scholarly journals A novel approach to comparing simultaneous size-segregated particulate matter (PM) concentration ratios by means of a dedicated triangular diagram using the Agri Valley PM measurements as an example

2014 ◽  
Vol 14 (10) ◽  
pp. 2727-2733 ◽  
Author(s):  
A. Speranza ◽  
R. Caggiano ◽  
S. Margiotta ◽  
S. Trippetta
Keyword(s):  
Particulate Matter ◽  
Southern Italy ◽  
Aerosol Particles ◽  
Pm10 Concentration ◽  
Urban Site ◽  
Similar Data ◽  
Triangular Diagram ◽  
Basilicata Region ◽  
Novel Approach ◽  
Concentration Ratios

Abstract. This work presents a novel approach to comparing and graphically representing simultaneous concentration measurements of PM10, PM2.5 and PM1 (i.e., aerosol particles with aerodynamic diameters less than 10, 2.5 and 1 μm, respectively) with similar data reported in the literature using PM2.5/PM10 and PM1/PM10 concentration ratios. With this aim, a dedicated triangular diagram was used. The proposed approach was applied to size-segregated particulate matter (PM) concentrations recorded in the Agri Valley (Basilicata region – southern Italy). Results show that the PM10, PM2.5 and PM1 concentrations recorded in the Agri Valley are comparable both in terms of PM concentration ratios and PM levels to an urban site.

scholarly journals A novel approach to compare simultaneous size-segregated particulate matter (PM) concentration ratios by means of a dedicated triangular diagram using the Agri Valley PM measurements as an example

2014 ◽  
Vol 2 (6) ◽  
pp. 3919-3934
Author(s):  
A. Speranza ◽  
R. Caggiano ◽  
S. Margiotta ◽  
S. Trippetta
Keyword(s):  
Particulate Matter ◽  
Southern Italy ◽  
Aerosol Particles ◽  
Pm10 Concentration ◽  
Urban Site ◽  
Similar Data ◽  
Triangular Diagram ◽  
Basilicata Region ◽  
Novel Approach ◽  
Concentration Ratios

Abstract. This work presents a novel approach to compare and graphically represent simultaneous concentration measurements of PM10, PM2.5 and PM1 (i.e., aerosol particles with aerodynamic diameters less than 10, 2.5 and 1 μm, respectively) with similar data reported in literature using PM2.5/PM10 and PM1/PM10 concentration ratios. To this aim, a dedicated triangular diagram was used. The proposed approach was applied to size-segregated PM concentrations recorded in Agri Valley (Basilicata Region – southern Italy). Results shows that the PM10, PM2.5 and PM1 concentrations recorded in the Agri Valley are comparable both in terms of PM concentration ratios and PM levels to an urban site.

scholarly journals Relationships between Meteorological Parameters and Particulate Matter in Mae Hong Son Province, Thailand

2018 ◽  
Vol 15 (12) ◽  
pp. 2801 ◽  
Author(s):  
Wissanupong Kliengchuay ◽  
Aronrag Cooper Meeyai ◽  
Suwalee Worakhunpiset ◽  
Kraichat Tantrakarnapa
Keyword(s):  
Air Pollution ◽  
Particulate Matter ◽  
Meteorological Parameters ◽  
Warning System ◽  
Correlation Coefficients ◽  
Pm10 Concentration ◽  
P Value ◽  
Climate Data ◽  
High Concentration ◽  
Ambient Concentrations

Meteorological parameters play an important role in determining the prevalence of ambient particulate matter (PM) in the upper north of Thailand. Mae Hong Son is a province located in this region and which borders Myanmar. This study aimed to determine the relationships between meteorological parameters and ambient concentrations of particulate matter less than 10 µm in diameter (PM10) in Mae Hong Son. Parameters were measured at an air quality monitoring station, and consisted of PM10, carbon monoxide (CO), ozone (O3), and meteorological factors, including temperature, rainfall, pressure, wind speed, wind direction, and relative humidity (RH). Nine years (2009–2017) of pollution and climate data obtained from the Thai Pollution Control Department (PCD) were used for analysis. The results of this study indicate that PM10 is influenced by meteorological parameters; high concentration occurred during the dry season and northeastern monsoon seasons. Maximum concentrations were always observed in March. The PM10 concentrations were significantly related to CO and O3 concentrations and to RH, giving correlation coefficients of 0.73, 0.39, and −0.37, respectively (p-value < 0.001). Additionally, the hourly PM10 concentration fluctuated within each day. In general, it was found that the reporting of daily concentrations might be best suited to public announcements and presentations. Hourly concentrations are recommended for public declarations that might be useful for warning citizens and organizations about air pollution. Our findings could be used to improve the understanding of PM10 concentration patterns in Mae Hong Son and provide information to better air pollution measures and establish a warning system for the province.

A multidisciplinary approach for landslide residual risk assessment: the Pomarico landslide (Basilicata Region, Southern Italy) case study

Landslides ◽  
2020 ◽  
Author(s):  
Angela Perrone ◽  
Filomena Canora ◽  
Giuseppe Calamita ◽  
Jessica Bellanova ◽  
Vincenzo Serlenga ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Multidisciplinary Approach ◽  
Southern Italy ◽  
Residual Risk ◽  
Basilicata Region

Geotourism as a Specialization in the Territorial Context of the Basilicata Region (Southern Italy)

Geoheritage ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 1435-1445 ◽  
Author(s):  
A. Pilogallo ◽  
G. Nolè ◽  
F. Amato ◽  
L. Saganeiti ◽  
M. Bentivenga ◽  
...  
Keyword(s):  
Southern Italy ◽  
Basilicata Region

scholarly journals Minimizing Contamination from Plastic Labware in the Quantification of C16 and C18 Fatty Acids in Filter Samples of Atmospheric Particulate Matter and Their Utility in Apportioning Cooking Source Contribution to Urban PM2.5

Atmosphere ◽  
2020 ◽  
Vol 11 (10) ◽  
pp. 1120
Author(s):  
Yuk Ying Cheng ◽  
Jian Zhen Yu
Keyword(s):  
Fatty Acids ◽  
Hong Kong ◽  
Particulate Matter ◽  
Fatty Acid ◽  
Stearic Acid ◽  
Palmitic Acid ◽  
New Method ◽  
Urban Site ◽  
Plastic Syringe ◽  
Syringe Filter

Palmitic acid (C16:0) and stearic acid (C18:0) are among the most abundant products in cooking emission, and thus could serve as potential molecular tracers in estimating the contributions of cooking emission to particulate matter (PM2.5) pollution in the atmosphere. Organic tracer analysis in filter-based samples generally involves extraction by organic solvents, followed by filtration. In these procedures, disposable plastic labware is commonly used due to convenience and as a precaution against sample-to-sample cross contamination. However, we observed contamination for both C16:0 and C18:0 fatty acids, their levels reaching 6–8 ppm in method blanks and leading to their detection in 9% and 42% of PM2.5 samples from Hong Kong, indistinguishable from the blank. We present in this work the identification of plastic syringe and plastic syringe filter disc as the contamination sources. We further demonstrated that a new method procedure using glass syringe and stainless-steel syringe filter holder offers a successful solution. The new method has reduced the contamination level from 6.6 ± 1.2 to 2.6 ± 0.9 ppm for C16:0 and from 8.9 ± 2.1 to 1.9 ± 0.8 ppm for C18:0 fatty acid. Consequently, the limit of detection (LOD) for C16:0 has decreased by 57% from 1.8 to 0.8 ppm and 56% for C18:0 fatty acid from 3.2 to 1.4 ppm. Reductions in both LOD and blank variability has allowed the increase in quantification rate of the two fatty acids in ambient samples and thereby retrieving more data for estimating the contribution of cooking emission to ambient PM2.5. With the assistance of three cooking related tracers, palmitic acid (C16:0), stearic acid (C18:0) and cholesterol, positive matrix factorization analysis of a dataset of PM2.5 samples collected from urban Hong Kong resolved a cooking emission source. The results indicate that cooking was a significant local PM2.5 source, contributing to an average of 2.2 µgC/m3 (19%) to organic carbon at a busy downtown roadside location and 1.8 µgC/m3 (15%) at a general urban site.

INVESTIGATING THE TEMPORAL FLUCTUATIONS IN PARTICULATE MATTER DATA

2008 ◽  
Vol 08 (03n04) ◽  
pp. L401-L407
Author(s):  
LUCIANO TELESCA ◽  
ROSA CAGGIANO ◽  
VINCENZO LAPENNA ◽  
MICHELE LOVALLO ◽  
SERENA TRIPPETTA ◽  
...  
Keyword(s):  
Time Series ◽  
Particulate Matter ◽  
Power Spectrum ◽  
Spectrum Analysis ◽  
Aerosol Particles ◽  
Power Spectrum Analysis ◽  
Physical Processes ◽  
Temporal Fluctuations ◽  
Scaling Behaviour

The temporal fluctuations of particulate matter time series of three reference European stations have been investigated, by using the power spectrum analysis. Our results point out to the presence in particulate matter of annual periodicities superimposed on a scaling behaviour with exponent ranging between ~1.4 and ~1.6, indicating quite high persistent correlations. Furthermore, a crossover timescale at about 1 month, evidenced in all the signals analysed, could be linked with chemical-physical processes in which aerosol particles are involved during their atmospheric lifetimes.

scholarly journals An optimized tracer-based approach for estimating organic carbon emissions from biomass burning in Ulaanbaatar, Mongolia

2020 ◽  
Vol 20 (5) ◽  
pp. 3231-3247 ◽  
Author(s):  
Jayant Nirmalkar ◽  
Tsatsral Batmunkh ◽  
Jinsang Jung
Keyword(s):  
Organic Carbon ◽  
Biomass Burning ◽  
Quantitative Estimation ◽  
Water Soluble ◽  
Atmospheric Particulate Matter ◽  
Coefficient Of Determination ◽  
Urban Site ◽  
Air Sampler ◽  
Novel Approach ◽  
The Impact

Abstract. The impact of biomass burning (BB) on atmospheric particulate matter of <2.5 µm diameter (PM2.5) at Ulaanbaatar, Mongolia, was investigated using an optimized tracer-based approach during winter and spring 2017. Integrated 24 h PM2.5 samples were collected on quartz-fiber filters using a 30 L min−1 air sampler at an urban site in Ulaanbaatar. The aerosol samples were analyzed for organic carbon (OC) and elemental carbon (EC), anhydrosugars (levoglucosan, mannosan, and galactosan), and water-soluble ions. OC was found to be the predominant species, contributing 64 % and 56 % to the quantified aerosol components in PM2.5 in winter and spring, respectively. BB was identified as a major source of PM2.5, followed by dust and secondary aerosols. Levoglucosan ∕ mannosan and levoglucosan ∕ K+ ratios indicate that BB in Ulaanbaatar mainly originated from the burning of softwood. Because of the large uncertainty associated with the quantitative estimation of OC emitted from BB (OCBB), a novel approach was developed to optimize the OC ∕ levoglucosan ratio for estimating OCBB. The optimum OC ∕ levoglucosan ratio in Ulaanbaatar was obtained by regression analysis between OCnon-BB (OCtotal–OCBB) and levoglucosan concentrations that gives the lowest coefficient of determination (R2) and slope. The optimum OC ∕ levoglucosan ratio was found to be 27.6 and 18.0 for winter and spring, respectively, and these values were applied in quantifying OCBB. It was found that 68 % and 63 % of the OC were emitted from BB during winter and spring, respectively. This novel approach can also be applied by other researchers to quantify OCBB using their own chemical measurements. In addition to OCBB, sources of OCnon-BB were also investigated through multivariate correlation analysis. It was found that OCnon-BB originated mainly from coal burning, vehicles, and vegetative emissions.

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