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 Using Microsoft© Power BI© to visualise Rustenburg Local Municipality’s Air Quality Data

2020 ◽  
Vol 30 (1) ◽  
Author(s):  
Caradee Yael Wright ◽  
Bianca Wernecke
Keyword(s):  
Air Quality ◽  
Ambient Air ◽  
Quality Standard ◽  
Data Availability ◽  
Quality Data ◽  
Business Analytics ◽  
Priority Area ◽  
Local Municipality ◽  
Ambient Air Quality Standard ◽  
Air Quality Data

Microsoft© Power BI© is a business analytics tool that visualises data in an accessible manner. It creates visual data reports quickly in a series of panels to give an overview of data while still offering access to more sophisticated visualisation methods too. Here, we explored the use of Power BI Desktop© to visualise and interpret air quality data for the Rustenburg Local Municipality. Rustenburg is located in the Waterberg-Bojanala Priority Area – the third air pollution priority area for air quality management. Ambient PM10 data for three cities, namely, Thlabane, Marikana and Boiketlong, were obtained for six years (2013-2018). Data underwent quality control before being imported into Power BI©. A four-panel dashboard was generated to show (in) compliance with the daily and annual average South African National Ambient Air Quality Standard for PM10, annual and average concentrations, frequency of exceedances and a summary of data availability by site. Generally, PM10 data quantity and quality were poor and where data were available, concentrations were high. This type of data visualisation tool can be applied with relative ease by Air Quality Officers and Environmental Health Practitioners for a snapshot overview of the air quality in their area of jurisdiction. The interactive dashboard is also useful for making graphics for policy documents and reports.

scholarly journals PM2.5 concentration and meteorological characteristics in Dhaka, Bangladesh

2020 ◽  
Vol 55 (2) ◽  
pp. 89-98
Author(s):  
Razib ◽  
AA Nayeem ◽  
MS Hossain ◽  
AK Majumder
Keyword(s):  
Air Quality ◽  
Meteorological Data ◽  
Winter Season ◽  
Ambient Air ◽  
Quality Standard ◽  
Average Concentration ◽  
World Health ◽  
Dhaka City ◽  
Department Of State ◽  
Health Organization

Air quality in Dhaka city is gradually deteriorating due to increase of pollutants in air. This study aims to assess the concentration of particulate matter (PM) with an aerodynamic diameter ≤2.5 μm (PM2.5) and its relationship with meteorological parameters in highly polluted Dhaka city. Data for PM2.5 has been collected from the Air Now Department of State (AirNow DOS) and meteorological data from Bangladesh Meteorological Department (BMD). Study observed that 31.9% of hourly Air Quality Index (AQI) category was unhealthy while the percentage of ‘Good’ was very few. The maximum monthly average concentration was found to be 192.97±89.30 μg/m3 in the month of January while minimum average concentration was 29.98±19.37 μg/m3 in July. Besides, it also found that winter season had highest PM2.5concentration among all seasons. Moreover, the annual concentration was found to be 79.94±75.55 μg/m3 in 2017 which exceeded the National Ambient Air Quality Standard (NAAQS) and World Health Organization (WHO) standard. A number of meteorological factors are affecting to this variation. It is also found that rainfall is negatively strong and significantly correlated with the concentration of PM2.5, due to ambient dust are being settle down in the lithosphere. Annual concentration of PM2.5 was 5 times higher than standard level. Bangladesh J. Sci. Ind. Res.55(2), 89-98, 2020

scholarly journals Trend of ambient air quality in Chittagong City

2012 ◽  
Vol 47 (3) ◽  
pp. 287-296
Author(s):  
MA Rouf ◽  
M Nasiruddin ◽  
AMS Hossain ◽  
MS Islam
Keyword(s):  
Air Quality ◽  
Ambient Air ◽  
Quality Standard ◽  
Average Concentration ◽  
Quality Data ◽  
Gaseous Pollutants ◽  
Ambient Air Quality ◽  
Monsoon Period ◽  
Ambient Air Quality Standard ◽  
Air Quality Data

The ambient air quality data for particulate matter as well as criteria of gaseous pollutants were collected during December 2006 to December 2008 at the Continuous Air Quality Monitoring Station (CAMS) located at TV center, Pahartoli, Chittagong. It was observed 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 327 ?g/m3 and 254.9 ?g/m3 24 hour average concentration in January 2007 and December 2008 respectively. Whether, the highest alarming concentration of PM10 was reported as 545 ?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 winter. DOI: http://dx.doi.org/10.3329/bjsir.v47i3.13062 Bangladesh J. Sci. Ind. Res. 47(3), 287-296 2012

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

2013 ◽  
Vol 807-809 ◽  
pp. 20-23 ◽  
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.

scholarly journals Analisis Debu Respirable terhadap Masyarakat di Kawasan Perumahan Sekitar Lokasi Pabrik PT. Semen Padang

Jurnal Dampak ◽  
2017 ◽  
Vol 13 (2) ◽  
pp. 1
Author(s):  
Vera Surtia Bachtiar ◽  
Puspa Safitri Sanggar Rani
Keyword(s):  
Air Quality ◽  
Negative Impact ◽  
Ambient Air ◽  
Quality Standard ◽  
Residential Area ◽  
Dust Concentration ◽  
Respirable Dust ◽  
Ambient Air Quality ◽  
Housing Complex ◽  
Ambient Air Quality Standard

The purpose of this research are to analysis air quality and dust impact to people that came from factory activities at residential area around factory location of PT. Semen Padang. Measuring of air quality conducted in 3 residential area that are Komplek RW 1, RT 3 Batu Gadang district, Perumnas Indarung RW. VII, and housing of UNAND Blok D Gadut, using Personal Dust Sampler. The result is respirable dust concentration at housing complex RW. 1 RT. 3 Batu Gadang district that is 0,33 mg/m, the Perumnas Indarung RW.VII that is 0,55 mg/m along with housing of UNAND Blok D Gadut that is 0,44 mg/m. Concentration of dust respirable at all are still below ambient air quality standard that exist on PP RI No. 41 Tahun 1999, 3 mg/m. Based on quesioner and puskesmas data proximate with use univariat analysis, negative impact who feels people are impact of health is eyes irritation disease and impact of environment especially community-owned material. Keywords: air quality, negative impact, residential area, respirable dust, PT. Semen Padang ABSTRAKPenelitian ini bermaksud untuk menganalisis kualitas udara dan dampak negatif yang dirasakan masyarakat dari debu yang berasal dari aktivitas pabrik di kawasan perumahan sekitar lokasi pabrik PT. Semen Padang. Pengukuran kualitas udara dilakukan di 3 kawasan perumahan yaitu komplek perumahan RW. 1 RT. 3 Kelurahan Batu Gadang, Perumnas Indarung RW. VII, dan Perumahan UNAND Blok D Gadut dengan menggunakan alat Personal Dust Sampler. Diperoleh hasil konsentrasi debu respirable pada komplek perumahan RT.3 RW.1 Kelurahan Batu Gadang sebesar 0,33 mg/m, pada Perumnas Indarung RW.VII sebesar 0,55 mg/m serta pada Perumahan UNAND Blok D Gadut sebesar 0,44 mg/m. Konsentrasi debu respirable pada ketiga lokasi masih berada di bawah ambang batas baku mutu udara di lingkungan, 3 mg/m. Berdasarkan kuesioner dan data puskesmas terdekat dengan menggunakan analisis univariat, dampak negatif yang dirasakan masyarakat adalah dampak terhadap kesehatan berupa penyakit iritasi mata dan dampak terhadap lingkungan khususnya pada kondisi material yang dimiliki masyarakat.Kata kunci: kualitas udara, dampak negatif, kawasan perumahan, debu respirable, PT. Semen Padang

scholarly journals Spatio-temporal of surface ozone (O3) variations at urban and suburban sites in Sarawak region of Malaysia

2021 ◽  
Vol 880 (1) ◽  
pp. 012004
Author(s):  
H Mahidin ◽  
M T Latif ◽  
A Hamdan ◽  
J Salleh ◽  
D Dominick ◽  
...  
Keyword(s):  
Air Quality ◽  
Surface Ozone ◽  
Ambient Air ◽  
Quality Standard ◽  
Transportation Systems ◽  
Pollutant Emissions ◽  
Daily Maximum ◽  
Spatio Temporal ◽  
Ambient Air Quality Standard ◽  
The Relationship

Abstract Sarawak Region of Malaysia is currently experiencing a high demand for capital needs such as transformation forest to plantations, economic development, and improving transportation systems. Those land cover changes will increase primary pollutant emissions and trigger surface O3 formation. Surface O3 is a secondary pollutant and a significant greenhouse gas contributing to climate change and declining air quality. In this study, variations in surface O3 concentrations at urban and suburban sites in Sarawak were explored using the Malaysian Department of Environment data spanning a two-year cycle (2018-2019). The primary aim of this study is to ascertain the variation of surface O3 concentrations reported at four monitoring stations in Sarawak, namely Kuching (SQ1) (Urban), Sibu (SQ2) (Suburban), Bintulu (SQ3) (Suburban), and Miri (SQ4) (Suburban). The study also analysed the relationship between O3 distribution and nitrogen oxides (NO and NO2). The findings showed that O3 concentrations observed in the region during the study period were lower than the maximum permissible value of 100 ppbv suggested by the Malaysian Ambient Air Quality Standard (2020). SQ4 (Miri) at suburban sites recorded the highest average surface O3 concentrations with an hourly average and daily maximum O3 concentration of 15.7 and 89.5 ppbv, respectively. Temperatures, UV exposure, and wind speed all impact the concentration of surface O3 in Sarawak. In all stations, concentrations of O3 were inversely linked with NO, NO2, and relative humidity (RH). This research will assist the relevant agency in forecast, monitor, and mitigate the level of O3 in the ambient environment, especially in the Sarawak Region.

Economic Analysis of Residents’ Health Potential Benefits from PM2.5 Reduction Caused by New Ambient Air Quality Standard in Beijing

2012 ◽  
Vol 524-527 ◽  
pp. 3371-3375
Author(s):  
Xiu Teng Wang ◽  
Ya Jing Zhang ◽  
Ling Xu ◽  
Ling Lin ◽  
Dong Feng Gao ◽  
...  
Keyword(s):  
Air Quality ◽  
Ambient Air ◽  
Economic Loss ◽  
Quality Standard ◽  
Point Of View ◽  
Ambient Air Quality ◽  
Potential Benefits ◽  
Ambient Air Quality Standard ◽  
First Time ◽  
Pm2.5 Concentration

PM2.5 pollution causes great health hazards, which will finally result in much economic loss. In China, it is first time to take PM2.5 as a general limitation factor in the revised version of "Ambient Air Quality Standard". In this work, we take Beijing as investigation objective, choose five kinds of typical health impacts, and make rough economic estimation of the potential benefits from the decrease of PM2.5 concentration through the epidemic-doses model in a quantitative point of view. Assuming the PM2.5 pollution is controlled well and satisfies the requirement of Grade 2 and 1 of new standard, 1681 and 2269 million Yuan will be saved in Beijing considering only health aspects. So it is necessary to take PM2.5 into the new ambient air quality standard as a general indicator, which is overall beneficial for environment and economy.

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