Analysis of dust changes using satellite images in Giovanni NASA and Sentinel in Google Earth Engine in western Iran
محورهای موضوعی : Environment
Narges Ghane Ezabadi
1
(PhD Student, Urban planning, Yazd Branch, Islamic Azad University, Yazd, Iran)
Susan Azhdar
2
(PhD Student, Urban planning, Yazd Branch, Islamic Azad University, Yazd, Iran)
Ali Akbar Jamali
3
(Associate prof., Maybod Branch, Islamic Azad University, Maybod, Yazd, Iran)
کلید واژه: wind, Vegetation, dust, Giovanni NASA,
چکیده مقاله :
Background and objective:Dust is one of the most important destructive climatic phenomena that cause great damage to human health and the environment every year. In Iran, due to having a 23% share of dust storms in the world and the transfer of dust from Iraq and Saudi Arabia, it is necessary to study it. Dust storms in Iran during the last few years have been a serious crisis in the western and south-western provinces of the country, including Khuzestan province, and have had dangerous consequences in the fields of environment, health, and economy.Materials and methods:This study examines the changes in the dust during the last 40 years (1980-2020) in the western and south-western regions of Iran and Iran's neighbors (Kuwait, east and southeast of Iraq, and northern Saudi Arabia). And its relationship to wind stress and vegetation has been investigated using MERRA-2 satellite imagery and model maps from the Giovanni site. Dust monitoring from June 2018 to February 2021 has also been analyzed through Google Earth Engine, a specialized web-based remote sensing system.Results and conclusion:The results show that during the 40 years under study, especially from 2020 to 2010, the volume of dust and wind stress in the study area has increased significantly. Also, dust, vegetation, wind stress have had related changes over 40 years, so that wind stress is directly related to the amount of dust and increases its effects. Also, in areas with more vegetation, there is less dust.
Achudume, A.C. & Oladipo, B.O. (2009).Effects of dust storms on health in the Nigerian, Environment Biology and Medicine, 1(4). 21-27.
Akhlaq M, Sheltami TR, Mouftah HT. (2012). A review of techniques and technologies for sand and dust storm detection. Reviews in Environmental Science and BioTechnology, 11(3). 305-322. https://doi.org/10.1007/s11157-012-9282-y
Berrick, S.W, Leptoukh, G, Farley, J.D, Rui, Hualan. (2009). Giovanni: A Web Service Workflow-Based Data Visualization and Analysis System. IEEE Transactions on Geoscience and Remote Sensing. 47(1). https://doi.org/10.1109/TGRS.2008.2003183
Fenta, A. A., Tsunekawa, A., Haregeweyn, N., Poesen, J., Tsubo, M., Borrelli, P. ... & Kawai, T. (2020). Land susceptibility to water and wind erosion risks in the East Africa region. Science of the Total Environment, 703, 135016. https://doi.org/10.1016/j.scitotenv.2019.135016
Gorelick, N, Hancher, M, Hancher, M, Ilyushchenko, S, Thau, D, Moore, R. (2017). Google Earth Engine: Planetary-scale geospatial analysis for everyone, Remote Sensing of Environment, Volume 202: 18-27. https://doi.org/10.1016/j.rse.2017.06.031
He, S., Wang, D., Li, Y., Zhao, P., Lan, H., Chen, W., & Chen, X. (2021). Social-ecological system resilience of debris flow alluvial fans in the Awang basin, China. Journal of Environmental Management, 286, 112230. https://doi.org/10.1016/j.jenvman.2021.112230
He, S., Wang, D., Zhao, P., Li, Y., Lan, H., Chen, W., & Jamali, A. A. (2020). A review and prospects of debris flow waste-shoal land use in typical debris flow areas, China. Land Use Policy, 99, 105064. https://doi.org/10.1016/j.landusepol.2020.105064
Jamali, A. A., & Ghorbani Kalkhajeh, R. (2019). Urban environmental and land cover change analysis using the scatter plot, kernel, and neural network methods. Arabian Journal of Geosciences, 12(3), 100. https://doi.org/10.1007/s12517-019-4258-7
Jamali, A. A., Montazeri Naeeni, M. A., & Zarei, G. (2020). Assessing the expansion of saline lands through vegetation and wetland loss using remote sensing and GIS. Remote Sensing Applications: Society and Environment, 20, 100428. https://doi.org/10.1016/j.rsase.2020.100428
Jamali, A. A., Tabatabaee, R., & Randhir, T. O. (2021). Ecotourism and socioeconomic strategies for Khansar River watershed of Iran. Environment, Development and Sustainability, 1-17. https://link.springer.com/article/10.1007/s10668-021-01334-y
Koohestani, B., Darban, A. K., Mokhtari, P., Darezereshki, E., & Yilmaz, E. R. O. L. (2020). Geopolymerization of soil by sodium silicate as an approach to control wind erosion. International Journal of Environmental Science and Technology, 1-12. https://doi.org/10.1007/s13762-020-02943-2
Kumar, L, Mutanga, O. (2018). Google Earth Engine Applications since Inception: Usage, Trends, and Potential. Remote Sens, 10(10). 1-15. https://doi.org/10.3390/rs10101509
Kutiel, H. & Furman, H. (2003). Dust Storms in the Middle East: Sources of Origin and their Temporal Characteristics, Indoor Built Environ, 12. 419-26. https://doi.org/10.1177/1420326X03037110
Middleton, N., Tozer, P., & Tozer, B. (2019). Sand and dust storms: underrated natural hazards. Disasters, 43(2). 390-409. https://doi.org/10.1111/disa.12320
Modarres, R. (2008). Regional maximum wind speed frequency analysis for the arid and semi-arid regions of Iran, Journal of Arid Environments, 72. 1329-42. https://doi.org/10.1016/j.jaridenv.2007.12.010
Omidvar, K. Omidy, Z. (2013). Analysis of dust phenomenon in the south and center of Fars province. Journal of Geographical Exploration of Natural Areas, 1 (1). 85-114.
Parsasyrat, L., & Jamali, A. A. (2015). The effects of impermeable surfaces on the flooding possibility in Zarrin-Shahr, Isfahan Municipal Watershed. J Appl Environ Biol Sci, 5(1), 28-38.
Pourhashemi, S. Brughni, M. Zanganeh Asadi, M. Amira Ahmadi, A. (2016). Analysis of the Relationship between Vegetation on the Occurrence of Dust in Khorasan Razavi Province Using Geographic Information System and Remote Sensing, Journal of Remote Sensing and Geographic Information System in Natural Resources 4 (6). 33-45.
Prospero JM, Ginoux P, Torres O, Nicholson SE, Gill TE. (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). 2-1-2-31. https://doi.org/10.1029/2000RG000095
Sokolik, I. N., Shiklomanov, A. I., Xi, X., de Beurs, K. M., & Tatarskii, V. V. (2020). Quantifying the anthropogenic signature in drylands of Central Asia and its impact on water scarcity and dust emissions. In Landscape Dynamics of Drylands across Greater Central Asia: People, Societies and Ecosystems, Springer, Cham. 49-69. https://doi.org/10.1007/978-3-030-30742-4_4
Tan M, Li X, Xin L. (2014). Intensity of dust storms in China from 1980 to 2007. A new definition. Atmospheric Environment, 85. 215-222. https://doi.org/10.1016/j.atmosenv.2013.12.010
