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    An Air Stagnation Index to Qualify Extreme Haze Events in Northern China

    Source: Journal of the Atmospheric Sciences:;2018:;volume 075:;issue 010::page 3489
    Author:
    Feng, Jin
    ,
    Quan, Jiannong
    ,
    Liao, Hong
    ,
    Li, Yanjie
    ,
    Zhao, Xiujuan
    DOI: 10.1175/JAS-D-17-0354.1
    Publisher: American Meteorological Society
    Abstract: AbstractStagnation weather affects atmospheric diffusion ability, and hence causes the occurrence of haze events, which have been happening frequently in northern China (NC). This work puts forward an air stagnation index (ASITS) to characterize the stagnation weather in NC, in which the processes of ventilation, vertical diffusion, and wet deposition potency are concerned. ASITS can be applied to analyze air stagnation conditions with daily to monthly time scale. It is shown that the ASITS and particulate matter smaller than 2.5 ?m in diameter (PM2.5) concentrations own similar lognormal probability distribution functions on both daily and monthly time scales. And the correlation analyses between the ASITS and PM2.5 concentrations indicate that the ASITS can reflect the monthly and daily variations in PM2.5 concentrations in NC. In addition, ASITS could be used as a leading predictor of haze events since correlation coefficients of ASITS leading PM2.5 concentrations by 1 day were significant and were larger than simultaneous correlation coefficients in almost all areas in NC. The robust relationship between ASITS and PM2.5 concentrations exists possibly because the index can reflect the activities of synoptic systems. ASITS could be a useful statistical indicator for variations in PM2.5 concentrations and haze events, and a good tool in analyzing the relationship between climate change and long-term variations in haze in NC.
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      An Air Stagnation Index to Qualify Extreme Haze Events in Northern China

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    contributor authorFeng, Jin
    contributor authorQuan, Jiannong
    contributor authorLiao, Hong
    contributor authorLi, Yanjie
    contributor authorZhao, Xiujuan
    date accessioned2019-09-19T10:07:51Z
    date available2019-09-19T10:07:51Z
    date copyright8/13/2018 12:00:00 AM
    date issued2018
    identifier otherjas-d-17-0354.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4261869
    description abstractAbstractStagnation weather affects atmospheric diffusion ability, and hence causes the occurrence of haze events, which have been happening frequently in northern China (NC). This work puts forward an air stagnation index (ASITS) to characterize the stagnation weather in NC, in which the processes of ventilation, vertical diffusion, and wet deposition potency are concerned. ASITS can be applied to analyze air stagnation conditions with daily to monthly time scale. It is shown that the ASITS and particulate matter smaller than 2.5 ?m in diameter (PM2.5) concentrations own similar lognormal probability distribution functions on both daily and monthly time scales. And the correlation analyses between the ASITS and PM2.5 concentrations indicate that the ASITS can reflect the monthly and daily variations in PM2.5 concentrations in NC. In addition, ASITS could be used as a leading predictor of haze events since correlation coefficients of ASITS leading PM2.5 concentrations by 1 day were significant and were larger than simultaneous correlation coefficients in almost all areas in NC. The robust relationship between ASITS and PM2.5 concentrations exists possibly because the index can reflect the activities of synoptic systems. ASITS could be a useful statistical indicator for variations in PM2.5 concentrations and haze events, and a good tool in analyzing the relationship between climate change and long-term variations in haze in NC.
    publisherAmerican Meteorological Society
    titleAn Air Stagnation Index to Qualify Extreme Haze Events in Northern China
    typeJournal Paper
    journal volume75
    journal issue10
    journal titleJournal of the Atmospheric Sciences
    identifier doi10.1175/JAS-D-17-0354.1
    journal fristpage3489
    journal lastpage3505
    treeJournal of the Atmospheric Sciences:;2018:;volume 075:;issue 010
    contenttypeFulltext
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