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Data collected in Ostrava, Czech Republic and applied in a source apportionment model

Metadata Updated: November 12, 2020

These data support a published journal paper described as follows: A 14-week investigation during a warm and cold seasons was conducted to improve understanding of air pollution sources that might be impacting air quality in Ostrava, the Czech Republic. Fine particulate matter (PM2.5) samples were collected in consecutive 12-h day and night increments during spring and fall 2012 sampling campaigns. Sampling sites were strategically located to evaluate conditions in close proximity of a large steel works industrial complex, as well as away from direct influence of the industrial complex. These samples were analyzed for metals and other elements, organic and elemental (black) carbon, and polycyclic aromatic hydrocarbons (PAHs). The PM2.5 samples were supplemented with pollutant gases and meteorological parameters. We applied the EPA PMF v5.1 model with uncertainty estimate features to the Ostrava data set. Using the model's bootstrapping procedure and other considerations, six factors were determined to provide the optimum solution. Each model run consisted of 100 iterations to ensure that the solution represents a global minimum. The resulting factors were identified as representing coal (power plants), mixed Cl, crustal, industrial 1 (alkali metals and PAHs), industrial 2 (transition metals), and home heat/transportation. The home heating source is thought to be largely domestic boilers burning low quality fuels such as lignite, wood, and domestic waste. Transportation-related combustion emissions could not be resolved as a separate factor. Uncertainty estimates support the general conclusion that the factors identified as representing coal power and home heat/transportation dominate the percent contribution to fine mass. Apportionment of regulated individual species is also presented.

Two data files are provided to support the dataset. One provides the input data (concentrations and uncertainties) as used in the PMF source apportionment model. The other provides the processed data that directly support all quantitative information presented in the journal paper main text and supporting material.

This dataset is associated with the following publication: Conner , T., L. Černikovský, J. Novák, and R. Williams. Source apportionment with uncertainty estimates of fine particulate matter in Ostrava, Czech Republic using Positive Matrix Factorization. Atmospheric Pollution Research. Turkish National Committee for Air Pollution Research and Control, Izmir, TURKEY, 7(3): 503-512, (2016).

Access & Use Information

Public: This dataset is intended for public access and use. License: See this page for license information.

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Metadata Created Date November 12, 2020
Metadata Updated Date November 12, 2020

Metadata Source

Harvested from EPA ScienceHub

Additional Metadata

Resource Type Dataset
Metadata Created Date November 12, 2020
Metadata Updated Date November 12, 2020
Publisher U.S. EPA Office of Research and Development (ORD)
Identifier A-n8q2-159
Data Last Modified 2015-11-17
Public Access Level public
Bureau Code 020:00
Schema Version
Harvest Object Id d43f81e9-d2e2-46f0-a952-981d03279439
Harvest Source Id 04b59eaf-ae53-4066-93db-80f2ed0df446
Harvest Source Title EPA ScienceHub
Program Code 020:094
Publisher Hierarchy U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD)
Related Documents
Source Datajson Identifier True
Source Hash 2e88f7525523f2838a1a2bf1930b6e417ea33b2f
Source Schema Version 1.1

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