پیوندهای مفید
اخبار و اعلانات
آمار
| تعداد نشریات | 162 |
| تعداد شمارهها | 6,697 |
| تعداد مقالات | 72,342 |
| تعداد مشاهده مقاله | 129,633,812 |
| تعداد دریافت فایل اصل مقاله | 102,378,347 |
Examining the Spatial and Temporal Relationships among Aerosol Optical Depth, Soil Moisture, and Wind Speed from 2000 to 2024,(Case Study: Western Iran) | ||
| Desert | ||
| دوره 29، شماره 2، اسفند 2024، صفحه 314-326 اصل مقاله (1.68 M) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22059/jdesert.2024.100917 | ||
| نویسندگان | ||
| Sosan Salajegheh* 1؛ Hamed Eskandari Damaneh2؛ Hadi Eskandari Damaneh3 | ||
| 1Department of Planning – Management and HSE, College of Environment, University of Tehran, Iran. | ||
| 2Department of Reclamation of Arid and Mountainous Regions, Faculty of Natural Resources, University of Tehran, Karaj, Iran. | ||
| 3Researcher of Desert Research Division, Research Institute of Forests and Rangelands, Agricultural Research Education and Extension Organization (AREEO), Tehran, Iran. | ||
| چکیده | ||
| Dust storms create considerable environmental issues in many arid and semi-arid regions such as Iran. Hence, recognizing dust storm patterns is essential for lessening their adverse impacts. This study has utilized Aerosol Optical Depth (AOD) data from a MODIS satellite sensor, along with SW indices and Wind Speed (WS) data sourced from ERA5 reanalysis data. Subsequently, the trends of these indices were examined using the Mann-Kendall test and trend slopes from 2000 to 2024. Then, the correlation between these data was evaluated in research study period. The trend analysis results based on the Z Mann-Kendall test and Sen's slope estimator showed that the dust index AOD generally had an increasing trend in western Iran during this period. Specifically, an area of 65,143.8 km2 exhibited an increasing trend, with 31,243.8 km2 of this area being statistically significant. Most of this area is located in the south and southwest of the study region, which has the lowest soil water and the highest wind speeds. The correlation analysis between the dust index AOD and the two indices of soil water and wind speed showed a negative correlation between AOD and SW index in 78,543.8 km2, of which 38,643.8 km2 were statistically significant. The correlation between the dust index AOD and WS also showed a positive correlation in 61,343.8 km2 of the study area, with 8,343.8 km2 of this being statistically significant. In general, we can conclude that biophysical factors, like soil moisture, and climatic factors, such as wind speed, significantly affect dust levels. Continuous monitoring of these parameters and evaluating their impact on sensitive and fragile ecosystems can help enhance resilience to dust in these regions. | ||
| کلیدواژهها | ||
| Dust؛ Remote Sensing؛ Mann-Kendall؛ Western Iran | ||
| مراجع | ||
|
References
Achakulwisut, P., Shen, L., & Mickley, L. J. (2017). What controls springtime fine dust variability in the western United States? Investigating the 2002–2015 increase in fine dust in the US Southwest. Journal of Geophysical Research: Atmospheres, 122(22), 12-449.
Afzalizadeh, M., Nadoushan, M. A., Jalalian, A., & Chamani, A. (2024). Dust source dynamics in arid Iran: Examining the relationship between MODIS AOD and land surface characteristics in a dried catchment. Advances in Space Research.
Basharat, U., Tariq, S., Chaudhry, M. N., Khan, M., Agyekum, E. B., Mbasso, W. F., & Kamel, S. (2023). RETRACTED: Seasonal correlation of aerosols with soil moisture, evapotranspiration, and vegetation over Pakistan using remote sensing. Heliyon, 9(10).
Brahney, J., Ballantyne, A. P., Sievers, C., & Neff, J. C. (2013). Increasing Ca2+ deposition in the western US: The role of mineral aerosols. Aeolian Research, 10, 77-87.
Chen, W., Meng, H., Song, H., & Zheng, H. (2022). Progress in dust modelling, global dust budgets, and soil organic carbon dynamics. Land, 11(2), 176.
Díaz, J., Linares, C., Carmona, R., Russo, A., Ortiz, C., Salvador, P., & Trigo, R. M. (2017). Saharan dust intrusions in Spain: health impacts and associated synoptic conditions. Environmental research, 156, 455-467.
Du, H., Li, S., Webb, N. P., Zuo, X., & Liu, X. (2021). Soil organic carbon (SOC) enrichment in aeolian sediments and SOC loss by dust emission in the desert steppe, China. Science of the Total Environment, 798, 149189.
Hassan, E. M., Karimkhani, M., & Sepehri, J. (2025). Evaluating and comparison of WRF-chem model configurations for wind field impact on the April 2022 dust episode in western Iran. Atmospheric Environment, 340, 120892.
Eskandari Damaneh, H., Jafari, M., Eskandari Damaneh, H., Behnia, M., Khoorani, A., & Tiefenbacher, J. P. (2021). Testing possible scenario-based responses of vegetation under expected climatic changes in Khuzestan Province. Air, Soil and Water Research, 14, 11786221211013332.
Eskandari Damaneh, H., Zehtabian, G., Khosravi, H., Azarnivan, H., &Barati, A. (2022). Investigating the Influence of Drought on Trend of Vegetation Changes in Arid and Semiarid Regions, Using Remote Sensing Technique: A Case Study of Hormozgan province). Desert Ecosystem Engineering, 9(28), 13-28.
Farmer, A.M. (1993). The effects of dust on vegetation—a review. Environ. Pollut. 79 (1), 63–75
Fatemi, M., & Jebali, A. (2022). Path analysis of the effect of climatic elements on wind speed and desertification progress in Central Iran. Arabian Journal of Geosciences, 15(10), 930.
Foroutan, H., Young, J., Napelenok, S., Ran, L., Appel, K. W., Gilliam, R. C., & Pleim, J. E. (2017). Development and evaluation of a physics‐based windblown dust emission scheme implemented in the C MAQ modeling system. Journal of Advances in Modeling Earth Systems, 9(1), 585-608.
Furman, H. K. H. (2003). Dust storms in the Middle East: sources of origin and their temporal characteristics. Indoor and Built Environment, 12(6), 419-426.
Gui, K., Yao, W., Che, H., An, L., Zheng, Y., Li, L., ... & Zhang, X. (2022). Record-breaking dust loading during two mega dust storm events over northern China in March 2021: Aerosol optical and radiative properties and meteorological drivers. Atmospheric Chemistry and Physics, 22(12), 7905-7932.
Hsu, N. C., Gautam, R., Sayer, A. M., Bettenhausen, C., Li, C., Jeong, M. J., ... & Holben, B. N. (2012). Global and regional trends of aerosol optical depth over land and ocean using SeaWiFS measurements from 1997 to 2010. Atmospheric Chemistry and Physics, 12(17), 8037-8053.
Hsu, N. C., Gautam, R., Sayer, A. M., Bettenhausen, C., Li, C., Jeong, M. J., ... & Holben, B. N. (2012). Global and regional trends of aerosol optical depth over land and ocean using SeaWiFS measurements from 1997 to 2010. Atmospheric Chemistry and Physics, 12(17), 8037-8053.
Ju, T., Li, X., Zhang, H., Cai, X., & Song, Y. (2018). Effects of soil moisture on dust emission from 2011 to 2015 observed over the Horqin Sandy Land area, China. Aeolian research, 32, 14-23.
Kendall M G., Rank Correlation Methods, Oxford Univ, Press New York. 1975
Khosravi, H., Azareh, A., Dameneh, H. E., Sardoii, E. R., & Dameneh, H. E. (2017). Assessing the effects of the climate change on land cover changes in different time periods. Arabian Journal of Geosciences, 10, 1-10.
Khosravi, H., Eskandari Dameneh, H., Eskandari Dameneh, H., Borji, M., & Nakhaee Nejadfard, S. (2018). Drought Trend Assessment in Riverheads of Karkheh and Dez Basins based on Streamflow Drought Index (SDI). Desert Ecosystem Engineering Journal, 1(2), 45-54.
Kim, D., Kim, J., Jeong, J., & Choi, M. (2019). Estimation of health benefits from air quality improvement using the MODIS AOD dataset in Seoul, Korea. Environmental research, 173, 452-461.
Kim, H., & Choi, M. (2015). Impact of soil moisture on dust outbreaks in East Asia: Using satellite and assimilation data. Geophysical Research Letters, 42(8), 2789-2796.
Kim, H., Zohaib, M., Cho, E., Kerr, Y. H., & Choi, M. (2017). Development and assessment of the sand dust prediction model by utilizing microwave‐based satellite soil moisture and reanalysis datasets in East Asian desert areas. Advances in Meteorology, 2017(1), 1917372.
Klingmüller, K., Pozzer, A., Metzger, S., Stenchikov, G. L., & Lelieveld, J. (2016). Aerosol optical depth trend over the Middle East. Atmospheric Chemistry and Physics, 16(8), 5063-5073.
Kok, J. F., Parteli, E. J., Michaels, T. I., & Karam, D. B. (2012). The physics of wind-blown sand and dust. Reports on progress in Physics, 75(10), 106901.
Lee, S., Pinhas, A., & Alexandra, C. A. (2020). Aerosol pattern changes over the dead sea from west to East using high-resolution satellite data. Atmospheric Environment, 243, 117737.
Li, X., Li, Y., Chen, A., Gao, M., Slette, I. J., & Piao, S. (2019). The impact of the 2009/2010 drought on vegetation growth and terrestrial carbon balance in Southwest China. Agricultural and Forest Meteorology, 269, 239-248.
Liu, X., Chen, S., Guo, Z., Zhou, H., Chen, Y., Kang, Y., ... & He, Q. (2021). The influence of dusts on radiation and temperature over the eastern Asia with a regional climate model. Science of the Total Environment, 792, 148351.
Mann, H. B. (1945). Nonparametric tests against trend. Econometrica: Journal of the econometric society, 245-259.
Middleton, N., & Kang, U. (2017). Sand and dust storms: Impact mitigation. Sustainability, 9(6), 1053.
Mohammadpour, K., Sciortino, M., & Kaskaoutis, D. G. (2021). Classification of weather clusters over the Middle East associated with high atmospheric dust-AODs in West Iran. Atmospheric Research, 259, 105682.
Munkhtsetseg, E., Shinoda, M., Gillies, J. A., Kimura, R., King, J., & Nikolich, G. (2016). Relationships between soil moisture and dust emissions in a bare sandy soil of Mongolia. Particuology, 28, 131-137.
Parajuli, S. P., Stenchikov, G. L., Ukhov, A., & Kim, H. (2019). Dust emission modeling using a new high‐resolution dust source function in WRF‐Chem with implications for air quality. Journal of Geophysical Research: Atmospheres, 124(17-18), 10109-10133.
Park, S. S., Kim, J., Lee, J., Lee, S., Kim, J. S., Chang, L. S., & Ou, S. (2014). Combined dust detection algorithm by using MODIS infrared channels over East Asia. Remote sensing of environment, 141, 24-39.
Rupakheti, D., Rupakheti, M., Yin, X., Hofer, J., Rai, M., Hu, Y., ... & Kang, S. (2021). Modifications in aerosol physical, optical and radiative properties during heavy aerosol events over Dushanbe, Central Asia. Geoscience Frontiers, 12(6), 101251.
Schweitzer, M. D., Calzadilla, A. S., Salamo, O., Sharifi, A., Kumar, N., Holt, G., ... & Mirsaeidi, M. (2018). Lung health in era of climate change and dust storms. Environmental research, 163, 36-42.
Song, H., Zhang, K., Piao, S., Liu, L., Wang, Y. P., Chen, Y., ... & Wan, S. (2019). Soil organic carbon and nutrient losses resulted from spring dust emissions in Northern China. Atmospheric Environment, 213, 585-596.
Sun, W., Song, X., Mu, X., Gao, P., Wang, F., & Zhao, G. (2015). Spatiotemporal vegetation cover variations associated with climate change and ecological restoration in the Loess Plateau. Agricultural and Forest Meteorology, 209, 87-99.
Thiagarajan, N., & Lee, C. T. A. (2004). Trace-element evidence for the origin of desert varnish by direct aqueous atmospheric deposition. Earth and Planetary Science Letters, 224(1-2), 131-141.
Thiel, H. (1950, February). A rank-invariant method of linear and polynomial regression analysis, Part 3. In Proceedings of koninalijke nederlandse akademie van weinenschatpen a (Vol. 53, pp. 1397-1412).
Yang, X., Yang, F., Zhou, C., Mamtimin, A., Huo, W., & He, Q. (2020). Improved parameterization for effect of soil moisture on threshold friction velocity for saltation activity based on observations in the Taklimakan Desert. Geoderma, 369, 114322.
Yousefi, R., Wang, F., Ge, Q., Shaheen, A., & Kaskaoutis, D. G. (2023). Analysis of the winter AOD trends over Iran from 2000 to 2020 and associated meteorological effects. Remote Sensing, 15(4), 905.
Yu, Y., Kalashnikova, O. V., Garay, M. J., Lee, H., & Notaro, M. (2018). Identification and characterization of dust source regions across North Africa and the Middle East using MISR satellite observations. Geophysical Research Letters, 45(13), 6690-6701.
Yu, Y., Notaro, M., Liu, Z., Wang, F., Alkolibi, F., Fadda, E., & Bakhrjy, F. (2015). Climatic controls on the interannual to decadal variability in Saudi Arabian dust activity: Toward the development of a seasonal dust prediction model. Journal of Geophysical Research: Atmospheres, 120(5), 1739-1758.
Zarrinabadi, E. (2023). Soil erosion and fluxes of sediment within landscapes of the Canadian Prairies.
Zhang, J., Teng, Z., Huang, N., Guo, L., & Shao, Y. (2016). Surface renewal as a significant mechanism for dust emission. Atmospheric Chemistry and Physics, 16(24), 15517-15528. | ||
|
آمار تعداد مشاهده مقاله: 80 تعداد دریافت فایل اصل مقاله: 82 |
||
سامانه مدیریت نشریات علمی. قدرت گرفته از سیناوب