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ارزیابی خطر زمینلغزش با استفاده از مدلهای ال.ان.آر.اف و دبلیو.آی.ان.اف در حوزهی آبخیز خارستان، استان فارس | ||
| پژوهش های آبخیزداری | ||
| مقاله 3، دوره 31، شماره 1 - شماره پیاپی 118، فروردین 1397، صفحه 23-36 اصل مقاله (974.38 K) | ||
| نوع مقاله: پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22092/wmej.2018.116960.1066 | ||
| نویسندگان | ||
| معصومه زارع* 1؛ محمد شعبانی2؛ سید مسعود سلیمان پور3؛ امین رستمی راوری2 | ||
| 1کارشناسارشد منابع طبیعی- آبخیزداری ادارهی کل منابع طبیعی و آبخیزداری استان فارس | ||
| 2استادیار دانشگاه آزاد اسلامی واحد مرودشت | ||
| 3استادیار پژوهشی بخش تحقیقات حفاظت خاک و آبخیزداری، مرکز تحقیقات و آموزش کشاورزی و منابع طبیعی استان فارس، سازمان تحقیقات، آموزش و ترویج کشاورزی، شیراز، ایران | ||
| چکیده | ||
| زمین لغزش یکی از مهمترین عوامل فرسایش خاک و از جمله بلایای طبیعی است که هرساله زیانهای مالی و جانی فراوانی را بههمراه دارد. از این رو شناسایی این پدیده، عوامل مؤثر در وقوع زمین لغزش، و تعیین مناطق حساس برای کاهش زیانهای ناشی از آن ضروری است. هدف از این مطالعه ارزیابی خطر زمین لغزش در حوزهی آبخیز خارستان اقلید فارس است. ابتدا نقشهی هر یک عوامل مؤثر بر وقوع زمین لغزش شامل شیب، جهت، ارتفاع، بارش، فاصله از گسل، فاصله از جاده، فاصله از آبراه، زمینشناسی و نقشهی پراکنش زمین لغزش منطقه تهیه شد. برای تعیین نرخ هر یک از عوامل مؤثر در وقوع لغزش، لایه های اصلی و نقشهی پراکنش زمین لغزش ادغام، و سپس با استفاده از مدلهای ال.ان.آر.اف و دبلیو.آی.ان.اف محاسبه شد. سپس، با همپوشانی لایه های مختلف، نقشهی پهنه بندی خطر زمین لغزش تهیه شد. درنهایت، برای انتخاب مدل برتر، از سه شاخص، شاخص زمین لغزش، نسبت تراکم و مجموع کیفیت استفاده شد. نتایج نشان داد که 17/59 و 79/63 % از حوزه به ترتیب در پهنهی خطر زیاد و خیلی زیاد قرار دارند. مقدار مجموع کیفیت در مدل ال.ان.آر.اف 4/52 % است، که براساس آن میتوان نتیجهگیری کرد که عملکرد مدل ال.ان.آر.اف برای پهنه بندی خطر زمین لغزش در حوزهی آبخیز خارستان اقلید بهتر است. | ||
| کلیدواژهها | ||
| استان فارس؛ ال.ان.آر.اف؛ حوزهی آبخیز خارستان؛ دبلیو.آی.ان.اف؛ زمینلغزش | ||
| عنوان مقاله [English] | ||
| Landslide Risk Assessment Using LNRF and WPINF Models in Kharestan Watershed, Fars Province | ||
| نویسندگان [English] | ||
| Masoomeh Zare1؛ Mohammad Shabani2؛ Seyed Masoud Soleimanpour3؛ Amin Rostami Ravari2 | ||
| 1Watershed Management Expert, Fars, Natural Resources and Watershed Management Head of Office | ||
| 2Assistant Professor, Islamic Azad University, Marvdasht, Iran | ||
| 3Assistant Professor, Soil Conservation and Watershed Management Research Department, Fars Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Shiraz, Iran | ||
| چکیده [English] | ||
| Landslide is one of the most important factors of soil erosion, and is a natural disaster that makes numerous financial and life damages each year. Therefore, identifying this phenomenon, effective agents in landslide occurrence, and determination of susceptible areas is necessary for reducing damages of this phenomenon. The aim of this study is to evaluate landslide hazards in the Kharestan Watershed, Fars Province. Firstly, maps of the main factors affecting landslide occurrence including slope, direction, height, rainfall, distance from fault, distance from the road, distance from the waterway, land use, lithology and landslide were prepared. Each basic layer and landslide map was integrated to compute the rate of each parameter using LNRF and WINF models. Then, with overlapping different data layers, landslide hazard zonation maps were prepared. Finally, three indices including Landslide index (Li), Density ratio (Dr), and Quality summation (Qs) were used in order to choose the premier model. Results showed that in the LNRF model 17.59 and 79.63% of watershed were located in high and very high zone of risk map respectively. The quantity of Qs in the LNRF model is 4.52%. Based on these results it can be concluded that LNRF model shows a better performance for landslide hazard zonation. | ||
| کلیدواژهها [English] | ||
| Fars province, Kharestan watershed, Landslide, LNRF, WINF | ||
| مراجع | ||
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Ahmadi H, Esmaili A, Feiznia M, Shariat Jafari M. 2003. Landslid hazard zonation by multivariate regression and AHP method in Garmichai Basin. Iranian Natural Resources Journal. 56(4):323–336. (In Persian). Akbari M, Mashayekhan A. 2012. The comparison of conceptual model LNRF and WLC in zoning landslide risk (Case study: AkhlandBasin, Chenaran, Khorasan, Iran). Watershed Engineering and Sciences Journal. 6(18):1–11. (In Persian). Chandel V, Karbara K, ChauhanY. 2011. RS and GIS landslide hazard zonation of mountainous terrains, A study from middle himalayan kullu district, himachal ardadesh, india. International journal of Geometrics and Geosciences. 2(1):121–132. Fanyu liu Z. 2007. Study on landslide suscebility mapping based GIS and with bivariate statistics a Case study in Longnon Area Highway. 212 Science paper online. Farhadinejad T, Ghayomian J. 2003. Landslide hazard zonation in the region of the Nojyan in the statistical model, Proceedings of the Sixth International Conference on Civil Engineering in Isfahan. (In Persian). Feiznia S, Kalarestaghi A, Ahmadi H. 2004. Investigation of affective factor in landslide occurrence and landslide hazard zonation (Case study: Tajan watershed). Iranian Natural Resources Journal. 57(1):3–20. (In Persian). Gee MD. 1992. Classification of landslides hazard zonation methods and a test of predictive capability. In Bell Davi H.(eds.). Proceedings 6th International Symposium on Landslide. 48–56 pp. Ghahramani N, Khashei A, Dakhili A. 2012. AHP, LNRF and FAHP hierarchical analysis methods for landslide risk alignment (Case study: Alang Darre Watershed), Remote Sensing and GIS Iran. 4(1): 65–80. (In Persian). Gupta RP, Joshi BC. 1990. Landslide hazard zoning using the GIS approach-A case study from the Ramganga catchment. Himalayas Engineering Geology. 28(1): 119–131. Haghshenas A. 1995. The zoning of landslide hazard and its relation with sediment production in Taleghan Area, dissertation of the master's degree in geology, engineering. University of Tarbiat Modarres, Faculty of Engineering. 183 pp. (In Persian). Ilanlou M, Ebrahimi L. 2016. The zoning of the risk of occurrence of mass movements using information value method, surface density, LNRF in Zohreh Watershed, Knowledge of Risks. 3(2): 141–153. (In Persian). Kornejady A, Heidary K. 2014. Performance assessment of the LNRF and AHP -Area Density models in landslide susceptibility zonation. Journal of Life Science and Biomedicine. 4(3): 169–176. Landslide of Iran. 2011. Scientific journal of the Organization of Forests of Pastures and Watershed of the Country. 48 pp. (In Persian). Marzbani M, Shirzadi H, Fathi M. 2016. Landslide hazard zoning using information value model in geographic information system (GIS) case study (Dareh Shahr watershed-Simakan). The First International Conference on Natural Hazards and Environmental Crises. Strategies and Challenges. (In Persian). Mohamadi Torkashvand A, Irani A, Sorur J. 2014. Landslide map by landslide numerical risk factor (LNRF) model and geographyic information system.The Egyptian jornal of Remonte Sensing and Space Sciences. 17(2): 159–170. Moradi H, Mohammadi M, Pour Ghasemi H. 2012. Mass movements with emphasis on quantitative models of landslide occurrence analysis, Samt Publishing. 224 pp. (In Persian). Mortazavi Chamchali M, Haghnazar Sh. 2009. Evaluation of the risk of skidding movements and engineering geology of the Dolatabad Village in the North East of Roodbar. Quarterly Journal of Land and Resources. 2(1): 87–103. (In Persian). Mosafaee J, Onegh M, Shariat Jaffar IM. 2009. Comparison of the efficiency of the experimental and statistical method of landslide ranger zoning (Case study of Alamoot Roud Watershed), Journal of Water and Soil Conservation Studies. 6(4): 43–61. (In Persian). Naderi F, Naseri B, karimi H, Hbibi Bibalani Gh. 2010. Efficency evaluation of different land slide suscepitibility mapping methods (Case study: Zangvan watershed, Ilam Province). First International Conference of Soil and Roots Engineering Relationship (LANDCON1005), Ardebil Province, Iran. Naderi F, Karimi H. 2011. Evaluation of the efficiency of two information value methods and LNRF in landslide risk density distribution in the Iyam Talkhab Watershed, Watershed Management Researches. 24(3):95–103. (In Persian). Niyazi Y, Ekhtesasi M, Talebi A, Arkhi S, Mokhtari M. 2010. Evaluating the effectiveness of bivariate statistical method in predicting landslide hazard (Case study: Iylam Watershed), Watershed Science and Engineering Iran. 4(10): 9–20. (In Persian). Pour Hashemi S, Amir Ahmadi A, Akbari A. 2014. Selection of a suitable method for bivariate statistical methods for zoning of landslide hazard in the GIS (Case study: Baghiee Watershed), Geographical Studies of Arid Zones. 4(15):71–89. (In Persian). Pournader M. 1387. Zoning the mass movements and studying the factors affecting its occurrence (Case study: Ilam Watershed), Thesis Master's degree in Natural Resources Engineering and Watershed Management, Islamic Azad University, Science and Research Branch of Tehran, Faculty of Agriculture and Natural Resources. 131 pp. (In Persian). Pradhan B, 2006. Estimation of stress and its use in evaluation of landslide proneregions using remote sensing data.T Advances in Space Research. 37(4): 698–709. Ranjbar M, Memar Eftekhari M. 2012. The zoning of the slipping phenomenon using the LNRF method on the road of Haraz (from Imamzadeh Hashem to Larijan), Journal of the Iranian Geographic Society. 10(33):107–128. (In Persian). Saber Chenari K, Salmani H, Mohammadi M. 2015. Evaluation of landslide risk using LNRF, information values, Echo-Hydrology. 2(1): 105–116. (In Persian). Sefidgari R. 2002. Evaluation of landslide hazard zonation methods in 1/50000 scale (Case study: Damavand Watershed). M.Sc.Thesis, Tehran University. 1159 pp. (In Persian). Shadfar S, Yamani M, Ghodosi J, Ghaiomian J. 2007. Landslide hazard zonation by AHP method in Tonekabon Basin. Research and Development Journal. 20(2):53–65. (In Persian). Shadfar M, Yamani M, Namaki M. 2011. Zoning landslide hazard by information value method (IVM), density area (DA) and Landslide Numerical Risk factor (LNRF) model in Chalkrood. Watershed Management and Engineering. 3(1):40–47. (In persian). Shahbazi M, Mohammadifar A. 2012. Investigating the possibility of increasing the accuracy of landslide zonation through schematic units of work, Proceedings of the 8th National Conference on Watershed Management Sciences and Engineering. Lorestan University. (In Persian). Solimanpour M. 2013. Principles and principles of mass movements. Leaflet of the Master's Degree in Natural Resources Engineering-Watershed Management of the Islamic Azad University, Arsanjan Branch, Faculty of Agriculture and Natural Resources. 261pp. (In Persian). Sori S. 2013. Landslide hazard zonation using a hierarchical analysis process method (Case study: Kesh area), Journal of Applied Geology. 9(2):101–110. (In Persian). Van Westen CJ. 2000. The modelling of landslide hazards using GIS, Surveys in Geophysics. 21(2–3): 241–255. Watershed Management Department of Jihad –e-Agriculture Organization 2009 Detailed Studies Kharestan Eghlid Basin Report. Final Report. 753 pp. (In Persian). | ||
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