Application of EPA CMB8.2 Model for Source Apportionment of Sediment PAHs in Lake Calumet, Chicago

2003 ◽  
Vol 37 (13) ◽  
pp. 2958-2965 ◽  
Author(s):  
An Li ◽  
Jae-Kil Jang ◽  
Peter A. Scheff
Keyword(s):  
Source Apportionment ◽  
Lake Calumet

Measurement of PM2.5 and Water-Soluble Ions at Central Tokyo, Japan and Source Apportionment

2016 ◽  
Vol 2 (2) ◽  
pp. 71-78
Author(s):  
Yoshika Sekine ◽  
◽  
Nami Takahashi ◽  
Yuri Ohkoshi ◽  
Akihiro Takemasa ◽  
...  
Keyword(s):  
Source Apportionment ◽  
Water Soluble ◽  
Soluble Ions ◽  
Water Soluble Ions

Source apportionment of particulate matter in China

2013 ◽  
Author(s):  
Baoqing Wang ◽  
Deqing Wang ◽  
Qitao Ma ◽  
Shuai Yin ◽  
Shu Yao
Keyword(s):  
Particulate Matter ◽  
Source Apportionment

scholarly journals First-Time Source Apportionment Analysis of Deposited Particulate Matter from a Moss Biomonitoring Study in Northern Greece

Atmosphere ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 208 ◽  
Author(s):  
Chrysoula Betsou ◽  
Evangelia Diapouli ◽  
Evdoxia Tsakiri ◽  
Lambrini Papadopoulou ◽  
Marina Frontasyeva ◽  
...  
Keyword(s):  
Source Apportionment ◽  
Power Plants ◽  
Soil Dust ◽  
Northern Greece ◽  
Mining Operations ◽  
Moss Species ◽  
Elemental Concentrations ◽  
Pmf Model ◽  
Moss Biomonitoring ◽  
High Concentrations

Moss biomonitoring is a widely used technique for monitoring the accumulation of trace elements in airborne pollution. A total of one hundred and five samples, mainly of the Hypnum cupressiforme Hedw. moss species, were collected from the Northern Greece during the 2015/2016 European ICP Vegetation (International Cooperative Program on Effects of Air Pollution on Natural Vegetation and Crops) moss survey, which also included samples from the metalipherous area of Skouries. They were analyzed by means of neutron activation analysis, and the elemental concentrations were determined. A positive matrix factorization (PMF) model was applied to the results obtained for source apportionment. According to the PMF model, five sources were identified: soil dust, aged sea salt, road dust, lignite power plants, and a Mn-rich source. The soil dust source contributed the most to almost all samples (46% of elemental concentrations, on average). Two areas with significant impact from anthropogenic activities were identified. In West Macedonia, the emissions from a lignite power plant complex located in the area have caused high concentrations of Ni, V, Cr, and Co. The second most impacted area was Skouries, where mining activities and vehicular traffic (probably related to the mining operations) led to high concentrations of Mn, Ni, V, Co, Sb, and Cr.

Sediment source apportionment following wildfire in an upland commercial forest catchment

2021 ◽  
Author(s):  
Enrique Muñoz-Arcos ◽  
Alejandra Castillo ◽  
Alicia Cuevas-Aedo ◽  
Luis Ovando-Fuentealba ◽  
Alex Taylor ◽  
...  
Keyword(s):  
Source Apportionment ◽  
Sediment Source ◽  
Forest Catchment ◽  
Commercial Forest

scholarly journals Pb Content, Risk Level and Primary-Source Apportionment in Wheat and Rice Grains in the Lihe River Watershed, Taihu Region, Eastern China

2021 ◽  
Vol 18 (12) ◽  
pp. 6256
Author(s):  
Lian Chen ◽  
Shenglu Zhou ◽  
Qiong Yang ◽  
Qingrong Li ◽  
Dongxu Xing ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Health Risk ◽  
Source Apportionment ◽  
Health Risk Assessment ◽  
Eastern China ◽  
Assessment Model ◽  
Primary Sources ◽  
Risk Level ◽  
River Watershed ◽  
Rice Grains

This study detailed a complete research from Lead (Pb) content level to ecological and health risk to direct- and primary-sources apportionment arising from wheat and rice grains, in the Lihe River Watershed of the Taihu region, East China. Ecological and health risk assessment were based on the pollution index and US Environmental Protection Agency (EPA) health risk assessment model. A three-stage quantitative analysis program based on Pb isotope analysis to determine the relative contributions of primary sources involving (1) direct-source apportionment in grains with a two-end-member model, (2) apportionment of soil and dustfall sources using the IsoSource model, and (3) the integration of results of (1) and (2) was notedly first proposed. The results indicated that mean contents of Pb in wheat and rice grains were 0.54 and 0.45 mg/kg and both the bio-concentration factors (BCF) were <<1; the ecological risk pollution indices were 1.35 for wheat grains and 1.11 for rice grains; hazard quotient (HQ) values for adult and child indicating health risks through ingestion of grains were all <1; Coal-fired industrial sources account for up to 60% of Pb in the grains. This study provides insights into the management of grain Pb pollution and a new method for its source apportionment.

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