中亚咸海干涸湖床粉尘潜在扩散的时空变异分析

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Abstract In order to illustrate potential spatiotemporal variability of dust from playa of the Aral Sea, the HYSPLIT model with reanalysis meteorological data from 1969 to 2018 was used to compute the 7-day forward trajectories of the air parcel from the Aral Sea. Air parcel trajectory density plots were also mapped for five levels (0~0.5, 0.5~1, 1~1.5, 1.5~2, 2~5km.agl) with the kernel density method. The results showed that potential dust transport pathways had a conspicuous seasonal differentiation. The spring and winter gained the largest potential diffusion range at each height, in which dust from playa of the Aral Sea transported along the northeast accounted for 61% and 35%, respectively, and could reach as far as east Asia. The potential transportation of dust in autumn was weaker than that in spring and winter. Dust diffusion in summer had apparent height divergence around 0.5km. All air parcel trajectories showed densities of dust decreased with the increase of height in each season. In spring and summer, the potential transport of the air trajectory showed a tendency to move northeast and southwest, but move northeast in winter. Under favorable weather conditions, dust generated from the Aral Sea might affect regions downwind thousands of kilometers. Accordingly, the dust from the playa of the Aral Sea might influence Uzbekistan and other countries in the surrounding region. It would remarkably accelerate the melting of snow and ice on the Tianshan Mountains if deposited in the region.

Key words： HYSPLIT Aral Sea playa dust transport

Received: 04 February 2020

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X513

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	TUHETI·
	Abula
	ABUDUWAILI·
	Jilili
	GE Yong-xiao
	WANG wei
	DU fei

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TUHETI·,Abula,ABUDUWAILI·等. Potential spatiotemporal variability of dust from the playa of the dry lake bed of the Aral Sea in Central Asia[J]. CHINA ENVIRONMENTAL SCIENCECE, 2020, 40(9): 3756-3766.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2020/V40/I9/3756

[1]	Liu H J, Chen Y N, Ye Z X, et al. Recent lake area changes in Central Asia[J]. Scientific Reports, 2019,9(1):16277-16287.
[2]	Amir A, Hamid N, Kaveh M, et al. Aral Sea syndrome desiccates lake Urmia:call for action[J]. Journal of Great Lakes Research, 2015,41(1):307-311.
[3]	Bond A R. Lake Balkhash dwindling, becoming increasingly saline[J]. Post-Soviet Geography and Economics, 1992,33(2):131-134.
[4]	Philip M. The future Aral Sea:hope and despair[J]. Environmental Earth Sciences, 2016,75(9):844-859.
[5]	Wiggs G F, O'hara S L, Wegerdt J. The dynamics and characteristics of aeolian dust in dryland Central Asia[J]. The Geographical Journal 2003,169(2):142-157.
[6]	Gherboudj I, Beegum S N, Ghedira H. Identifying natural dust source regions over the Middle-East and North-Africa:Estimation of dust emission potential[J]. Earth-Science Reviews, 2017,165:342-355.
[7]	Shao Y P, Wyrwoll K H, Chappell A, et al. Dust cycle:An emerging core theme in earth system science[J]. Aeolian Research, 2011,2(4):181-204.
[8]	Shehhi M R, Gherboudj I, Ghedira H. An overview of historical harmful algae blooms outbreaks in the Arabian Seas[J]. Marine Pollution Bulletin, 2014,86(2):314-324.
[9]	Han Z W, Zhang R, Wang Q G, et al. Regional modeling of organic aerosols over China in summertime[J]. Journal of Geophysical Research, 2008,113,D11202,doi:10.1029/2007JD009436.
[10]	Mahowald N M, Baker A R, Bergametti G, et al. Atmospheric global dust cycle and iron inputs to the ocean[J]. Global Biogeochemical Cycles, 2005,19(4):1-15.
[11]	Gautam R, Hsu N C, Lau W K, et al. Satellite observations of desert dust-induced Himalayan snow darkening[J]. Geophysical Research Letters, 2013,40(5):988-993.
[12]	Abuduwaili J, Liu D W, Wu G Y. Saline dust storms and their ecological impacts in arid regions[J]. Journal of Arid Land, 2010, 2(2):144-150.
[13]	Ge Y X, Abuduwaili J, Ma L, et al. Temporal variability and potential diffusion characteristics of dust aerosol originating from the Aral Sea basin, Central Asia[J]. Water, Air, & Soil Pollution, 2016,227(63):1-12.
[14]	Ge Y X, Abuduwaili J, Ma L, et al. Potential transport pathways of dust emanating from the playa of Ebinur Lake, Xinjiang, in arid northwest China[J]. Atmospheric Research, 2016,178-179:196-206.
[15]	葛拥晓,吉力力×阿不都外力,马龙,等.西北干旱区柴窝堡湖干涸湖底粉尘潜在扩散特征[J]. 中国环境科学, 2015,35(6):1620-1629. Ge Y X, Abuduwaili J, Ma L, et al. A preliminary study on the transport pathways of dust originating from playa of Chaiwopu Lake, arid northwest[J]. China Environmental Science, 2015,35(6):1620-1629.
[16]	Rashki A, Arjmand M, Kaskaoutis D G. Assessment of dust activity and dust-plume pathways over Jazmurian basin, southeast Iran[J]. Aeolian Research, 2015,24(5):145-160.
[17]	Gulnura I, Abuduwaili J, Kaldybayev A, et al. Dust storms in Kazakhstan:frequency and division[J]. Journal of the Geological Society of India, 2015,85(3):348-358.
[18]	Indoitu R, Kozhoridze G, Batyrbaeva M, et al. Dust emission and environmental changes in the dried bottom of the Aral Sea[J]. Aeolian Research, 2015,17:101-115.
[19]	Breckle S, Wucherer W. The Aralkum, a man-made desert on the desiccated floor of the Aral Sea (Central Asia):final conclusions and comments[J]. Archives of General Psychiatry, 2012,69(1):27-36.
[20]	汤宇磊,杨复沫,詹宇.四川盆地PM2.5与PM10高分辨率时空分布及关联分析[J]. 中国环境科学, 2019,39(12):4950-4958. Tang Y L, Yang F M, Zhan Y. High resolution spatiotemporal distributionand correlation analysis of PM2.5 and PM10 concentrations in the Sichuan Basin[J]. China Environmental Science, 2019,39(12):4950-4958.
[21]	胡俊,钟珂,亢燕铭,等.新疆典型城市气溶胶光学厚度变化特征[J]. 中国环境科学, 2019,39(10):4074-4081. Hu J, Zhong K, Kang Y M, et al. Variation in aerosol optical depth over the typical cities in the Xinjiang region[J]. China Environmental Science, 2019,39(10):4074-4081.
[22]	Lyapustin A, Wang Y, Korkin S, et al. MODIS multi-angle implementation of atmospheric correction (MAIAC) data user's guide[Z]. 2018:11-12.
[23]	Krasnoshchekov K V, Yakubailik O E. Assessment of air pollution in Krasnoyarsk based on satellite date of different spatial resolution[J]. Materials Science and Engineering, 2019,537(4):1-6.
[24]	Martins V S, Soares J V, Novo E M, et al. Continental-scale surface reflectance product from CBERS-4MUX data:assessment of atmospheric correction method using coincident Landsat observations[J]. Remote Sensing of Environment, 2018,218:55-68.
[25]	Huang J F, Guo J P, Wang F, et al. CALIPSO inferred most probable heights of global dust and smoke layers[J]. Journal of Geophysical Research:Atmospheres, 2015,120(10):5085-5100.
[26]	Mcgowan H, Clark A. Identification of dust transport pathways from Lake Eyre, Australia using Hysplit[J]. Atmospheric Environment, 2008,42(29):6915-6925.
[27]	张喆.中亚干旱区内陆湖泊盐尘气溶胶时空演变及其间接气候效应[D]. 乌鲁木齐:新疆大学, 2017. Zhang Z. Spatiotemporal evolution of salt dust aerosol in inland lakes in the arid region of the Central Asia and its indirect climatic effect[D]. Urumqi:Xinjiang Univeisity, 2017.
[28]	沈浩.咸海湖盆盐沙尘变化过程及其影响因素遥感研究[D]. 乌鲁木齐:中国科学院新疆生态与地理研究所, 2018. Shen H. Research on the variation process and influencing factors of salt or dust events originated from the Aral Sea Lake basin based on remote sensing[D]. Urumqi:Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, 2018.
[29]	葛拥晓,阿力甫·那思尔,吉力力·阿不都外力,等.咸海地区粉尘气溶胶动态变化及潜在扩散特征[J]. 中国沙漠, 2016,36(5):1374-1380. Ge Y X, Nasier·A, Abuduwaili J, et al. Dynamic change and potential transport characteristics of dust aerosol originating from the aral sea basin[J]. Journal of Desert Research, 2016,36(5):1374-1380.
[30]	Zhao X, Zhang X L, Pu W W, et al. Scattering properties of the atmospheric aerosol in Beijing, China[J]. Atmospheric Research, 2011, 101(3):799-808.
[31]	Surkova G V. The Aral Sea environment[M]. Berlin:Springer-Verlag, 2010:83-100.
[32]	Masoumi A, Khalesifard H R, Bayat A, et al. Retrieval of aerosol optical and physical properties from ground-based measurements for Zanjan, a city in northwest Iran[J]. Atmospheric Research, 2013, 120-121:343-355.
[33]	Micklin P. The Aral Sea disaster[J]. Annual Review of Earth and Planetary Sciences, 2007,35(1):47-72.
[34]	Omar A H, Winker D M, Vaughan M A, et al. The CALIPSO automated aerosol classification and lidar ratio selection algorithm[J]. Journal of Atmospheric and Oceanic Technology, 2009,26(10):1994-2014.