Page 235 - 《高原气象》2022年第6期
P. 235

高     原      气     象                                 41 卷
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                    The Impact of Surface Synoptic Circulation Types on Air Quality and

                               the PM Concentration Forecast in Fen-Wei Plains
                                        2.5

                                             1,2
                                                                            2,3
                                      LIU Hui ,ZHANG Xuting ,HUANG Xin ,HU Bo        4
                                                              1
                                     (1. Shaanxi Meteorological Observatory,Xi’an 710014,Shaanxi,China;
                 2. Key Laboratory of Eco-Environment and Meteorology for the Qinling Mountains and Loess Plateau,Xi’an 710014,Shaanxi,China;
                                   3. Shaanxi Meteorological Information Center,Xi’an 710014,Shaanxi,China;
                    4. State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry,Institute of Atmospheric Physics,
                                            Chinese Academy of Sciences,Beijing 100029,China)

             Abstract:Based on the sea level pressure data from 2014 to 2018,Lamb-Jenkinson(L-J)atmospheric circula‐
             tion classification scheme was used to classify the surface synoptic circulation types during air pollution seasons
             in Fen-Wei Plains and their relationships with the PM 2. 5  concentration and surface meteorological elements were
             analyzed. Combining the observed PM 2. 5  mass concentration and mixing layer height,relative humidity,wind
             speed,retention index,a PM  2. 5  concentration forecast model was established in each city under different surface
             synoptic circulation types. The results show:(1)Occurrence frequencies of different surface circulation types
             vary,under which the distributions of PM concentration and meteorological elements differentiate also. Under
                                                  2. 5
             controls of circulation types South(S),South East(SE),East(E)and cyclone(C)the ratio of PM 2. 5  polluted
             days proportion to PM 2. 5  polluted days proportion under all synoptic circulation types were more than 1,corre‐
             sponding to a larger product of the occurrence frequency and the pollution days,which will lead to PM 2. 5  pollu‐
             tion events easily.(2)In the case of mild or above pollution in Xi 'an,the mixed layer height ranged from 483. 5
             m to 601. 38 m,the relative humidity ranged from 42. 94% to 64. 03%,the wind speed ranged from 1. 45 m∙s -1
                        -1
             to 2. 61 m∙s and the retention index ranged from 0. 13 to 0. 53. Under controls of circulation types S,SE,E and
                                                                                          -1
             C the average mixed layer height was 488. 98 m,the average wind speed was 1. 89 m∙s and the average reten‐
             tion index was 0. 46. Except for under type C,the mixed layer height was below 500 m on more than 60% of the
             sites,and the relative humidity over 60% on more than 50% of the sites. The wind speed was below 2 m∙s with
                                                                                                         -1
             a retention index more than 0. 4 on more than 60% of the sites under all four circulation types.(3)According to
             the PM concentration forecast models for different circulation patterns in each city,there exists a 0~1 level dif‐
                    2. 5
             ference between predicted level and measured level about 82% of all samples,where about 37% of all samples
             were perfectly consistent. The predicted PM 2. 5  values from 2019 to 2020 were larger compared with the measured
             PM  2. 5  values,and the average absolute deviation values were close to the values of 2014-2018 years,indicating
             that the forecast accuracy and stability of the forecast models were good. From 2019 to 2020,there exists a 0~1
             level difference between predicted level and measured level among 80% of all samples,where about 33% of all
             samples were perfectly consistent.
             Key words:Synoptic circulation types;PM 2. 5  mass concentration;meteorological factors;forecast model
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