The Detection and Analysis of Dust Weather by Lidar and Microwave Radiometer in Xingtai

HAO Jufei; YUAN Leiwu; LI Zhixia; QI Jiahui; SHI Hairui

doi:10.7522/j.issn.1000-0534.2018.00009

Plateau Meteorology >

2018 , Vol. 37 >Issue 4: 1110 - 1119

DOI: https://doi.org/10.7522/j.issn.1000-0534.2018.00009

The Detection and Analysis of Dust Weather by Lidar and Microwave Radiometer in Xingtai

HAO Jufei ,
YUAN Leiwu ,
LI Zhixia ,
QI Jiahui ,
SHI Hairui

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Xingtai Meteorological Office of Hebei, Xingtai 054000, Hebei, China;Tangshan Meteorological Office of Hebei, Tangshan 063000, Hebei, China

Received date: 2017-09-20

Online published: 2018-08-28

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Abstract

Based on aerosol lidar and ground-based multichannel microwave radiometer data, combined with backward trajectory model and other data, the high-altitude extinction coefficient, the depolarization ratio, the temperature and the humidity of Xingtai city were calculated and analyzed during May 3-5, 2017.The results showed that:The main reason for the increase of particulate pollutant concentration in Xingtai is the dust deposition which transported at a distance from the northwest, and the dust from northern Xinjiang is affected by cold front moving eastward, local winds also cause dust pollution from the ground to high altitude, and the increase in PM₁₀ concentration is much higher than that of PM_2.5.The sand dust that collected near the height of 2 000 m can form a strong value region with extinction coefficient greater than 1 km^-1.The average value of depolarization ratio of sand dust accumulation area is 0.252, and a clear sand dust boundary is formed in the region with lower average deviation ratio of 0.041, the strong value center of the extinction coefficient and the sand dust boundary of the depolarization ratio can be used to characterize the change of dust deposition.the ground temperature has increased when dust deposition or sand dust was caused by ground wind, The atmospheric humidity in the whole layer shows a steep downward trend before the concentration of terrestrial particulate pollutants increases sharply, and the atmospheric humidity of the whole layer is maintained at a low level, the concentration of the particle pollutant is in the high value fluctuation stage.

Key words： Sand-dust; lidar; microwave radiometer; air pollution

Cite this article

HAO Jufei , YUAN Leiwu , LI Zhixia , QI Jiahui , SHI Hairui . The Detection and Analysis of Dust Weather by Lidar and Microwave Radiometer in Xingtai[J]. Plateau Meteorology, 2018 , 37(4) : 1110 -1119 . DOI: 10.7522/j.issn.1000-0534.2018.00009

References

[1]Fernald F G, 1984.Analysis of atmospheric lidar observations:somecomments[J].Appl Opt, 23(5):652-653.
[2]Kambezidis H D, Kaskaoutis D G, 2008.Aerosol climatology over four AERONET sites:An overview[J].Atmos Environ, 42(8):1892-1906.
[3]Murayama T, Sugimoto N, Uno I, et al, 2001.Ground-based network observation of Asian dust events of April 1998 in east Asia[J].J Geophys Res Atmos, 106(D16):18345-18359.
[4]Sugimoto N, Hara Y, Shimizu A, et al, 2013.Analysis of dust events in 2008 and 2009 using the lidar network, surface observations and the CFORS model[J].Asia-Pacific J Atmos Sci, 49(1):27-39.
[5]Stein A F, Draxler R R, Rolph G D, et al, 2016.NOAA's HYSPLIT atmospheric transport and dispersion modeling system[J].Bull Amer Meteor Soc, 96(12):2059-2077.
[6]Wang S, Wang J, Zhou Z, et al, 2005.Regi onal characteristics of three kinds of dust storm events in China[J].Atmos Environ, 39(3):509-520.
[7]Washington R, Todd M, Middleton N J, et al, 2015.Dust-storm source areas determined by the total ozone monitoring spectrometer and surface observations[J].Annals of the Association of American Geographers, 93(2):297-313.
[8]Chen J, Zhang Y P, Yang P, et al, 2016.Pollution process and optical properties during a dust aerosol event in Shijiazhuang[J].China Environ Sci, 36(4):979-989. 陈静, 张艳品, 杨鹏, 等, 2016.石家庄一次沙尘气溶胶污染过程及光学特性[J].中国环境科学, 36(4):979-989.
[9]Chen X, Wei W S, Gu G Q, et al, 2012.The heating effect of dust aerosol on air temperature in the surface layer in the hinterland of Taklimakan Desert[J].Acta Meteor Sinica, 70(6):1235-1246. 陈霞, 魏文寿, 顾光芹, 等, 2012.塔克拉玛干沙漠腹地沙尘气溶胶对低层大气的加热效应[J].气象学报, 70(6):1235-1246.
[10]Chen Y Y, Chen N, Tan Z Q, et al, 2015.Impact of thermal action on different intensity sandstorms in Ningxia[J].Plateau Meteor, 34(6):1668-1676.DOI:10.7522/j.issn.1000-0534.2014.00090. 陈豫英, 陈楠, 谭志强, 等, 2015.热力作用对宁夏不同强度沙尘天气的影响[J].高原气象, 34(6):1668-1676.
[11]Deng T, Wu D, Deng X J, et al, 2013.The vertical distribution of aerosol optical properties in a severe haze event[J].China Environ Science, 33(11):1921-1928. 邓涛, 吴兑, 邓雪娇, 等, 2013.一次严重灰霾过程的气溶胶光学特性垂直分布[J].中国环境科学, 33(11):1921-1928.
[12]Dong X H, Qi H, Ren L J, et al, 2007.Application and data demonstration of Lidar in sandstorm observation[J].Res Environ Sci, 20(2):106-111. 董旭辉, 祁辉, 任立军, 等, 2007.偏振激光雷达在沙尘暴观测中的数据解析[J].环境科学研究, 20(2):106-111.
[13]Fan F, Chen Y Z, Lu J G, et al, 2013.Lidar detection of a sand-dust process at Beijing in Spring[J].Res Environ Sci, 26(11):1155-1161. 樊璠, 陈义珍, 陆建刚, 等, 2013.北京春季强沙尘过程前后的激光雷达观测[J].环境科学研究, 26(11):1155-1161.
[14]Hao J F, Li Z X, Zhang G W, et al, 2016.Change of the Lidar detection data and PM2.5/PM10 concentration during a heavy air pollution process in Xingtai of Hebei province[J].J Arid Meteor, 34(5):796-802. 郝巨飞, 李芷霞, 张功文, 等, 2016.一次重污染天气过程的激光雷达探测数据与颗粒物浓度变化[J].干旱气象, 34(5):796-802.
[15]Hu Z Y, Huang R H, Wei G A, et al, 2002.Variations of surface atmospheric variables and energy budget during a sandstorm passing Dunhuang on June 6 of 2000[J].Chinese J Atmos Sci, 26(1):1-8. 胡泽勇, 黄荣辉, 卫国安, 等, 2002.2000年6月4日沙尘暴过境时敦煌地面气象要素及地表能量平衡特征的变化[J].大气科学, 26(1):1-8.
[16]Huang X, Buhe C L, Lin D W, et al, 2017.Relationship between spring Mongolian cyclones, the North Atlantic Sea Surface Temperature in winter and the snow depth in Eurasia[J].Plateau Meteor, 36(3):750-762.DOI:10.7522/j.issn.1000-0534.2016.00050. 黄鑫, 布和朝鲁, 林大伟, 等, 2017.春季蒙古气旋活动与冬季北大西洋海温异常和欧亚大陆积雪异常的联系[J].高原气象, 36(3):750-762.
[17]Li N, 2014. Remote-sensing of atmospheric temperature and humidity profiles based on microwave Radiometer in Semi-Arid Area of Northwest China[D]. Lanzhou: Lanzhou University. 李娜, 2014. 西北半干旱区基于微波辐射计的大气温湿廓线遥感研究[D]. 兰州: 兰州大学.
[18]Liu H Y, Li J, Cao X Y, et al, 2007.Characteristics of the atmosphere remote sensed by the ground-based 12-Channel Radiometer[J].Remote Sens Technol Appl, 22(2):222-229. 刘红燕, 李炬, 曹晓彦, 等, 2007.遥感大气结构的地基12通道微波辐射计测量结果分析[J].遥感技术与应用, 22(2):222-229.
[19]Liu J T, Qian Z A, Jiang X G, et al, 2004.A study on weather types of super severe dust storms in North China[J].Plateau Meteor, 23(4):540-547. 刘景涛, 钱正安, 姜学恭, 等, 2004.中国北方特强沙尘暴的天气系统分型研究[J].高原气象, 23(4):540-547.
[20]Liu W B, Liu T, Huang Z Z, et al, 2013.Study of a dust case in Guangzhou using polarization mie-scattering lidar[J].China Environ Sci, 33(10):1751-1757. 刘文彬, 刘涛, 黄祖照, 等, 2013.利用偏振-米散射激光雷达研究广州一次浮尘天气过程[J].中国环境科学, 33(10):1751-1757.
[21]Lu J P, Huang J P, Guo X L, et al, 2014.A 35-channel microwave radiometer for profiling atmospheric temperature and humidity[J].Meteor Sci Technol, 42(2):193-197. 卢建平, 黄建平, 郭学良, 等, 2014.探测大气温湿廓线的35通道微波辐射计设计原理与特点[J].气象科技, 42(2):193-197.
[22]Mao J T, Zhang J H, Wang M H, 2002.Summary comment on research of atmospheric aerosl in China[J].Acta Meteor Sinica, 60(5):625-634. 毛节泰, 张军华, 王美华, 2002.中国大气气溶胶研究综述[J].气象学报, 60(5):625-634.
[23]Peng Z, Liu X M, Hong Z X, et al, 2007.Characteristics of atmospheric boundary-layer structure and turbulent flux transfer during a strong dust storm weather process over Beijing area[J].Climatic Environ Res, 12(3):267-276. 彭珍, 刘熙明, 洪钟祥, 等, 2007.北京地区一次强沙尘暴过程的大气边界层结构和湍流通量输送特征[J].气候与环境研究, 12(3):267-276.
[24]Qian Z A, He H X, Qu Z, et al, 1997.The grading standard and the statistical characteristics of the sandstorm in northwest China[M].Beijing:Meteorological Press, 1-10. 钱正安, 贺慧霞, 瞿章, 等, 1997.我国西北地区沙尘暴的分级标准和个例谱及其统计特征[M].北京:气象出版, 1-10.
[25]Su X T, Xu L R, Wei Q, et al, 2016.Study of impacts of dust aerosol on precipitation over East Asia[J].Plateau Meteor, 35(1):211-219.DOI:10.7522/j.issn.1000-0534.2014.00091. 宿兴涛, 许丽人, 魏强, 等, 2016.东亚地区沙尘气溶胶对降水的影响研究[J].高原气象, 35(1):211-219.
[26]Wang L J, Zhao L N, Shou S W, et al, 2011.Observation and numerical simulation analysis of the severe sand storm over Northern China in April of 2009[J].Meteor Mon, 37(3):309-317. 王丽娟, 赵琳娜, 寿绍文, 等, 2011.2009年4月北方一次强沙尘暴过程的特征分析和数值模拟[J].气象, 37(3):309-317.
[27]Wang Z M, Ding Y H, Zhang Y X, et al, 2012.Feature and mechanism of the foehn weather on east slope Taihang Mountains Ⅱ:Case analysis of the effects of lee wave on foehn occurring and moving[J].Plateau Meteor, 31(2):555-561. 王宗敏, 丁一汇, 张迎新, 等, 2012.太行山东麓焚风天气的统计特征和机理分析Ⅱ:背风波对焚风产生和传播影响的个例分析[J].高原气象, 31(2):555-561.
[28]Xia J R, Wang P C, Zong X M, et al, 2011.Stereo monitoring of a dust case using Lidar and sunphotometer[J].Environmental Monitoring in China, 27(6):74-81. 夏俊荣, 王普才, 宗雪梅, 等, 2011.利用激光雷达太阳光度计等多种遥感手段立体监测一次沙尘事件[J].中国环境监测, 27(6):74-81.
[29]Yang X, Chen Y Z, Liu H F, et al, 2017.Measurement on a spring time dust aerosol pollution process in Beijing[J].China Environ Sci, 37(1):87-94. 杨欣, 陈义珍, 刘厚凤, 等, 2017.北京春季一次沙尘气溶胶污染过程观测[J].中国环境科学, 37(1):87-94.
[30]Zhang J, Tang C G, 2012.Vertical distribution structure and characteristic of aerosol over arid region in a dust process of spring[J].Plateau Meteor, 31(1):156-166. 张杰, 唐从国, 2012.干旱区一次春季沙尘过程的大气气溶胶垂直分布结构及其特征[J].高原气象, 31(1):156-166.
[31]Zhang Y N, Zhang B H, Zong Z P, et al, 2013.Analysis on sand entrainment and deposition and transportation pathways of one sand dust process in Beijing[J].Meteor Mon, 39(7):911-922. 张亚妮, 张碧辉, 宗志平, 等, 2013.影响北京的一例沙尘天气过程的起沙沉降及输送路径分析[J].气象, 39(7):911-922.
[32]Zhu B H, Wang P F, Shu J X, 1985.Dictionary of meteorology[M].Shanghai:Shanghai Lexicographical Publishing House. 朱炳海, 王鹏飞, 束家鑫, 1985.气象学词典[M].上海:上海辞书出版社.

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