تعداد نشریات | 161 |
تعداد شمارهها | 6,477 |
تعداد مقالات | 70,014 |
تعداد مشاهده مقاله | 122,924,307 |
تعداد دریافت فایل اصل مقاله | 96,136,724 |
تحلیل فرا رتبهای مراتع مستعد تخریب حوزۀ آبخیز نوشان استان آذربایجان غربی | ||
نشریه علمی - پژوهشی مرتع و آبخیزداری | ||
مقاله 8، دوره 71، شماره 2، شهریور 1397، صفحه 393-404 اصل مقاله (1.5 M) | ||
نوع مقاله: مقاله پژوهشی | ||
شناسه دیجیتال (DOI): 10.22059/jrwm.2018.238910.1154 | ||
نویسندگان | ||
مهشید سوری* 1؛ مینا غایب2؛ جواد معتمدی3 | ||
1استادیار پژوهشی، بخش تحقیقات مرتع، موسسه تحقیقات جنگلها و مراتع کشور، سازمان تحقیقات، آموزش و ترویج کشاورزی، تهران، ایران | ||
2دانش آموخته کارشناسی ارشدمرتعداری، دانشکده منابع طبیعی، دانشگاه ارومیه، ایران | ||
3دانشیار پژوهشی، بخش تحقیقات مرتع، موسسه تحقیقات جنگلها و مراتع کشور، سازمان تحقیقات، آموزش و ترویج کشاورزی، تهران، ایران | ||
چکیده | ||
عملیات اصلاحی برای جلوگیری از تخریب مرتع زمانی کارآمد است که مناطق مستعد تخریب شناسایی و اقدامات اصلاحی در این مناطق متمرکز گردد. انجام پژوهش حاضر، برای شناسایی و شناخت وضعیت مناطق مستعد تخریب مراتع به کمک روشهای فرارتبهای به منظور مدیریت صحیح مراتع در حوزۀ آبخیز نوشان استان آذربایجان غربی انجام گرفت. برای اولویت بندی مراتع مستعد تخریب از تکنیک تصمیمگیری چند معیارۀ فرارتبهای PROMETHEE II استفاده شد. در این تحقیق، برای تعیین مراتع مستعد تخریب از معیارهای متعددی شامل بارش، درصد شیب، فرسایش، رسوب، رواناب، دبی، تولید، وضعیت مرتع، تیپ گیاهی، گروههای هیدرولوژیکی خاک، واحدهای اراضی، اسیدیتۀ خاک، هدایت الکتریکی خاک، کربن آلی، بافت خاک، کاربری اراضی، تراکم جمعیت و وجود روستا استفاده گردید. وزندهی معیارها به کمک روش آنتروپی شانون انجام گرفت. بالاترین وزن معیار مربوط به معیار تراکم جمعیت با وزن 1624/0 و کمترین وزن مربوط به معیار اسیدیتۀ خاک با وزن 0002/0 است. سپس با توجه به وزن و مقدار هر معیار برای هر تیپ گیاهی، دادههای مربوط به تیپهای گیاهی با استفاده از تکنیک PROMETHEE II تحلیل شدند. کلاس تخریبپذیری مرتع بر اساس تکنیک PROMETHEEII و بر اساس روش خوشهبندی K-means در سه کلاس تخریب مرتع زیاد، متوسط و کم تعیین شد. | ||
کلیدواژهها | ||
تخریب مراتع؛ روش فرارتبه ای؛ PROMETHEE II؛ اولویت بندی؛ حوضه آبخیز نوشان | ||
عنوان مقاله [English] | ||
Out Ranking Analysis of Susceptible Range land to Degradation in Noshan Watershed, West Azerbaijan Province), Iran | ||
نویسندگان [English] | ||
mahshid souri1؛ mina gayeb2؛ Javad Motamedi3 | ||
1Assistant 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. | ||
3Associated Professor, Rangeland Research Division, Research Institute of Forests and Rangelands, Agricultural Research, Education and Extension Organization (AREEO), Tehran, Iran. | ||
چکیده [English] | ||
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. | ||
کلیدواژهها [English] | ||
Susceptible Rangeland, Degradation, out ranking technique, PROMETHEE II, Nushan | ||
مراجع | ||
[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. | ||
آمار تعداد مشاهده مقاله: 348 تعداد دریافت فایل اصل مقاله: 297 |