Wind erosion estimation and assessment using Bayesian belief networks in eastern Isfahan township

Authors

10.22052/6.14.45

Abstract

Soil erosion by wind is a widespread problem in the arid lands of Iran. This research estimated and assessed the severity of wind erosion in Segzi desertification hotspot located in the eastern part of Isfahan township, focusing on criteria used in the IRIRF (Iranian Research Institute of Forest and Rangelands) model. Bayesian belief networks (BBNs) were also used to convert the IRIFR model to a predictive cause-and-effect model. The severity of wind erosion was calculated using the nine indicators of the IRIFR model on 17 geomorphological faces. The results indicated that three geomorphological faces located in the southern and central parts of the region had high potential for wind erosion. According to the results of the IRIFR model, 24%, 16%, 15% and 45% of the study area were classified as low, moderate, high and very high severity of wind erosion, respectively. Using the IRIFR indicators and conditional probability tables of these indicators, a BBN model was developed and its accuracy was assessed by sensitivity analysis and scenario analysis. Sensitivity analysis for both models showed that wind speed and condition, spatial extent and type of aeolian deposits and erosion features of the soil surface were the most important indicators responsible for wind erosion in the study area. The determination coefficient between the outputs of the IRIFR and BBN models (R2 > 0.80) indicated that the results of both models were significantly correlated (α = 5%). These results indicate that the application of the BBN model for wind erosion assessment can appropriately accommodate the uncertainty of the IRIFR model and help managers to make better decisions for upcoming land management projects.

Keywords


1. Ahmadi, H., 1995. Applied Geomorphology, Volume 2, Tehran University Press. 2. Ahmadi, H,. Ekhtsasi, M. R. Golkaryan,. A.S., Abrisham A,. 2006, Mapping and Assessment of Desertification Using MEDALUS Model at Fakhr abad Mehrize Yazd, Journal of College of Natural Resources. Vol. 59, No. 3, pp. 532-519. 3. Amerykhah, H., Khadem, A., Maszi, A. 2007. predict Wind erosion in Omidiye land useing models WEPS, RWEQ, WEQ and IRIFR. First National Conference Wind Erosion. Yazd. 4. Adriaenssens, V, Goethals, P, L, M, .Charles, J, AND De pauw N, 2009. "Application of Bayesian Belief network for the prediction of macro invertebrate taxa in rivers "Annales de limnologie – International journal of limnology,Vol. 40, No. 3, pp.181-191. 5. Akhtsasi, M. R., 2010. suitable plants to Sand Dune and sandy fixation Areas in Iran. Second edition, Yazd University Press, 230 p. 6. Aalders, I. Hough. R.L. Tower. W. 2011. Risk of erosion in peat soils –an investigation using Bayesian belief networks. Soil Use and Management, December 2011, 27,538–549. 7. Baran, E. and Jantunen. 2004. Stakeholders consultation for Bayesian Decision Systems in environmental management. Proceeding of the Regional Conference on Ecological and Environmental Modeling (ECOMOD 2004). UniversitiSains Malaysia. 8.Bakhshandhmahr, L., 2008. Quantitative analysis of desertification plain Segzi. Master's thesis, College of Natural Resources, Isfahan University of Technology. 9. Bashari, H., Smith, C., Bosch, O. J. H. 2009. Developing decision support tools for range land management By combining state and transition Models and Bayesian Belief Networks. Agricultural Systems, 99: 23-34. 10. Chamanpyra, Gh., Zhetabyan, Gh., Ahmadi, H. 2006. Application of the method ICD in order to determine the severity of current status desertification in the watershed Kouhdasht. Journal of College of Natural Resources,Tehran University. Vol. 59, No. 3, pp. 543-555. 11. Fzouni, L., 2007. Assessment the current status of desertification using MEDALUS model in the Sistan Plain with emphasis on criteria water and wind erosion. Master Thesis, College of Natural Resources, Zabol University. 12. Hamby, D. M. 1994. A review of techniques for parameter sensitivity analysis of environmental models. Environmental Monitoring and Assessment, 32 (2): 135- 154. 13. Johnson, S.; Mengersen, K.; Waal, A.; Marnewick, K.; Cilliers, D.; Houser, A. M. & Boast, L.2010. Modelling cheetah relocation success in southern Africa using an Iterative Bayesian Network Development Cycle. Ecological Modelling, 221(1-4): 641- 651. 14. Khanmani, AS., Karimzadh, H., Jafari, R. 2011. The use of soil criteria for assessment desertification (Case Study: Isfahan Segsi Plain). Journal of Science and Technology of Agriculture and Natural Resources, Soil and Water Sciences, Seventeenth Year, Number 63. 15. Landuyt D., Broeckx S., Dhondt R., Engelen G., Aertsens J., Peter. and Goethals L. M. 2013. "A review of Bayesian belief networks in ecosystem service modelling." Environmental Modelling & Software, Vol 46, pp1-11. 16. Marcot, B. G.; Holthausen, R. S.; Raphael, M. G.; Rowland, M. M. & Wisdom, M. J.2001 . Using Bayesian Belief Networks to evaluate fish and wildlife population viability under land management alternatives from an environmental impact statement. Forest Ecology and Management, 153(1- 3): 29- 42. 17. Marcot,B. G: Steventon, J. D: Sutherland, G.D.&McCan, R. K.2006.Guidelines for developing and updating Baysian belief networks applied to ecological modeling and conservation. Canadian Journal of forest Research, 36(12): 3063-3054. 18. Masbahzadh T., Ahmadi, H,. Zhtabyan, Gh., Sarmadian F. 2010. assessment the Wind erosion utilizes a model IRIFR .E.A (Case study: Abuzeyd abad Kashan). Journal of Natural Resources Iranian, Journal of Range and Watershed Management, Number 3, Fall 2010, pages 399 to 415. 19. Mahmod Abadi, M.,Dahani, F., Azimzadh, H. 2011. Study the effects of wind erosion intensity distribution of soil particles. Journal of Soil Management and stable Production, Volume I, No I, 2011. 20. Pollino, C., Woodberry, O., Nicholso, A., Korb, K., Hart, BT., 2007. "Parameterisation and evaluation of a Bayesian network for use in an ecological risk assessment" Environmental Modelling & Software, Vol. 22, No. 8, pp.1140-1152. 21. Tahmasebi, A, M., Ahmadi, H,. Refahi, H,. Ekhtsasi, M. R,. 2000. Comparison of potential deposition water and wind erosion using models MPSIAC and IRIFR In the Iranian desert areas. Iranian Journal of Natural Resources, College of Natural Resources, Tehran University, Vol. 53, No. 1, pp. 65-53. 22. Varis O. 1997. Bayesian decision analysis for environmental and resource management. Environmental Modelling and Software 12:177–185. 23. Yang, H. Abbaspour, KC. Zhang, Y.L. 2002. "Desertification control and sandstorm mitigation in the area encircling Beijing - with a discussion on the application of Bayesian Network and hydrological modeling" 12th ISCO Conference Beijing