Out Ranking Analysis of Susceptible Range land to Degradation in Noshan Watershed, West Azerbaijan Province), Iran

Document Type : Research Paper


1 Assistant Professor, Rangeland Research Division, Research Institute of Forests and Rangelands, Agricultural Research, Education and Extension Organization (AREEO), Tehran, Iran.

2 , M.Sc. Graduate of Range Management, Faculty of Natural Resources, University of Urmia, Iran.

3 Associated Professor, Rangeland Research Division, Research Institute of Forests and Rangelands, Agricultural Research, Education and Extension Organization (AREEO), Tehran, Iran.


Rangelands, using a variety of renewable natural resources are as well as economic value, in terms of effects on soil and water conservation that are very important. This study was conducted in Nushan West Azerbaijan province. Determining the susceptible areas of rangeland to degradation done by out ranking technique PROMETHEE II was used. In this study, to determine the rangeland susceptible to degradation used numerous effective criteria such as precipitation, slope, erosion, sediment, runoff, discharge, production, pasture conditions, pH, conductivity, organic carbon, soil, land use, population density and the presence of villages in the catchment area of 7439 hectares was used. Weight criteria were determined using the Shannon entropy. Due to the weight and value of criteria for each vegetation type, analyzed data for each of them using PROMETHEE II. Finally, the rangeland degradation areas were divided in 3 category including; high, moderate and low classes by using K-means method.


[1] Akhlagi shal, S.J., Ansari, N. and Yousef kalafi, S. (2012). Evaluation of social and economic factors affecting the degradation of natural resources Ardebil. Journal of range and desert research, 19 (1): 133-148.
[2] Anagnostopoulos, K.P., Petalas, C. and Pisinaras, V. (2005). Water Resources Planning Using the AHP and PROMETHEE Multicriteria Methods: The case of NESTOS river–greece, the 7th Balkan Conference on Operational Research ìBACOR 05î Constanta, Romania, 1-12.
[3] Arzani, H., Azarnivand, H., Mehrabi, A.A., Nikkhah, a. and Fazel dehkordi, L. (2005). The minimum area required ranch ranchers Semnan province. Journal of Research and development in natural resources, No. 74, 7 p.
[4] Arzani, H. (1997). Evaluation Initiative Directions different climatic zones of pastures, forests and rangelands Research Institute, 67 pages.
[5] Athawale, V.M. and Chakraborty, S. (2010). Facility Location Selection Using PROMETHEE II Method, Proceedings of the International Conference on Industrial Engineering and Operations Management, 9(10): 1-5.
[6] Bakhshi, M.r., Panahi, R., Mullaii, Z., Kazemi, S.h. and Muhammad, D. (2011). Assessment of innovation in South-West Asia, the status of Iran. Application of Decision Prometheus. Journal of Science and Technology Policy, 3 (3): 32-19.
[7] Banias, G. (2010). Assessing multiple criteria for the optimal location of a construction and demolition waste management facility. Journal of Building and Environment, 45:2317-2326.
[8] Chou, T.Y., Lin, W.T., Lin, C.Y., Chou, W.C. and Huang, P.H. (2004). Application of the PROMETHEE technique to determine depression outlet location and flow direction in DEM. Journal of Hydrology volume, 287: 49-61.
[9] Ebrahimpur, M. (2001). Human factors affecting the degradation of forests and meadows with an emphasis on Zagros, Jihad, 19: 233-232.
[10] Han, A.J.G., Zhange, Y. J., Wang, B C. J., W. M., BaiC. Y. R. Wang D, and Han, B. (2008). Rangeland degradation and restoration management in China. The Rangeland Journal, 30: 233-239.
[11] Hubert, G. (2004). Land degradation assessment in Drylands. Land and Water Development Devision, FAO.
[12] Huang, P. and Tsai, W. (2010). Using multiple-criteria decision-making techniques for ecoenvironmental vulnerability assessment: a case study on the Chi-Jia-Wan Stream watershed, Taiwan. Journal of Environment Monitoring Assess, 168: 141–158.
[13] IFAD (International Fund for Agricultural Development). (2007). Combinating range degradation: the experience of IFAD, 29: 25-33.
[14] Jafari, M. and Sarmadian, F. (2003). Principles of soil and soil classification. Tehran University Press.
[15] Jafari, M. and Nqylv, M. (2011). Investigating the interaction of indicator species Savojbolagh range of physical and chemical properties of soil using multivariate analysis. Journal of Range and Watershed Management, 2 (68): 170-162.
[16] Jia, B. R., Zhou, G.S., Wang, Y. H., Yang, W. P., Zhou, L. (2005). Partitioning root and microbial contributions to soil respiration in Leymus chinensis population. Journal of Soil Biology and Biochemistry 38:653-660.
[17] Jamali, A., Godosy, J. And Farahpour, M. (2007). determine the appropriate ranges for biological control of soil erosion by use of spatial decision support systems. Journal of Iranian range and derert research, 2 (14): 270-261.
[18] Kafash Charandabi, N., Al-Sheikh, A.a. and Karimi, M. (2013). Modelling malaria-related vulnerability through GIS and out ranking methods. Journal of Applied Research of Geographic Sciences, 28 (13): 70-49.
[19] Khosrowbeygi, R., Anabestani, A., Taghiloo, A. and Shams al-Din, R. (2011). Stable level of rural development with the use of multi-criteria decision CP Contingency Planning (Case Study: Villages city Komijan). Journal of Human Geography, 3 (2): 45-34.
[20] Manuchehri, E., bashari, H., basiri, M. and saidfar, M. (2012). Evaluating the effectiveness of six methods for determining the situation in semi-steppe rangelands of Central Zagros region. Journal of rangeland, 4: 344-355.
[21] Maragoudaki, R. and Tsakiris, G. (2005). Flood Mitigation Planning Using PROMETHEE. Athens, 5-10.
[22] Mesdagi, M. (2003). Pasture and rangeland in Iran. Astan Quds Press, 320 p.
[23] Qi, Y., Wen, F., Wang, K., Li, L. and Singh, S.N. (2010). A fuzzy comprehensive evaluation and entropy weight decision-making based method for power network structure assessment. International Journal of Engineering, Science and Technology, 2(5):92-99.
[24] Rahmaty, M., Arab Khedri, M., Jafar Khdany, A. and Khalkhali, A. (2004). The effect of grazing and water loss and soil on the slope. Journal of Research and development in natural resources, 62 -83.
[25] Rashtian, A. and Karimiyan. A. (2011). Evaluation and comparison of experts and operators to implement grazing systems in range management plans Semnan province. Journal of rangeland, 5 (1): 118-109.
[26] Siyah Mansour, R., Jafary, M. and Khademi, K. (2001). Investigate the relationship between vegetation and precipitation, soil loss. Journal of research and development, (1) 49: 14-45.
[27] Soukoty Oskoee, R. (1996). MPSIAC calibration method for quantitative estimation of sediment in the sub-basin of West Azerbaijan. Journal of Research Projects, page 140.
[28] Talebporasl, D. And Khezri. S. (2011). Investigate the relationship between land use and slope Tvlydrsvb in South Zyrhvz·h‌Hay Mahabad River. Range and Watershed Management Journal, 63 (3): 32-25.
[29] Valmohamady, Ch. and Negin, F. (2010). Organizational performance evaluation by using BSC. Journal of Management Research, 7018): 87-72.
[30] Wang, T.C. and Lee, H.D. (2009). Developing a fuzzy TOPSIS approach based on subjective weights and objective weights. Journal of Expert Systems with Applications, 36(3):8980–8985.
[31] Wu, J., Sun, J., Liang, L. and Zha, Y. (2011). Determination of weights for ultimate cross efficiency using Shannon entropy. Journal of Expert Systems with Applications, 38: 5162–5165.
[32] Wu, J.Z. and Zhang, Q.  (2011). Multicriteria decision making method based on intuitionistic fuzzy weighted entropy". Journal of Expert Systems with Applications, 38(4): 916–922.
[33] Zhang, H., Gu, C.L., Gu, L.W. and Zhang, Y. (2010). "The evaluation of tourism destination competitiveness by TOPSIS and information entropy, A case in the Yangtze River Delta of China". Journal of Tourism Management, 32(2): 443-451.
[34] Zhao, X., Qi, Q. and Li, R. (2010). The establishment and application of fuzzy comprehensive model with weight based on entropy technology for air quality assessment, Symposium on Security Detection and Information Processing, 7(1):217–222.
[35] Zhi-hong. Z, Y. Yi, S. Jing-nan. (2006). Entropy method for determination of weight of evaluating in fuzzy synthetic evaluation for water quality assessment. Journal of environ mental science, Vol. 18 No. 5:1020-1023.
Volume 71, Issue 2
September 2018
Pages 393-404
  • Receive Date: 31 July 2017
  • Revise Date: 07 September 2018
  • Accept Date: 02 June 2018
  • First Publish Date: 23 August 2018