Next-generation remote sensing and prediction of sand and dust storms: State-of-the-art and future trends

References

• Aba, A., A. Al-Dousari, and A. Ismaeel. 2018. “Atmospheric Deposition Fluxes of 137Cs Associated with Dust Fallout in the Northeastern Arabian Gulf.” Journal of Environmental Radioactivity 192: 565–572. [CrossRef]. doi:10.1016/j.jenvrad.2018.05.010.
   PubMed Web of Science ®Google Scholar
• Abd El-Wahab, R. H., A. R. Al-Rashed, and A. Al-Dousari. 2018. “Influences of Physiographic Factors, Vegetation Patterns and Human Impacts on Aeolian Landforms in Arid Environment.” Arid Ecosystems 8 (2): 97–110. [CrossRef]. doi:10.1134/S2079096118020026.
   Web of Science ®Google Scholar
• Agereh, S. R., F. Kiani, K. Khavazi, H. Rouhipour, and F. Khormali. 2019. “An Environmentally Friendly Soil Improvement Technology for Sand and Dust Storms Control.” Environmental Health Engineering and Management Journal 6 (1): 63–71. [CrossRef]. doi:10.15171/EHEM.2019.07.
   Web of Science ®Google Scholar
• Ahmed, M., and A. M. Al-Dousari. 2013. “Geomorphological Characteristics of the Um-Rimam Depression in Northern Kuwait.” Kuwait Journal of Science 40 (1). [CrossRef]
   Google Scholar
• Akhlaq, M., T. R. Sheltami, and E. M. Shakshuki. 2012. Developing a Hybrid System for Sand and Dust Storm Detection Using Satellite Imaging and WSNs. IIWAS ‘12: Proceedings of the 14th International Conference on Information Integration and Web-based Applications & Services, 9–15. Bali, Indonesia. [CrossRef]
   Google Scholar
• Akhlaq, M., T. R. Sheltami, and H. T. Mouftah. 2012. “A Review of Techniques and Technologies for Sand and Dust Storm Detection.” Reviews in Environmental Science and Bio/Technology 11 (3): 305–322. [CrossRef]. doi:10.1007/s11157-012-9282-y.
   Web of Science ®Google Scholar
• Akyildiz, I. F., W. Su, Y. Sankarasubramaniam, and E. Cayirci. 2002. “Wireless Sensor Networks: A Survey.” Computer Networks 38 (4): 393–422. [CrossRef]. doi:10.1016/S1389-1286(01)00302-4.
   Web of Science ®Google Scholar
• Alavi, A. H., P. Jiao, W. G. Buttlar, and N. Lajnef. 2018. “Internet of Things-enabled Smart Cities: State-of-the-art and Future Trends.” Measurement 129: 589–606. [CrossRef]. doi:10.1016/j.measurement.2018.07.067.
   Web of Science ®Google Scholar
• Al-Awadhi, J. M., and A. M. Al-Dousari. 2013. “Morphological Characteristics and Development of Coastal Nabkhas, North-east Kuwait.” International Journal of Earth Sciences 102 (3): 949–958. [CrossRef]. doi:10.1007/s00531-012-0833-9.
   Web of Science ®Google Scholar
• Albarakat, R., and V. Lakshmi. 2019. “Monitoring Dust Storms in Iraq Using Satellite Data.” Sensors 19 (17): 3687. [CrossRef]. doi:10.3390/s19173687.
   PubMed Web of Science ®Google Scholar
• Albugami, S., S. Palmer, J. Meersmans, and T. Waine. 2018. “Evaluating MODIS Dust-Detection Indices over the Arabian Peninsula.” Remote Sensing 10 (12): 1993. [CrossRef]. doi:10.3390/rs10121993.
   Web of Science ®Google Scholar
• Al-Dousari, A. M., M. Ahmed, M. Al-Senafy, and M. Al-Mutairi. 2008. “Characteristics of nabkhas in relation to dominant perennial plant species in Kuwait.” Kuwait Journal of Science & Engineering 35 (1): 129–150.
   Google Scholar
• Al-Dousari, A. M., M. Ahmed, M. Al-Senafy, and M. Al-Mutairi. 2008. “Characteristics of nabkhas in relation to dominant perennial plant species in Kuwait.” Kuwait Journal of Science & Engineering 35 (1): 129–150.
   Google Scholar
• Al-Dousari, A. M., M. Ahmed, N. Al-Dousari, and S. Al-Awadhi. 2019. “Environmental and Economic Importance of Native Plants and Green Belts in Controlling Mobile Sand and Dust Hazards.” International Journal of Environmental Science and Technology 16 (5): 2415–2426. doi:10.1007/s13762-018-1879-4
   Web of Science ®Google Scholar
• Al-Dousari, A., and K. Pye. 2005. “Mapping and Monitoring of Dunes in Northwestern Kuwait.” Kuwait J Sci Eng 32 (2): 119. [CrossRef].
   Google Scholar
• Al-Dousari, A. M., A. Aba, S. Al-Awadhi, M. Ahmed, and N. Al-Dousari. 2016a. “Temporal and Spatial Assessment of Pollen, Radionuclides, Minerals and Trace Elements in Deposited Dust within Kuwait.” Arab J Geosci 9 (2): 95. [CrossRef]. doi:10.1007/s12517-015-2182-z.
   Web of Science ®Google Scholar
• Al-Dousari, A. M., and A. Al-Hazza. 2013. “Physical Properties of Aeolian Sediments within Major Dune Corridor in Kuwait.” Arab J Geosci 6 (2): 519–527. [CrossRef]. doi:10.1007/s12517-011-0353-0.
   Web of Science ®Google Scholar
• Al-Dousari, A. M., M. Ahmed, N. Al-Dousari, and S. Al-Awadhi. 2019. “Environmental and Economic Importance of Native Plants and Green Belts in Controlling Mobile Sand and Dust Hazards.” International Journal of Environmental Science and Technology 16 (5): 2415–2426. [CrossRef]. doi:10.1007/s13762-018-1879-4.
   Web of Science ®Google Scholar
• Al-Ghadban, A. N., S. Uddin, M. U. Beg, A. M. Al-Dousari, B. Gevao, and F. Al-Yamani. 2008. “Ecological Consequences of River Manipulations and Drainage of Mesopotamian Marshes on the Arabian Gulf Ecosystem: Investigations on Changes in Sedimentology and Environment Quality, with Special Reference to Kuwait Bay.” KISR9362 [CrossRef]. 1–141.
   Google Scholar
• Al-Hemoud, A., A. Al-Dousari, H. Al-Dashti, P. Petrov, A. Al-Saleh, S. Al-Khafaji, W. Behbehani, J. Li, and P. Koutrakis. 2020. “Sand and Dust Storm Trajectories from Iraq Mesopotamian Flood Plain to Kuwait.” Science of the Total Environment 710: 136291. [CrossRef]. doi:10.1016/j.scitotenv.2019.136291.
   PubMed Web of Science ®Google Scholar
• Al-Hemoud, A., A. Al-Dousari, R. Misak, M. Al-Sudairawi, A. Naseeb, H. Al-Dashti, and N. Al-Dousari. 2019. “Economic Impact and Risk Assessment of Sand and Dust Storms (SDS) on the Oil and Gas Industry in Kuwait.” Sustainability 11 (1): 200. [CrossRef]. doi:10.3390/su11010200.
   Web of Science ®Google Scholar
• Aliyua, Y. A., and J. O. Botaib. 2018. “Appraising City-scale Pollution Monitoring Capabilities of Multi-satellite Datasets Using Portable Pollutant Monitors.” Atmospheric Environment 179: 239–249. [CrossRef]. doi:10.1016/j.atmosenv.2018.02.034.
   Web of Science ®Google Scholar
• Almasi, A., A. Mousavi, S. Bakhshi, and F. Namdari. 2014. “Dust Storms and Environmental Health Impacts.” Journal of Middle East Applied Science and Technology (JMEAST) 3: 353–356. [CrossRef].
   Google Scholar
• Almurayziq, T. S., S. Kapetanakis, and M. Petridis. 2016. “Using Case-based Reasoning and Artificial Neural Networks for the Efficient Prediction of Dust Storms.” J. Expert Update 16: 39–48. [CrossRef].
   Google Scholar
• Alshemmari, H., A. M. Al-Dousari, L. Talebi, and A. N. Al-Ghadban. 2013. “Mineralogical Characteristics of Surface Sediment in Sulaibikhat Bay, Kuwait.” Kuwait J Sci 40 (2): 159–176. [CrossRef].
   Web of Science ®Google Scholar
• Al-Wassai, F. A., and N. V. Kalyankar. 2013. “Major Limitations of Satellite Images.” Journal of Global Research in Computer Science 4: 51–59. [CrossRef].
   Google Scholar
• Amiraslani, F., and D. Dragovich. 2011. “Combating Desertification in Iran over the Last 50 Years: An Overview of Changing Approaches.” Journal of Environmental Management 92 (1): 1–13. [CrossRef]. doi:10.1016/j.jenvman.2010.08.012.
   PubMed Web of Science ®Google Scholar
• An, L., H. Che, M. Xue, T. Zhang, H. Wang, Y. Wang, C. Zhou, H. Zhao, K. Gui, and Y. Zheng. 2018. “Temporal and Spatial Variations in Sand and Dust Storm Events in East Asia from <Y>2007 to 2016: Relationships with Surface Conditions and Climate Change.” Science of the Total Environment 633: 452–462. [CrossRef].
   PubMed Web of Science ®Google Scholar
• An, S., H. H. Sin, and M. S. DuBow. 2015. “Modification of Atmospheric Sand-associated Bacterial Communities during Asian Sandstorms in China and South Korea.” Heredity 114 (5): 460–467. [CrossRef]. doi:10.1038/hdy.2014.102.
   PubMed Web of Science ®Google Scholar
• Aoki, I. 2005. “Dust Storms Generated by Mesoscale Cold Fronts in the Tarim Basin, Northwest China.” Geophysical Research Letters 32 (6): L06807. [CrossRef]. doi:10.1029/2004GL021776.
   Web of Science ®Google Scholar
• Attiya, A. A., and B. G. Jones. 2020. “Assessment of Mineralogical and Chemical Properties of Airborne Dust in Iraq.” SN Applied Sciences 2 (9): 1614. [CrossRef]. doi:10.1007/s42452-020-03326-5.
   Web of Science ®Google Scholar
• Awadh, S. M. 2012. “Geochemistry and Mineralogical Composition of the Airborne Particles of Sand Dunes and Dust Storms Settled in Iraq and Their Environmental Impacts.” Environmental Earth Sci 66 (8): 2247–2256. [CrossRef]. doi:10.1007/s12665-011-1445-6.
   Web of Science ®Google Scholar
• Behrooz, R. D., D. G. Kaskaoutis, G. Grivas, and N. Mihalopoulos. 2021. “Human Health Risk Assessment for Toxic Elements in the Extreme Ambient Dust Conditions Observed in Sistan, Iran.” Chemosphere 262: 127835. [CrossRef]. doi:10.1016/j.chemosphere.2020.127835.
   PubMed Web of Science ®Google Scholar
• Bellazzi, R., and B. Zupan. 2008. “Predictive Data Mining in Clinical Medicine: Current Issues and Guidelines.” International Journal of Medical Informatics 77 (2): 81–97. [CrossRef]. doi:10.1016/j.ijmedinf.2006.11.006.
   PubMed Web of Science ®Google Scholar
• Benedetti, A., J. J. Morcrette, O. Boucher, A. Dethof, R. J. Engelen, M. Fisher, H. Flentjes, N. Huneeus, L. Jones, and J. W. Kaiser. 2008. “Aerosol Analysis and Forecast in the ECMWF Integrated Forecast System: Data Assimilation.” ECMWF. [CrossRef]. doi:10.1029/2008JD011235
   Google Scholar
• Bou Karam, D., C. Flamant, J. Cuesta, J. Pelon, and E. Williams. 2010. “Dust Emission and Transport Associated with a Saharan Depression: February 2007 Case.” Journal of Geophysical Research: Atmospheres 115 (D4). [CrossRef]. doi:10.1029/2009JD012390.
   Web of Science ®Google Scholar
• Buchard, V., A. Da Silva, P. Colarco, A. Darmenov, C. Randles, R. Govindaraju, O. Torres, J. Campbell, and R. Spurr. 2015. “Using the OMI Aerosol Index and Absorption Aerosol Optical Depth to Evaluate the NASA MERRA Aerosol Reanalysis.” Atmospheric Chemistry Physical Discuss 15 (10): 5743–5760. [CrossRef]. doi:10.5194/acp-15-5743-2015.
   Web of Science ®Google Scholar
• Buchard, V., C. A. Randles, A. D. Silva, A. Darmenov, P. R. Colarco, R. C. Govindaraju, R. A. Ferrare, J. W. Hair, A. J. Beyersdorf, and L. D. Ziemba. 2017. “The MERRA-2 Aerosol Reanalysis, 1980 Onward. Part II: Evaluation and Case Studies.” Journal of Climate 30 (17): 6851–6872. [CrossRef]. doi:10.1175/JCLI-D-16-0613.1.
   Web of Science ®Google Scholar
• Campbell, J. B., and R. H. Wynne. 2011. Introduction to Remote Sensing, Fifth Edition. New York City: Guilford Press. ISBN 978-1-60918-176-5. [CrossRef].
   Google Scholar
• Cao, H., C. Fu, W. Zhang, and J. Liu. 2018. “Characterizing Sand and Dust Storms (SDS) Intensity in China Based on Meteorological Data.” Sustainability 10 (7): 2372. [CrossRef]. doi:10.3390/su10072372.
   Web of Science ®Google Scholar
• Cao, H., F. Amiraslani, J. Liu, and N. Zhou. 2015. “Identification of Dust Storm Source Areas in West Asia Using Multiple Environmental Datasets.” Science of the Total Environment 502: 224–235. [CrossRef]. doi:10.1016/j.scitotenv.2014.09.025.
   PubMed Web of Science ®Google Scholar
• Cattle, S., G. McTainsh, and S. Wagner. 2002. “Aeolian Dust Contributions to Soil of the Namoi Valley, Northern NSW, Australia.” CATENA 47 (3): 245–264. [CrossRef]. doi:10.1016/S0341-8162(01)00181-3.
   Web of Science ®Google Scholar
• Cattle, S. R. 2016. “The Case for a Southeastern Australian Dust Bowl, 1895–1945.” Aeolian Research 21: 1–20. [CrossRef]. doi:10.1016/j.aeolia.2016.02.001.
   Web of Science ®Google Scholar
• Chacon-Murguía, M. I., Y. Quezada-Holguín, P. Rivas-Perea, and S. Cabrera. 2011. “Dust Storm Detection Using a Neural Network with Uncertainty and Ambiguity Output Analysis.” Mexican Conference on Pattern Recognition [CrossRef]. 305–313.
   Google Scholar
• Chiou, -M.-M., and J.-F. Kiang. 2016. “Attenuation of Millimeter-Wave in a Sand and Dust Storm.” IEEE Geoscience and Remote Sensing Letters 13 (8): 1094–1098. [CrossRef]. doi:10.1109/LGRS.2016.2566799.
   Web of Science ®Google Scholar
• Chuvieco, E., and A. Huete. 2009. Fundamentals of Satellite Remote Sensing. Arlington: Taylor & Francis Group, LLC. ISBN 978-1-4200-2151-6. [CrossRef].
   Google Scholar
• Dee, D. P., S. M. Uppalaa, A. J. Simmonsa, P. Berrisforda, P. Polia, S. Kobayashib, U. Andraec, M. A. Balmasedaa, G. Balsamoa, and P. Bauera. 2011. “The ERA-Interim Reanalysis: Configuration and Performance of the Data Assimilation System.” Quarterly Journal of the Royal Meteorological Society 137 (656): 553–597. [CrossRef]. doi:10.1002/qj.828.
   Web of Science ®Google Scholar
• Dong, Z. B., G. T. Chen, X. D. He, Z. W. Han, and X. M. Wang. 2004. “Controlling Blown Sand along the Highway Crossing the Taklimakan Desert.” Journal of Arid Environments 57 (3): 329–344. [CrossRef]. doi:10.1016/j.jaridenv.2002.02.001.
   Web of Science ®Google Scholar
• Doronzo, D. M., A. Al-Dousari, A. Folch, and P. Dagsson-Waldhauserova. 2016. “Preface to the DustTopical Collection.”Arabian Journal of Geosciences 9: 468. [CrossRef]. doi:10.1007/s12517-016-2504-9
   Google Scholar
• ECMWF|Advancing global NWP through international collaboration. 2020. Info available at: https://www.ecmwf.int/.
   Google Scholar
• El-ossta, E., R. Qahwaji, and S. S. Ipson. 2013. “Detection of Dust Storms Using MODIS Reflective and Emissive Bands.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 6 (6): 2480–2485. [CrossRef]. doi:10.1109/JSTARS.2013.2248131.
   Web of Science ®Google Scholar
• Elsheikh, E. A. A., M. R. Islam, M. H. Habaebi, A. F. Ismail, and A. Zyoud. 2017. “Dust Storm Attenuation Modeling Based on Measurements in Sudan.” IEEE Transactions on Antennas and Propagation 65 (8): 4200–4208. [CrossRef]. doi:10.1109/TAP.2017.2715369.
   Web of Science ®Google Scholar
• Evan, A. T., S. Fiedler, C. Zhao, L. Menut, K. Schepanski, C. Flamant, and O. Doherty. 2015. “Derivation of an Observation-based Map of North African Dust Emission.” Aeolian Research 16: 153–162. [CrossRef]. doi:10.1016/j.aeolia.2015.01.001.
   Web of Science ®Google Scholar
• Fengmei, Y., and E. Chongyi. 2010. “Correlation Analysis between Sand-dust Events and Meteorological Factors in Shapotou, Northern China.” Environmental Earth Sciences 59 (6): 1359–1365. [CrossRef]. doi:10.1007/s12665-009-0123-4.
   Web of Science ®Google Scholar
• Fiedler, S., K. Schepanski, P. Knippertz, B. Heinold, and I. Tegen. 2014. “How Important are Atmospheric Depressions and Mobile Cyclones for Emitting Mineral Dust Aerosol in North Africa?.” Atmospheric Chemistry and Physics 14 (17): 8983–9000. [CrossRef]. doi:10.5194/acp-14-8983-2014.
   Web of Science ®Google Scholar
• Filonchyk, M., and H. Yan. 2019. Urban Air Pollution Monitoring by Ground-Based Stations and Satellite Data. Springer. [CrossRef] ISBN 978-3-319-78044–3.
   Google Scholar
• Francis, D., N. Alshamsi, J. Cuesta, A. Gokcen Isik, and C. Dundar. 2019. “Cyclogenesis and Density Currents in the Middle East and the Associated Dust Activity in September 2015.” Geosciences 9 (9): 376. [CrossRef]. doi:10.3390/geosciences9090376.
   Web of Science ®Google Scholar
• Friedl, M. A., D. K. McIver, J. C. F. Hodges, X. Y. Zhang, D. Muchoney, A. H. Strahler, C. E. Woodcock, et al. 2002. “Global Land Cover Mapping from MODIS: Algorithms and Early Results.” Remote Sensing of Environment 83 (1–2): 287–302. [CrossRef]. doi:10.1016/S0034-4257(02)00078-0.
   Web of Science ®Google Scholar
• Gelaro, R., W. Mccarty, M. J. Suarez, R. Todling, A. Molod, L. L. Takacs, C. A. Randles, A. Darmenov, M. J. Bosilovich, and R. H. Reichle. 2017. “The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2).” Journal of Climate 30 (14): 5419–5454. [CrossRef]. doi:10.1175/JCLI-D-16-0758.1.
   Web of Science ®Google Scholar
• Gholami, H., A. Mohamadifar, A. Sorooshian, and J. D. Jansen. 2020. “Machine-learning Algorithms for Predicting Land Susceptibility to Dust Emissions: The Case of the Jazmurian Basin, Iran.” Atmospheric Pollution Research 11 (8): 1303–1315. [CrossRef]. doi:10.1016/j.apr.2020.05.009.
   Web of Science ®Google Scholar
• Gholamia, H., A. Mohamadifara, and A. L. Collins. 2020. “Spatial Mapping of the Provenance of Storm Dust: Application of Data Mining and Ensemble Modelling.” Atmospheric Research 233: 104716. [CrossRef]. doi:10.1016/j.atmosres.2019.104716.
   Web of Science ®Google Scholar
• Ginoux, P., J. M. Prospero, T. E. Gill, N. C. Hsu, and M. Zhao. 2012. “Global-scale Attribution of Anthropogenic and Natural Dust Sources and Their Emission Rates Based on MODIS Deep Blue Aerosol Products.” Rev. Geophys 50 (3): RG3005. [CrossRef]. doi:10.1029/2012RG000388.
   Web of Science ®Google Scholar
• Goudie, A. S. 2014. “Desert Dust and Human Health Disorders.” Environment International 63: 101–113. [CrossRef]. doi:10.1016/j.envint.2013.10.011.
   PubMed Web of Science ®Google Scholar
• Goudie, A. S., and N. J. Middleton. 2001. “Saharan Dust Storms: Nature and Consequences.” Earth-Science Reviews 56 (1–4): 179–204. [CrossRef]. doi:10.1016/S0012-8252(01)00067-8.
   Web of Science ®Google Scholar
• Granados Muñoz, M. J., M. Sicard, N. Papagiannopoulos, R. Barragán Cuesta, J. A. Bravo Aranda, and D. Nicolae. 2019. “Two-dimensional Mineral Dust Radiative Effect Calculations from CALIPSO Observations over Europe.” Atmospheric Chemistry and Physics 19 (20): 13157–13173. [CrossRef]. doi:10.5194/acp-19-13157-2019.
   Web of Science ®Google Scholar
• Gross, J. E., W. G. Carlos, C. S. Dela Cruz, P. Harber, and S. Jamil. 2018. “Sand and Dust Storms: Acute Exposure and Threats to Respiratory Health.” American Journal of Respiratory and Critical Care Medicine 198 (7): 13–14. [CrossRef]. doi:10.1164/rccm.1987P13.
   PubMed Web of Science ®Google Scholar
• Guan, Q., H. Luo, N. Pan, R. Zhao, L. Yang, Y. Yang, and J. Tian. 2019. “Contribution of Dust in Northern China to PM10 Concentrations over the Hexi Corridor.” Science of the Total Environment 660: 947–958. [CrossRef]. doi:10.1016/j.scitotenv.2018.12.412.
   PubMed Web of Science ®Google Scholar
• Guo, J. P., H. Liu, F. Wang, J. F. Huang, F. Xia, M. Y. Lou, Y. R. Wu, J. H. Jiang, T. Xie, and Y. Z. Zhaxi. 2016. “Three-dimensional Structure of Aerosol in China: A Perspective from Multi-satellite Observations.” Atmospheric Research 178-179: 580–589. [CrossRef]. doi:10.1016/j.atmosres.2016.05.010.
   Web of Science ®Google Scholar
• Guo, M., X. Wang, Y. Liu, J. Li, H. Wang, N. Matsuoka, and H. Tani. 2012. “The Effects of Sand Dust Storms on Greenhouse Gases.” International Journal of Remote Sensing 33 (21): 6838–6853. [CrossRef]. doi:10.1080/01431161.2012.695094.
   Web of Science ®Google Scholar
• Guo, P., S. C. Yu, L. Q. Wang, P. F. Li, Z. Li, K. Mehmood, X. Chen, et al. 2019. “High‑altitude and Long‑range Transport of Aerosols Causing Regional Severe Haze during Extreme Dust Storms Explains Why Afforestation Does Not Prevent Storms.” Environmental Chemistry Letters 17 (3): 1333–1340. [CrossRef]. doi:10.1007/s10311-019-00858-0.
   Web of Science ®Google Scholar
• Guo, Z., N. Ai, and K. R. Polenske. 2008. “Evaluating Environmental and Economic Benefits of Yellow Dust Storm-related Policies in North China.” International Journal of Sustainable Development & World Ecology 15 (5): 457–470. [CrossRef]. doi:10.3843/SusDev.15.5:7.
   Web of Science ®Google Scholar
• Guy, C. 2006. “Wireless Sensor Networks. Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-electronic Technology, and Artificial Intelligence.” International Society for Optics and Photonics 6357: 63571I. [CrossRef].
   Google Scholar
• Habib, A., B. Chen, G. Shi, Y. Iwasaka, D. Nath, B. Khalid, S. Tan, T. Mahmood, R. Jiao, and D. Ntwali. 2019. “Dust Particles in Free Troposphere over Chinese Desert Region Revealed from Balloon Borne Measurements under Calm Weather Conditions.” Atmospheric and Oceanic Science Letters 12 (1): 12–20. [CrossRef]. doi:10.1080/16742834.2019.1536645.
   Web of Science ®Google Scholar
• Hahnenberger, M., and K. Nicoll. 2012. “Meteorological Characteristics of Dust Storm Events in the Eastern Great Basin of Utah, U.S.A.” Atmospheric Environment 60: 601–612. [CrossRef]. doi:10.1016/j.atmosenv.2012.06.029.
   Web of Science ®Google Scholar
• Hamidi, M., M. R. Kavianpour, and Y. P. Shao. 2017. “A Quantitative Evaluation of the 3–8 July 2009 Shamal Dust Storm.” Aeolian Research 24: 133–143. [CrossRef]. doi:10.1016/j.aeolia.2016.12.004.
   Web of Science ®Google Scholar
• Han, T., Y. H. Li, H. Han, Y. Z. Zhang, and Y. J. Wang. Automatic Detection of Dust Storm in the Northwest of China Using Decision Tree Classifier Based on MODIS Visible Bands Data. Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS ‘05, Seoul, 2005, 3603–3606. [CrossRef]
   Google Scholar
• Han, Y., X. Fang, S. Kang, H. Wang, and F. Kang. 2008. “Shifts of Dust Source Regions over Central Asia and the Tibetan Plateau: Connections with the Arctic Oscillation and the Westerly Jet.” Atmospheric Environment 42 (10): 2358–2368. [CrossRef]. doi:10.1016/j.atmosenv.2007.12.025.
   Web of Science ®Google Scholar
• Harris, R. 1987. Satellite Remote Sensing. An Introduction. Web, OSTI 6641883. [CrossRef]. United States: Taylor & Francis Online.
   Google Scholar
• Hasni, H., P. Jiao, A. H. Alavi, N. Lajnef, and S. F. Masri. 2018. “Structural Health Monitoring of Steel Frames Using A Network of Self-powered Strain and Acceleration Sensors: A Numerical Study.” Automation in Construction 85: 344–357. [CrossRef]. doi:10.1016/j.autcon.2017.10.022.
   Web of Science ®Google Scholar
• Ho, K.-F., K.-C. Wu, X. Niu, Y. Wu, C.-S. Zhu, F. Wu, -J.-J. Cao, Z.-X. Shen, T.-C. Hsiao, and K.-J. Chuang. 2019. “Contributions of Local Pollution Emissions to Particle Bioreactivity in Downwind Cities in China during Asian Dust Periods.” Environmental Pollution 245: 675–683. [CrossRef]. doi:10.1016/j.envpol.2018.11.035.
   PubMed Web of Science ®Google Scholar
• Holben, B. N., T. F. Eck, I. Slutsker., D. Tanré., J. P. Buis, A. Setzer., E. Vermote, J. A. Reagan, Y. J. Kaufman, and T. Nakajima. 1998. “AERONET-a Federated Instrument Network and Data Archive for Aerosol Characterization.” Remote Sensing of Environment 66 (1): 1–16. [CrossRef]. doi:10.1016/S0034-4257(98)00031-5.
   Web of Science ®Google Scholar
• Hong, G., P. Yang, F. Z. Weng, and Q. H. Liu. 2008. “Microwave Scattering Properties of Sand Particles: Application to the Simulation of Microwave Radiances over Sandstorms.” Journal of Quantitative Spectroscopy & Radiative Transfer 109 (4): 684–702. [CrossRef]. doi:10.1016/j.jqsrt.2007.08.018.
   Web of Science ®Google Scholar
• Huang, J., J. Guo, F. Wang, Z. Liu, M. J. Jeong, H. Yu, and Z. Zhang. 2015a. “CALIPSO Inferred Most Probable Heights of Global Dust and Smoke Layers.” Journal of Geophysical Research: Atmospheres 120 (10): 5085–5100. [CrossRef].
   Web of Science ®Google Scholar
• Huang, J. P., J. J. Liu, B. Chen, and S. L. Nasiri. 2015b. “Detection of Anthropogenic Dust Using CALIPSO Lidar Measurements.” Atmospheric Chemistry and Physics 15 (20): 11653–11665. [CrossRef]. doi:10.5194/acp-15-11653-2015.
   Web of Science ®Google Scholar
• Indoitu, R., L. Orlovsky, and N. Orlovsky. 2012. “Dust Storms in Central Asia: Spatial and Temporal Variations.” Journal of Arid Environments 85: 62–70. [CrossRef]. doi:10.1016/j.jaridenv.2012.03.018.
   Web of Science ®Google Scholar
• Jia, R., Y. Liu, S. Hua, Q. Zhu, and T. Shao. 2018. “Estimation of the Aerosol Radiative Effect over the Tibetan Plateau Based on the Latest CALIPSO Product.” Journal of Meteorological Research 32 (5): 707–722. [CrossRef]. doi:10.1007/s13351-018-8060-3.
   Web of Science ®Google Scholar
• Jiao, P., and A. H. Alavi. 2020. “Artificial Intelligence in Seismology: Advent, Performance and Future Trends.” Geoscience Frontiers 11 (3): 739–744. [CrossRef]. doi:10.1016/j.gsf.2019.10.004.
   Web of Science ®Google Scholar
• Jiao, P., K. J. I. Egbe, Y. Xie, A. Matin Nazar, and A. H. Alavi. 2020a. “Piezoelectric Sensing Techniques in Structural Health Monitoring: A State-of-the-art Review.” Sensors 20 (13): 3730. [CrossRef]. doi:10.3390/s20133730.
   PubMed Web of Science ®Google Scholar
• Jiao, P., Y. Xie, S. Wu, and X. Liu. 2020b. “Structural Instability-Enabled Mechanical Sensors Using Fiber Bragg Grating.” Materials 13 (11): 2599. [CrossRef]. doi:10.3390/ma13112599.
   PubMed Web of Science ®Google Scholar
• Jin, J., H. X. Lin, A. Segers, Y. Xie, and A. Heemink. 2019. “Machine Learning for Observation Bias Correction with Application to Dust Storm Data Assimilation.” Atmospheric Chemistry and Physics 19 (15): 10009–10026. [CrossRef]. doi:10.5194/acp-19-10009-2019.
   Web of Science ®Google Scholar
• Jordan, M. I., and T. M. Mitchell. 2015. “Machine Learning: Trends, Perspectives, and Prospects.” Science 349 (6245): 255–260. [CrossRef]. doi:10.1126/science.aaa8415.
   PubMed Web of Science ®Google Scholar
• Jose, S., B. Gharai, P. V. N. Rao, and C. B. S. Dutt. 2016. “Satellite-based Shortwave Aerosol Radiative Forcing of Dust Storm over the Arabian Sea.” Atmospheric Science Letters 17 (1): 43–50. [CrossRef]. doi:10.1002/asl.597.
   Web of Science ®Google Scholar
• Jury, M. R. 2018. “Climatic Modulation of Early Summer Dust Emissions over West Africa.” Journal of Arid Environments 152: 55–68. [CrossRef]. doi:10.1016/j.jaridenv.2018.01.019.
   Web of Science ®Google Scholar
• Kar, J., M. A. Vaughan, Z. Liu, A. H. Omar, C. R. Trepte, J. Tackett, T. D. Fairlie, and R. Kowch. 2015. “Detection of Pollution Outflow from Mexico City Using CALIPSO Lidar Measurements.” Remote Sensing of Environment 169: 205–211. [CrossRef]. doi:10.1016/j.rse.2015.08.009.
   Web of Science ®Google Scholar
• Karyampudi, V. M., S. P. Palm, J. A. Reagen, H. Fang, W. B. Grant, R. M. Hoff, C. Moulin, H. F. Pierce, O. Torres, and E. V. Browell. 1999. “Validation of the Saharan Dust Plume Conceptual Model Using Lidar, Meteosat, and ECMWF Data.” Bulletin of the American Meteorological Society 80 (6): 1045–1076. [CrossRef]. doi:10.1175/1520-0477(1999)080<1045:VOTSDP>2.0.CO;2.
   Web of Science ®Google Scholar
• Kaskaoutis, D. G., D. Francis, A. Rashki, J. P. Chaboureau, and U. C. Dumka. 2019b. “Atmospheric Dynamics from Synoptic to Local Scale during an Intense Frontal Dust Storm over the Sistan Basin in Winter 2019.” Geosciences 9 (10): 453. [CrossRef]. doi:10.3390/geosciences9100453.
   Web of Science ®Google Scholar
• Kaskaoutis, D. G., E. E. Houssos, A. Rashki, P. Francois, M. Legrand, D. Goto, A. Bartzokas, H. D. Kambezidis, and T. Takemura. 2016. “The Caspian Sea–Hindu Kush Index (Cashki): A Regulatory Factor for Dust Activity over Southwest Asia.” Global and Planetary Change 137: 10–23. [CrossRef]. doi:10.1016/j.gloplacha.2015.12.011.
   Web of Science ®Google Scholar
• Kaskaoutis, D. G., U. C. Dumka, A. Rashki, B. E. Psiloglou, A. Gavriil, A. Mofidi, K. Petrinoli, D. Karagiannis, and H. D. Kambezidis. 2019a. “Analysis of Intense Dust Storms over the Eastern Mediterranean in March 2018: Impact on Radiative Forcing and Athens Air Quality.” Atmospheric Environment 209: 23–39. [CrossRef]. doi:10.1016/j.atmosenv.2019.04.025.
   Web of Science ®Google Scholar
• Khan, N. Y. T., A. N. Saeed, M. U. Al-Ghadban, P. G. Beg, A. M. Jacob, H. Al-Dousari, M. Al-Shemmari, T. Al-Mutari, T. Al-Obaid, and K. Al-Matrouk. 1999. Assessment of Sediment Quality in Kuwait Territorial Water. [CrossRef]. Kuwait: Final Report, Kuwait Institute for Scientific Research.
   Google Scholar
• Kharol, ,. S. K., D. G. Kaskaoutis, K. V. S. Badarinath, A. R. Sharma, and R. P. Singh. 2013. “Influence of Land Use/land Cover (LULC) Changes on Atmospheric Dynamics over the Arid Region of Rajasthan State, India.” Journal Arid Environments 88: 90–101. [CrossRef]. doi:10.1016/j.jaridenv.2012.09.006.
   Web of Science ®Google Scholar
• Khusfi, Z. E., F. Roustaei, M. E. Khusfi, and S. Naghavi. 2019. “Investigation of the Relationship between Dust Storm Index, Climatic Parameters, and Normalized Difference Vegetation Index Using the Ridge Regression Method in Arid Regions of Central Iran.” Arid Land Research and Management 2019 [CrossRef]. 34(3): 239–263.
   Google Scholar
• Kishcha, P., P. Alpert, J. Barkan, I. Kirschner, and B. Machenhauer. 2003. “Atmospheric Response to Saharan Dust Deduced from ECMWF Reanalysis (ERA) Temperature Increments.” Tellus B: Chemical and Physical Meteorology 55 (4): 901–913. [CrossRef]. doi:10.1046/j.1435-6935.2003.00072.x.
   Web of Science ®Google Scholar
• Lee, E. H., and B. J. Sohn. 2011. “Recent Increasing Trend in Dust Frequency over Mongolia and Inner Mongolia Regions and Its Association with Climate and Surface Condition Change.” Atmospheric Environment 45 (27): 4611–4616. [CrossRef]. doi:10.1016/j.atmosenv.2011.05.065.
   Web of Science ®Google Scholar
• Lee, H., H. Kim, Y. Honda, Y. H. Lim, and S. Yi. 2013. “Effect of Asian Dust Storms on Daily Mortality in Seven Metropolitan Cities of Korea.” Atmospheric Environment 79: 510–517. [CrossRef]. doi:10.1016/j.atmosenv.2013.06.046.
   Web of Science ®Google Scholar
• Lee, J. A., M. C. Baddock, M. J. Mbuh, and T. E. Gill. 2012. “Geomorphic and Land Cover Characteristics of Aeolian Dust Sources in West Texas and Eastern New Mexico, USA.” Aeolian Research 3 (4): 459–466. [CrossRef]. doi:10.1016/j.aeolia.2011.08.001.
   Web of Science ®Google Scholar
• Lee, S. J., and K. Siau. 2001. “A Review of Data Mining Techniques.” Industrial Management & Data Systems 101 (1): 41–46. [CrossRef]. doi:10.1108/02635570110365989.
   Web of Science ®Google Scholar
• Li, G., F. Bihang, Z. Fuqing, J. Zhao, and L. Henry. 2018a. “The Clustering of Severe Dust Storm Occurrence in China from 1958 to 2007.” Journal of Geophysical Research Atmospheres 123: 8035–8046. [CrossRef].
   Web of Science ®Google Scholar
• Li, J., T. Kandakji, J. A. Lee, J. Tatarko, J. Blackwell, T. E. Gill, and J. D. Collins. 2018b. “Blowing Dust and Highway Safety in the Southwestern United States: Characteristics of Dust Emission “Hotspots” and Management Implications.” Science of the Total Environment 621: 1023–1032. [CrossRef]. doi:10.1016/j.scitotenv.2017.10.124.
   PubMed Web of Science ®Google Scholar
• Li, L., and I. N. Sokolik. 2018. “Analysis of Dust Aerosol Retrievals Using Satellite Data in Central Asia.” Atmosphere 9: 288. [CrossRef]. doi:10.3390/atmos9080288.
   Google Scholar
• Li, R., J. H. Gong, J. P. Zhou, W. Y. Sun, and A. N. Ibrahim. 2015. “Multi-Satellite Observation of an Intense Dust Event over Southwestern China.” Aerosol and Air Quality Research 15 (1): 263–270. [CrossRef]. doi:10.4209/aaqr.2014.02.0031.
   Web of Science ®Google Scholar
• Li, S., G. Xie, J. Ren, L. Guo, Y. Yang, and X. Xu. 2020. “Urban PM2.5 Concentration Prediction via Attention-Based CNN–LSTM.” Appl. Sci 10 (6): 1953. [CrossRef]. doi:10.3390/app10061953.
   Google Scholar
• Li, T., Q. Ren, and Y. Qiu. 2019. “Application of Improved Naive Bayesian-CNN Classification Algorithm in Sandstorm Prediction in Inner Mongolia.” Advances in Meteorology. 2019: 5176576. [CrossRef].
   Web of Science ®Google Scholar
• Li, X. S., H. Y. Wang, S. F. Zhou, B. Sun, and Z. H. Gao. 2016. “Did Ecological Engineering Projects Have A Significant Effect on Large-scale Vegetation Restoration in Beijing-Tianjin Sand Source Region, China? A Remote Sensing Approach.” Chinese Geographical Science 26 (2): 216–228. [CrossRef]. doi:10.1007/s11769-016-0801-6.
   Web of Science ®Google Scholar
• Li, Y., Y. Song, D. G. Kaskaoutis, X. Chen, Y. Mamadjanov, and L. Tan. 2019. “Atmospheric Dust Dynamics in Southern Central Asia: Implications for Buildup of Tajikistan Loess Sediments.” Atmospheric Research 229: 74–85. [CrossRef]. doi:10.1016/j.atmosres.2019.06.013.
   Web of Science ®Google Scholar
• Lim, J. Y., and Y. S. Chun. 2006. “The Characteristics of Asian Dust Events in Northeast Asia during the Springtime from 1993 to 2004.” Global and Planetary Change 52 (1–4): 231–247. [CrossRef]. doi:10.1016/j.gloplacha.2006.02.010.
   Web of Science ®Google Scholar
• Liu, G., and S. U. Park. 2007. “The Logarithm-linear Relationship of the Occurrence Frequency to the Duration of Sand-dust Storms: Evidence from Observational Data in China.” Journal of Arid Environments 71 (2): 243–249. [CrossRef]. doi:10.1016/j.jaridenv.2007.03.005.
   Web of Science ®Google Scholar
• Liu, M. Z., G. M. Jiang, L. H. Li, Y. G. Li, L. M. Gao, and S. L. Niu. 2004. “Control of Sandstorms in Inner Mongolia, China.” Environmental Conservation 31 (4): 269–273. [CrossRef]. doi:10.1017/S0376892904001675.
   Web of Science ®Google Scholar
• Liu, S. L., T. Wang, and D. Mouat. 2013. “Temporal and Spatial Characteristics of Dust Storms in the Xilingol Grassland, Northern China, during 1954–2007.” Regional Environmental Change 13 (1): 43–52. [CrossRef]. doi:10.1007/s10113-012-0314-5.
   Web of Science ®Google Scholar
• Liu, Y., and R. Liu. 2011. A Thermal Index from MODIS Data for Dust Detection. 2011 IEEE International Geoscience and Remote Sensing Symposium, 3783–3786. Vancouver, BC, Canada. [CrossRef]
   Google Scholar
• Lu, Z. Y., Q. M. Zhang, and Z. C. Zhao. 2006. SVM in the Sand-dust Storm Forecasting. Proceedings of the 2006 International Conference on Machine Learning and Cybernetics, 3677–3681. Dalian, China. [CrossRef]
   Google Scholar
• Luo, T., Z. Wang, D. Zhang, X. Liu, Y. Wang, and R. Yuan. 2015. “Global Dust Distribution from Improved Thin Dust Layer Detection Using A‐train Satellite Lidar Observations.” Geophysical Research Letters 42 (2): 620–628. [CrossRef]. doi:10.1002/2014GL062111.
   Web of Science ®Google Scholar
• Ma, X., Z. Huang, S. Qi, J. Huang, S. Zhang, Q. Dong, and X. Wang. 2020. “Ten-year Global Particulate Mass Concentration Derived from Space-borne CALIPSO Lidar Observations.” Science of the Total Environment 721: 137699. [CrossRef]. doi:10.1016/j.scitotenv.2020.137699.
   PubMed Web of Science ®Google Scholar
• Ma, Y. Y., W. Gong, P. C. Wang, and X. Q. Hu. 2011. “New Dust Aerosol Identification Method for Spaceborne Lidar Measurements.” Journal of Quantitative Spectroscopy & Radiative Transfer 112 (2): 338–345. [CrossRef]. doi:10.1016/j.jqsrt.2010.08.004.
   Web of Science ®Google Scholar
• Madron, X. D., C. Guieu, R. Sempéré, P. Conan, D. Cossa, F. D’Ortenzio, C. Estournel, F. Gazeau, C. Rabouille, and L. Stemmann. 2011. “Marine Ecosystems’ Responses to Climatic and Anthropogenic Forcings in the Mediterranean.” Progress in Oceanography 91: 97–166. [CrossRef].
   Web of Science ®Google Scholar
• Maeda, K., T. Ogawa, and M. Haseyama. 2017. Automatic Martian Dust Storm Detection via Decision Level Fusion Based on Deep Extreme Learning Machine. 2017 IEEE International Conference on Image Processing (ICIP), 435–439. Beijing, China. [CrossRef]
   Google Scholar
• Mazar, Y., E. Cytryn, Y. Erel, and Y. Rudich. 2016. “Effect of Dust Storms on the Atmospheric Microbiome in the Eastern Mediterranean.” Environmental Science & Technology 50 (8): 4194–4202. [CrossRef]. doi:10.1021/acs.est.5b06348.
   PubMed Web of Science ®Google Scholar
• McPeters, R., P. K. Bhartia, A. Krueger, J. Herman, C. Wellemeyer, C. Seftor, G. Jaross, O. Torres, L. Moy, and G. Labow. Earth Probe Total Ozone Mapping Spectrometer (TOMS) Data Product User’s Guide. NASA/TP. 1998. 206895. NSN 7540-01-280-5500. [CrossRef].
   Google Scholar
• Menendez, I., J. L. Diaz-Hernandez, J. Mangas, I. Alonso, and P. J. Sanchez-Soto. 2007. “Airborne Dust Accumulation and Soil Development in the North–East Sector of Gran Canaria (Canary Islands, Spain).” Journal of Arid Environments 71 (1): 57–81. [CrossRef]. doi:10.1016/j.jaridenv.2007.03.011.
   Web of Science ®Google Scholar
• Menut, L. 2008. “Sensitivity of Hourly Saharan Dust Emissions to NCEP and ECMWF Modeled Wind Speed.” Journal of Geophysical Research 113 (D16): D16. [CrossRef]. doi:10.1029/2007JD009522.
   Web of Science ®Google Scholar
• Middleton, N. 2019. “Variability and Trends in Dust Storm Frequency on Decadal Timescales: Climatic Drivers and Human Impacts.” Geosciences 9 (6): 261. [CrossRef]. doi:10.3390/geosciences9060261.
   Web of Science ®Google Scholar
• Middleton, N., P. Tozer, and B. Tozer. 2019. “Sand and Dust Storms: Underrated Natural Hazards.” Disasters 43 (2): 390–409. [CrossRef]. doi:10.1111/disa.12320.
   PubMed Web of Science ®Google Scholar
• Middleton, N., and U. Kang. 2017. “Sand and Dust Storms: Impact Mitigation.” Sustainability 9 (6): 1053. [CrossRef]. doi:10.3390/su9061053.
   Web of Science ®Google Scholar
• Middleton, N. J. 2017. “Desert Dust Hazards: A Global Review.” Aeolian Research 24: 53–63. [CrossRef]. doi:10.1016/j.aeolia.2016.12.001.
   Web of Science ®Google Scholar
• Miller, S. D. 2003. “A Consolidated Technique for Enhancing Desert Dust Storms with MODIS.” Geographical Research Letters 30 (20): 121–124. [CrossRef]. doi:10.1029/2003GL018279.
   Web of Science ®Google Scholar
• Miner, G., R. Nisbet, and J. Elder. 2009. “Handbook of Statistical Analysis and Data Mining Applications.” Burlington: ELSEVIER. ISBN 978-0-12-374765-5. [CrossRef].
   Google Scholar
• Mirzahosseini, M., P. Jiao, K. Barri, K. A. Riding, and A. H. Alavi. New Machine Learning Prediction Models for Compressive Strength of Concrete Modified with Glass Cullet. Engineering Computations 2019, [CrossRef]. (3). doi: 10.1108/EC-08-2018-0348.
   Web of Science ®Google Scholar
• Modarres, R. 2018. “Bivariate Trend Assessment of Dust Storm Frequency in Relation to Climate Drivers.” Natural Hazards and Earth System Sciences Discussions 2018: 1–24. [CrossRef].
   Google Scholar
• Modarres, R., and S. Sadeghi. 2018. “Spatial and Temporal Trends of Dust Storms across Desert Regions of Iran.” Nature Hazards 90 (1): 101–114. [CrossRef]. doi:10.1007/s11069-017-3035-8.
   Web of Science ®Google Scholar
• Mona, L., Z. Liu, D. Müller, A. Omar, A. Papayannis, G. Pappalardo, and M. Vaughan. 2012. “Lidar Measurements for Desert Dust Characterization: An Overview.” Advances in Meteorology [CrossRef]. 2012: 356265.
   Web of Science ®Google Scholar
• Morcrette, -J.-J., A. Beljaars, A. Benedetti, L. Jones, and O. Boucher. 2008. “Sea-salt and Dust Aerosols in the ECMWF IFS Model.” Geophysical Research Letters 35 (24): : L24813. [CrossRef]. doi:10.1029/2008GL036041.
   PubMed Web of Science ®Google Scholar
• Mousavi, S. M., E. S. Mostafavi, and P. Jiao. 2017. “Next Generation Prediction Model for Daily Solar Radiation on Horizontal Surface Using a Hybrid Neural Network and Simulated Annealing Method.” Energy Conversion and Management 153: 671–682. [CrossRef]. doi:10.1016/j.enconman.2017.09.040.
   Web of Science ®Google Scholar
• Mujlid, H. M. Real-time Monitoring of Sand and Dust Storm Winds Using Wireless Sensor Technology. Theses/Dissertations. 2016. [CrossRef]
   Google Scholar
• Mukkavilli, S. K., A. A. Prasad, R. A. Taylor, J. Huang, R. M. Mitchell, A. Troccoli, and M. Kay. 2019. “Assessment of Atmospheric Aerosols from Two Reanalysis Products over Australia.” Atmospheric Research 215: 149–164. [CrossRef]. doi:10.1016/j.atmosres.2018.08.026.
   Web of Science ®Google Scholar
• Naeger, A. R., G. Pawan, B. T. Zavodsky, and K. M. McGrath. 2016. “Monitoring and Tracking the trans-Pacific Transport of Aerosols Using Multi-satellite Aerosol Optical Depth Composites.” Atmospheric Measurement Techniques 9 (6): 2463–2482. [CrossRef]. doi:10.5194/amt-9-2463-2016.
   Web of Science ®Google Scholar
• Namdari, S., N. Karimi, A. Sorooshian, G. H. Mohammadi, and S. Sehatkashan. 2018. “Impacts of Climate and Synoptic Fluctuations on Dust Storm Activity over the Middle East.” Atmospheric Environment 173: 265–276. [CrossRef]. doi:10.1016/j.atmosenv.2017.11.016.
   PubMed Web of Science ®Google Scholar
• Natsagdorj, L., D. Jugder, and Y. S. Chung. 2003. “Analysis of Dust Storms Observed in Mongolia during 1937–1999.” Atmospheric Environment 37 (9–10): 1401–1411. [CrossRef]. doi:10.1016/S1352-2310(02)01023-3.
   Web of Science ®Google Scholar
• Noble, W. S. 2006. “What Is a Support Vector Machine?.” Nature Biotechnology 24 (12): 1565–1567. [CrossRef]. doi:10.1038/nbt1206-1565.
   PubMed Web of Science ®Google Scholar
• Nordstrom, K. F., and S. Hotta. 2004. “Wind Erosion from Cropland in the USA: A Review of Problems, Solutions and Prospects.” Geoderma 121 (3–4): 157–167. [CrossRef]. doi:10.1016/j.geoderma.2003.11.012.
   Web of Science ®Google Scholar
• O’Loingsigh., T., G. H. McTainsh, E. K. Tews, C. L. Strong, J. F. Leys, P. Shinkfield, and N. J. Tapper. 2014. “The Dust Storm Index (DSI): A Method for Monitoring Broadscale Wind Erosion Using Meteorological Records.” Aeolian Research 12: 29–40. [CrossRef]. doi:10.1016/j.aeolia.2013.10.004.
   Web of Science ®Google Scholar
• Okin, G. S., N. Mahowald, O. A. Chadwick, and P. Artaxo. 2004. “Impact of Desert Dust on the Biogeochemistry of Phosphorus in Terrestrial Ecosystems.” Global Biogeochemical Cycles [CrossRef]. 18: 1–9.
   Web of Science ®Google Scholar
• Özdemir, E. T., F. M. Korkmaz, and V. Yavuz. 2018. “Synoptic Analysis of Dust Storm over Arabian Peninsula: A Case Study on February 28, 2009.” Natural Hazards 92 (2): 805–827. [CrossRef]. doi:10.1007/s11069-018-3226-y.
   Web of Science ®Google Scholar
• Parajuli, S. P., Z. L. Yang, and D. M. Lawrence. 2016. “Diagnostic Evaluation of the Community Earth System Model in Simulating Mineral Dust Emission with Insight into Large-scale Dust Storm Mobilization in the Middle East and North Africa (MENA).” Aeolian Research 21: 21–35. [CrossRef]. doi:10.1016/j.aeolia.2016.02.002.
   Web of Science ®Google Scholar
• Paris, C., M. Parisse, A. Nascetti, R. Cica, and N. A. Salman. The TIGRIsat Camera A Nanosatellite Optical Payload for Detecting Dust and Sand Storms. 2015 IEEE 15th International Conference on Environment and Electrical Engineering (EEEIC), 2015, 1605–1610. Rome, Italy. [CrossRef]
   Google Scholar
• Park, J. W., Y. H. Lim, S. Y. Kyung, C. H. An, S. P. Lee, S. H. Jeong, and Y.-S. Ju. 2005. “Effects of Ambient Particulate Matter on Peak Expiratory Flow Rates and Respiratory Symptoms of Asthmatics during Asian Dust Periods in Korea.” Respirology 10 (4): 470–476. [CrossRef]. doi:10.1144/990680.990707.
   PubMed Web of Science ®Google Scholar
• Perrig, A., J. Stankovic, and D. Wagner. 2004. “Security in Wireless Sensor Networks.” Communications of the ACM 47 (6): 53–57. [CrossRef]. doi:10.1145/990680.990707.
   Web of Science ®Google Scholar
• Prospero, J. M., P. Ginoux, O. Torres, S. E. Nicholson, and T. E. Gill. 2002. “Environmental Characterization of Global Sources of Atmospheric Soil Dust Identified with the Nimbus 7 Total Ozone Mapping Spectrometer (TOMS) Absorbing Aerosol Product.” Reviews of Geophysics 40 (1): 21–231. [CrossRef]. doi:10.1029/2000RG000095.
   Web of Science ®Google Scholar
• Qian., W. H., L. S. Quan, and S. Y. Shi. 2002. “Variations of the Dust Storm in China and Its Climatic Control.” Journal of Climate 15 (10): 1216–1229. [CrossRef]. doi:10.1175/1520-0442(2002)015<1216:VOTDSI>2.0.CO;2.
   Web of Science ®Google Scholar
• Qiu, X. F., Z. Yan, and Q. L. Miao. 2001. “Sand-dust storms in China: temporal-spatial distribution and tracks of source 774 lands.” Journal of Geographical Sciences 11: 253–260. doi:10.1007/BF02892308
   Google Scholar
• Qu, J. J., X. Hao, M. Kafatos, and L. Wang. 2006. “Asian Dust Storm Monitoring Combining Terra and Aqua MODIS SRB Measurements.” IEEE Geoscience and Remote Sensing Letters 3 (4): 484–486. [CrossRef]. doi:10.1109/LGRS.2006.877752.
   Web of Science ®Google Scholar
• Rahmati, O., M. Panahi, S. S. Ghiasi, R. C. Deo, J. P. Tiefenbacher, B. Pradhan, A. Jahani, et al. 2020. “Hybridized Neural Fuzzy Ensembles for Dust Source Modeling and Prediction.” Atmospheric Environment 224: 117320. [CrossRef]. doi:10.1016/j.atmosenv.2020.117320.
   Web of Science ®Google Scholar
• Randles, C. A., A. M. Da Silva, V. Buchard, P., . R. Colarco, A. Darmenov, R. C. Govindaraju, A. Smirnov, B. N. Holben, R. A. Ferrare, and J. W. Hair. 2017. “The MERRA-2 Aerosol Reanalysis, 1980 Onward. Part I: System Description and Data Assimilation Evaluation.” Journal of Climate 30 (17): 6823–6850. [CrossRef]. doi:10.1175/JCLI-D-16-0609.1.
   Web of Science ®Google Scholar
• Rashki, A., D. G. Kaskaoutis, and A. Sepehr. 2018. “Statistical Evaluation of the Dust Events at Selected Stations in Southwest Asia: From the Caspian Sea to the Arabian Sea.” CATENA 165: 590–603. [CrossRef]. doi:10.1016/j.catena.2018.03.011.
   Web of Science ®Google Scholar
• Rashki, A., D. G. Kaskaoutis, C. J. D. Rautenbach, P. G. Eriksson, M. Qiang, and P. Gupta. 2012. “Dust Storms and Their Horizontal Dust Loading in the Sistan Region, Iran.” Aeolian Research 5: 51–62. [CrossRef]. doi:10.1016/j.aeolia.2011.12.001.
   Web of Science ®Google Scholar
• Rashki, A., D. G. Kaskaoutis, P. Francois, P. G. Kosmopoulos, and M. Legrand. 2015. “Dust-storm Dynamics over Sistan Region, Iran: Seasonality, Transport Characteristics and Affected Areas.” Aeolian Research 16: 35–48. [CrossRef]. doi:10.1016/j.aeolia.2014.10.003.
   Web of Science ®Google Scholar
• Rashki, A., M. Arjmand, and D. G. Kaskaoutis. 2017. “Assessment of Dust Activity and Dust-plume Pathways over Jazmurian Basin, Southeast Iran.” Aeolian Research 24: 145–160. [CrossRef]. doi:10.1016/j.aeolia.2017.01.002.
   Web of Science ®Google Scholar
• Ravindra, B. 2018. “Forecasting Solar Radiation during Dust Storms Using Deep Learning.” arXiv Preprint arXiv 1808: 10854. [CrossRef].
   Google Scholar
• Remer, L. A., Y. J. Kaufman, D. Tanré, S. Mattoo, D. A. Chu, J. V. Martins, -R.-R. Li, et al. 2005. “The MODIS Aerosol Algorithm, Products, and Validation.” Journal of the Atmospheric Sciences 62 (4): 947–973. [CrossRef]. doi:10.1175/JAS3385.1.
   Web of Science ®Google Scholar
• Rezazadeh, M., P. Irannejad, and Y. Shao. 2013. “Climatology of the Middle East Dust Events.” Aeolian Research 10: 103–109. [CrossRef]. doi:10.1016/j.aeolia.2013.04.001.
   Web of Science ®Google Scholar
• Ridley, D. A., C. L. Heald, J. F. Kok, and C. Zhao. 2016. “An Observationally Constrained Estimate of Global Dust Aerosol Optical Depth.” Atmosphere Chemisty and Physics 16 (23): 15097–15117. [CrossRef]. doi:10.5194/acp-16-15097-2016.
   Web of Science ®Google Scholar
• Ridley, D. A., C. L. Heald, and J. M. Prospero. 2014. “What Controls the Recent Changes in African Mineral Dust Aerosol across the Atlantic?.” Atmospheric Chemistry and Physics 14 (11): 5735–5747. [CrossRef]. doi:10.5194/acp-14-5735-2014.
   Web of Science ®Google Scholar
• Rienecker, M. M., M. J. Suarez, R. Gelaro, R. Todling, J. T. Bacmeister, E. Liu, M. G. Bosilovich, S. D. Schubert, L. L. Takacs, and G. Kim. 2011. “MERRA: NASA’s Modern–Era Retrospective Analysis for Research and Applications.” Journal of Climate 24 (14): 2648–3624. [CrossRef]. doi:10.1175/JCLI-D-11-00015.1.
   Web of Science ®Google Scholar
• Rodríguez, S., E. Cuevas, J. M. Prospero, A. Alastuey, X. Querol, J. López-Solano, M. I. García, and S. Alonso-Pérez. 2015. “Modulation of Saharan Dust Export by the North African Dipole.” Atmospheric Chemistry and Physics 15 (13): 7471–7486. [CrossRef]. doi:10.5194/acp-15-7471-2015.
   Web of Science ®Google Scholar
• San-Chao, L., L. Qinhuo, G. Maofang, and C. Liangfu. 2006. Detection of Dust Storms by Using Daytime and Nighttime Multi-spectral MODIS Images. 2006 IEEE International Symposium on Geoscience and Remote Sensing, 294–296. Denver, Co, USA. [CrossRef]
   Google Scholar
• Sannazzaro, F., C. Filizzola, F. Marchese, R. Corrado, R. Paciello, G. Mazzeo, N. Pergola, and V. Tramutoli. 2014. “Identification of Dust Outbreaks on Infrared MSG-SEVIRI Data by Using a Robust Satellite Technique (RST).” Acta Astronautica 93: 64–70. [CrossRef]. doi:10.1016/j.actaastro.2013.07.003.
   Web of Science ®Google Scholar
• Schepanski, K. 2018. “Transport of Mineral Dust and Its Impact on Climate.” Geosciences 8 (5): 151. [CrossRef]. doi:10.3390/geosciences8050151.
   Web of Science ®Google Scholar
• Shaiba, H. A., N. S. Alaashoub, and A. A. Alzahrani. 2018. Applying Machine Learning Methods for Predicting Sand Storms. 2018 1st International Conference on Computer Applications & Information Security (ICCAIS), 1–5. Riyadh, Saudi Arabia. [CrossRef]
   Google Scholar
• Shao, Y., and C. H. Dong. 2006. “A Review on East Asian Dust Storm Climate, Modelling and Monitoring.” Global and Planetary Change 52 (1–4): 1–22. [CrossRef]. doi:10.1016/j.gloplacha.2006.02.011.
   Web of Science ®Google Scholar
• Sharma, D., D. Singh, and D. G. Kaskaoutis. 2012. “Impact of Two Intense Dust Storms on Aerosol Characteristics and Radiative Forcing over Patiala, Northwestern India.” Advances in Meteorology,956814.
   Web of Science ®Google Scholar
• Shi, L., J. Zhang, F. Yao, D. Zhang, and H. Guo. 2019. “Temporal Variation of Dust Emissions in Dust Sources over Central Asia in Recent Decades and the Climate Linkages.” Atmospheric Environment 222: 117176. [CrossRef]. doi:10.1016/j.atmosenv.2019.117176.
   Web of Science ®Google Scholar
• Soleimani, S., P. Jiao, S. Rajaei, and R. Forsati. 2018. “A New Approach for Prediction of Collapse Settlement of Sandy Gravel Soils.” Engineering with Computers 34 (1): 15–24. [CrossRef]. doi:10.1007/s00366-017-0517-y.s
   Web of Science ®Google Scholar
• Souri, A. H., and S. Vajedian. 2015. “Dust Storm Detection Using Random Forests and Physical-based Approaches over the Middle East.” Journal of Earth System Science 124 (5): 1127–1141. [CrossRef]. doi:10.1007/s12040-015-0585-6.
   Web of Science ®Google Scholar
• Stolarski, R. S., P. Bloomfield, R. D. McPeters, and J. R. Herman. 1991. “Total Ozone Trends Deduced from Nimbus 7 Toms Data.” Geographical Research Letters 18 (6): 1015–1018. [CrossRef]. doi:10.1029/91GL01302.
   Web of Science ®Google Scholar
• Su, Q. H., L. Sun, Y. K. Yang, X. Y. Zhou, R. B. Li, and S. F. Jia. 2017. “Dynamic Monitoring of the Strong Sandstorm Migration in Northern and Northwestern China via Satellite Data.” Aerosol and Air Quality Research 17 (12): 3244–3252. [CrossRef]. doi:10.4209/aaqr.2016.12.0600.
   Web of Science ®Google Scholar
• Sui, Y. Z., and H. M. Yuan. 2007. “Agroecological and Economic Approach of Prevention and Curing of Sandstorms in China.” Ecological Economics 61 (1): 129–133. [CrossRef]. doi:10.1016/j.ecolecon.2006.02.008.
   Web of Science ®Google Scholar
• Sun, E. W., H. Z. Che, X. F. Xu., Z. Z. Wang, C. S. Lu, K. Gui, H. J. Zhao, Y. Zheng, Y. Q. Wang., and H. Wang. 2019a. “Variation in MERRA-2 Aerosol Optical Depth over the Yangtze River Delta from 1980 to 2016.” Theoretical and Applied Climatology 136 (1–2): 363–375. [CrossRef]. doi:10.1007/s00704-018-2490-9.
   Web of Science ®Google Scholar
• Sun, E. W., X. F. Xua, H. Z. Che, Z. W. Tang, G. Ke, L. C. An, C. S. Lua, and G. Y. Shi. 2019b. “Variation in MERRA-2 Aerosol Optical Depth and Absorption Aerosol Optical Depth over China from 1980 to 2017.” Journal of Atmospheric and Solar-Terrestrial Physics 186: 8–19. [CrossRef]. doi:10.1016/j.jastp.2019.01.019.
   Web of Science ®Google Scholar
• Suwaidi, A. A., A. A. Rais, and H. Ghedira. Developing a Satellite-Based Tool to Monitor Dust and Sand Storms in the UAE. 2010 IEEE International Geoscience and Remote Sensing Symposium, 2010, 1434–1437. Honolulu, HI, USA. [CrossRef]
   Google Scholar
• Tackett, J. L., D. M. Winker, B. J. Getzewich, M. A. Vaughan, S. A. Young, and J. Kar. 2018. “CALIPSO Lidar Level 3 Aerosol Profile Product: Version 3 Algorithm Design.” Atmospheric Measurement Techniques 11 (7): 4129–4152. [CrossRef]. doi:10.5194/amt-11-4129-2018.
   PubMed Web of Science ®Google Scholar
• Tang, Q. X., Y. C. Bo, and Y. X. Zhu. 2016. “Spatiotemporal Fusion of Multiple-satellite Aerosol Optical Depth (AOD) Products Using Bayesian Maximum Entropy Method.” Journal of Geophysical Research: Atmospheres 121: 4034–4048. [CrossRef].
   Web of Science ®Google Scholar
• Tao, Y., X. An, Z. Sun, Q. Hou, and Y. Wang. 2012. “Association between Dust Weather and Number of Admissions for Patients with Respiratory Diseases in Spring in Lanzhou.” Science of the Total Environment 423: 8–11. [CrossRef]. doi:10.1016/j.scitotenv.2012.01.064.
   PubMed Web of Science ®Google Scholar
• Tegen, I., and R. L. Miller. 1998. “A General Circulation Model Study on the Interannual Variability of Soil Dust Aerosol.” Journal of Geophysical Research 103 (D20): 25975–25995. [CrossRef]. doi:10.1029/98JD02345.
   Web of Science ®Google Scholar
• Thalib, L., and A. Al-Taiar. 2012. “Dust Storms and the Risk of Asthma Admissions to Hospitals in Kuwait.” Science of the Total Environment 433: 347–351. [CrossRef]. doi:10.1016/j.scitotenv.2012.06.082.
   PubMed Web of Science ®Google Scholar
• Tong, D. Q., M. Dan, T. Wang, and P. Lee. 2012. “Long-term Dust Climatology in the Western United States Reconstructed from Routine Aerosol Ground Monitoring.” Atmospheric Chemistry and Physics 12 (11): 5189–5205. [CrossRef]. doi:10.5194/acp-12-5189-2012.
   Web of Science ®Google Scholar
• Tramutoli, V., C. Filizzola, F. Marchese, G. Mazzeo, R. Paciello, N. Pergola, C. Pietrapertosa, and F. Sannazzaro. 2010. A Robust Satellite Technique (RST) for Dust Storm Detection and Monitoring: The Case of 2009 Australian Event. IEEE International Geoscience and Remote Sensing Symposium, 1707–1709. [CrossRef]. Honolulu, HI, USA.
   Google Scholar
• Tsolmon, R., L. Ochirkhuyag, and T. Sternberg. 2008. “Monitoring the Source of Trans-national Dust Storms in North East Asia.” International Journal of Digital Earth 1:1 (1): 119–129. [CrossRef]. doi:10.1080/17538940701782593.
   Web of Science ®Google Scholar
• Veselovskii, I., P. Goloub, T. Podvin, D. Tanre, A. Da Silva, P. Colarco, P. Castellanos, M. Korenskiy, Q. Y. Hu, and D. N. Whiteman. 2018. “Characterization of Smoke/dust Episode over West Africa: Comparison of MERRA-2 Modeling with Multiwavelength Mie-Raman Lidar Observations.” Atmospheric Measurement Techniques 11 (2): 949–969. [CrossRef]. doi:10.5194/amt-11-949-2018.
   PubMed Web of Science ®Google Scholar
• Wang, M., H. Ming, Z. Ruan, L. Gao, and D. Yang. 2018. “Quantitative Detection of Mass Concentration of Sand-dust Storms via Wind-profiling Radar and Analysis of Z-M Relationship.” Theoretical and Applied Climatology 131 (3–4): 927–935. [CrossRef]. doi:10.1007/s00704-016-2012-6.
   Web of Science ®Google Scholar
• Wang, P., Z. Sun, M. C. Vuran, M. A. Al-Rodhaan, A. M. Al-Dhelaan, and I. F. Akyildiz. 2011. “On Network Connectivity of Wireless Sensor Networks for Sandstorm Monitoring.” Computer Networks 55 (5): 1150–1157. [CrossRef]. doi:10.1016/j.comnet.2010.11.008.
   Web of Science ®Google Scholar
• Wang, X. M., C. X. Zhang, E. Hasi, and Z. B. Dong. 2010. “Has the Three Norths Forest Shelterbelt Program Solved the Desertification and Dust Storm Problems in Arid and Semiarid China?.” Journal of Arid Environments 74 (1): 13–22. [CrossRef]. doi:10.1016/j.jaridenv.2009.08.001.
   Web of Science ®Google Scholar
• Wang, X. M., Z. B. Dong, J. W. Zhang, and L. C. Liu. 2004. “Modern Dust Storms in China: An Overview.” Journal of Arid Environments 58 (4): 559–574. [CrossRef]. doi:10.1016/j.jaridenv.2003.11.009.
   Web of Science ®Google Scholar
• Washington, R., M. Todd, N. J. Middleton, and A. S. Goudie. 2003. “Dust-Storm Source Areas Determined by the Total Ozone Monitoring Spectrometer and Surface Observations.” Annals of the Association of American Geographers 93 (2): 297–313. [CrossRef]. doi:10.1111/1467-8306.9302003.
   Web of Science ®Google Scholar
• Wei, A., and Z. Meng. 2006. “Evaluation of Micronucleus Induction of Sand Dust Storm Fine Particles (PM2.5) In Human Blood Lymphocytes.” Environmental Toxicology and Pharmacology 22 (3): 292–297. [CrossRef]. doi:10.1016/j.etap.2006.04.003.
   PubMed Web of Science ®Google Scholar
• WMO. 2005. Climate and Land Degradation, ISBN 978-92-63-10989-7. [CrossRef]. Switzerland: World Meteorological Organization.
   Google Scholar
• Wu, S. J., Q. Feng, Y. Du, and X. D. Li. 2011. “Artificial Neural Network Models for Daily PM 10 Air Pollution Index Prediction in the Urban Area of Wuhan, China.” Environmental Engineering Science 28 (5): 357–363. [CrossRef]. doi:10.1089/ees.2010.0219.
   Web of Science ®Google Scholar
• Xu, J. 2006. “Sand-dust Storms in and around the Ordos Plateau of China as Influenced by Land Use Change and Desertification.” CATENA 65 (3): 279–284. [CrossRef]. doi:10.1016/j.catena.2005.12.006.
   Web of Science ®Google Scholar
• Yang, W., A. Marshak, T. Várnai, O. V. Kalashnikova, and A. B. Kostinski. 2012. “CALIPSO Observations of Transatlantic Dust: Vertical Stratification and Effect of Clouds.” Atmospheric Chemistry and Physics 12 (23): 11339–11354. [CrossRef]. doi:10.5194/acp-12-11339-2012.
   Web of Science ®Google Scholar
• Yao, X. 1999. “Evolving Artificial Neural Networks.” Proceedings of the IEEE 87 (9): 1423–1447. [CrossRef]. doi:10.1109/5.784219.
   Web of Science ®Google Scholar
• Zhang, Q., X. Zhao, Y. Zhang, and L. Li. 2002. “Preliminary Study on Sand-dust Storm Disaster and Countermeasures in China.” Chinese Geographical Science 12 (1): 9–13. [CrossRef]. doi:10.1007/s11769-002-0064-2.
   Web of Science ®Google Scholar
• Zhang, W. Y., X. Liu, and W. Xiao. 2009. “Software Design of Sand-Dust Storm Warning System Based on Grey Correlation Analysis and Particle Swarm Optimization Support Vector Machine.” 2009 2nd International Conference on Power Electronics and Intelligent Transportation System 2: 47–50. [CrossRef].
   Google Scholar
• Zhang, X. X., C. Claiborn, J. Q. Lei, J. Vaughan, S. X. Wu, S. Y. Li, L. Y. Liu, et al. 2020. “Aeolian Dust in Central Asia: Spatial Distribution and Temporal Variability.” Atmospheric Environment 238: 117734. [CrossRef]. doi:10.1016/j.atmosenv.2020.117734.
   Web of Science ®Google Scholar
• Zhang, Z. H., C. Ma, J. H. Xu, J. N. Huang, and L. X. Li. 2014. “Novel Combinational Forecasting Model of Dust Storms Based on Rare Classes Classification Algorithm.” Communications in Computer and Information Science 482: 520–537. [CrossRef].
   Google Scholar
• Zhao, Y. Y., Z. B. Xin, and G. D. Ding. 2018. “Spatiotemporal Variation in the Occurrence of Sand-dust Events and Its Influencing Factors in the Beijing-Tianjin Sand Source Region, China, 1982–2013.” Regional Environmental Change 18 (8): 2433–2444. [CrossRef]. doi:10.1007/s10113-018-1365-z.
   Web of Science ®Google Scholar
• Zheng, L., F. Wang, X. Zheng, and B. Liu. 2019. “Discovering the Relationship of Disasters from Big Scholar and Social Media News Datasets.” International Journal of Digital Earth 12 (11): 1341–1363. [CrossRef]. doi:10.1080/17538947.2018.1514082.
   Web of Science ®Google Scholar