ارزیابی خطر فرسایش بادی دشت ابرکوه با بهره‌گیری از تصاویر ماهواره‌ای لندست

نوع مقاله : مقاله پژوهشی

نویسندگان

1 پژوهشگر پسادکتری، دانشکده منابع‌طبیعی و کویرشناسی، دانشگاه یزد، یزد ایران.

2 استادیار، دانشکده منابع‌طبیعی و کویرشناسی، دانشگاه یزد، یزد، ایران.

چکیده

فرسایش بادی از مخاطره های طبیعی در مناطق خشک و نیمه خشک است که با فرآیند کنده شدن و جابجایی ذرات خاک توسط باد همراه است. شاخص خطر فرسایش بادی (WEHI) چهارچوبی از مدل‌سازی فرسایش بادی است که با در نظر گرفتن مجموعه‌ای از آستانه‌های سطحی، اقلیمی و با بهره‌گیری از سیستم اطلاعات جغرافیایی، حساسیت زمین نسبت به فرسایش بادی را تعیین می­کند. هدف از پژوهش حاضر، ارزیابی خطر فرسایش بادی رخساره‌های زیستی-ژئومورفولوژی متنوع دشت ابرکوه واقع در استان یزد با بهره‌گیری از مدل خطر فرسایش بادی WEHI در سال‌های 1382 تا 1396 است. در اجرای مدل، از سه مولفه فراوانی بادهای فرساینده، درصد اراضی بدون پوشش و رطوبت سطحی خاک استفاده شد و نقشه خطر فرسایش بادی در سه طبقه کم، متوسط و شدید تولید شد. به‌منظور ارزیابی کارآیی مدل، از داده‌های عمق نوری هواویزها بهره گرفته شد و دقت و معنی‌داری  مدل تأیید گردید (0.01= α). نتایج نشان داد که 107369 هکتار بر سطح اراضی با خطر فرسایش بادی شدید افزوده شده است. فرسایش بادی در منطقۀ مورد مطالعه به‌ویژه در رخساره‌های زیستی – ژئومرفولوژی دریاچۀ نمکی کویر و اراضی شور در حال گسترش است.  در اراضی کشاورزی و دارای پوشش گیاهی تقریباً متراکم، خطر فرسایش بادی کم است. این موضوع می‌تواند اراضی بالادست منطقه را نسبت به مخاطرة حاصل از توفان‌های نمکی با پیامدهای زیستی، اقتصادی و اجتماعی مواجه سازد.

کلیدواژه‌ها


  1. Afrasiab, P., & Delbari, M. (2013). Assessing the risk of soil vulnerability to wind erosion through conditional simulation of soil water content in Sistan plain, Iran. Environmental Earth Sciences, 70(6), 2895-2905.
  2. Al-Bakri, J. T., Brown, L., Gedalof, Z. E., Berg, A., Nickling, W., Khresat, S., Salahat, M., & Saoub, H. (2016). Modelling desertification risk in the north-west of Jordan using geospatial and remote sensing techniques. Geomatics, Natural Hazards and Risk, 7(2), 531-549.
  3. Alpert, P., Kaufman, Y. J., Shay-El, Y., Tanre, D., Da Silva, A., Schubert, S., & Joseph, J. H. (1998). Quantification of dust-forced heating of the lower troposphere. Nature, 395(6700), 367-370.
  4. Bagnold, R. A. (1943). The physics of blown sand and desert dunes. New York: William Morrow and Co.
  5. Boali, A., & Mohammadian Behbahani, A. (2020). Comparative Evaluation of Wind Erosion Intensity Modeling using WEHI and IRIFR Models for Presentation of Segazi Plain Management in Isfahan. Water and Soil Conservation, 27(4), 129-147. (in Farsi)
  6. Borrelli, P., Panagos, P., Ballabio, C., Lugato, E., Weynants, M., & Montanarella, L. (2016). Towards a Pan-European Assessment of Land Susceptibility to Wind Erosion. Land Degradation & Development, 27(4), 1093-1105.
  7. Cha, S.Y., & Park, C. H. (2007). The utilization of Google Earth images as reference data for the multitemporal land cover classification with MODIS data of North Korea. Korean Journal of Remote Sensing, 23(5), 483-491.
  8. Chen, L., Zhao, H., Wang, W., Bai, Z., Wang, Z., Sun, F., Hou, L., Liu, G., Shi, M., & Miao, Y. (2017). Effect of windblown dust from local and regional sources on the air quality of the central district in Jinan, China. Atmospheric Research, 185, 44-52.
  9. Chepil, W. S. (1945). Dynamics of wind erosion: i. Nature of movement of soil by wind. Soil Science, 60(4), 305-320.
  10. Chepil, W. S., & Woodruff, N. P. (1963). The Physics of Wind Erosion and its Control, Contribution from Soil and Water Conservation Research Division, Agricultural Research Service, USDA, with Kansas Agricultural Experiment Station cooperating. Department of Agronomy Contribution No. 795. In A. G. Norman (Ed.), Advances in Agronomy (Vol. 15, pp. 211-302): Academic Press.
  11. Doetterl, S., Berhe, A. A., Nadeu, E., Wang, Z., Sommer, M., & Fiener, P. (2016). Erosion, deposition and soil carbon: A review of process-level controls, experimental tools and models to address C cycling in dynamic landscapes. Earth-Science Reviews, 154, 102-122.
  12. Du, H., Xue, X., Wang, T., & Deng, X. (2015). Assessment of wind-erosion risk in the watershed of the Ningxia-Inner Mongolia Reach of the Yellow River, northern China. Aeolian Research, 17, 193-204.
  13. Effati, M., Bahrami, H.-A., Gohardoust, M., Babaeian, E., & Tuller, M. (2019). Application of Satellite Remote Sensing for Estimation of Dust Emission Probability in the Urmia Lake Basin in Iran. Soil Science Society of America Journal, 83(4), 993-1002.
  14. Ensafi Moghaddam, T. (2021). Investigation of Aerosol Optical Depth Index (AOD) in dust events over Southwestern of Iran. Iran Nature, 5(6), 55-67. (in Farsi)
  15. Fenta, A. A., Tsunekawa, A., Haregeweyn, N., Poesen, J., Tsubo, M., Borrelli, P., Panagos, P., Vanmaercke, M., Broeckx, J., Yasuda, H., Kawai, T., & Kurosaki, Y. (2020). Land susceptibility to water and wind erosion risks in the East Africa region. Science of The Total Environment, 703, 135016.
  16. Gill, T., Collett, L., Armston, J., Eustace, A., Danaher, T., Scarth, P., Flood, N., & Phinn, S. (2010). Geometric correction and accuracy assessment of Landsat-7 ETM+ and Landsat-5 TM imagery used for vegetation cover monitoring in Queensland, Australia from 1988 to 2007. Spatial Science, 55(2), 273-287.
  17. Han-Qiu, X. (2005). A study on information extraction of water body with the modified normalized difference water index (MNDWI). Remote Sensing, 5, 589-595.
  18. Ilori, C. O., Pahlevan, N., & Knudby, A. (2019). Analyzing performances of different atmospheric correction techniques for Landsat 8: application for coastal remote sensing. Remote Sensing, 11(4), 469.
  19. Jafari, R. & Malekian, M. (2015). Comparison and evaluation of dust detection algorithms using MODIS Aqua/Terra Level 1B data and MODIS/OMI dust products in the Middle East. Remote Sensing, 36(2), 597-617.
  20. Jebali, A., Zare, M., Ekhtesasi, M. , & jafari, r. (2020). Investigating of Change Extent of Horizontal Visibility in Regions Affected by Dust events in Yazd Province. Desert Management, 8(15), 21-3. (in Farsi).
  21. Kazemi, M., Feiznia, S., Khosravi, H., & Mesbah, H. (2019). Investigating of Susceptibility of Maharloo Lake Sediments to Wind Erosion and Determination of Dust Movement Direction. Desert Management, 6(12), 49-60 (in Farsi).
  22. Kiani, T., Ramesht, M. H., Maleki, A., & Safakish, F. (2016). Assessment and review the environmental risks resulting from climatic changes in Abarkooh basin. Geography and Development, 14(43), 19-3 (in Farsi).
  23. 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.
  24. Lal, R. (2003). Soil erosion and the global carbon budget. Environment International, 29(4), 437-450.
  25. Lin, J., Guan, Q., Pan, N., Zhao, R., Yang, L., & Xu, C. (2021). Spatiotemporal variations and driving factors of the potential wind erosion rate in the Hexi region, PR China. Land Degradation & Development, 32(1), 139-157.
  26. Mirmousavi, S. H. (2016). Regional modeling of wind erosion in the North West and South West of Iran. Eurasian Soil Science, 49(8), 942-953.
  27. Mohammadpour, K., Saligheh, M., Darvishi Bloorani, A., & Raziei, T. (2020). Analysis and comparing satellite products and simulated of AOD in west Iran (2000-2018). Spatial Analysis Environmental Hazards, 7(1), 15-32. (in Farsi)
  28. Natarajan, S., & Palaniswami, C. G. (2002). Remote sensing and GIS techniques for land degradation assessment due to water erosion. Paper presented at the 17th World congress of soil science, Bangkok (Thailand).
  29. Nazari Samani, A. A., Ehsani, A. H., Golivari, A., & Abdolshahnejad, M. (2016). Comparing the Results of RWEQ and IRIFR Models for Determining of Land Management Effects on Wind Erosion. Desert Management, 3(6), 39-53. (in Farsi)
  30. Noroozi, A., & Shoaei, Z. (2018). Identifying areas with dust generation potential in the south west of Iran, case study: Khuzestan Province. Watershed Engineering and Management, 10(3), 398-409. (in Farsi)
  31. Pi, H., Huggins, D. R., & Sharratt, B. (2021). Wind erosion of soil influenced by clay amendment in the inland Pacific Northwest, USA. Land Degradation & Development, 32(1), 241-255.
  32. Sharratt, B. S., & Lauer, D. (2006). Particulate matter concentration and air quality affected by windblown dust in the Columbia plateau. Environmental Quality, 35(6), 2011-2016.
  33. Shi, H., Gao, Q., Qi, Y., Liu, J., & Hu, Y. (2010). Wind erosion hazard assessment of the Mongolian Plateau using FCM and GIS techniques. Environmental Earth Sciences, 61(4), 689-697.
  34. Tehrany, M. S., Pradhan, B., & Jebur, M. N. (2014). Flood susceptibility mapping using a novel ensemble weights-of-evidence and support vector machine models in GIS. Hydrology, 512, 332-343.
  35. Teng, Y., Zhan, J., Liu, W., Sun, Y., Agyemang, F. B., Liang, L., & Li, Z. (2021). Spatiotemporal dynamics and drivers of wind erosion on the Qinghai-Tibet Plateau, China. Ecological Indicators, 123, 107340.
  36. Tian, J., & Chen, D. (2010). A semi-empirical model for predicting hourly ground-level fine particulate matter (PM2. 5) concentration in southern Ontario from satellite remote sensing and ground-based meteorological measurements. Remote Sensing of Environment, 114(2), 221-229.
  37. Vicente-Serrano, S. M., Perez-Cabello, F., & Lasanta, T. (2008). Assessment of radiometric correction techniques in analyzing vegetation variability and change using time series of Landsat images. Remote Sensing of Environment, 112(10), 3916-3934.
  38. Wang, W., Samat, A., Ge, Y., Ma, L., Tuheti, A., Zou, S., & Abuduwaili, J. (2020). Quantitative soil wind erosion potential mapping for central Asia using the Google Earth engine platform. Remote Sensing, 12(20), 3430.
  39. Webb, N., McGowan, H., Phinn, S., & McTainsh, G. (2006). AUSLEM (AUStralian Land Erodibility Model): A tool for identifying wind erosion hazard in Australia. Geomorphology, 78, 179-200.
  40. Yang, X., & Leys, J. (2014). Mapping wind erosion hazard in Australia using MODIS-derived ground cover, soil moisture and climate data. Paper presented at the IOP Conf. Series: Earth and Environmental Science.
  41. Zhao, H.-L., Yi, X.-Y., Zhou, R.-L., Zhao, X.-Y., Zhang, T.-H., & Drake, S. (2006). Wind erosion and sand accumulation effects on soil properties in Horqin Sandy Farmland, Inner Mongolia. Catena, 65(1), 71-79.
  42. Zheng, H., Chen, Y., Pan, W., Cai, Y., & Chen, Z. (2019). Impact of land use/land cover changes on the thermal environment in urbanization: A case study of the natural wetlands distribution area in Minjiang River Estuary, China. Polish Journal of Environmental Studies, 28(4), 3025.