|本期目录/Table of Contents|

[1]张 玲,郑小慎*.基于CALIPSO数据的沿海区域气溶胶光学特性时空特征[J].地球科学与环境学报,2021,43(06):1033-1049.[doi:10.19814/j.jese.2021.04022]
 ZHANG Ling,ZHENG Xiao-shen*.Spatial-temporal Variation of Aerosol Optical Properties in Coastal Region, China Based on CALIPSO Data[J].Journal of Earth Sciences and Environment,2021,43(06):1033-1049.[doi:10.19814/j.jese.2021.04022]
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基于CALIPSO数据的沿海区域气溶胶光学特性时空特征(PDF)
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《地球科学与环境学报》[ISSN:1672-6561/CN:61-1423/P]

卷:
第43卷
期数:
2021年第06期
页码:
1033-1049
栏目:
水资源与环境
出版日期:
2021-11-15

文章信息/Info

Title:
Spatial-temporal Variation of Aerosol Optical Properties in Coastal Region, China Based on CALIPSO Data
文章编号:
1672-6561(2021)06-1033-17
作者:
张 玲郑小慎*
(天津科技大学 海洋与环境学院,天津 300457)
Author(s):
ZHANG Ling ZHENG Xiao-shen*
(College of Marine and Environmental Sciences, Tianjin University of Science and Technology, Tianjin 300457, China)
关键词:
气溶胶 气溶胶光学厚度 消光系数 退偏比 色比 CALIPSO数据 AERONET数据 沿海区域
Keywords:
aerosol AOD extinction coefficient particle depolarization ratio color ratio CALIPSO data AERONET data coastal region
分类号:
X513
DOI:
10.19814/j.jese.2021.04022
文献标志码:
A
摘要:
气溶胶可以直接和间接地影响大气辐射,从而对全球气候产生重要影响。利用AERONET地基气溶胶光学厚度观测数据对CALIPSO气溶胶光学厚度数据进行验证,并利用2010年3月至2020年2月的CALIPSO Level 2数据产品分析了沿海区域及两个典型区域(京津区域和珠江三角洲区域)气溶胶光学特性时空分布,通过分析气溶胶光学厚度、消光系数、退偏比和色比得到沿海区域及两个典型区域气溶胶光学特性的变化特征。结果表明:①沿海区域气溶胶光学厚度存在明显的时空分布特征及季节变化规律,整体呈现北高南低的分布; 沿海区域北部气溶胶光学厚度夏季最大,南部春季最大,南、北部夏季气溶胶光学厚度差值最大。②沿海区域北部的天津及河北中部气溶胶消光系数较大,消光范围主要集中在4 km以下,气溶胶色比及退偏比较大; 沿海区域中部秋季和冬季气溶胶消光系数高值范围大于沿海区域北部; 沿海区域南部气溶胶消光系数四季都较小,消光范围主要集中在2 km以下,气溶胶退偏比较小,但气溶胶色比较大。③京津区域气溶胶光学厚度总体高于珠江三角洲区域; 京津区域夏季气溶胶光学厚度平均值最大,珠江三角洲区域春季气溶胶光学厚度平均值最大; 两个典型区域气溶胶光学厚度整体呈下降趋势。④京津区域每年消光系数都偏大,消光系数高值集中于夏季,2017年气溶胶消光系数开始逐渐减少,气溶胶退偏比及色比相对较大,两者随着高度的增加大体上也呈现增加趋势,该区域主要以非球形大颗粒气溶胶为主; 珠江三角洲区域气溶胶消光系数整体小于京津区域,春季气溶胶消光系数较大,气溶胶退偏比较小,粒子偏球形,但气溶胶色比较大,说明粒子颗粒比较大。
Abstract:
Aerosols can directly and indirectly affect atmospheric radiation, and thus have a significant impact on global climate. Based on AERONET data, CALIPSO aerosol optical depth was validated; and based on CALIPSO Level 2 data products from March 2010 to February 2020, the spatial-temporal distribution of aerosol optical properties in coastal region and two typical areas(Beijing-Tianjin region and Pearl River Delta region)were analyzed. The variation characteristics of aerosol optical properties in coastal region and two typical areas were obtained by analyzing aerosol optical depth, extinction coefficient, particle depolarization ratio and color ratio. The results show that: ① The aerosol optical depth has notable spatial-temporal distribution features and seasonal variation in coastal region, and the overall values have a higher distribution in the north than that in the south; the northern coastal region has the largest aerosol optical depth in summer, the southern has the largest value in spring, and the aerosol optical depth difference between north and south is the largest in summer.② The aerosol extinction coefficient in Tianjin and central Hebei areas at the northern costal region is large, and the extinction range is within the range of mainly below 4 km, and the aerosol color ratio and particle depolarization ratio are relatively large; the high value range of the aerosol extinction coefficient in autumn and winter in the central costal region is larger than that in the northern costal region; the aerosol extinction coefficient in the southern costal region is small in four seasons, and the extinction range is mainly below 2 km, and the aerosol particle depolarization ratio is relatively small, but the aerosol color ratio is large. ③ The aerosol optical depth in Beijing-Tianjin region is generally higher than that in Pearl River Delta region; Beijing-Tianjin region has the largest average aerosol optical depth in summer, and Pearl River Delta region has the largest average aerosol optical depth in spring; the overall aerosol optical depths in two typical regions show a downward trend. ④ The aerosol extinction coefficient in Beijing-Tianjin region is relatively large each year, and the high value of extinction coefficient is concentrated in summer of each year, and the extinction began to gradually decrease in 2017; the aerosol particle depolarization ratio and color ratio are relatively large, both of which generally show an increasing trend with the increase of height, indicating that it is mainly dominated by non-spherical large particle aerosols in the area. The aerosol extinction coefficient in Pearl River Delta region is generally smaller than that in Beijing-Tianjin region; the aerosol extinction coefficient in spring is larger, the aerosol particle depolarization ratio is relatively small, and the particles are spherical, but the aerosol color ratio is relatively large, indicating that the particles are relatively large.

参考文献/References:

[1] 毛节泰,张军华,王美华.中国大气气溶胶研究综述[J].气象学报,2002,60(5):625-634.
MAO Jie-tai,ZHANG Jun-hua,WANG Mei-hua.Summary Comment on Research of Atmospheric Aerosl in China[J].Acta Meteorologica Sinica,2002,60(5):625-634.
[2] FORSTER P.Radiative Forcing of Climate Change[M]∥SOLOMON S.Climate Change 2007,the Phy-sical Science Basis:Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change.New York:Cambridge University Press,2007:363-373.
[3] HAYWOOD J,BOUCHER O.Estimates of the Direct and Indirect Radiative Forcing Due to Tropospheric Aerosols:A Review[J].Reviews of Geophysics,2000,38(4):513-543.
[4] 陈晓磊.基于激光雷达的长三角典型地区气溶胶垂直分布特征研究[D].南京:南京信息工程大学,2018.
CHEN Xiao-lei.Study on the Vertical Distribution Characteristics of Aerosol over Typical Areas of the Yangtze River Delta Based on Lidar[D].Nanjing:Nanjing University of Information Science and Technology,2018.
[5] 李彦鹏,马天峰,杜胜利,等.大气生物气溶胶的源排放与源解析研究进展[J].地球科学与环境学报,2021,43(2):315-331.
LI Yan-peng,MA Tian-feng,DU Sheng-li,et al.Review on Source Emission and Source Identification of Bioaerosols in the Atmosphere[J].Journal of Earth Sciences and Environment,2021,43(2):315-331.
[6] 罗云峰,吕达仁,周秀骥,等.30年来我国大气气溶胶光学厚度平均分布特征分析[J].大气科学,2002,26(6):721-730.
LUO Yun-feng,LV Da-ren,ZHOU Xiu-ji,et al.Analyses on the Spatial Distribution of Aerosol Optical Depth over China in Recent 30 Years[J].Chinese Journal of Atmospheric Sciences,2002,26(6):721-730.
[7] 周鸿飞.北京与太湖地区气溶胶光学特性研究[J].中国资源综合利用,2020,38(5):145-148.
ZHOU Hong-fei.Research on Aerosol Optical Pro-perties in Beijing and Taihu Lake Area[J].China Resources Comprehensive Utilization,2020,38(5):145-148.
[8] LIU J J,ZHENG Y F,LI Z Q,et al.Seasonal Variations of Aerosol Optical Properties,Vertical Distribution and Associated Radiative Effects in the Yangtze Delta Region of China[J].Journal of Geophysical Research:Atmospheres,2012,117(D16):D00K38.
[9] ECK T F,HOLBEN B N,DUBOVIK O,et al.Columnar Aerosol Optical Properties at AERONET Sites in Central Eastern Asia and Aerosol Transport to the Tropical Mid-Pacific[J].Journal of Geophysical Research:Atmospheres,2005,110(D6):D005274.
[10] SCHUSTER G L,DUBOVIK O,HOLBEN B N.Angstrom Exponent and Bimodal Aerosol Size Distributions[J].Journal of Geophysical Research:Atmospheres,2006,111(D7):D006328.
[11] STEFAN S,VOINEA S,IORGA G.Study of the Aerosol Optical Characteristics over the Romanian Black Sea Coast Using AERONET Data[J].Atmo-spheric Pollution Research,2020,11(7):1165-1178.
[12] 宋晓春,刘兴科,孙玮婕.基于MODIS的华东地区气溶胶光学厚度时空变化特征分析[J].环境监测管理与技术,2021,33(1):13-17,27.
SONG Xiao-chun,LIU Xing-ke,SUN Wei-jie.Analysis on Spatial and Temporal Variation Characteristics of Aerosol Thickness in East China Based on MODIS[J].The Administration and Technique of Environmental Monitoring,2021,33(1):13-17,27.
[13] 张瑞芳,刘偲嘉,于兴娜,等.西北地区气溶胶光学特性的时空变化特征[J].环境科学学报,2021,41(2):334-342.
ZHANG Rui-fang,LIU Si-jia,YU Xing-na,et al.Spatio-temporal Distribution and Variation Characteristics of Aerosol Optical Properties over the Northwest of China[J].Acta Scientiae Circumstantiae,2021,41(2):334-342.
[14] 王晨莹,何沐全,陈军辉,等.2006~2017年四川盆地MODIS气溶胶光学厚度时空变化特征[J].环境科学研究,2020,33(1):54-62.
WANG Chen-ying,HE Mu-quan,CHEN Jun-hui,et al.Temporal and Spatial Variation Characteristics of MODIS Aerosol Optical Depth in Sichuan Basin from 2006 to 2017[J].Research of Environmental Sciences,2020,33(1):54-62
[15] 张瑞芳,于兴娜.河南省气溶胶光学特性的时空变化特征[J].环境科学,2020,41(2):600-608.
ZHANG Rui-fang,YU Xing-na.Spatio-temporal Distribution and Variation Characteristics of Aerosol Optical Properties in Henan Province[J].Environmental Science,2020,41(2):600-608.
[16] 李成才,毛节泰,刘启汉.利用MODIS资料遥感香港地区高分辨率气溶胶光学厚度[J].大气科学,2005,29(3):335-342.
LI Cheng-cai,MAO Jie-tai,LIU Qi-han.Remote Sensing of High Spatial Resolution Aerosol Optical Depth with MODIS Data over Hong Kong[J].Chinese Journal of Atmospheric Sciences,2005,29(3):335-342.
[17] 毛节泰,李成才,张军华,等.MODIS卫星遥感北京地区气溶胶光学厚度及与地面光度计遥感的对比[J].应用气象学报,2002,13(增1):127-135.
MAO Jie-tai,LI Cheng-cai,ZHANG Jun-hua,et al.The Comparison of Remote Sensing Aerosol Optical Depth from Modis Data and Ground Sun-photometer Observations[J].Journal of Applied Meteorological Science,2002,13(S1):127-135.
[18] 李成才,毛节泰,刘启汉,等.利用MODIS光学厚度遥感产品研究北京及周边地区的大气污染[J].大气科学,2003,27(5):869-880.
LI Cheng-cai,MAO Jie-tai,LIU Qi-han,et al.Research on the Air Pollution in Beijing and Its Surroundings with MODIS AOD Products[J].Chinese Journal of Atmospheric Sciences,2003,27(5):869-880.
[19] 李成才,毛节泰,刘启汉,等.利用MODIS研究中国东部地区气溶胶光学厚度的分布和季节变化特征[J].科学通报,2003,48(19):2094-2100.
LI Cheng-cai,MAO Jie-tai,LIU Qi-han,et al.Characteristics of Distribution and Seasonal Variation of Aerosol Optical Depth in Eastern China with MODIS Products[J].Chinese Science Bulletin,2003,48(19):2094-2100.
[20] 李成才,毛节泰,刘启汉,等.MODIS卫星遥感气溶胶产品在北京市大气污染研究中的应用[J].中国科学:D辑,地球科学,2005,35(增1):177-186.
LI Cheng-cai,MAO Jie-tai,LIU Qi-han,et al.Application of MODIS Satellite Remote Sensing Aerosol Products in the Study of Air Pollution in Beijing[J].Science in China:Series D,Earth Sciences,2005,35(S1):177-186.
[21] 李晓静,刘玉洁,邱 红,等.利用MODIS资料反演北京及其周边地区气溶胶光学厚度的方法研究[J].气象学报,2003,61(5):580-591.
LI Xiao-jing,LIU Yu-jie,QIU Hong,et al.Retrieval Method for Optical Thickness of Aerosds over Beijing and Its Vicinity by Using the MODIS Data[J].Acta Meteorologica Sinica,2003,61(5):580-591.
[22] HUNEEUS N,SCHULZ M,BALKANSKI Y,et al.Global Dust Model Intercomparison in AeroCom Pha-se I[J].Atmospheric Chemistry and Physics,2011,11(15):7781-7816.
[23] 吴 桐.基于星载激光雷达数据的层次探测及中国地区垂直气溶胶光学特性研究[D].青岛:山东科技大学,2018.
WU Tong.Research on the Feature Detection Algorithms and the Vertical Aerosol Optical Characteristics in China Based on the Spaceborne Lidar Data[D].Qingdao:Shandong University of Science and Technology,2018.
[24] 朱欢欢.基于CALIPSO星载激光雷达的云南地区气溶胶特性研究[D].昆明:云南大学,2017.
ZHU Huan-huan.Study of Aerosol Properties in Yunnan Area Based on CALIPSO Lidar[D].Kunming:Yunnan University,2017.
[25] NELLI N,FISSEHAYE S,FRANCIS D,et al.Cha-racteristics of Atmospheric Aerosols over the UAE Inferred from CALIPSO and Sun Photometer Aerosol Optical Depth[J].Earth and Space Science,2021,8(6):e2020EA001360.
[26] 宿兴涛,郑 军,李学刚.基于CALIPSO资料的东亚地区气溶胶垂直分布特征分析[J].装备环境工程,2019,16(6):138-144.
SU Xing-tao,ZHENG Jun,LI Xue-gang.Vertical Distribution Characteristics of Aerosol over East Asia Based on CALIPSO Data[J].Equipment Environmental Engineering,2019,16(6):138-144.
[27] 沈 吉,曹念文.2018年中国长江三角洲地区气溶胶的垂直分布特征[J].环境科学,2019,40(11):4743-4754.
SHEN Ji,CAO Nian-wen.Characteristics of Aerosol Vertical Distribution over the Yangtze River Delta Region of China in 2018[J].Environmental Science,2019,40(11):4743-4754.
[28] 唐志伟,许潇锋,杨晓玥,等.基于卫星资料的华东地区气溶胶三维分布特征研究[J].中国环境科学,2019,39(9):3624-3634.
TANG Zhi-wei,XU Xiao-feng,YANG Xiao-yue,et al.Characteristics of Three-dimensional Aerosol Distribution in Eastern China Based on Satellite Data[J].China Environmental Science,2019,39(9):3624-3634.
[29] 温玉海,倪晓昌,董 昊,等.基于激光雷达技术的京津冀区域气溶胶特性分析[J].天津职业技术师范大学学报,2018,28(2):18-23.
WEN Yu-hai,NI Xiao-chang,DONG Hao,et al.Ana-lysis of Aerosol Characteristics in Beijing-Tianjin-Hebei Region Based on Lidar Technology[J].Journal of Tianjin Uninversity of Technology and Education,2018,28(2):18-23.
[30] 于彩霞,邓学良,石春娥,等.基于CALIOP的安徽沿淮地区霾天气溶胶类型及垂直分布特征[J].环境科学学报,2018,38(4):1317-1326.
YU Cai-xia,DENG Xue-liang,SHI Chun-e,et al.The Analysis of Aerosol Type and Vertical Distribution Characteristics Along Huaihe River Based on CALI-OP Satellite Measuring[J].Acta Scientiae Circumstantiae,2018,38(4):1317-1326.
[31] 宋怀荣.黄渤海海域和北京地区大气气溶胶物理特性研究[D].青岛:中国海洋大学,2013.
SONG Huai-rong.Study on Physical Properties of At-mospheric Aerosols over Huang-Bo Sea and Beijing Areas[D].Qingdao:Ocean University of China,2013.
[32] 罗卉卉,陈臻懿,张天舒,等.基于CALIPSO卫星和地面观测资料的气溶胶垂直分布对比[J].中国激光,2019,46(12):39-47.
LUO Hui-hui,CHEN Zhen-yi,ZHANG Tian-shu,et al.Comparison of Aerosol Vertical Distribution Based on CALIPSO Satellite and Ground Observation Data[J].Chinese Journal of Lasers,2019,46(12):39-47.
[33] 刘 聪,苏 林,张朝阳,等.星载激光雷达对气溶胶垂直分布的对比分析[J].中国激光,2015,42(4):280-289.
LIU Cong,SU Lin,ZHANG Chao-yang,et al.Comparative Analysis of Vertical Distribution of Aerosols by Using Spaceborne Lidar[J].Chinese Journal of Lasers,2015,42(4):280-289.
[34] 李一辰,佘 璐,李启萌,等.中国大陆地区气溶胶时空变化及影响因素分析[J].绿色科技,2020(18):4-9.
LI Yi-chen,SHE Lu,LI Qi-meng,et al.Analysis on Spatial-temporal Changes and Influencing Factors of Aerosol over China[J].Journal of Green Science and Technology,2020(18):4-9.
[35] 孙 强,范学花,李艳伟.2013年1月华北灰霾气溶胶光学特性的垂直分布[J].遥感学报,2015,19(3):520-529.
SUN Qiang,FAN Xue-hua,LI Yan-wei.Vertical Distribution of Aerosol Optical Properties During Hazy Days in North China Plain in January 2013[J].Journal of Remote Sensing,2015,19(3):520-529.
[36] 许潇锋,刘晨璇,唐志伟,等.基于CALIPSO的华北地区气溶胶垂直分布特征[J].大气科学学报,2018,41(1):126-134.
XU Xiao-feng,LIU Chen-xuan,TANG Zhi-wei,et al.Characteristics of Aerosol Vertical Distribution Based on CALIPSO over North China[J].Transactions of Atmospheric Sciences,2018,41(1):126-134.
[37] 刘晨璇,许潇锋,孙恩伟.华北地区一次霾过程中气溶胶垂直分布特征研究[J].环境科学与技术,2016,39(12):106-116.
LIU Chen-xuan,XU Xiao-feng,SUN En-wei.Characteristics of Aerosol Vertical Variations in a Haze Ev-ent over North China[J].Environmental Science and Technology,2016,39(12):106-116.
[38] 刘 璇,朱 彬,袁 亮,等.基于CALIPSO卫星资料的华东地区气溶胶垂直分布特征[J].沙漠与绿洲气象,2016,10(5):79-86.
LIU Xuan,ZHU Bin,YUAN Liang,et al.Characte-ristics of Aerosol Vertical Distribution in Eastern China Based on CALIPSO Satellite Data[J].Desert and Oasis Meteorology,2016,10(5):79-86.
[39] WANG Z,LIU C,HU Q H,et al.Quantify the Contribution of Dust and Anthropogenic Sources to Aerosols in North China by Lidar and Validated with CALIPSO[J].Remote Sensing,2021,13(9):1811.
[40] 贾 瑞,李 君,祝清哲,等.中国西北地区气溶胶的三维分布特征及其成因[J].中国沙漠,2021,41(3):34-43.
JIA Rui,LI Jun,ZHU Qing-zhe,et al.Three-dimensional Distribution and Formation Causes of Aerosols over Northwest China[J].Journal of Desert Resear-ch,2021,41(3):34-43.
[41] ADAMS A M,PROSPERO J M,ZHANG C.CALIPSO-derived Three-dimensional Structure of Aerosol over the Atlantic Basin and Adjacent Continents[J].Journal of Climate,2015,25(19):6862-6879.
[42] 高星星,陈 艳,张 武.2006~2015年中国华北地区气溶胶的垂直分布特征[J].中国环境科学,2016,36(8):2241-2250.
GAO Xing-xing,CHEN Yan,ZHANG Wu.Vertical Distribution of Atmospheric Aerosol Particles over North China from 2006 to 2015[J].China Environmental Science,2016,36(8):2241-2250.
[43] 孙 强,范学花,夏祥鳌.华北地区气溶胶垂直分布特征的观测与分析[J].气象与环境科学,2016,39(1):26-33.
SUN Qiang,FAN Xue-hua,XIA Xiang-ao.Observation and Analysis of Aerosol Vertical Distribution Characteristics in North China Plain[J].Meteorological and Environmental Sciences,2016,39(1):26-33.
[44] 王新莹,李颖芳,桂 柯,等.我国西南地区吸收性气溶胶时空分布[J].中国环境科学,2021,41(7):3096-3105.
WANG Xin-ying,LI Ying-fang,GUI Ke,et al.Spatial and Temporal Distribution of Absorbing Aerosol in Southwest China[J].China Environmental Science,2021,41(7):3096-3105.
[45] 张亦舒,徐 达,何 秦,等.浙江省气溶胶垂直分布及区域传输分析[J].中国环境科学,2021,41(5):2097-2107.
ZHANG Yi-shu,XU Da,HE Qin,et al.Vertical Distribution and Regional Transport of Aerosols in Zhejiang Province[J].China Environmental Science,2021,41(7):2097-2107.
[46] 邓 梅.基于卫星和AERONET观测的北京地区气溶胶光学特性研究[D].合肥:安徽农业大学,2015.
DENG Mei.Research on Aerosol Optical Properties in Beijing by Using Satellite and AERONET Observation Data[D].Hefei:Anhui Agricultural University,2015.
[47] VERNIER J P,THOMASON L W,POMMEREAU J P,et al.Major Influence of Tropical Volcanic Eruptions on the Stratospheric Aerosol Layer During the Last Decade[J].Geophysical Research Letters,2011,38(12):L047563.
[48] 邓学良,潘德炉,何冬燕,等.中国海域MODIS气溶胶光学厚度检验分析[J].大气科学学报,2009,32(4):558-564.
DENG Xue-liang,PAN De-lu,HE Dong-yan,et al.Validation of MODIS Aerosol Optical Depth Retrie-vals over the China Sea[J].Transactions of Atmospheric Sciences,2009,32(4):558-564.
[49] LIU C S,SHEN X X,GAO W.Intercomparison of CALIOP,MODIS,and AERONET Aerosol Optical Depth over China During the Past Decade[J].International Journal of Remote Sensing,2018,39(21):1-25.
[50] OMAR A H,WINKER D M,TACKETT J L,et al.CALIOP and AERONET Aerosol Optical Depth Comparisons:One Size Fits None[J].Journal of Geophysical Research:Atmospheres,2013,118(10):4748-4766.
[51] 范学花,陈洪滨,夏祥鳌.中国大气气溶胶辐射特性参数的观测与研究进展[J].大气科学,2013,37(2):477-498.
FAN Xue-hua,CHEN Hong-bin,XIA Xiang-ao.Progress in Observation Studies of Atmospheric Aerosol Radiative Properties in China[J].Chinese Journal of Atmospheric Sciences,2013,37(2):477-498.
[52] 张 颖,王体健,庄炳亮,等.东亚海盐气溶胶时空分布及其直接气候效应研究[J].高原气象,2014,33(6):1551-1561.
ZHANG Ying,WANG Ti-jian,ZHUANG Bing-liang,et al.Study of Spatial and Temporal Variations of Sea Salt Aerosol and Its Direct Climate Effect over East Asia[J].Plateau Meteorology,2014,33(6):1551-1561.

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备注/Memo

备注/Memo:
收稿日期:2021-04-25; 修回日期:2021-08-10投稿网址:http:∥jese.chd.edu.cn/
基金项目:天津市自然科学基金项目(19CYBJC23600); 国家科技重大专项项目(2017ZX07107)
作者简介:张 玲(1996-),女,重庆市人,理学硕士研究生,E-mail:lzzzling@163.com。
*通讯作者:郑小慎(1973-),女,河北献县人,教授,工学博士,E-mail:zxs@tust.edu.cn。
更新日期/Last Update: 2021-11-10