ارزیابی حساسیت خاک‌های دوره کوارترنری با شاخص‌های NDVI و رطوبت خاک در ارتباط با تغییرات آب و هوایی به روش ناپارامتریک

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی دکتری مدیریت محیط زیست، دانشکده محیط زیست، دانشگاه آزاد اسلامی، واحد علوم و تحقیقات، تهران، ایران

2 دانش آموخته کارشناسی ارشد مخاطرات آب و هوای (اقلیم شناسی)، دانشگاه گلستان، ایران.

3 دانش آموخته کارشناسی ارشد دانشگاه تربیت مدرس، دانشکده منابع طبیعی و محیط زیست، نور

10.30488/ccr.2022.337104.1073

چکیده

آگاهی از تأثیر خاک‌ها بر پویایی منابع آبی، جهت ارتقاء مدیریت در مقابل تنش‌ها اهمیت فوق‌العاده‌ای دارد؛ در سال‌های اخیر نگرانی‌ها از تغییر اقلیم توجه به حفظ بستر خاکی و تنظیم شیوه فعالیت‌های که کمترین آسیب را داشته باشند موردتوجه قرار گرفته است؛ لذا در تحقیق اخیر باهدف کمی‌سازی حساسیت مکانی-زمانی خاک در دوران کوارترنری بر اثر نوسانات شاخص پوشش گیاهی و منابع آبی به اهمیت موضوع خاک‌ها و پهنه‌بندی پاسخ اکولوژیک در مقابل تغییرات پرداخت، در این رابطه با استفاده از روش سری‌های زمانی من کندال (ناپارامتریک) به مطالعه تغییرات پوشش گیاهی و آبی روی خاک‌های کوارترنی در مقایسه با سایر خاک ها در کشور ایران پرداخته شد. در مطالعه از داده‌های مودیس و مدل MERA ورژن2 در دوره 2018 تا 2021 به مدت 36 ماه استفاده گردید. نتایج مطالعه نشان داد؛ متوسط حجم آب ذخیره شده در خاک های ایران 345 میلی‌لیتر در مترمربع است. بر طبق نتایج ذخایر آب در مناطق کوارترنری با اقلیم فوق‌العاده مرطوب 20% و مناطق نیمه مرطوب 18% و همچنین مناطق مدیترانه‌ای 8%- مناطق شبه خشک 12%+ ، مناطق خشک 21%+ و مناطق بیابانی با 25%+ نسبت به اقلیم مشابه خود تغییر در حجم دارند. همچنین سواحل دریاچه ارومیه و استان خوزستان اثر نوع خاک بر پوشش و منابع آبی دارای حساسیت بالا و مساحت 650 هزار هکتار را در بر دارد. در دشت گلستان 22 هزار هکتار در تهدید وجود دارد و حساسیت بالا از خود نشان می‌دهد. نتایج اخیر نشان‌دهنده حساسیت و شکنندگی بالای مناطق خاک کوارترنی در مقابل تغییرات اقلیمی است، لذا برنامه‌ریزی و مطالعه آمایش کشور با توجه به پتانسیل های خاک اهمیت فوق العاده دارد.

کلیدواژه‌ها


عنوان مقاله [English]

Evaluation of Quaternary Soil Sensitivity with NDVI Indices and Soil Moisture in Relation to Nonparametric Climate Change

نویسندگان [English]

  • farzam farooghi 1
  • zohre ebrahimi 2
  • milad rahime 3
1 PhD Student in Environmental Management, Faculty of Environment, Islamic Azad University, Science and Research Branch, Tehran, Iran
2 Graduate of Climate Risk (Climatology), Golestan University, Iran.
3 Tarbiat Modares University, Faculty of Natural Resources and Environment;
چکیده [English]

Awareness of the effect of soils on the dynamics of water resources is extremely important to improve management in the face of stress; In recent years, concerns about climate change have led to concerns about preserving the soil bed and regulating activities that are least harmful; Therefore, in a recent study aimed at quantifying the spatio-temporal sensitivity of soil during the Quaternary period due to fluctuations in vegetation index and water resources to the importance of soils and zoning of ecological response to changes, in this regard using the Kendall (nonparametric) time series method. Vegetation and irrigation changes on Quaternary soils compared to other soils in Iran were studied. In the study, Modis data and MERA version 2 model in the period 2018 to 2021 were used for 36 months. The results of the study showed; The average volume of water stored in Iranian soils is 345 ml / m2. According to the results of water reserves in Quaternary regions with extremely humid climate 20% and semi-humid regions 18% and also Mediterranean regions 8% - semi-arid regions + 12%, arid regions + 21% and desert regions with + 25% relative to the same climate They themselves have a change in volume. Also, the shores of Lake Urmia and Khuzestan province have the effect of soil type on cover and water resources with high sensitivity and an area of 650,000 hectares. There are 22,000 hectares in Golestan plain under threat and it shows high sensitivity. Recent results indicate the high sensitivity and fragility of Quaternary soil areas in the face of climate change, so planning and studying the country's planning with respect to soil potentials is extremely important.

کلیدواژه‌ها [English]

  • Vegetation index
  • water storage
  • water cycle
  • soil protection
  • Menkendal time series
  1. Adhami, M., and Sadeghi, S.H. (2016). Sub-watershed prioritization based on sediment yield using game theory. Journal of Hydrology, 541, 977–987. doi: 10.1016/j.jhydrol.2016.08.008
  2. Alem, H., Esmaeilzadeh Soudejani, A., and Fallahi, M. (2021). Estimate the amount of ground water recharge in hard formations, case study: Mashhad, Iran. Applied Water Science, 11(1).
  3. Atashgahi, Z., Ejtehadi, H., and Zare, H. (2009). Study of floristics, life form and chorology of plants in the east of Dodangeh forests, Mazandaran province, Iran. In Iranian Journal of Biology (Vol. 22, Issue 2, pp. 193–203).
  4. Basayigit, L., and Senol, S. (2008). Comparison of soil maps with different scales and details belonging to the same area. Soil and Water Research, 3(1), 31–39.
  5. Basupi, L.V., Quinn, C.H., and Dougill, A. J. (2019). Adaptation strategies to environmental and policy change in semi-arid pastoral landscapes: Evidence from Ngamiland, Botswana. Journal of Arid Environments, February 2018, 1–11.
  6. Costantini, E., Geológicas, and D.D.-R.M. de C., (2004). Clay minerals and the development of Quaternary soils in central Italy. Redalyc.Org, 21(1), 144–159. Retrieved from
  7. Eastman, J.R. (1983). Case Study | Environmental Modeling Analyzing Motion with Trend Surface Analysis Analyzing Motion with Trend Surface Analysis. 4–7.
  8. Filyushkina, A., Strange, N., Löf, M., Ezebilo, E.E., and Boman, M. (2018). Applying the Delphi method to assess impacts of forest management on biodiversity and habitat preservation. Forest Ecology and Management, 409(July 2017), 179–189.
  9. Fischer, E., Bock, M., and Gerold, G. (2008). Nturient in-and output fluxes of an agroforested sub-catchment of the hana at the border of Taï national park, Côte D’Ivoire. Contributions to Physical Geography and Landscape Ecology - Hamburg, 49–58.
  10. Garrido-Sanz, D., Manzano, J., Martín, M., Redondo-Nieto, M., and Rivilla, R. (2018). Metagenomic analysis of a biphenyl-degrading soil bacterial consortium reveals the metabolic roles of specific populations. Frontiers in Microbiology, 9(FEB).
  11. Guillén, M. T., Delgado, J., Gómez-Arias, A., Nieto-Liñán, J.M., and Castillo, J. (2021). Bioaccessibility and human exposure to metals in urban soils (Huelva, SW Spain): evaluation by in vitro gastric extraction. Environmental Geochemistry and Health.
  12. Houghton, R.A. (2003). Revised estimates of the annual net flux of carbon to the atmosphere from changes in land use and land management 1850–2000. Tellus B: Chemical and Physical Meteorology, 55(2), 378–390.
  13. Jackson, J. L., Dezee, K., Douglas, K., and Shimeall, W. (2005). Introduction to structural equation modeling (path analysis). Precourse PA08. Society of General Internal Medicine (SGIM), Washington, DC Available from
  14. Kallali, H., Anane, M., Jellali, S., and Tarhouni, J. (2007). GIS-based multi-criteria analysis for potential wastewater aquifer recharge sites. 215(June 2006), 111–119.
  15. Maheshwari, B., and Geotechnical, R. S.-I. J.(2012). Effects of soil nonlinearity and liquefaction on seismic response of pile groups. Taylor & Francis, 6(4), 497–506. doi: 10.3328/IJGE.2012.06.04.497-506
  16. Naqi, N.M., Al-Jiboori, M.H., and Al-Madhhachi, A.-S. T. (2021). Statistical analysis of extreme weather events in the Diyala River basin, Iraq. Journal of Water and Climate Change, 00(0), 1–16.
  17. Pavlickova, K., and Vyskupova, M. (2015). A method proposal for cumulative environmental impact assessment based on the landscape vulnerability evaluation. Environmental Impact Assessment Review, 50, 74–84.
  18. Pere, D., Seekell, D. A., Carpenter, S.R., Pace, M.L., Hodgson, J.R., and Kitchell, J. F. (2014). Early warnings of regime shifts : evaluation of spatial indicators from a whole-ecosystem experiment. 5(August), 1–13.
  19. Potter, N. J., Zhang, L., D Milly, P.C., McMahon, T.A., and Jakeman, A. J. (2005). Effects of rainfall seasonality and soil moisture capacity on mean annual water balance for Australian catchments. Wiley Online Library, 41(6), 6007.
  20. Ricci, G.F., Romano, G., Leronni, V., and Gentile, F. (2019). Effect of check dams on riparian vegetation cover: A multiscale approach based on field measurements and satellite images for Leaf Area Index assessment. Science of the Total Environment, 657, 827–838.
  21. Rolke, R., Magerl, W., Andrews Campbell, K., Schalber, C., Caspari, S., Birklein, F., and Treede, R.-D. (2005). New reconstruction of Krapina 5, a male Neandertal cranial vault from Krapina, Croatia. Wiley Online Library, 10(1), 77.
  22. Saha, M.C., and Butler, T.J. (2016). Grassland. Encyclopedia of Applied Plant Sciences, 3, 180–185.
  23. Semenov, M.A., and Stratonovitch, P. (2015). Adapting wheat ideotypes for climate change: Accounting for uncertainties in CMIP5 climate projections. Climate Research, 65, 123–139.
  24. Shaw, E. (2004). Marketing in the social enterprise context: Is it entrepreneurial? Qualitative Market Research: An International Journal, 7(3), 194–205.
  25. Smith, S. (2012). Throughfall , stemflow , and rainfall interception in a natural pure forest of chestnut-leaved oak ( Quercus castaneifolia C.A. Mey.) in the Caspian Forest of Iran. 55(2),
  26. Srivastava, S.K. (2007). Green supply-chain management: A state-of-the-art literature review. International Journal of Management Reviews, 9(1), 53–80. Wan, H., Wang, X.L., and Swail, V.R. (2010). Homogenization and trend analysis of Canadian near-surface wind speeds. Journal of Climate, 23(5), 1209–1225.
  27. Zhou, Y. G., Chen, J., Chen, Y. M., Kutter, B. L., Zheng, B. L., Wilson, D. W., Stringer, M. E., and Clukey, E.C. (2017). Centrifuge modeling and numerical analysis on seismic site response of deep offshore clay deposits. Engineering Geology, 227, 54–68.