Arid
DOI10.3390/rs14040990
Dust Characteristics Observed by Unmanned Aerial Vehicle over the Taklimakan Desert
Zhou, Chenglong; Liu, Yuzhi; He, Qing; Zhong, Xinjie; Zhu, Qingzhe; Yang, Fan; Huo, Wen; Mamtimin, Ali; Yang, Xinghua; Wang, Yu; Meng, Lu
通讯作者Liu, YZ (corresponding author),Lanzhou Univ, Coll Atmospher Sci, Minist Educ, Key Lab Semiarid Climate Change, Lanzhou 730000, Peoples R China. ; Liu, YZ (corresponding author),Lanzhou Univ, Collaborat Innovat Ctr Western Ecol Safety, Lanzhou 730000, Peoples R China.
来源期刊REMOTE SENSING
EISSN2072-4292
出版年2022
卷号14期号:4
英文摘要Based on observations from the Unmanned Aerial Vehicle (UAV) together with an environmental particulate matter analyzer (Grimm-180) and Global Positioning System (GPS) sounding balloons, the vertical structure of dust with different particle sizes was explored over the Taklimakan Desert (TD) during an intensive observation from 1 July 2021 to 31 July 2021. The power functions were fitted between the particle counts and particle sizes, indicating negative correlations with an R-2 higher than 0.99 under different dust pollution conditions in Tazhong (TZ). The dust concentrations show a sharp vertical increase over the TD during dust pollution; however, more particles with larger sizes are entrained into the air in TZ compared with Minfeng (MF). The total solar radiation during dust pollution days is significantly weakened, accompanied by major modifications in the temperature stratification, which were characterized by low-level cooling (with -2.71 K mean intensity) and high-level heating (with +0.70 K mean intensity). On clear days, the average convective boundary layer (CBL) heights at the TZ and MF are approximately 3.94 and 2.84 km, respectively, and the average stable boundary layer (SBL) height at the TZ and MF are approximately 0.19 and 0.14 km, respectively. With the increasing dust pollution level, the CBL height decreases rapidly while the SBL height shows the opposite trend. The unique ultra-high atmospheric boundary layer structure in daytime provides beneficial conditions for the suspension and vertical transportation of dust over TD. Moreover, a negative correlation between the CBL height and near-surface PM10/PM2.5/PM1.0 concentration in TD is revealed by power function fittings.
英文关键词suspended dust particulate matter concentration atmospheric boundary layer Taklimakan Desert
类型Article
语种英语
开放获取类型gold
收录类别SCI-E
WOS记录号WOS:000765164700001
WOS关键词ATMOSPHERIC BOUNDARY-LAYER ; GRAIN-SIZE CHARACTERISTICS ; WIND EROSION ; AEROSOL ; TRANSPORT ; BASIN
WOS类目Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/376362
作者单位[Zhou, Chenglong; He, Qing; Yang, Fan; Huo, Wen; Mamtimin, Ali; Wang, Yu; Meng, Lu] China Meteorol Adm, Inst Desert Meteorol, Urumqi 830002, Peoples R China; [Zhou, Chenglong; Liu, Yuzhi; Zhu, Qingzhe] Lanzhou Univ, Coll Atmospher Sci, Minist Educ, Key Lab Semiarid Climate Change, Lanzhou 730000, Peoples R China; [Zhou, Chenglong; Liu, Yuzhi; Zhu, Qingzhe] Lanzhou Univ, Collaborat Innovat Ctr Western Ecol Safety, Lanzhou 730000, Peoples R China; [He, Qing; Yang, Fan; Huo, Wen; Mamtimin, Ali; Wang, Yu; Meng, Lu] Taklimakan Natl Stn Observat & Res Desert Meteoro, Urumqi 830002, Peoples R China; [He, Qing; Yang, Fan; Huo, Wen; Mamtimin, Ali; Wang, Yu; Meng, Lu] China Meteorol Adm, Taklimakan Desert Meteorol Field Expt Stn, Urumqi 830002, Peoples R China; [He, Qing; Yang, Fan; Huo, Wen; Mamtimin, Ali; Wang, Yu; Meng, Lu] Xinjiang Key Lab Desert Meteorol & Sandstorm, Urumqi 830002, Peoples R China; [Zhong, Xinjie] Bayingol Mongolian Autonomous Prefecture Meteorol, Korla 841000, Peoples R China; [Yang, Xinghua]...
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GB/T 7714
Zhou, Chenglong,Liu, Yuzhi,He, Qing,et al. Dust Characteristics Observed by Unmanned Aerial Vehicle over the Taklimakan Desert[J],2022,14(4).
APA Zhou, Chenglong.,Liu, Yuzhi.,He, Qing.,Zhong, Xinjie.,Zhu, Qingzhe.,...&Meng, Lu.(2022).Dust Characteristics Observed by Unmanned Aerial Vehicle over the Taklimakan Desert.REMOTE SENSING,14(4).
MLA Zhou, Chenglong,et al."Dust Characteristics Observed by Unmanned Aerial Vehicle over the Taklimakan Desert".REMOTE SENSING 14.4(2022).
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