[1] [1] Wang S G, Dong G R, Chen H Z, et al. Advances in studying sand-dust storms of China [J]. Journal of Desert Research, 2000, 20(4): 349-356.

[2] [2] Qian W H, Quan L S, Shi S Y. Variations of the dust storm in China and its climatic control [J]. Journal of Climate, 2002, 15(10): 1216-1229.

[3] [3] Zhuang G S, Guo J H, Yuan H, et al. Composition, sources, and particle size distribution of dust storms in China in 2000 and their impact on the global environment [J]. Chinese Science Bulletin, 2001, 46(3): 191-197.

[4] [4] Zhang Z X, Zhou Q B, Liu B, et al. Monitoring of the characters and ground-surface of dust storm area in North China using remote sensing [J]. Journal of Remote Sensing, 2001, 5(5): 377-382.

[5] [5] She L, Xue Y, Guang J, et al. Towards a comprehensive view of dust events from multiple satellite and ground measurements: Exemplified by the May 2017 East Asian dust storm [J]. Natural Hazards and Earth System Sciences, 2018, 18(12): 3187-3201.

[6] [6] Guo B J, He Q S, Li C C, et al. LiDAR remote sensing study on dusty weather [C]. Proceedings of the Session on Atmospheric Environmental Monitoring, Forecasting and Pollutant Control, 2008 Annual Meeting of the Chinese Meteorological Society, November 19-22, 2008, Beijing, China. 2008: 391-402.

[7] [7] Huang T, Song Y, Hu W D, et al. Lidar detection of a sand-dust process in Dalian, Liaoning, China [J]. Journal of Desert Research, 2010, 30(4): 983-988.

[8] [8] Qiu Y, Li L J, Lu H F, et al. Dust remote sensing monitoring and application based on Himawari 8 [J]. China Environmental Science, 2018, 38(9): 3305-3312.

[9] [9] Xiao Z H, Shao L Y, Zhang N, et al. Mineralogical characteristics of PM10 collected before and during dust storm episode in Lanzhou City, northwestern China [J]. Bulletin of Mineralogy, Petrology and Geochemistry, 2009, 28(2): 177-182.

[10] [10] Zhang R J, Wang M X, Pu Y F, et al. Analysis on the chemical and physical properties of “2000.4.6” super dust storm in Beijing [J]. Climatic and Environmental Research, 2000, 5(3): 259-266.

[12] [12] Su B B, Liu X D, Tao J. Characteristics of PM10 and PM2.5 concentrations in mountain background region of East China [J]. Environmental Science, 2013, 34(2): 455-461.

[13] [13] Zhai X F. Influence of Dust-weather and Wind Erosion Open Source on Atmospheric Particulate Matters in Ningxia [D]. Nanjing: Nanjing University of Information Science & Technology, 2018.

[14] [14] Zhang R J, Wang Z F, Wang W. Long-term trends of sand-dust weather over Qingdao, Hefei and Beijing in Eastern China [J]. The Chinese Journal of Process Engineering, 2004 (Z1): 721-725.

[15] [15] Zhang Y, Wang H B, Zuo H J, et al. Identify high frequent dust areas and their sources in spring in the Northwest of China [J]. China Environmental Science, 2019, 39(10): 4065-4073.

[16] [16] Liu Q H, Wang X, Ren S L. Analysis of China's dust weather satellite monitoring data in spring 2019 [J]. Satellite Application, 2020, (2): 25-28.

[17] [17] Wei H N, Wang W Z, Xu F N, et al. Evaluation and application of the Himawari-8 aerosol products [J]. Remote Sensing Technology and Application, 2019, 34(5): 1005-1015.

[18] [18] Molteni F, Buizza R, Palmer T N, et al. The ECMWF ensemble prediction system: Methodology and validation [J]. Quarterly journal of the royal meteorological society, 1996, 122(529): 73-119.

[19] [19] Draxler R R, Hess G D. An overview of the HYSPLIT_4 modelling system for trajectories [J]. Australian meteorological magazine, 1998, 47(4): 295-308.

[20] [20] Stein A F, Draxler R R, Rolph G D, et al. NOAA's HYSPLIT atmospheric transport and dispersion modeling system [J]. Bulletin of the American Meteorological Society, 2015, 96(12): 2059-2077.

[21] [21] Li Z, Zhang H, Ye H, et al. Characteristics of air pollution during typical haze periods and HYSPLIT model analysis of its source in Hangzhou [J]. Acta Scientiae Circumstantiae, 2018, 38(5): 1717-1726.

[22] [22] Lv Y, Li Z Q, Yin P F, et al. Joint use of ground-based LiDAR and Sun-sky radiometer for observation of aerosol vertical distribution [J]. Journal of Remote Sensing, 2013, 17(4): 1008-1020.

[23] [23] Chan P W. Comparison of aerosol optical depth (AOD) derived from ground-based LIDAR and MODIS [J]. The Open Atmospheric Science Journal, 2009, 3(1): 131-137.

[24] [24] Xiao Q, Zhang H, Choi M, et al. Evaluation of VIIRS, GOCI, and MODIS Collection 6 AOD retrievals against ground sunphotometer observations over East Asia [J]. Atmospheric Chemistry and Physics, 2016, 16(3): 1255-1269.

[25] [25] Zhang W H, Xu H, Zheng F J. Aerosol optical depth retrieval over East Asia using Himawari-8/AHI data [J]. Remote Sensing, 2018, 10(1): 137.

[27] [27] Yang X J, Zhang Q, Ye P L, et al. Characteristics and causes of persistent sand-dust weather in mid-March 2021 over Northern China [J]. Journal of Desert Research, 2021, 41(3): 245-255.