DINAMIKA KUALITAS UDARA AMBIEN SELAMA MASA PANDEMI COVID-19 DI KAWASAN INDONESIA TOURISM DEVELOPMENT CORPORATION NUSA DUA BALI

The Covid-19 pandemic has increased the improvement of air quality in various countries in the world, such as China, Italy, New York, India, Spain and Korea. This study aims to compare ambient air quality during the Covid-19 pandemic with new normal and normal periods, assess the effect of meteorological factors on ambient air quality, and map the spatial distribution of ambient air quality during the normal, Covid-19 pandemic and new normal in the ITDC Nusa Dua area. Air concentration parameter data and meteorological factors were collected using the midget impinger and direct reading method in 2019 (normal period), March and May 2020 (Covid-19 pandemic period) and July, September, and November 2020 (new normal period). Furthermore, comparing air quality using the Anova test, assessing the effect of meteorological factors on air quality using a linear regression test, and mapping the distribution of ambient air using the ArcGis 10.8 application. The analysis showed that the air quality during the Covid-19 pandemic and the new normal was significantly different from the normal period. The concentrations of SO2, NO2, NH3, CO, TSP and H2S during the Covid-19 pandemic and normal just decreased while the O3 concentration increased compared to the normal period. The meteorological factor that affects air quality is the wind speed, the higher the wind speed the lower the O3 concentration. Map of the distribution of spatial concentrations of SO2, NO2, NH3, CO, O3 and H2S in the normal, Covid-19 pandemic and new normal, lowest at the coast point of the peninsula and the highest distribution at the ITDC roundabout, bima statue or influence TSP is the highest spatial concentration of normal distribution at the ITDC roundabout and the bima statue, while the Covid-19 pandemic and normal are only at the coast point of the peninsula beach.Keywords: ambient air quality; Covid-19; pandemic; tourism.

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The Concentration Characteristics of PM10 and PM2.5 in Eight Cities of China in March, 2013

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.807-809.20 ◽

2013 ◽

Vol 807-809 ◽

pp. 20-23 ◽

Cited By ~ 1

Author(s):

Tao Sheng ◽

Jian Wu Shi ◽

Sen Lin Tian ◽

Li Mei Bi ◽

Hao Deng ◽

...

Keyword(s):

Air Quality ◽

Wind Speed ◽

Relative Humidity ◽

Negative Correlation ◽

Ambient Air ◽

Quality Standard ◽

Meteorological Factor ◽

Urban Air ◽

Ambient Air Quality ◽

Ambient Air Quality Standard

According to the information of air quality which published by the urban air quality real-time publishing platform, the concentration characteristics of PM10 and PM2.5 were studied in Kunming (KM), Changsha (CS), Hangzhou (HZ), Shanghai (SH), Harbin (HEB), Beijing (BJ), Wuhan (WH) and Guangzhou (GZ). The results show that the concentrations of PM10 and PM2.5 exceeded the Ambient Air Quality Standard (GB3095-2012) in varying degrees in March, 2013. The concentrations of PM10 in Wuhan is the highest, reached 164μg/m3, exceeded the standard by 9.3%; the concentrations of PM2.5 is much higher in Wuhan, Changsha and Beijing, the average concentrations were 96μg/m3, 103μg/m3 and 110μg/m3, exceeded the standard by 28.0%, 37.3% and 46.7% respectively. The correlation of PM10 with PM2.5 in most of these cities was good in March. The correlation analysis of pollutant with meteorological factor in Hangzhou, Shanghai, Beijing and Guangzhou was also studied, the results show that the concentrations of PM10 and PM2.5 are weakly positive correlation with temperature in the four cities, negative correlation with relative humidity without Beijing, and negative correlation with wind speed.

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Long-Term Atmospheric Visibility Trends and Characteristics of 31 Provincial Capital Cities in China during 1957–2016

Atmosphere ◽

10.3390/atmos9080318 ◽

2018 ◽

Vol 9 (8) ◽

pp. 318 ◽

Cited By ~ 6

Author(s):

Weicong Fu ◽

Ziru Chen ◽

Zhipeng Zhu ◽

Qunyue Liu ◽

Jinda Qi ◽

...

Keyword(s):

Air Quality ◽

Socioeconomic Factors ◽

Urban Areas ◽

Meteorological Factors ◽

Ambient Air ◽

Ambient Air Quality ◽

Capital Cities ◽

The Public ◽

Provincial Capital

Millions of pulmonary diseases, respiratory diseases, and premature deaths are caused by poor ambient air quality in developing countries, especially in China. A proven indicator of ambient air quality, atmospheric visibility (AV), has displayed continuous decline in China’s urban areas. A better understanding of the characteristics and the factors affecting AV can help the public and policy makers manage their life and work. In this study, long-term AV trends (from 1957–2016, excluding 1965–1972) and spatial characteristics of 31 provincial capital cities (PCCs) of China (excluding Taipei, Hong Kong, and Macau) were investigated. Seasonal and annual mean values of AV, percentage of ‘good’ (≥20 km) and ‘bad’ AV (<10 km), cumulative percentiles and the correlation between AV, socioeconomic factors, air pollutants and meteorological factors were analyzed in this study. Results showed that annual mean AV of the 31 PCCs in China were 14.30 km, with a declining rate of −1.07 km/decade. The AV of the 31 PCCs declined dramatically between 1973–1986, then plateaued between 1987–2006, and rebounded slightly after 2007. Correlation analysis showed that impact factors (e.g., urban size, industrial activities, residents’ activities, urban greening, air quality, and meteorological factors) contributed to the variation of AV. We also reveal that residents’ activities are the primary direct socioeconomic factors on AV. This study hopes to help the public fully understand the characteristics of AV and make recommendations about improving the air environment in China’s urban areas.

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Air of Uncertainty from pollution profiteers: Status of ambient air quality of sawmill industry in Ilorin Metropolis, Kwara State, Nigeria

10.21203/rs.3.rs-270757/v1 ◽

2021 ◽

Author(s):

Morufu Raimi ◽

Timothy Kayode Samson ◽

Ajayi Bankole Sunday ◽

Adio Zulkarnaini Olalekan ◽

Odipe Oluwaseun Emmanuel ◽

...

Keyword(s):

Air Pollution ◽

Air Quality ◽

Air Pollutants ◽

Ambient Air ◽

Ambient Air Pollution ◽

Health Concern ◽

Ambient Air Quality ◽

Direct Reading ◽

Life Years

Abstract We can’t stop breathing, but we can do something about the quality of air that we breathe. Clean fresh air is indispensable ingredient for a good life quality. Individuals poses the right towards expecting that the breathed air will not harm people. Thus, fighting air pollution will not only improve health outcomes, productivity, and well-being, it’s also essential toward reducing the emissions of greenhouse gas as well as fighting climate change. For examples, a third of the global population is at risk from unhealthy of ambient air pollutants concentrations, with the loss of approximately 6.4 million healthy-life-years attributed specifically to chronic exposure to ambient particulate matter. Expert panels have consistently rated air pollution as a greater health hazard than water pollution. Pollution of air is the leading source of unexplained and undiagnosed diseases, besides have remained associated with a variety of serious human health risks, and in fact, a threshold has not been established under which these pollutants exert no adverse effects. This study evaluates ambient air quality at major sawmill sites in Ilorin Metropolis, Kwara State, Nigeria. “Measurements of Air pollution were accurately carried out using direct reading, automatic in situ gas monitors; Hand held mobile multi-gas monitor with model AS8900 [Combustible (LEL), and Oxygen (O2)], BLATN with model BR – Smart Series air quality monitor (PM10, Formaldehyde) and air quality multimeter with model B SIDE EET100 (Dust (PM2.5), VOC, Temperature and Relative Humidity)”. The outcomes disclosed among others, the average concentrations of CO, O2 as well as other measured parameters for instance formaldehyde (HcHo) etc., they are also consistently low as well as within acceptable range in terms of National as well as Global monitoring standards for air quality indices. However, there are few exceptions for instance the average volatile organic compounds (VOCs) concentrations, PM2.5, PM10 as well as Combustible (LEL) respectively, which are higher when compared to National and Global standards. This high figure is due to pollutant amount existing in the sawmills air environment resulting from input of influents from activities of the sawmill. However, as a result, air pollution in the city of Ilorin is found to be increasingly polluted and are of major health concern because of their synergistic action. Due to the high evidences and values, it can lead to a remarkable rise in over-all figure of hospital visits/ patients’ admissions with acute respiratory illnesses as soon as air pollutants level remained high. Hence, there is the need for an aggressive control of ambient air pollution.

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The Analysis of Meteorological Factors and Ambient Air Quality (PM10, CO, SO2, NO2, and O3) with the Incidence of Acute Respiratory Infection (ARI) in Tangerang City, Indonesia During 2010-2019

International Journal of Advancement in Life Sciences Research ◽

10.31632/ijalsr.2021.v04i04.002 ◽

2021 ◽

Vol 4 (4) ◽

Author(s):

Muhammad Zulfikar Adha ◽

Talitha El Zhafira Hadi

Keyword(s):

Air Quality ◽

Relative Humidity ◽

Correlation Analysis ◽

Respiratory Infection ◽

Acute Respiratory Infection ◽

Meteorological Factors ◽

Sun Exposure ◽

Ambient Air ◽

Ambient Air Quality ◽

Regression Test

Tangerang City is a city with a high population, vehicles, and industries, so the pollutant emissions in the air are increasing. It has a high contribution in the occurrence of ARI (Acute Respiratory Infection). These pollutants are PM10, CO, SO2, NO2, and O3. In addition, meteorological factors such as air temperature, relative humidity, rainfall, wind velocity, and the length of sun exposure also affect the occurrence of the disease. Research Purposes: The purpose of this research is to find out how the correlation between meteorological factors and ambient air quality with the incidence of ARI in Tangerang City during 2010 to 2019. Research Methodology: This research uses analytic observational research, quantitative approaches, and retrospective cohort study design, also ecological study. The population used as a sample is all the data of meteorological factors, ambient air quality, and the incidence of ARI in Tangerang City during 2010 to 2019. Correlation analysis was performed using regression correlation analysis, simple linear regression test, and multiple linear regression test. Research Result: The result showed that meteorological factors and ambient air quality associated with the incidence of ARI are relative humidity (p = 0,039), rainfall (p = 0,044), wind velocity (p = 0,033), the length of sun exposure (p = 0,042), PM10(p = 0,024), CO (p = 0,040), NO2(p = 0,049), and O3(p = 0,039). KEYWORDS: Meteorological factors, Ambient air quality, Acute respiratory infection (ARI)

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Impact of Sawmill Industry on Ambient Air Quality: A Case Study of Ilorin Metropolis, Kwara State, Nigeria

Energy and Earth Science ◽

10.22158/ees.v3n1p1 ◽

2020 ◽

Vol 3 (1) ◽

pp. p1

Author(s):

Raimi Morufu Olalekan ◽

Adio Zulkarnaini Olalekan ◽

Odipe Oluwaseun Emmanuel ◽

Timothy Kayode Samson ◽

Ajayi Bankole Sunday ◽

...

Keyword(s):

Lung Cancer ◽

Air Pollution ◽

Air Quality ◽

Health Effects ◽

Ambient Air ◽

Communicable Diseases ◽

Ambient Air Quality ◽

Direct Reading ◽

Non Communicable Diseases ◽

Wood Processing

Amid sawmill busy lives, air pollution is one of the greatest casualties of our time and has increased worldwide since 1990. Today, the history of air pollution in sawmills accounts for 93.32% of the total number of wood processing industries in Nigeria, it seems daunting, overwhelming and have positioned the country at a perilous crossroad. For emerging nations such as Nigeria with a population projected to hit 410.6 million humans by 2050 with up to 40-60 million people with mental disorders at the moment, consequently more than 40,000 deaths a year will be due to air pollution. 7 million deaths worldwide is attributed to air pollution with the number set to increase significantly in coming decades mostly through non-communicable diseases like lung cancer, stroke and chronic obstructive pulmonary disease but also through acute respiratory infections like pneumonia. Similarly, around 90% of all people breathe air contaminated with pollutants. In 2015, tobacco caused 7 million deaths, 1.2 million AIDS, 1.1 million cases of tuberculosis and 0.7 million of malaria, 19% of all cardiovascular deaths, 24% of all deaths due to ischaemic heart disease. 21% of stroke deaths, and 23% of deaths from lung cancer. Non-communicable diseases are responsible for 70% of deaths from air pollution and are a major cause of unexplained infections. In addition, air pollution seems to be significant but it is still not a determinant factor of the risk of neurodegenerative disorders in children and neurodegenerative diseases in adults. This study assessed ambient air quality in major sawmill sites in Ilorin Metropolis, Kwara State, Nigeria. Air pollution measurements were made using direct reading through automatic in situ gas monitors; Hand held mobile multi-gas monitor with model AS8900 (Combustible (LEL), and Oxygen (O2)), BLATN with model BR—Smart Series air quality monitor (PM10, Formaldehyde) and air quality multimeter with model B SIDE EET100 (Dust (PM2.5), VOC, Temperature and Relative Humidity). The results show that the mean concentrations of CO, O2 and other measured parameters such as Formaldehyde (HcHo) etc., are commonly lower and within acceptable range of National and International regulatory standards for air quality indices. There are however some exceptions such as mean concentrations of Volatile Organic Compounds (VOCs), PM2.5, PM10 and Combustible (LEL) respectively high when compared to National and International standards. This high value is attributed to the amount of pollutant present in the sawmills due to the input of influents it receives from activities of the sawmill. This is why there has been air pollution in Ilorin metropolis and were however, found to be polluted. Given the high cost of additional measures to lessen air pollution and the new perspectives suggesting that health effects can be observed at low concentrations, the health effects of air pollution should be of scientific and regulatory interest in coming years. In the absence of aggressive control, ambient air pollution is expected to cause between 6 and 9 million deaths a year by 2060.

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Multivariate Statistical Analysis of Atmospheric Dispersion of BTX Compounds at Sanathnagar, Hyderabad.

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.a1883.059120 ◽

2020 ◽

Vol 9 (1) ◽

pp. 631-635

Keyword(s):

Cluster Analysis ◽

Air Quality ◽

Meteorological Factors ◽

Principal Component ◽

Ambient Air ◽

Quality Parameters ◽

Ambient Air Pollution ◽

Ambient Air Quality ◽

Multivariate Statistical ◽

Benzene Toluene

Sanathnagar, located in the centre of Hyderabad city, is taken as a case study to assess the meteorological factors influencing the air quality parameters Benzene, Toluene, Xylene (BTX compounds) and to identify the significant sources of pollution using the interspecies ratios. A data of ten years (2007- 2017) from Central Pollution control board (CPCB), Hyderabad, Telangana state is studied. TX compounds coming under Volatile Organic Compounds (VOC) were considered as the air quality parameters, seasons as cases and concerning meteorological factors such as Atmospheric Temperature AT (0C), Relative Humidity RH(%), Wind Speed WS (m/s), Wind Direction WD (deg), Sun Radiation SR (w/m2 ), Barometric Pressure BP (mm/Hg). Multivariate statistical techniques, namely Principal Component Analysis (PCA), and Cluster Analysis are used in this study with the help of IBM SPSS 26. The KMO test sampling adequacy found to be higher than 0.5, and the Bartlett test showed lesser value than 0.00, hence proving the results of the analysis are satisfactory. From BTX ratios it was observed that T/B was much higher than one and X/B been minimal value for all seasons indicating traffic pollution as a significant source of ambient air pollution in the study area. On the other hand, the correlation matrix states that a positive correlation between meteorological factors and ambient air quality parameters are as follows: SR- Benzene, Xylene; BPToluene; WS- Benzene, Toluene, and Xylene and the factors with a negative correlation on parameters are WD, RH, AT. PCA states that ambient air quality parameters are influenced by meteorological factors such as SR, RH, WS, WD (major influencers) and BP, AT (moderator influencers). Whereas in Cluster Analysis major influencers are WS, AT, RH and moderate are WP, SR, BP respectively. Therefore, PCA and CA results have shown similar trends in the categorization of meteorological influencers.

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Application of Electron Optics to Characterization of Particulate Pollutants

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s042482010009508x ◽

1972 ◽

Vol 30 ◽

pp. 364-365

Author(s):

J. B. Moran ◽

J. L. Miller

Keyword(s):

Air Quality ◽

Quality Standards ◽

Ambient Air ◽

Hazardous Substances ◽

Fuel Additives ◽

Ambient Air Quality ◽

Air Quality Standards ◽

Emission Standards ◽

Stationary Sources ◽

Ambient Air Quality Standards

The Clean Air Act Amendments of 1970 provide the basis for a dramatic change in Federal air quality programs. The Act establishes new standards for motor vehicles and requires EPA to establish national ambient air quality standards, standards of performance for new stationary sources of pollution, and standards for stationary sources emitting hazardous substances. Further, it establishes procedures which allow states to set emission standards for existing sources in order to achieve national ambient air quality standards. The Act also permits the Administrator of EPA to register fuels and fuel additives and to regulate the use of motor vehicle fuels or fuel additives which pose a hazard to public health or welfare.National air quality standards for particulate matter have been established. Asbestos, mercury, and beryllium have been designated as hazardous air pollutants for which Federal emission standards have been proposed.

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