scholarly journals Analysis of Air Pollution Trends in Beijing, China

2020 ◽  
pp. 372-376
Author(s):  
Anbu Clemensis Johnson
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Air Pollutants ◽  
Ambient Air ◽  
Temporal Analysis ◽  
Quality Standard ◽  
Quality Data ◽  
Chinese Government ◽  
Average Maximum ◽  
Beijing China

<p>Air pollution is a worldwide problem affecting not only the source location, but the globe as a whole. The current study aims to analyse the standard six air pollutants and air quality index (AQI) in Beijing, China. Air quality data was collected from 2014 to 2020 for temporal analysis. The average maximum values of the air pollutants and AQI during the period analysed were, PM2.5: 74.4 µg/m3, PM10: 107.3 µg/m3, SO2: 20.7 µg/m3, CO: 1.5 mg/m3, NO2: 56.3 µg/m3, O3: 173.1 µg/m3 and AQI: 118. Maximum and minimum values of the primary pollutants occurred predominantly during winter and summer months, while O3 exhibited an opposite trend. All air pollutants and AQI declined over the years. Significant reduction of over 50 % was archived for PM2.5, PM10, SO2, CO and less than 5 % for O3. The air pollution trend in Beijing has shown substantial improvement. In 2020, all air pollutants except PM2.5 achieved the national ambient air quality standard. This realisation can be credited to the effective policies implemented by the Chinese government.</p>

scholarly journals Temporal analysis of air pollutants in the most affected monsoon region

2021 ◽  
Vol 23 (1) ◽  
pp. 229
Author(s):  
Omar Kairan ◽  
Nur Nasehah Zainudin ◽  
Nurul Hasya Mohd Hanafiah ◽  
Nur Emylia Arissa Mohd Jafri ◽  
Fukayhah Fatiha @Suhami ◽  
...  
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Air Pollutants ◽  
Monsoon Season ◽  
Secondary Data ◽  
Ambient Air ◽  
Temporal Analysis ◽  
Quality Standard ◽  
Temporal Variations ◽  
Air Pollutant

Air pollution has become an issue at all rates in the world. In Malaysia, there is a system is known as air quality index (API) used to indicate the overall air quality in the country where the air pollutants include or the new ambient air quality standard are sulphur dioxide (SO2), nitrogen dioxide (NO2), carbon monoxide (CO), ozone (O3) and particulate matter with size less than 10 (PM10). The concentration levels of the air pollutants were said to be affected by the monsoon changes. Therefore, this study is conducted to examine the existence of temporal variations of each air pollutant then identify the differences of each air pollutants concentration in temporal variations. This study uses secondary data where data that has been retrieved from the Department of Environment (DOE) where it is data of air pollution specifically for Kota Bharu, kelantan records. Hierarchical agglomerative cluster analysis was conducted to group monthly air quality. As a conclusion, the study can conclude that the five air pollutants grouped into several different monthly clusters mostly representing the two main monsoon seasons. Mostly air pollutant varied accordingly towards the monsoon season. During the southwestern monsoon, air pollutant concentration tends to higher compare to the northeastern monsoon with mostly due to meteorological factors.

scholarly journals Analysis of Air Quality Impacts on Human Health Using the Geoinformatics Application: Chiang Rai Province

2017 ◽  
pp. 25-32
Author(s):  
Anuttara Hongthong ◽  
Yanasinee Suma ◽  
Nittaya Pasukphun ◽  
Vivat Keawdounglek
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Relative Humidity ◽  
Air Pollutants ◽  
Ambient Air ◽  
Temporal Analysis ◽  
City Centre ◽  
Pollution Dispersion ◽  
Public Health Office ◽  
Lower Temperature

This research aims to study air pollution dispersion in Chiang Rai Province, Thailand. The relationship between air pollutants, meteorology and population health were considered. The levels of air pollutants were used to establish a spatial and temporal analysis by Inverse Distance Weighted (IDW) interpolation from Geographic Information Systems (GIS), involved with occurrences of disease cases in the study area. The average monthly air pollution data were collected from Thailand’s Pollution Control Department and data on respiratory disease were collected from Chiang Rai Provincial Public Health Office during 2011 to 2014. The results indicated that monthly average PM10 concentrations started to rise from December to April. PM10 concentrations peaked during the hot season of every year, when open burning is prac-ticed. During this period, PM10 levels exceeded Thailand’s national ambient air quality standardsof 120 μg m-3. Accumulative influenza and pneumonia cases in Chiang Rai Province were very high in Chiang Rai city centre. The spatial temperature distribution map showed higher incidence of cases of influenza and pneumonia throughout the lower temperature area of Chiang Rai city centre. Influenza was affected by PM10, rainfall, relative humidity, and temperature, according to the following correlation ratios: 0.8217, 0.8842, 0.9375 and 0.8775, respectively. The incidence of pneumonia was affected by rainfall, relative humidity and temperature following the correlation ratios 0.7746, 0.7621 and 0.9684, respectively. Whereas PM10 was low associated with pneumonia as a significant ratio was 0.6079. Pneumonia incidence decreased when rainfall and temperature decreased, and increased when relative humidity increased.

scholarly journals Variation of Ambient Air Quality Scenario in Chittagong City: A Case Study of Air Pollution

2016 ◽  
Author(s):  
Md. Arif Hossen ◽  
Asiful Hoque
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Ambient Air ◽  
Quality Standard ◽  
Average Concentration ◽  
Quality Data ◽  
Gaseous Pollutants ◽  
Ambient Air Quality ◽  
Monsoon Period ◽  
Yearly Average

The ambient air quality data for particulate matter as well as criteria of gaseous pollutants were assembled during December 2013 to December 2015 from the Continuous Air Quality Monitoring Station (CAMS) located at Agrabad, Chittagong. The observation showed that during April- October, 24 hour average concentration of PM10 and PM2.5 were within the National Ambient Air Quality Standard (NAAQS) level but it increased occasionally by more than two and a half times during the whole non-monsoon period (November-March). The highest values found of PM2.5 were 321.1 &micro;g/m3 in January, 2013 and 220.34 &micro;g/m3 in December 2015. Whether, the highest alarming concentration of PM10 was reported as 474 &micro;g/m3 in January 2007. The other gaseous pollutants such as SO2, NO2, O3, CO and Hydrocarbons remain well within the permissible limit except dry non-monsoon period. The yearly average increase of Air Quality Index (AQI) value indicates the growth rate of air pollution in Chittagong city. The main responsible pollutant for air pollution is found PM2.5.

scholarly journals Poor Air Quality and Its Association with Mortality in Ho Chi Minh City: Case Study

Atmosphere ◽  
2020 ◽  
Vol 11 (7) ◽  
pp. 750
Author(s):  
Hoang Ngoc Khue Vu ◽  
Quang Phuc Ha ◽  
Duc Hiep Nguyen ◽  
Thi Thu Thuy Nguyen ◽  
Thoai Tam Nguyen ◽  
...  
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Air Pollutants ◽  
Ambient Air ◽  
Air Quality Modeling ◽  
World Health ◽  
Ho Chi Minh City ◽  
Annual Average ◽  
Quality Modeling ◽  
Concentration Of Air Pollutants

Along with its rapid urban development, Ho Chi Minh City (HCMC) in recent years has suffered a high concentration of air pollutants, especially fine particulate matters or PM2.5. A comprehensive study is required to evaluate the air quality conditions and their health impact in this city. Given the lack of adequate air quality monitoring data over a large area of the size of HCMC, an air quality modeling methodology is adopted to address the requirement. Here, by utilizing a corresponding emission inventory in combination with The Air Pollution Model-Chemical Transport Model (TAPM-CTM), the predicted concentration of air pollutants is first obtained for PM2.5, NOx, and SO2. Then by associating the pollutants exposed with the mortality rate from three causes, namely Ischemic Heart Disease (IHD), cardiopulmonary, and lung cancer, the impact of air pollution on human health is obtained for this purpose. Spatial distribution has shown a high amount of pollutants concentrated in the central city with a high density of combustion vehicles (motorcycles and automobiles). In addition, a significant amount of emissions can be observed from stevedoring and harbor activities, including ferries and cargo handling equipment located along the river. Other sources such as household activities also contribute to an even distribution of emission across the city. The results of air quality modeling showed that the annual average concentrations of NO2 were higher than the standard of Vietnam National Technical Regulation on Ambient Air Quality (QCVN 05: 2013 40 µg/m3) and World Health Organization (WHO) (40 µg/m3). The annual average concentrations of PM2.5 were 23 µg/m3 and were also much higher than the WHO (10 µg/m3) standard by about 2.3 times. In terms of public health impacts, PM2.5 was found to be responsible for about 1136 deaths, while the number of mortalities from exposure to NO2 and SO2 was 172 and 89 deaths, respectively. These figures demand some stringent measures from the authorities to potentially remedy the alarming situation of air pollution in HCM City.

A PRELIMINARY SURVEY OF AIR QUALITY IN MAKASSAR CITY SOUTH SULAWESI INDONESIA

2012 ◽  
Vol 57 (1) ◽  
Author(s):  
SATTAR A. ◽  
M. RASHID ◽  
R. MAT ◽  
L. PUJI
Keyword(s):  
Air Quality ◽  
Suspended Particle ◽  
Ambient Air ◽  
Quality Standard ◽  
World Health ◽  
Quality Data ◽  
Preliminary Survey ◽  
South Sulawesi ◽  
Ambient Air Quality Standard ◽  
Health Organization

Makassar has a strategic position as it is located in between the south and north in the provinces of South Sulawesi. Thus, the rapid growth of urbanization and industrialization within the area is unavoidable, resulting Makassar to be an area of mixed commercial–residential–industrial along with the problem of air pollution. Hence, it is important to monitor the quality of air in Makassar. This paper presents a preliminary survey of urban air quality in Makassar area based on SO2, CO, NO2, O3, Pb, and TSP (Total Suspended Particle) sampled over ten years period (2001 to 2010), while PM10was monitored for five years (2006 to 2010). The air quality data were obtained from measurements made by the Office of Ministry of Environment Sulawesi, Maluku and Papua and Environment Board of the Province of South Sulawesi as well as Environment agency of Makassar City. The average annual concentrations of SO2, CO, NO2, O3, Pb, TSP and PM10 recorded were 76 μg/m3, 1041 μg/m3, 43.2 μg/m3, 54.5 μg/m3, 0.7 μg/m3, 188 μg/m3, 54.6 μg/m3, respectively. Subsequently, these data are compared to the air quality threshold limits recommended by the Indonesia National Ambient Air Quality Standard (INAAQS) as well as guidelines of the World Health Organization (WHO).

scholarly journals Air Pollution and Lung Capacity of People Living around the Cement Industry

2016 ◽  
Vol 2 (2) ◽  
pp. 76-83
Author(s):  
Erwin Azizi Jayadipraja ◽  
Anwar Daud ◽  
Alimuddin Hamzah Assegaf ◽  
Maming
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Ambient Air ◽  
Quality Standard ◽  
Cement Industry ◽  
Anthropogenic Sources ◽  
Dust Particles ◽  
Ambient Air Quality ◽  
Cross Sectional ◽  
Lung Capacity

Backgrounds: A cement industry is one of anthropogenic sources of air pollution. In polluting the air, the industry creates some dust particles, nitrogen oxide (NO2), sulfur oxide (SO2), and carbon monoxide (CO).Research Purpose: The research aims at finding out the ambient air quality around a cement industry and relating it with the lung capacity of people living around the area.Methodology: This research uses cross sectional studies by measuring the ambient air quality in the morning, noon, and evening in four different settlements within 3 km from the cement industry. The measurement is then correlated with the FEV1 and FVC of lung capacity of people living around the area.Result: Of all four locations, three have ambient air quality (PM2.5 = 109.47 µg/Nm3, TSP = 454.7 µg/Nm3) that surpass the quality standard (PM2.5 = 65 µg/Nm3, TSP = 230 µg/Nm3). Of 241 respondents, the average level of FVC and FEV1 is respectively 1.9352 liter (SD: 0.45578) and 1.7486 liter (SD: 0.43874). Furthermore, the level of PM2.5 in the morning and at noon is respectively p=0.009 and p=0.003; the level of TSP in the morning and at noon is respectively p=0.003 and p=0.01; the level of NO2 in the morning is p=0.006; the level of SO2 in the morning, at noon and in the evening is respectively p=0.000, p=0.022, and p=0.000; and the level of CO in the morning, at noon and in the evening is respectively p=0.003, p=0.015, and p=0.024. Those levels are associated with the level of respondents’ FEV1. Moreover, the level of TSP in the morning is p=0.024; the level of SO2 in the morning and in the evening is p=0.007. These levels relate to the level of respondents’ FVC.Keywords: FVC, FEV1, CO, NO2, SO2, TSP, PM2.5, cement industry. 

scholarly journals Trend of Particulate Matter PM 2.5 and PM 10 in Dhaka City

1970 ◽  
Vol 46 (3) ◽  
pp. 389-398 ◽  
Author(s):  
MA Rouf ◽  
M Nasiruddin ◽  
AMS Hossain ◽  
MS Islam
Keyword(s):  
Air Pollution ◽  
Particulate Matter ◽  
Air Quality ◽  
Winter Season ◽  
Ambient Air ◽  
Quality Data ◽  
Dhaka City ◽  
Monsoon Period ◽  
Pm 2.5 ◽  
Pm 10

Dhaka City has been affecting with severe air pollution particularly by particulate matter. The ambient air quality data for particulate matter were collected during April 2002 to September 2005 at the Continuous Air Quality Monitoring Station (CAMS) located at Sangshad Bhaban, Dhaka. Data reveal that the pollution from particulate matter greatly varies with climatic condition. While the level comes down the limit value in the monsoon period (April-October), it goes beyond the limit during non-monsoon time (November-March). The latest data show that during monsoon period PM 10 concentration varies from 50 μg/m3 to 80 μg/m3 and PM 2.5 concentration from 20 μg/m3 to 60 μg/m3 and during non monsoon period PM 10 varies from 100 μg/m3 to 250 μg/m3 and PM 2.5 varies from 70 μg/m3 to 165 μg/m3. The seasonal variation clearly indicates the severe PM 10 pollution during the dry winter season and also sometime during post-monsoon season in Dhaka City. Keywords: Air pollution; PM 2.5; PM 10; Air quality DOI: http://dx.doi.org/10.3329/bjsir.v46i3.9049 BJSIR 2011; 46(3): 389-398

scholarly journals Short-Term Exposure to Ambient Air Pollution and Increased Emergency Room Visits for Skin Diseases in Beijing, China

Toxics ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 108
Author(s):  
Wanzhou Wang ◽  
Wenlou Zhang ◽  
Jingjing Zhao ◽  
Hongyu Li ◽  
Jun Wu ◽  
...  
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Emergency Room ◽  
Skin Diseases ◽  
Ambient Air ◽  
Additive Models ◽  
Ambient Air Pollution ◽  
Emergency Room Visits ◽  
Icd 10 ◽  
Beijing China

Skin diseases have become a global concern. This study aims to evaluate the associations between ambient air pollution and emergency room visits for skin diseases under the background of improving air quality in China. Based on 45,094 cases from a general hospital and fixed-site monitoring environmental data from 2014–2019 in Beijing, China, this study used generalized additive models with quasi-Poisson regression to estimate the exposure–health associations at lag 0–1 to lag 0–7. PM2.5 and NO2 exposure were associated with increased emergency room visits for total skin diseases (ICD10: L00-L99). Positive associations of PM2.5, PM10, O3 and NO2 with dermatitis/eczema (ICD-10: L20–30), as well as SO2 and NO2 with urticaria (ICD-10: L50) visits were also found. For instance, a 10 μg/m3 increase in PM2.5 was associated with increases of 0.7% (95%CI: 0.2%, 1.2%) in total skin diseases visits at lag 0–5 and 1.1% (95%CI: 0.6%, 1.7%) in dermatitis/eczema visits at lag 0–1, respectively. For PM2.5, PM10 and CO, stronger annual associations were typically observed in the high-pollution (2014) and low-pollution (2018/2019) years. For instance, a 10 μg/m3 increase in PM2.5 at lag 0–5 was associated with increases of 1.8% (95%CI: 1.0%, 2.6%) and 2.3% (95%CI: 0.4%, 4.3%) in total skin disease visits in 2014 and 2018, respectively. Our study emphasizes the necessity of controlling the potential health hazard of air pollutants on skin, although significant achievements in air quality control have been made in China.

scholarly journals Prayagraj: Air Pollution Profile and Policy Recommendations

2020 ◽  
Vol 15 (3) ◽  
pp. 560-573
Author(s):  
Sugandh Kumar Choudhary
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Nitrogen Dioxide ◽  
Air Pollutants ◽  
Ambient Air ◽  
Critical Zone ◽  
Rapid Urbanization ◽  
Time Period ◽  
The City ◽  
Pollution Profile

Air pollution is the fifth leading risk factor behind theworld – wide mortality. Ever growing population size feeding industrial activity through demand channel, vehicular pollution accompanied by rapid urbanization and burning of fossil fuels pose a serious threat to clean air. Some major air pollutants under study in the city of Prayagraj are Nitrogen Dioxide (NO2), Particulate Matter (PM10) and Sulphur Dioxide (SO2). Pollution profile of the city localityi.e. Rambagh, Johnstonganj, Alopibagh, Crossing Mahalakshmi talkies and Bharat Yantra Nigam are studied. PM10 level of exposure is serious in Crossing Mahalakshmi talkiesand Alopibagh area as exposure to very high level in the range of 250 – 400 µg/m3 occurs for the longest duration of time. Alopibagh, Johnstonganj and Rambagh shows critical level of Nitrogen Dioxide indicating higher vehicular movement in these areas. Trend wise, SO2 component has spiked above 12 µg/m3 at Rambagh, Johnstonganj and Alopibagh during the onset of winters season in 2016. Similar phenomenon was seen at Bharat Yantra Nigam and Crossing Mahalakshmi talkies during winter season of 2019. Arrival of monsoon tend to lower pollutants content in the outdoor ambient air quality. Overall air quality is in critical zone at Alopibagh for 45 per cent of the time period followed by Johnstonganj. Crossing Mahalakshmi talkies and Bharat Yantra Nigamshows critical air quality for more than 60 per cent of the time period which calls for urgent action to prevent them from entering the critical zone. Overall air quality of Prayagraj is range bound with air pollutants improve during the monsoon season. However, improvement in air quality has reduced in the last two years as fall in air pollutants is less in 2018 and 2019 monsoon compared to previous two years. The findings of the paper will help the administration, municipal corporation and various stake holders of the city to take targeted measures locality wise towards pollution control depending upon pollutants concentration and exposure area – wise. It will also raise public awareness about pollutant levels in their area.

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