Investigating Flood-Induced Dust Generation: A GEE Analysis with OLI & Sentinel-1 Data (Anar-Rafsanjan Flood case study)

Document Type : Research Paper

Author

Department of Geography- Shahid Bahonar University of Kerman- Kerman - Iran

Abstract

Today, the increasing occurrence of dust storms is one of the most important environmental hazards that plague many areas, especially desert and dry areas. One of the important factors in the occurrence of this phenomenon is the type of soil and the presence of fine-grained sediments as a source of dust, considering that the flood phenomenon plays an important role in the movement of soils and their deposition in flooded areas. This study attempts to analyze the role of seasonal floods in creating new sources of dust by investigating and analyzing this issue. In this regard, the OLI and Sentinel 1 sensor images were used. Analyses were performed using the GEE system environment, ENVI, and SNAP software. By applying the spectral thresholding method on Sentinel 1 images related to the flood of August 5, 1401, in Rafsanjan-Anar cities, the flooded areas were determined. By processing the OLI images, the clay sediments deposited as a result of the flood were highlighted. Drawing the graph of monthly average AOD during 10 years shows the increasing trend of dust masses, as well as examining this graph and comparing the map of dust masses with the map of sedimented areas as a result of the April 5 flood in the study area. It is a confirmation of the role of the mentioned flood in creating new and local sources in the studied area.

Keywords

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References

Aragnou, E., SeanWatt, H., Nguyen, D., Cassandra, C., Matthew, R., Leys, J., White, S., Salter, D., Merched, A., Tzu-Chi, L. Morgan, G., Hannigan, I (2021). Dust transport from Inland Australia and is impact on air quality and health on the eastern coast of Australia during the February 2019 dust storm. Atmosphere 12(2), 141.
https://doi.org/10.3390/atmos12020141
Boloorani, A.D., Shorabeh, S.N., Samany, N.N., Mousivand, A., Kazemi, Y., Jaafarzadeh, N., Zahedi, A., Rabiei, J (2021). Vulnerability mapping and risk analysis of sand and dust storms in Ahvaz, IRAN. Environ. Pollut., 279, 116859.
https://doi.org/10.1016/j.envpol.2021.116859
Cheki Forak, M., Doostan, R., Minaei, M (2023). Identification of Dust Centers in Birjand City. Geography and Territorial Spatial Arrangement, 13(46), 61-84.  
doi: 10.22111/gaij.2023.42530.3034
Chakraborty, S., Guan, B., Waliser, D. E., da Silva, A. M., Uluatam, S., Hess, P (2021). Extending the atmospheric river concept to aerosols: Climate and air quality impacts. Geophysical Research Letters, 48(9), e2020GL091827.
https://doi.org/10.1029/2020gl091827
Congalton, R.G (1991). A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing of Environment. 37: 35-46.
https://doi.org/10.1016/0034-4257(91)90048-B
Dezfuli, A., Bosilovich, M. G., Barahona, D (2021). A dusty atmospheric river brings floods to the Middle East. Geophysical Research Letters, 48, e2021GL095441.
https://doi. org/10.1029/2021GL095441
Filonchyk, M (2021). Characteristics of the severe March 2021 Gobi Desert dust storm and its impact on air pollution in China. Chemosphere, 287, 13-27.
https://doi.org/10.1016/j.chemosphere.2021.132219
Jafari, M., Zehtabian, G., Ahmadi, H., Mesbahzadeh, T., Norouzi, A. A (2020). Detecting and routing of dust event using remote sensing and numerical modeling in Isfahan Province. Environmental Sciences, 18(1), 105-116.  
doi: 10.29252/envs.18.1.105
Jahantigh, M., Jahantigh, M., Iranmanesh, F (2023). Identification of Storms and Centers of Dust Production in Southeast of Iran (Case Study: Sistan Region). E.E.R. 13(3), 67-92.  
doi:20.1001.1.22517812.1402.13.3.4.0
He, M., Xiao, J., Shi, Y., Wu, Y (2021). Spatio-temporal distribution characteristics of aerosol optical depth in Guandong, Hong Kong and Macao from 2010 to 2019. J. Trop. Meteorol., 37, 647–655.
https://doi.org/10.13227/j.hjkx.201908197
Karami, S., Nasim, H., Dimitris Kaskaoutis, D., Alireza Rashki, A., Khan Alam, K., and Abbas Ranjbar, A (2021). Numerical simulations of dust storms originated from dried lakes in central and southwest Asia: The case of Aral Sea and Sistan Basin. Aeolian Research, 50, 100679.
https://doi.org/10.1016/j.aeolia.2021.100679
Kunkelova, T., Crocker, A. J., Wilson, P. A., Schepanski, K (2024). Dust source activation frequency in the Horn of Africa. Journal of Geophysical Research: Atmospheres, 129, e2023JD039694.
https://doi.org/10.1029/2023JD039694
Kim, H., Chung, Y., Kim, J (2013). Spatio-temporal variations of optical properties of aerosols in East Asia measured by MODIS and relation to the ground-based mass concentrations observed in central Korea during 20012010. Asia-Pac. J. Atmos. Sci., 50, 191–200.
https://doi.org/10.1007/s13143-014-0007-8
Liang, T., Liang, S., Zou, L., Sun, L., Li, B., Lin, H., He, T., Tian, F (2022) Estimation of Aerosol Optical Depth at 30 m Resolution Using Landsat Imagery and Machine Learning. Remote Sensing, 14(5), 1053.
https://doi.org/10.3390/rs14051053
Liu, J., Freudenberger, D., Lim, S (2022). Mapping burned areas and land-uses in Kangaroo Island using an object-based image classification framework and Landsat 8 Imagery from Google Earth Engine. Geomat Nat Hazards Risk, 13(1), 1867–1897.
https://doi.org/10.1080/19475705.2022.2098066
Luo, J., Huang, F., Gao, S., Liu, S., Liu, R., Devasthale, A (2021). Satellite Monitoring of the Dust Storm over Northern China on 15 March 2021. Atmosphere 2022, 13, 157.
https://doi.org/10.3390/atmos13020157.
Merdji, A.B., Xu, X., Lu, C., Habtemicheal, B.A., Li, J (2022). Accuracy assessment and climatology of MODIS aerosol optical properties over North Africa. Environ. Sci. Pollut. Res., 30, 13449–13468.
https://doi.org/10.1007/s11356-022-22997-8
Munoz, D.F., Munoz, P., Moftakhari, H., Moradkhani, H (2021). From local to regional compound flood mapping with deep learning and data fusion techniques. Sci. Total Environ., 782, 146927.
https://doi.org/10.1016/j.scitotenv.2021.146927
Opp, C., Groll, M., Abbasi, H., Ahmadi Foroushani, M (2022). Causes and Effects of Sand and Dust Storms: What Has Past Research Taught Us? A Survey. Journal of Risk and Financial Management, 14: 326.
https://doi.org/10.3390/jrfm14070326.
Otsu, N (1979). A threshold selection method from gray-level histograms. IEEE Trans. Syst., Man, Cybernet., 9 (1), 62–66.
https://doi.org/10.1109/TSMC.1979.4310076
Shayesteh, K., Gharibi, S (2022). Application of GEE in Dust Actual Sources Detection using Sentinel- 5 and Modis. Journal of Natural Environmental Hazards, 11(34), 1-16.
doi: 10.22111/jneh.2022.38729.1813
Voss, K. K., Evan, A. T., Prather, K. A., Ralph, F. M (2020). Dusty atmospheric rivers: Characteristics and origins. Journal of Climate, 33(22), 9749-9762.
https://doi.org/10.1175/jcli-d-20-0059.1.
Wei, X., Chang, N.B., Bai, K., Gao,W (2020). Satellite remote sensing of aerosol optical depth: Advances, challenges, and perspectives. Crit. Rev. Environ. Sci. Technol., 50, 1640–1725.
https://doi.org/10.1080/10643389.2019.1665944
Yuan, J., Wang, X., Feng, Z., Zhang, Y., Yu, M (2023). Spatiotemporal Variations of Aerosol Optical Depth and the Spatial Heterogeneity Relationship of Potential Factors Based on the Multi-Scale GeographicallyWeighted Regression Model in Chinese National-Level Urban Agglomerations. Remote Sens., 15, 4613.
https://doi.org/ 10.3390/rs15184613
Yarmoradi, Z., Nasiri, B., Karampour, M., Mohammadi, G. H (2022). Trend analysis of dusty days frequency in Eastern parts of Iran associated with Climate Fluctuations. Desert Ecosystem Engineering, 7(18), 1-14.
doi: 10.22052/deej.2018.7.18.1
Zheng, Y., Wang, X., Zhang, X., Hu, G., Liang, X., Niu, L., Han, H (2021). Spatiotemporal distribution of aerosol optical depth based on Landsat data in the hinterland of the Guanzhong Basin and its relationship with urbanization. Environ. Sci. 2021, 42, 2699–2712.
https://doi.org/10.13227/j.hjkx.202010018
 
 
 
 
 
 

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History

  • Receive Date: 20 January 2024
  • Revise Date: 30 May 2024
  • Accept Date: 08 June 2024

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