scholarly journals ANALISIS HUBUNGAN PARAMETER CUACA TERHADAP KONSENTRASI POLUTAN (PM2.5 DAN CO) DI WILAYAH JAKARTA SELAMA PERIODE WORK FROM HOME (WFH) MARET 2020

2021 ◽  
Vol 22 (2) ◽  
pp. 85-94
Author(s):  
Rini Mariana Sibarani ◽  
Halda Aditya Belgaman ◽  
Ibnu Athoillah ◽  
Samba Wirahma
Keyword(s):  
Air Pollution ◽  
Pollution Index ◽  
Relationship Analysis ◽  
Work From Home ◽  
Pollutant Concentrations ◽  
Particulate Pollutants ◽  
Co Concentration ◽  
Public Areas ◽  
Weather Parameters ◽  
The Government

Intisari Selama ini Jakarta dikenal dengan kota berpolusi dengan indeks pencemaran udara yang cukup tinggi. Salah satu penyebab pencemaran udara adalah polutan partikulat (PM2.5) dan gas CO yang berasal dari pembakaran tidak sempurna. Pada masa pandemi Covid-19, pemerintah menerapkan  kebijakan Pemberlakuan Pembatasan Kegiatan Masyarakat (PPKM) untuk menekan jumlah penularan virus Covid-19. Jakarta Pusat sebagai salah satu kota yang melaksanakan kebijakan PPKM mewajibkan perkantoran yang ada untuk menerapkan Work From Home (WFH). Jumlah konsentrasi polusi udara PM2.5 pada periode WFH Maret 2020 tidak jauh berbeda dibandingkan lima tahun sebelumnya. Sedangkan konsentrasi CO pada periode yang sama mengalami penurunan dibandingkan lima tahun sebelumnya. Hasil analisis hubungan antara pengaruh parameter cuaca dengan konsentrasi polutan menunjukkan pengaruh parameter cuaca kurang signifikan terhadap konsentrasi PM2.5 dan gas CO. Nilai R-Square adj antara beberapa parameter cuaca terhadap konsentrasi PM2.5 dan konsentrasi CO cukup kecil. Hal ini menunjukkan bahwa pengurangan nilai konsentrasi PM2.5 dan gas CO bukan dipengaruhi oleh parameter cuaca. Faktor lain yang diduga memengaruhi konsentrasi PM2.5 dan gas CO adalah kegiatan manusia seperti WFH sehingga terjadi pengurangan aktivitas masyarakat untuk pergi ke kantor. Abstract Jakarta is known as a polluted city with a high air pollution index. One of the air pollution causes is particulate pollutants (PM2.5) and CO from incomplete combustion. During the Covid-19 pandemic, the government implemented a policy of Community Activity Restrictions, known as PPKM, to reduce the number of transmissions of the Covid-19. As one of the cities implementing the PPKM policy, Central Jakarta requires offices to implement Work From Home (WFH). The total PM2.5 air pollution concentration in the March 2020 WFH period was not much different from the previous five years. However, the CO concentration in the same period decreased compared to the last five years. Relationship analysis between the influence of weather parameters and pollutant concentrations shows that weather parameters are less significant on PM2.5 and CO concentration. The R-Square adj between several weather parameters on the concentration of PM2.5 and the concentration of CO is small. It means that weather parameters do not influence the reduction in the concentration of PM2.5 and CO. It is assumed that the PM2.5 and CO concentrations decreased due to fewer human activities in the office and public areas.

PROBLEMS CAUSED BY SMALL PIG FARM ODOR AROUND THE WESTERN SONGKHLA LAKE BASIN

2017 ◽  
Vol 2 (1) ◽  
pp. 1-13
Author(s):  
Papontee Teeraphan
Keyword(s):  
Air Pollution ◽  
Lake Basin ◽  
Urgent Problem ◽  
The Public ◽  
Pig Farms ◽  
Pig Farm ◽  
The Government ◽  
The Moment ◽  
Source Of Information ◽  
Proper Solutions

Pollution is currently a significant issue arising awareness throughout the world. In Thailand, pollution can often be seen in any part of the country. Air pollution is pointed as an urgent problem. This pollution has not damaged only to human health and lives, it has destroyed environment, and possibly leading to violence. In Phattalung, air pollution is affecting to the residents’ lives. Especially, when the residents who are mostly agriculturists have not managed the waste resulted from the farm. In Phattalung, at the moment, there are many pig farms, big and small. Some of them are only for consuming for a family, some, however, are being consumed for the business which pigs will be later purchased by big business companies. Therefore, concerning pollution, the researcher and the fund giver were keen to focus on the points of the air pollution of the small pig farms. This is because it has been said that those farms have not been aware on the pollution issue caused by the farms. Farm odor is very interesting which can probably lead to following problems. The researcher also hopes that this research can be used as a source of information by the government offices in order to be made even as a policy or a proper legal measurement. As the results, the study shows that, first, more than half of the samples had smelled the farm odor located nearby their communities, though it had not caused many offenses. Second, the majority had decided not to act or response in order to solve the odor problem, but some of them had informed the officers. The proper solutions in reducing offenses caused by pig farm odor were negotiation and mediation. Last, the majority does not perceive about the process under the Public Health Act B.E. 2535.

ANALISIS PENGUKURAN KONSENTRASI KARBONMONOKSIDA (CO) PADA BREATHING ZONE PETUGAS PARKIR BASEMENT MALL KOTA BANDUNG

2019 ◽  
Author(s):  
Gede H Cahyana
Keyword(s):  
Air Pollution ◽  
Indoor Air ◽  
Indoor Air Pollution ◽  
Sampling Method ◽  
Breathing Zone ◽  
Gas Concentration ◽  
Average Value ◽  
Co Concentration ◽  
Personal Dosimeter ◽  
Co Gas

Indoor air pollution in closed room is one of the air pollution that gives serious threats to human health. One of them come from vehicle gas emissions in closed parking area. This research identifies and analyses CO concentration measured in Mall X parking man’s breathing zone with closed parking area and in Mall Y semi-opened parking area. CO measurement carried out by passive sampling method using Personal Dosimeter Tubes. Measurement result of CO gas concentration to parking man’s breathing zone in Mall X was 25 – 81,25 ppm with average value in 50 ± 26,15 ppm. Meanwhile CO gas concentration in Mall Y gave result 3,13 – 12,5 ppm with average value in 7,88 ± 4,36 ppm. Correlation value between CO concentration and its intake in Mall X area was 0,9983, meanwhile correlation value between CO concentration and its intake in Mall Y area was 0,9903. It was concluded that CO gas concentration measured in parking man’s breathing zone influenced the differences of CO intake value in significance value.

scholarly journals Influence of Straw Burning on Urban Air Pollutant Concentrations in Northeast China

2019 ◽  
Vol 16 (8) ◽  
pp. 1379 ◽  
Author(s):  
Zhenzhen Wang ◽  
Jianjun Zhao ◽  
Jiawen Xu ◽  
Mingrui Jia ◽  
Han Li ◽  
...  
Keyword(s):  
Northeast China ◽  
Arable Land ◽  
Pollution Index ◽  
Air Pollutant ◽  
Thermal Anomalies ◽  
Pollutant Concentrations ◽  
Moderate Resolution ◽  
Resolution Imaging ◽  
Straw Burning ◽  
Moderate Resolution Imaging Spectroradiometer

Northeast China is China’s primary grain production base. A large amount of crop straw is incinerated every spring and autumn, which greatly impacts air quality. To study the degree of influence of straw burning on urban pollutant concentrations, this study used The Moderate-Resolution Imaging Spectroradiometer/Terra Thermal Anomalies & Fire Daily L3 Global 1 km V006 (MOD14A1) and The Moderate-Resolution Imaging Spectroradiometer/Aqua Thermal Anomalies and Fire Daily L3 Global 1 km V006 (MYD14A1) data from 2015 to 2017 to extract fire spot data on arable land burning and to study the spatial distribution characteristics of straw burning on urban pollutant concentrations, temporal variation characteristics and impact thresholds. The results show that straw burning in Northeast China is concentrated in spring and autumn; the seasonal spatial distributions of PM2.5, PM10 andAir Quality Index (AQI) in 41 cities or regions in Northeast China correspond to the seasonal variation of fire spots; and pollutants appear in the peak periods of fire spots. In areas where the concentration coefficient of rice or corn is greater than 1, the number of fire spots has a strong correlation with the urban pollution index. The correlation coefficient R between the number of burned fire spots and the pollutant concentration has a certain relationship with the urban distribution. Cities are aggregated in geospatial space with different R values.

scholarly journals Design of Road-Side Barriers to Mitigate Air Pollution near Roads

2021 ◽  
Vol 11 (5) ◽  
pp. 2391
Author(s):  
Jose I. Huertas ◽  
Javier E. Aguirre ◽  
Omar D. Lopez Mejia ◽  
Cristian H. Lopez
Keyword(s):  
Fluid Dynamics ◽  
Air Pollution ◽  
Computational Fluid Dynamics ◽  
Sulfur Hexafluoride ◽  
Computational Domain ◽  
Cfd Model ◽  
Near Surface ◽  
The Road ◽  
Pollutant Concentrations ◽  
Highly Correlated

The effects of using solid barriers on the dispersion of air pollutants emitted from the traffic of vehicles on roads located over flat areas were quantified, aiming to identify the geometry that maximizes the mitigation effect of air pollution near the road at the lowest barrier cost. Toward that end, a near road Computational Fluid Dynamics (NR-CFD) model that simulates the dispersion phenomena occurring in the near-surface atmosphere (<250 m high) in a small computational domain (<1 km long), via Computational Fluid Dynamics (CFD) was used. Results from the NR-CFD model were highly correlated (R2 > 0.96) with the sulfur hexafluoride (SF6) concentrations measured by the US-National Oceanic and Atmospheric Administration (US-NOAA) in 2008 downwind a line source emission, for the case of a 6m near road solid straight barrier and for the case without any barrier. Then, the effects of different geometries, sizes, and locations were considered. Results showed that, under all barrier configurations, the normalized pollutant concentrations downwind the barrier are highly correlated (R2 > 0.86) to the concentrations observed without barrier. The best cost-effective configuration was observed with a quarter-ellipse barrier geometry with a height equivalent to 15% of the road width and located at the road edge, where the pollutant concentrations were 76% lower than the ones observed without any barrier.

The path to a 2025 nuclear-free Taiwan: An analysis of dynamic competition among emissions, energy, and economy

2020 ◽  
pp. 0958305X2094998
Author(s):  
Chun Chih Chen
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
Nuclear Energy ◽  
Fossil Fuel ◽  
Percentage Error ◽  
Kuznets Curve ◽  
Energy Mix ◽  
Improve Energy Efficiency ◽  
Relationship Analysis ◽  
The Government

Taiwan intends to be nuclear free by 2025. This study employs the Lotka–Volterra competition model for sustainable development to analyze the emissions–energy–economy (3Es) issue to make appropriate policy suggestions for a nuclear-free transition. It also offers a new approach to naming the 3E relationship. The literature review shows that the environmental Kuznets curve accompanies the feedback and conservation hypotheses. In the 3E dynamics relationship analysis, the model shows a good mean absolute percentage error (<15%) for the model estimation. The key findings are as follows: 1) the fossil fuel-led economy exists; 2) CO2 emissions are reduced with nuclear energy consumption; 3) renewable energy is far from scale; 4) a complementary effect exists between fossil fuel and nuclear energy consumption; and 5) gas retrofitting and phasing out of nuclear seem imminent. In the energy transition, Taiwan drastically cuts nuclear energy without considering energy diversity due to which troubles might ensue. The priority issue for Taiwan’s energy mix is energy security. To deal with these concerns, this study suggests the government could improve energy efficiency, build a smart grid, develop carbon capture and storage, and reconsider putting nuclear energy back into the energy mix before renewable energy is scaled.

An Automated Mobile Laboratory for Continuous Monitoring of Atmospheric Pollutants

1980 ◽  
Vol 194 (1) ◽  
pp. 357-364
Author(s):  
R. M. Harrison ◽  
H. A. McCartney
Keyword(s):  
Continuous Monitoring ◽  
Air Pollutant ◽  
Atmospheric Pollutants ◽  
Gaseous Pollutants ◽  
Mobile Laboratory ◽  
Digital Form ◽  
Pollutant Concentrations ◽  
Particulate Pollutants ◽  
Nitrate Fertilizer ◽  
Wet Chemical

The construction and operation of an automated mobile laboratory for continuous air pollutant monitoring are described. The gaseous pollutants sulphur dioxide, nitric oxide, nitrogen dioxide and ozone are monitored continuously, whilst particulate pollutants are collected for subsequent wet chemical analysis. Gaseous pollutant concentrations together with measurements of wind direction and speed and solar radiation are recorded continuously in both analogue and digital form. The problems inherent in siting and operating the mobile laboratory are discussed and the analysis of monitoring data is illustrated with reference to a recent survey carried out in the vicinity of an ammonium nitrate fertilizer works.

Abstract 36: Mapping and Multilevel Modeling of Climate Change and Air Pollution With Risk of Stroke in the United States and China: Findings From the Drexel-SARI Low Carbon and Healthy City Study

Stroke ◽  
2016 ◽  
Vol 47 (suppl_1) ◽  
Author(s):  
Longjian Liu ◽  
Hui Liu ◽  
Xuan Yang ◽  
Feng Jia ◽  
Mingquan Wang
Keyword(s):  
Climate Change ◽  
Air Pollution ◽  
Air Quality ◽  
Pollution Index ◽  
The United States ◽  
Potential Interaction ◽  
Low Carbon ◽  
Multilevel Regression ◽  
Healthy City ◽  
Nationally Representative

Introduction and Hypothesis: Stroke is a leading cause of death and the major cause of disability in the world. However, few studies applied multilevel regression techniques to explore the association of stroke risk with climate change and air pollution. In the study, we aimed to test the hypothesis that the disproportionately distributed stroke rates across the counties and cities within a country are significantly associated with air pollution and temperature. Methods: We used data from U.S. 1118 counties in 49 states, which had estimated measures of particulate matter (PM)2.5 for the years 2010-2013, and data from China 120 cities in 32 provinces (including 4 municipalities), which had measures of Air Pollution Index (API) for the years 2012-2013. We assessed the association between air quality and prevalence of stroke using spatial mapping, autocorrelation and multilevel regression models. Results: Findings from the U.S. show that the highest average PM2.5 level was in July (10.2 μg/m3) and the lowest in October (7.63 μg/m3) for the years 2010-2013. Annual average PM2.5 levels were significantly different across the 1118 counties, and were significantly associated with stroke rates. Multilevel regression analysis indicated that the prevalence of stroke significantly increased by 1.19% for every 10 μg/m3 increase of PM2.5 (p<0.001). Significant variability in PM2.5 by states was observed (p=0.019). More than 70% of the variation in stroke rates existed across the counties (p=0.017) and 18.7% existed across the states (p=0.047). In China, the highest API was observed in the month of December, with a result of 75.76 in 2012 and 97.51 in 2013. The lowest API was observed in July, with a result of 51.21 in 2012, and 54.23 in 2013. Prevalence of stroke was significantly higher in cities with higher API concentrations. The associations between air quality and risk of stroke were significantly mediated by temperatures. Conclusions: The study, using nationally representative data, is one of the first studies to address a positive and complex association between air quality and prevalence of stroke, and a potential interaction effect of temperatures on the air - stroke association.

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