scholarly journals Fine Particulate Matter Distribution in Makurdi and Otukpo Metropolis, Benue State - Nigeria

2015 ◽  
Vol 6 ◽  
pp. 139-144
Author(s):  
T Sombo ◽  
A A Agbendeh ◽  
J O Tsor
Keyword(s):  
Particulate Matter ◽  
Fine Particulate Matter ◽  
Quality Standard ◽  
Control Measures ◽  
World Health ◽  
Emission Sources ◽  
Matter Distribution ◽  
Fine Particulate ◽  
Health Organization ◽  
Particulate Matter Distribution

The suspended fine particulate matter concentrations in Makurdi and Otukpo Metropolis were measured using Haz-Dust Sampler (AMS 95015). The measurements were carried out at major observed emission sources such as residential and traffic related sources. On the average, traffic- related sources recorded the highest concentration of suspended fine particulate matter in both metropolis with the highest concentration in Otukpo metropolis (594 : g/m ). Generally the measured values from all the sources are above World Health Organization (WHO) standards and National Air Quality Standard (150-230 : g/m 3 for 24 hrs). Results show that Otukpo metropolis has the highest fine particulate concentrations from residential and traffic related sources. In order to keep the suspended fine particulate concentrations from rising above prescribed standards, appropriate control measures are recommended.

scholarly journals Carbonaceous Aerosols in Fine Particulate Matter of Santiago Metropolitan Area, Chile

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Richard Toro Araya ◽  
Robert Flocchini ◽  
Rául G. E. Morales Segura ◽  
Manuel A. Leiva Guzmán
Keyword(s):  
Particulate Matter ◽  
Organic Carbon ◽  
Environmental Protection Agency ◽  
Fine Particulate Matter ◽  
Warm Season ◽  
The United States ◽  
Carbonaceous Aerosol ◽  
World Health ◽  
Carbonaceous Aerosols ◽  
Fine Particulate

Measurements of carbonaceous aerosols in South American cities are limited, and most existing data are of short term and limited to only a few locations. For 6 years (2002–2007), concentrations of fine particulate matter and organic and elemental carbon were measured continuously in the capital of Chile. The contribution of carbonaceous aerosols to the primary and secondary fractions was estimated at three different sampling sites and in the warm and cool seasons. The results demonstrate that there are significant differences in the levels in both the cold (March to August) and warm (September to February) seasons at all sites studied. The percent contribution of total carbonaceous aerosol fine particulate matter was greater in the cool season (53 ± 41%) than in the warm season (44 ± 18%). On average, the secondary organic carbon in the city corresponded to 29% of the total organic carbon. In cold periods, this proportion may reach an average of 38%. A comparison of the results with the air quality standards for fine particulate matter indicates that the total carbonaceous fraction alone exceeds the World Health Organization standard (10 µg/m3) and the United States Environmental Protection Agency standard (15 µg/m3) for fine particulate matter.

scholarly journals Spatial analysis of air masses backward trajectories in order to identify distant sources of fine particulate matter emission / Analiza przestrzenna wstecznych trajektorii mas powietrza w celu rozpoznania odległych źródeł emisji pyłu drobnego

2015 ◽  
Vol 41 (2) ◽  
pp. 28-35 ◽  
Author(s):  
Jolanta Godłowska ◽  
Monika J. Hajto ◽  
A. Monika Tomaszewska
Keyword(s):  
Particulate Matter ◽  
Spatial Analysis ◽  
Fine Particulate Matter ◽  
Emission Sources ◽  
Air Masses ◽  
Backward Trajectories ◽  
Particulate Matter Emission ◽  
Aggregate Information ◽  
Fine Particulate ◽  
The Impact

Abstract The paper presents a method of identifying distant emission sources of fine particulate matter PM2.5 affecting significantly PM2.5 concentrations at a given location. The method involves spatial analysis of aggregate information about PM2.5 concentrations measured at the location and air masses backward trajectories calculated by HYSPLIT model. The method was examined for three locations of PM2.5 measurement stations (Diabla Góra, Gdańsk, and Katowice) which represented different environmental conditions. The backward trajectories were calculated starting from different heights (30, 50, 100 and 150 m a. g. l.). All points of a single backward trajectory were assigned to the PM2.5 concentration corresponding to the date and the site of the beginning of trajectory calculation. Daily average concentrations of PM2.5 were used, and in the case of Gdańsk also hourly ones. It enabled to assess the effectiveness of the presented method using daily averages if hourly ones were not available. Locations of distant sources of fine particulate matter emission were determined by assigning to each grid node a mean value of PM2.5 concentrations associated with the trajectories points located within the so-called search ellipse. Nearby sources of fine particulate matter emission were eliminated by filtering the trajectories points located close to each other (so-called duplicates). The analyses covered the period of January-March 2010. The results indicated the different origin of air masses in the northern and southern Poland. In Diabla Góra and Gdańsk the distant sources of fine particulate matter emission are identified in Belarus and Russia. In Katowice the impact of the Belarusian PM2.5 emission sources was also noted but as the most important fine particulate matter emission sources were considered those located in the area of Romania, Hungary, Slovakia and Ukraine.

scholarly journals A review of particulate matter emissions and impacts on human health: A focus on Canadian agricultural and rural emission sources

2018 ◽  
pp. 6.09-6.21 ◽  
Author(s):  
Jennifer Spencer ◽  
Bill Van Heyst
Keyword(s):  
Particulate Matter ◽  
Human Health ◽  
Negative Impact ◽  
Fine Particulate Matter ◽  
World Health ◽  
Health Impacts ◽  
Inorganic Aerosols ◽  
Particulate Matter Emissions ◽  
Health Organization ◽  
The Impact

Particulate matter (PM) has been documented in an increasing number of research studies as having a known or suspected negative impact on human health. The World Health Organization (WHO) estimates that 3.1 million deaths were caused by ambient fine particulate matter (PM2.5) in 2010. While many Canadian studies focus on health impacts from PM2.5, there is a gap with respect to rural sourced PM2.5 and health impacts in these areas. This paper reviews the impact PM2.5 has on Canadians’ health, investigates where PM2.5 data is being gathered, and outlines the sources of PM2.5 reported. Secondary inorganic aerosols that are formed in and around animal production facilities due to the higher prevalence of ammonia gas is of particular interest. The conclusion drawn is that the reporting and gathering of rural sourced PM2.5 data is lacking, leading to a gap in the data used to determine the impacts on Canadian human health.

Estimation of Contribution to PM2.5 from Ship Emissions over Korea

2020 ◽  
Author(s):  
Jihyun Seo ◽  
Nankyoung Moon
Keyword(s):  
Particulate Matter ◽  
Local Governments ◽  
Power Plants ◽  
Fine Particulate Matter ◽  
Emission Sources ◽  
Ship Emissions ◽  
Cargo Handling ◽  
Fine Particulate ◽  
Coal Power Plants ◽  
The Government

<p>In order to manage fine particulate matter, class 1 carcinogen, various policies are being prepared by the government. The government announced a set a policy measures to confront pollution issues in November 2019. Diesel cars classified as grade 5 will be banned and maximum 27 coal power plants would be plugged off from December to March when fine particulate matter usually worsen to curtail air pollution by more than 20 percent. Despite such efforts, however, it is difficult to improve the concentration of fine particulate matter. In particular, as fine particulate matter management policies are biased toward the management of coal power plants or diesel cars, port and ship emissions management are relatively insufficient.</p><p>In the case of major Korea’s port cities such as Busan and Incheon, the impacts of fine particulate matter from ship emissions are analyzed to be significant. In particular, the use of low-grade fuel such as bunker C oil, which has high sulfur content, generates a large amount of fine particulate matter and other air pollutants. As such, for fine particulate matter management in port areas, the impact of ships, cargo handling equipment and cargo trucks, which are major sources of emissions, needs to be quantitatively understood.</p><p>Under this background, the emission characteristics of ship emissions were identified by using national air pollutants emissions data in 2015, which improved the calculation method of ship emission sources and the contribution concentration of PM2.5 was analyzed using WRF and CMAQ/BFM. The modelling period is one year in 2016, and the resolution of 9km modeling was applied to Korea.</p><p>As one of the main results, the annual mean PM2.5 contribution concentration from domestic ship emission sources was analyzed to be 0.57μg/㎥, and the PM2.5 contribution concentration by local governments was calculated to be most affected by the 1.39μg/㎥ in Busan. The results of this study have not taken into account additional sources of emissions such as cargo handling equipment and cargo trucks using ports, and if this is taken into account, the actual contribution concentration of PM2.5 in port areas is expected to be higher.</p><p>The results of this research can be used as basic data when establishing policies for reducing fine particulate matter by major emission sources by local governments.</p>

scholarly journals Assessment of Population Exposure to Coarse and Fine Particulate Matter in the Urban Areas of Chennai, India

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Ramachandran Prasannavenkatesh ◽  
Ramachandran Andimuthu ◽  
Palanivelu Kandasamy ◽  
Geetha Rajadurai ◽  
Divya Subash Kumar ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Urban Areas ◽  
Respiratory Health ◽  
Fine Particulate Matter ◽  
Population Data ◽  
Epidemiological Studies ◽  
World Health ◽  
Population Exposure ◽  
Fine Particulates ◽  
Fine Particulate

Research outcomes from the epidemiological studies have found that the course (PM10) and the fine particulate matter (PM2.5) are mainly responsible for various respiratory health effects for humans. The population-weighted exposure assessment is used as a vital decision-making tool to analyze the vulnerable areas where the population is exposed to critical concentrations of pollutants. Systemic sampling was carried out at strategic locations of Chennai to estimate the various concentration levels of particulate pollution during November 2013–January 2014. The concentration of the pollutants was classified based on the World Health Organization interim target (IT) guidelines. Using geospatial information systems the pollution and the high-resolution population data were interpolated to study the extent of the pollutants at the urban scale. The results show that approximately 28% of the population resides in vulnerable locations where the coarse particulate matter exceeds the prescribed standards. Alarmingly, the results of the analysis of fine particulates show that about 94% of the inhabitants live in critical areas where the concentration of the fine particulates exceeds the IT guidelines. Results based on human exposure analysis show the vulnerability is more towards the zones which are surrounded by prominent sources of pollution.

scholarly journals Examining the Spatio-temporal Dynamics of PM2.5 in Saudi Arabia Using Satellite-derived Data: A Cluster Study

2016 ◽  
Author(s):  
Yusuf Aina ◽  
Elhadi Adam ◽  
Fethi Ahmed
Keyword(s):  
Cluster Analysis ◽  
Saudi Arabia ◽  
Particulate Matter ◽  
Urban Areas ◽  
Temporal Dynamics ◽  
Fine Particulate Matter ◽  
Temporal Variations ◽  
World Health ◽  
Self Organizing Map ◽  
Fine Particulate

The study of the concentrations and effects of fine particulate matter in urban areas have been of great interest to researchers in recent times. This is due to the acknowledgment of the far-reaching impacts of fine particulate matter on public health. Remote sensing data have been used to monitor the trend of concentrations of particulate matter by deriving aerosol optical depth (AOD) from satellite images. The Center for International Earth Science Information Network (CIESIN) has released the second version of its global PM2.5 data with improvement in spatial resolution. This paper revisits the study of spatial and temporal variations in particulate matter in Saudi Arabia by exploring the cluster analysis of the new data. Cluster analysis of the PM2.5 values of Saudi cities is performed by using Anselin local Moran’s I statistic. Also, the analysis is carried out at the regional level by using self-organizing map (SOM). The results show an increasing trend in the concentrations of particulate matter in Saudi Arabia, especially in some selected urban areas. The eastern and south-western parts of the Kingdom have significantly clustering high values. Some of the PM2.5 values have passed the threshold indicated by the World Health Organization (WHO) standard and targets posing health risks to Saudi urban population.

scholarly journals Impact of air pollution control measures and regional transport on carbonaceous aerosols in fine particulate matter in urban Beijing, China: insights gained from long-term measurement

2019 ◽  
Vol 19 (13) ◽  
pp. 8569-8590 ◽  
Author(s):  
Dongsheng Ji ◽  
Wenkang Gao ◽  
Willy Maenhaut ◽  
Jun He ◽  
Zhe Wang ◽  
...  
Keyword(s):  
Air Pollution ◽  
Particulate Matter ◽  
Air Quality ◽  
Pollution Control ◽  
Fine Particulate Matter ◽  
Control Measures ◽  
Air Pollution Control ◽  
Heavy Duty ◽  
Potential Source ◽  
Fine Particulate

Abstract. As major chemical components of airborne fine particulate matter (PM2.5), organic carbon (OC) and elemental carbon (EC) have vital impacts on air quality, climate change, and human health. Because OC and EC are closely associated with fuel combustion, it is helpful for the scientific community and policymakers assessing the efficacy of air pollution control measures to study the impact of control measures and regional transport on OC and EC levels. In this study, hourly mass concentrations of OC and EC associated with PM2.5 were semi-continuously measured from March 2013 to February 2018. The results showed that annual mean OC and EC concentrations declined from 14.0 to 7.7 µg m−3 and from 4.0 to 2.6 µg m−3, respectively, from March 2013 to February 2018. In combination with the data of OC and EC in previous studies, an obvious decreasing trend in OC and EC concentrations was found, which was caused by clean energy policies and effective air pollution control measures. However, no obvious change in the ratios of OC and EC to the PM2.5 mass (on average, 0.164 and 0.049, respectively) was recorded, suggesting that inorganic ions still contributed a lot to PM2.5. Based on the seasonal variations in OC and EC, it appeared that higher OC and EC concentrations were still observed in the winter months, with the exception of winter of 2017–2018. Traffic policies executed in Beijing resulted in nighttime peaks of OC and EC, caused by heavy-duty vehicles and heavy-duty diesel vehicles being permitted to operate from 00:00 to 06:00 (China standard time, UTC+8, for all times throughout the paper). In addition, the fact that there was no traffic restriction in weekends led to higher concentrations on weekends compared to weekdays. Significant correlations between OC and EC were observed throughout the study period, suggesting that OC and EC originated from common emission sources, such as exhaust of vehicles and fuel combustion. OC and EC levels increased with enhanced SO2, CO, and NOx concentrations while the O3 and OC levels were enhanced simultaneously when O3 concentrations were higher than 50 µg m−3. Non-parametric wind regression analysis was performed to examine the sources of OC and EC in the Beijing area. It was found that there were distinct hot spots in the northeast wind sector at wind speeds of approximately 0–6 km h−1, as well as diffuse signals in the southwestern wind sectors. Source areas further away from Beijing were assessed by potential source contribution function (PSCF) analysis. A high-potential source area was precisely pinpointed, which was located in the northwestern and southern areas of Beijing in 2017 instead of solely in the southern areas of Beijing in 2013. This work shows that improvement of the air quality in Beijing benefits from strict control measures; however, joint prevention and control of regional air pollution in the regions is needed for further improving the air quality. The results provide a reference for controlling air pollution caused by rapid economic development in developing countries.

scholarly journals Effect of the summer monsoon on aerosols at two measurement stations in Northern India – Part 1: PM and BC concentrations

2011 ◽  
Vol 11 (16) ◽  
pp. 8271-8282 ◽  
Author(s):  
A.-P. Hyvärinen ◽  
T. Raatikainen ◽  
D. Brus ◽  
M. Komppula ◽  
T. S. Panwar ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Black Carbon ◽  
Summer Monsoon ◽  
Monsoon Season ◽  
Quality Standard ◽  
World Health ◽  
New Delhi ◽  
Northern India ◽  
Transition Times ◽  
Health Organization

Abstract. Particulate matter (PM) and equivalent black carbon (BCe) concentrations were measured at two locations in northern India during 2006–2010. The first measurement station was a background site in Mukteshwar, about 350 km northeast of New Delhi, in the foothills of the Indian Himalayas. The second measurement site was located in Gual Pahari, about 25 km south of New Delhi. Here we focused on resolving the effects of the Indian summer monsoon on the particulate matter and equivalent black carbon concentrations at two stations. The average monsoon time concentrations were decreased by 55–70 % compared to the pre-monsoon average concentrations at both stations, decreasing as a function of the total local rainfall during the monsoon season. In Mukteshwar during the monsoon, the 24 h PM2.5 concentrations were nearly always below the Indian National Air Quality Standard of 60 μg m−3. In Gual Pahari, 13 % of days exceeded this level during the monsoon season. However, the 24 h guideline of 25 μg m−3 given by the World Health Organization was more difficult to meet. In addition to loss processes, aerosol concentrations during the early monsoon were found to be affected by primary emissions, most likely from dust events from the Thar Desert. This resulted in elevated fractions of the coarse mode, PM2.5–10 at both stations. In Mukteshwar, additional dust contribution came from east of the station, from the Himalayan region. We also determined the characteristic transition times between the pre-monsoon, monsoon and post-monsoon. The onset and withdrawal transitions occurred faster in Mukteshwar than in Gual Pahari, both being typically less than 10 days. Transition periods in Gual Pahari took between 17 and 31 days. The shorter transition times in Mukteshwar were probably related to the more intense rains due to the mountain location, and the fact that the station was most of the time in the free troposphere.

Sign in / Sign up

Export Citation Format

Share Document