Detail
Článek
Článek online
FT
Medvik - BMČ
  • Je něco špatně v tomto záznamu ?

Atmospheric aerosol growth rates at different background station types

A. Holubová Šmejkalová, N. Zíková, V. Ždímal, H. Plachá, M. Bitter

. 2021 ; 28 (11) : 13352-13364. [pub] 20201112

Jazyk angličtina Země Německo

Typ dokumentu časopisecké články

Perzistentní odkaz   https://www.medvik.cz/link/bmc21011457

Grantová podpora
LM2018122 ACTRIS-CZ

E-zdroje Online Plný text

NLK ProQuest Central od 1997-03-01 do Před 1 rokem
Health & Medicine (ProQuest) od 1997-03-01 do Před 1 rokem
Public Health Database (ProQuest) od 1997-03-01 do Před 1 rokem

Highly time-resolved particle number size distributions (PNSDs) were evaluated during 5 years (2013-2017) at four background stations in the Czech Republic located in different types of environments-urban background (Ústí nad Labem), industrial background (Lom), agricultural background (National Atmospheric Observatory Košetice), and suburban background (Prague-Suchdol). The PNSD data was used for new particle formation event determination as well as growth rate (GR) and condensation sink (CS) calculations. The differences or similarities of these parameters were evaluated from perspectives of the different pollution load, meteorological condition, and regional or long-range transport. The median growth rate (4 nm h-1) is very similar at all stations, and the most frequent length of growth lasted between 2 and 4 h. Condensation sink reflects the pollution load at the individual station and their connection to the environment type. The highest median, CS = 1.34 × 10-2 s-1, was recorded at the urban station (Ústí nad Labem), and the lowest (CS = 0.85 × 10-2 s-1) was recorded at the agricultural station (National Atmospheric Observatory Košetice). Conditional probability function polar plots illustrate the influence of source location to GR. These primary potential emission sources involve traffic, operation of a power plant, and domestic heating.

Citace poskytuje Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc21011457
003      
CZ-PrNML
005      
20210713150931.0
007      
ta
008      
210420s2021 gw f 000 0|eng||
009      
AR
024    7_
$a 10.1007/s11356-020-11424-5 $2 doi
035    __
$a (PubMed)33184792
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a gw
100    1_
$a Holubová Šmejkalová, Adéla $u Czech Hydrometeorological Institute, Na Šabatce 2050/17, 143 06, Prague 4-Komořany, Czech Republic. adela.holubova@chmi.cz ; Air Quality Department, Košetice Observatory, Czech Hydrometeorological Institute, 39422, Košetice, Czech Republic. adela.holubova@chmi.cz ; Institute for Environmental Studies, Faculty of Science, Charles University, Benátská 2, 128 01, Prague 2, Czech Republic. adela.holubova@chmi.cz
245    10
$a Atmospheric aerosol growth rates at different background station types / $c A. Holubová Šmejkalová, N. Zíková, V. Ždímal, H. Plachá, M. Bitter
520    9_
$a Highly time-resolved particle number size distributions (PNSDs) were evaluated during 5 years (2013-2017) at four background stations in the Czech Republic located in different types of environments-urban background (Ústí nad Labem), industrial background (Lom), agricultural background (National Atmospheric Observatory Košetice), and suburban background (Prague-Suchdol). The PNSD data was used for new particle formation event determination as well as growth rate (GR) and condensation sink (CS) calculations. The differences or similarities of these parameters were evaluated from perspectives of the different pollution load, meteorological condition, and regional or long-range transport. The median growth rate (4 nm h-1) is very similar at all stations, and the most frequent length of growth lasted between 2 and 4 h. Condensation sink reflects the pollution load at the individual station and their connection to the environment type. The highest median, CS = 1.34 × 10-2 s-1, was recorded at the urban station (Ústí nad Labem), and the lowest (CS = 0.85 × 10-2 s-1) was recorded at the agricultural station (National Atmospheric Observatory Košetice). Conditional probability function polar plots illustrate the influence of source location to GR. These primary potential emission sources involve traffic, operation of a power plant, and domestic heating.
650    _2
$a aerosoly $x analýza $7 D000336
650    12
$a látky znečišťující vzduch $x analýza $7 D000393
650    12
$a znečištění ovzduší $x analýza $7 D000397
650    _2
$a monitorování životního prostředí $7 D004784
650    _2
$a pevné částice $x analýza $7 D052638
651    _2
$a Česká republika $7 D018153
655    _2
$a časopisecké články $7 D016428
700    1_
$a Zíková, Naděžda $u Institute for Environmental Studies, Faculty of Science, Charles University, Benátská 2, 128 01, Prague 2, Czech Republic ; Institute of Chemical Process Fundamentals, CAS, Rozvojová 135, 165 02, Prague 6, Czech Republic
700    1_
$a Ždímal, Vladimír $u Institute of Chemical Process Fundamentals, CAS, Rozvojová 135, 165 02, Prague 6, Czech Republic
700    1_
$a Plachá, Helena $u Czech Hydrometeorological Institute, Na Šabatce 2050/17, 143 06, Prague 4-Komořany, Czech Republic
700    1_
$a Bitter, Miroslav $u Czech Hydrometeorological Institute, Na Šabatce 2050/17, 143 06, Prague 4-Komořany, Czech Republic
773    0_
$w MED00001558 $t Environmental science and pollution research international $x 1614-7499 $g Roč. 28, č. 11 (2021), s. 13352-13364
856    41
$u https://pubmed.ncbi.nlm.nih.gov/33184792 $y Pubmed
910    __
$a ABA008 $b sig $c sign $y p $z 0
990    __
$a 20210420 $b ABA008
991    __
$a 20210713150928 $b ABA008
999    __
$a ok $b bmc $g 1649981 $s 1131836
BAS    __
$a 3
BAS    __
$a PreBMC
BMC    __
$a 2021 $b 28 $c 11 $d 13352-13364 $e 20201112 $i 1614-7499 $m Environmental science and pollution research international $n Environ. sci. pollut. res. int. $x MED00001558
GRA    __
$a LM2018122 $p ACTRIS-CZ
LZP    __
$a Pubmed-20210420

Najít záznam

Citační ukazatele

Nahrávání dat ...

Možnosti archivace

Nahrávání dat ...