Source apportionment of polycyclic aromatic hydrocarbons (PAH) in heavily polluted parts of north-west bohemia

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44555601%3A13520%2F15%3A43886849" target="_blank" >RIV/44555601:13520/15:43886849 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.5593/SGEM2015/B41/S19.136" target="_blank" >http://dx.doi.org/10.5593/SGEM2015/B41/S19.136</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5593/SGEM2015/B41/S19.136" target="_blank" >10.5593/SGEM2015/B41/S19.136</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Source apportionment of polycyclic aromatic hydrocarbons (PAH) in heavily polluted parts of north-west bohemia

Popis výsledku v původním jazyce

Many air pollution studies use PMF (Positive Matrix Factorization) for source apportionment and almost all of them use airborne particulate data measured in seasonal campaigns. The non-campaign, continuously measured data on air quality differs from commonly used data sources: a) the measuring period is longer (every 3rd or 6th day in our study), b) the time series covers the whole year (not only months with the highest air pollution), c) it usually covers a longer time interval (many consecutive years)and finally d) the number of measured markers is lower. Regular air quality measuring realized by Czech Hydrometeorological Institute could be an interesting, publicly available data source for PMF analysis. We focused on densely populated areas of North-west Bohemia as it is known to be one of the most air polluted regions of the Czech Republic due to high concentration of coal power plants, open-cast coal mining and heavy industry activities. We applied PMF on four data sets (between

Název v anglickém jazyce

Source apportionment of polycyclic aromatic hydrocarbons (PAH) in heavily polluted parts of north-west bohemia

Popis výsledku anglicky

Many air pollution studies use PMF (Positive Matrix Factorization) for source apportionment and almost all of them use airborne particulate data measured in seasonal campaigns. The non-campaign, continuously measured data on air quality differs from commonly used data sources: a) the measuring period is longer (every 3rd or 6th day in our study), b) the time series covers the whole year (not only months with the highest air pollution), c) it usually covers a longer time interval (many consecutive years)and finally d) the number of measured markers is lower. Regular air quality measuring realized by Czech Hydrometeorological Institute could be an interesting, publicly available data source for PMF analysis. We focused on densely populated areas of North-west Bohemia as it is known to be one of the most air polluted regions of the Czech Republic due to high concentration of coal power plants, open-cast coal mining and heavy industry activities. We applied PMF on four data sets (between

Druh

D - Stať ve sborníku

CEP obor

DI - Znečištění a kontrola vzduchu

OECD FORD obor

—

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

International Multidisciplinary Scientific GeoConference, SGEM 215, Energy and Clean Technologies, Conference Procedings

ISBN

978-619-7105-38-4

ISSN

1314-2704

e-ISSN

—

Počet stran výsledku

8

Strana od-do

1057-1064

Název nakladatele

STEF92 Technology

Místo vydání

Sofia

Místo konání akce

Albena (BG)

Datum konání akce

18. 6. 2015

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

000371056000136