level of agreement by respondents.


2019 ◽  
Vol 7 (7) ◽  
pp. 422-431
Author(s):  
Niranjan Mudliar ◽  
Paramjeet Singh

India has been progressing steadily since last two decades in terms of affordability of commodity and purchasing power of the common man. This has given rise to demand which leads to the continuous economic growth. Of course, support from the Government of India as well as various state Governments has come in the form of reforms and infrastructure funding. However this growth has also seen the disadvantage of erratic consumption by wealthy persons as compared to the economically weaker sections, for example on one side there is heavy demand of passenger cars by the higher income group who uses it sparingly but on the other side people of the lower income group who are more in numbers have to rely on public transport. This imbalance creates a wider gap between public affordability to consume a particular commodity like passenger cars. On one side there are persons who buy the latest model introduced by the manufacturer in spite of having sufficient numbers at their disposal and on the other side basic lowest level model are out of reach of some persons in the society, who rely on two-wheeler or public transport which is not reliable. This has not only created a huge gap in public expenditure but has also impact the environment. With year on year increase in number of vehicles in tier 2 cities like Bhopal, there is tremendous influence on the carbon dioxide (CO2) in and around the city. Past decade saw increase in maximum temperatures during summer rise by 3 – 4 degrees above normal in Bhopal and there is clear effect on the monsoon pattern too which has become inconsistent with rains reaching 120 mm in three days. Earlier this quantity was spread over a month. The last major season of winter is seen getting reduced to two months only from the earlier four, again with temperatures dropping suddenly below normal etc. This effect must be the result of increasing number of passenger vehicles in the city apart from other factors which also need detailed study for their influence.


Author(s):  
Chen ◽  
Zhuo ◽  
Xu ◽  
Xu ◽  
Gao

As a result of China’s economic growth, air pollution, including carbon dioxide (CO2) emission, has caused serious health problems and accompanying heavy economic burdens on healthcare. Therefore, the effect of carbon dioxide emission on healthcare expenditure (HCE) has attracted the interest of many researchers, most of which have adopted traditional empirical methods, such as ordinary least squares (OLS) or quantile regression (QR), to analyze the issue. This paper, however, attempts to introduce Bayesian quantile regression (BQR) to discuss the relationship between carbon dioxide emission and HCE, based on the longitudinal data of 30 provinces in China (2005–2016). It was found that carbon dioxide emission is, indeed, an important factor affecting healthcare expenditure in China, although its influence is not as great as the income variable. It was also revealed that the effect of carbon dioxide emission on HCE at a higher quantile was much smaller, which indicates that most people are not paying sufficient attention to the correlation between air pollution and healthcare. This study also proves the applicability of Bayesian quantile regression and its ability to offer more valuable information, as compared to traditional empirical tools, thus expanding and deepening research capabilities on the topic.


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