ارزیابی ریسک فرسایش خاک براساس مدل کورین (مطالعۀ موردی: منطقۀ نیمه‌بیابانی غرب استان گلستان)

نویسندگان

1 دانشگاه فردوسی مشهد

2 دانشگاه علوم کشاورزی و منابع طبیعی گرگان

3 دانشگاه تهران

چکیده

فرسایش خاک یکی از مهم‌ترین شاخص‌های‌ تخریب زمین بوده که با ارزیابی فرایند آن، امکان بررسی طیف گسترده‌ای از تغییرات فراهم می‌شود. تحقیق حاضر با هدف بررسی ریسک فرسایش خاک در منطقۀ نیمه‌بیابانی غرب استان گلستان و با مدل CORINE‌ که روشی مناسب برای ارزیابی فرسایش خاک است، انجام شد. در این تحقیق، از نقشه‌های‌ خاک‌شناسی، زمین‌شناسی، داده‌های هواشناسی، شیب‌، پوشش‌سطحی و بازدید میدانی استفاده شد. صحت نقشه‌ها با شاخص‌ کای اسکوئر و آزمون من-وینتی صورت گرفت. در ابتدا، نقشۀ فرسایش‌پذیری براساس پارامترهای فیزیکی خاک و فرسایندگی با استفاده از شاخص‌های‌ رطوبتی فورنیه و خشکی بگنولد-گوسن به‌دست آمد. سپس با ترکیب نقشه‌ها، با شیب و پوشش‌سطحی در محیط GIS، نقشۀ ریسک پتانسیل و واقعی فرسایش خاک تهیه شد. نتایج تحقیق نشان داد از نظر پتانسیل ریسک، 23 درصد منطقه با پتانسیل کم، 54 درصد متوسط و در حدود 7 درصد دارای ریسک فرسایشی زیاد است و از نظر ریسک واقعی 54 درصد ریسک کم، 25 درصد ریسک متوسط و 2 درصد نیز دارای ریسک زیاد است. تفاوت مساحت کلاس‌های ریسک، در سطح 1 درصد معنی‌دار بوده و از نظر صحت‌سنجی، انطباق زیادی با واقعیت‌های زمینی داشته‌اند. این تحقیق کارایی مدل کورین و GIS را در ارزیابی ریسک فرسایش خاک نشان داد.

کلیدواژه‌ها


عنوان مقاله [English]

Soil Erosion Risk Assessment Using the CORINE Model (Case Study: Semi-Arid Region in Golestan Province)

نویسندگان [English]

  • Morteza Akbari 1
  • Majid Ownegh 2
  • hamidreza Asgari 2
  • Amir sadoddin 2
  • Hasan Khosravi 3
1
2
3
چکیده [English]

Soil erosion is considered as one of the most significant indices of land degradation, which once evaluated, a wide gamut of changes in the environment could be evaluated. The aim of this study was to evaluate the risk of soil erosion by the application of the CORINE model, as a suitable means of soil erosion assessment, in the semi-arid western areas of Golestan province. In this study, soil, geology, climate, land cover and slope data were used, accompanied by extensive field reconnaissance. Maps accuracies were determined based on the Chi Square index and Mann-Whitney test. Firstly, soil Erodibility map was prepared from soil physical parameters and Erosivity factor (calculated based on the Fournier moisture index and Bagnouls-Gaussian aridity index). Then by superimposing layers with slope and land cover maps in the GIS environment, soil erosion risk map (potential and actual) was prepared. Results propose that, in view of the potential risk, 23 percent of the region is marked with low potential, 54% with moderate, and 7% with high erosion risk.  Also, from the viewpoint of actual erosion risk, 54% of the area is devoted to low risk, 25% with moderate and 2% corresponds with high risk. The differences in the area of risk maps, at 1 % level were significant and In terms of accuracy, maps have great compatibility with ground realities. This study emphasizes on the capabilities of the CORINE model and the GIS technique in the evaluation of soil erosion.

کلیدواژه‌ها [English]

  • CORINE model
  • Fournier and Bagnouls-Gaussian indices
  • GIS
  • Golestan province
  • Risk
1. Ammann, w., 2016. Early warning in Disaster risk reduction- Needs and potential. 7thinternational conference on integrated natural disaster management- INDM, 15-16 Feb., Tehran-IRAN. 2. Arami, A.H., Ownegh, M., Sheikh, V.B., 2013. Assessment of desertification risk in semi-arid Agh-Band Region, Golestan Province, Iran, Int. J. Agri. Crop Sci., 5(17): 1901-1908. 3. Bashir, S., Baig, M. A., Ashraf, M., Anwar, M. M., Bhalli, M. N., Munawar, S., 2013. Risk assessment of soil erosion in RAWAL Watershed using geoinformatics techniques, Sci. Int (Lahore), 25(3), 583-588. 4. Bosco, C., de Rigo, D., Dewitte, O., Poesen, J., Panagos, P., 2015. Modeling soil erosion at European scale: towards harmonization and reproducibility. Nat. Hazards Earth Syst. Sci., 15, 225–245. 5. Coxhead, I., Øygard, R., 2008. Land Degradation. University of Wisconsin-Madison and Norwegian University of Life Sciences, respectively. Authorship is equally shared. 6. Denguz, O., Akgul, S., 2004. Soil Erosion Risk Assessment of the Golbasi Environmental Protection Area and Its Vicinity Using the CORINE Model, Turk. J. Agric, 29, 439-448. 7. Douan, O., zel, M. E., Yõldõrõm, H., akar, N .K. K., 2000. Erosion risk mapping of Dalaman Basin located in west Mediterranean Region using CORINE method. Proceedings of International Symposium on Desertification. Konya-Turkey, p 5. 8. EEA/UNEP., 2000. Down to earth: Soil degradation and sustainable development in Europe. A challenge for the 21st century. Environmental issues Series No 6. EEA, Copenhagen. 9. European Environment Agency., 2011. Corine Land Cover 2006 raster data, available at: http://www.eea.europa.eu/data-and-maps/data/corine-land-cover-2006-raster-1. 10. Farajzadeh, M., Servati, M. R., Taheri, V., 2011. Analysis and mapping of the geomorphological hazards in Golestan Province, 4(11), 45-62. 11. Giordano, A., 2002. The CORINE project on soil erosion risk and land quality, land use, land cover and soil sciences, 3, 1-9. 12. Honardoust, F., Ownegh, M., Sheikh, V.B., 2011. Assessment of the current state of desertification in the Soufikam-Mengal plain in the northwest of Golestan Province. Soil Water Conserv. Res., 18(3): 213-219 13. Kosmas, C., N. Tsara, N. Moustakas and C. Karavitis, 2003. Identification of indicators for desertification. Ann. Arid Zone, 42: 393-416. 14. LAL, R., 2008. Land Degradation and Pedological Processes in a Changing Climate. Carbon Management and Sequestration Center, the Ohio State University, Columbus, OH 43210. Keywords: Soil degradation, Soil quality, Global warming, Food security, Desertification 15. Messner, F., Mayer, V., 2005. Flood damage, vulnerability and risk perception challenges for flood damage research. UFZ, Leipzig, p 26. 16. Morgan, R. P. C., 2005. Soil Erosion and Conservation, 3rd Edn. Blackwell Publ., Oxford. 17. Nachtergaele, f.o.2004. Land Degradation Assessment Indicators and the LADA project, Land and Water development Division, FAO, Italy. 18. Nkonya, E., Gerber, N., Braun, J.V., De Pinto, A., 2011. Economics of Land Degradation. The Co The boundaries and names shown and the designations used on the maps herein do not imply official endorsement or acceptance by the International Food .Policy Research Institute (IFPRI) or its partners and contributors. 19. Ownegh, M., 2009. Assessing land degradation hazard intensity and management plans using subjective models and the analytical hierarchy process in Gorgan, Iran. International Journal of Sustainable Development and Planning, 4 (1), 35-45. 20. Quinton, J. N., Govers, G., Van Oost, K., Bardgett, R. D., 2010. The impact of agricultural soil erosion on biogeochemical cycling, Nat. Geosci., 3, 311–314. 21. Rohani, M. R., Rangavar, A., Javadi, M. R., ziyaee, A., 2013. A new mathematical model for estimation of soil erosion, Intl. Res. J. Appl. Basic. Sci, 5 (4), 491-497. 22. Rubio, L., Bochet, E., 1998. Desertification indicators as diagnosis criteria for desertification risk assessment in Europe. Journal of Arid Environments. 39, 113–120. 23. Rubio, L., Recatala, L., 2005. The relevance and consequences of Mediterranean desertification including security aspects, Desertification in the Mediterranean Region. A Security Issue, NATO Security through Science Series, 3, 133-165. 24. Sabeti, Sh., 2007. Wind erosion mechanism assessment and its effect on the risk of desertification in the northern Aq-Qala plains. Golestan Province, MSc Dissertation. Aridzone Management, Gorgan University of Agricultural Sciences and Natural Resources, Iran. p 174. 25. Silakhori, I.., Ownegh, M.., Sadoddin, A., 2014. Assessment of desertification risk in Sabzevar Using MICD, Crisis Manage. Res. J., 91, 89-99. 26. Stocking, M., Murnaghan, N., 2000. Land Degradation Guidelines for Field Assessment. Overseas Development Group University of East Anglia. Norwich, UK. 27. Telles, T. S., Guimarães, M., Dechen, S. C., 2011. The costs of soil erosion, Rev. Bras. Cienc. Solo. 35, 287–298. 28. Topographic analysis report, 2013. The land use plan studies in Golestan Province, p. 42 29. Ustun, B., 2008. Soil erosion modeling by using & remote sensing: A case study, Ganos Mountain, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 42(3), 1681-1684. 30. Zhu, M., 2012. Soil erosion risk assessment with CORINE model: case study in the Danjiangkou Reservoir region, China, Stochastic Environmental Research and Risk Assessment, 26 (6), 813-822.