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اثر معیارهای مکانی بر ایجاد پتانسیل خطر آتش‌سوزی در جنگلهای زاگرس | ||
| تحقیقات جنگل و صنوبر ایران | ||
| مقاله 5، دوره 23، شماره 3، مهر 1394، صفحه 425-438 اصل مقاله (553.79 K) | ||
| نوع مقاله: علمی- پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22092/ijfpr.2015.105649 | ||
| نویسندگان | ||
| سجاد عالی محمودی سراب1؛ جهانگیر فقهی* 2؛ افشین دانه کار3؛ پدرام عطارد2 | ||
| 1دانشجوی دکتری جنگل‌داری، دانشکده منابع طبیعی، دانشگاه علوم کشاورزی و منابع طبیعی گرگان | ||
| 2دانشیار گروه جنگل‌داری و اقتصاد جنگل، دانشکده منابع طبیعی، دانشگاه تهران | ||
| 3دانشیار گروه محیط زیست، دانشکده منابع طبیعی، دانشگاه تهران | ||
| چکیده | ||
| هرساله سطح زیادی از پوشش گیاهی موجود برروی زمین طعمه آتش سوزی میشود. عامل های زیادی در عرصه های مختلف منابع طبیعی منطقه را برای ایجاد و گسترش آتش سوزی ها مستعد می کنند. این عامل ها علاوه بر اینکه ماهیت متفاوتی دارند، میزان تأثیرشان نیز از منطقه ای به منطقه دیگر متفاوت است. پژوهش پیش رو با دو هدف تعیین میزان تأثیر معیارهای مکانی مختلف بر وقوع آتش سوزی و تعیین مناطق دارای پتانسیل خطر آتش‌سوزی با کمک روش تلفیقی فرآیند تحلیل سلسله مراتبی و سیستم اطلاعات جغرافیایی در ناحیه رویشی زاگرس واقع در شمال استان خوزستان انجام شد. پس از آنالیز نقشه های پایه، نقشه های نمایه معیارها ایجاد شدند و مورد ارزیابی قرار گرفتند. تجزیه و تحلیل نقشه های نمایه توپوگرافی، نمایه کاربری، نمایه اقلیمی، نمایه زیستگاههای حساس و نقشه های نمایه پوشش گیاهی (سوخت) نشان داد که به ترتیب 15/55، 59/53، 10/75، 20/6 و 35/7 درصد از سطح کل منطقه مورد مطالعه در محدوده با پتانسیل خطر آتش سوزی خیلی زیاد و خطر زیاد قرار دارد. نتایج تجزیه و تحلیل نقشه پتانسیل خطر آتش سوزی نشان داد که 8/64 درصد از کل منطقه در محدوده خطر آتش سوزی بسیار زیاد قرار دارد. نتایج صحت سنجی نیز نشان داد که 9/6 درصد از مناطق سوخته شده در محدوده با خطر بسیار زیاد و 67/3 درصد در محدوده با خطر زیاد قرار دارند، بنابراین نتایج پژوهش پیش رو نشان می دهد که ترکیبی از فرآیند تحلیل سلسله مراتبی و سیستم اطلاعات جغرافیایی می تواند برای تعیین مناطق دارای پتانسیل آتش سوزی کارآمد باشد. | ||
| کلیدواژه‌ها | ||
| آتش سوزی؛ تحلیل سلسله مراتبی؛ جنگلهای زاگرس؛ سامانه اطلاعات جغرافیایی | ||
| عنوان مقاله [English] | ||
| Spatial indicators effects on the forest fire potential in Zagros region | ||
| نویسندگان [English] | ||
| Sajjad Aleemahmoodi Sarab1؛ Jahangir Feghhi2؛ Afshin Danehkar3؛ Pedram Atarod2 | ||
| 1Ph. D. Student, Faculty of Natural Resources, Gorgan University of Agricultural Sciences and Natural Resources,Gorgan, Iran | ||
| 2Associate Prof., Department of Forestry and Forest Economics, Faculty of Natural Resources, University of Tehran, Karaj, Iran | ||
| 3Associate Prof., Department of Environmental Sciences, Faculty of Natural Resources, University of Tehran, Karaj, Iran | ||
| چکیده [English] | ||
| Forest fires frequently cause disturbances in vegetation cover worldwide. The aim of this study was to 1) assess the effects of spatial indicators on forest fire ignition and 2) to map the susceptibility to forest fires using Analectic Hierarchical Process (AHP) and Geographical Information System (GIS) in a portion of southern Zagros forests in Khuzestan province. Analysis of topography, land use, climate, habitat sensitivity as well as fuel index maps showed that 15.6, 59.5, 10.7, 20.6, and 35.7 percentages of the area is of very high to high potentials for forest fire ignition, respectively. Furthermore, the fire risk map indicated 8.6 % of this region to be very highly prone to wildfire. The results of cross-validation revealed that 9.6 and 67.3 percentages of the previous forest fires occurred in classes featuring very high and high fire vulnerability. In addition, GIS and AHP method were found to offer appropriate and efficient tools for management and mapping of forest fires in the Zagros forests of Iran. | ||
| کلیدواژه‌ها [English] | ||
| forest fire, AHP, Zagros forests, GIS | ||
| مراجع | ||
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- Akpinar, E. and Usul, N., 2003. GIS in forest fires. City and Regional Planner Project Cordinator in INTA SpaceTurk, Turkey, 11p. - Aleemahmoodi Sarab, S. and Feghhi, J., 2011. Review time and cause of fires in forests and pastures in Khuzestan province. The First National Conference on New approaches in Sustainable Management of Natural Resources. Islamic Azad University, Science and Research Branch, Tehran, 6p (In Persian). - Almedia, R., 1994. Forest fire risk areas and definition of the prevention priority planning actions using GIS.Proceedings of the Fifth European Conference and Exhibition on Geographic Information Systems,GIS 94, Utrecht: EGIS Foundation, 2: 1700-1706. - Anonymous, 2001. International forest fire news. No. 33, July- December, pp: 1995-1998. - Anonymous, 2002. Forest fire in Khuzestan province. Administration of Natural Resource at Khuzestan Province, 18p (In Persian). - Anonymous, 2007. Forest fire in Khuzestan province. Administration of Natural Resource at Khuzestan Province, 13p (In Persian). - Anonymous, 2011. Forest fire in Khuzestan province. Administration of Natural Resource at Khuzestan Province, 14p (In Persian). - Azizi, Gh. and Yosefi, H., 2009. Foehn and forest fires burning in the province of Mazandaran and Guilan (fire at 25-30 Dec. 2005). Journal of Geographical Research, 92: 3-28 (In Persian). - Castro, R. and Chuveico, E., 1998. Modeling forest fire danger from geographic information systems.Geocarto International, 13(1): 15-23. - Chavan, M.E., Das, K.K. and Suryawanshi, R.S., 2012. Forest fire risk zonation using remote sensing and GIS. International Journal of Basic and Applied Research, l(2): 6-12. - Chuvieco, E. and Congalton, R.G., 1989. Application of remote sensing and geographic information system to forest fire hazard mapping. Remote Sensing of Environment, 29(2): 147-159. - Chuvieco, E. and Sales, J., 1996. Mapping the spatial distribution of forest fire danger using GIS. International Journal of Geographical Information Systems, 10:333-345. - Dong, X., Li-min, D., Gue- fan, Sh., Lei, T. and Hui, W., 2005. Forest fire risk zone mapping from satellite images and GIS for Baihe Forestry Bureau, Jilin, China. Journal of Forestry Research, 16(3):169-174. - Eshaghi, M., 2014. Efficiency investigation of non-parametric algorithms in improvement of forest fire risk modeling in Golestan National Park. M.Sc. thesis, Department of Forestry,University of Agricultural Sciences&Natural Resources of Gorgan,122p (In Persian). - Eskandari, S., Oladi Ghadikolaei, J. and Jalilvand, H., 2014. Efficiency evaluation of Dong model for determination of fire risk potential in Zarrin Abad Forests. Iranian Journal of Forest and Poplar Research, 21(3): 439- 451 (In Persian). - Eskandari, S., Oladi Ghadikolaei, J., Jalilvand, H. and Saradjian, M.R., 2013. Fire risk modeling and prediction in district three of Neka-Zalemroud Forest using Geographical Information System. Iranian Journal of Forest and Poplar Research, 21(2): 203- 217 (In Persian). - Faramarzi, H., Hosseini, S.M., Ghajar, I. and Gholamalifard, M., 2014. Fire risk modeling using discriminant analysis and adaptive network based fuzzy inference system in the Golestan National Park. Journal of Emergency Management, 5: 79-87 (In Persian). - Garavand, S., Yaralli, N. and Sadeghi, H., 2013. Spatial pattern and mapping fire risk occurrence at natural lands of Lorestan province. Iranian Journal of Forest and Poplar Research, 1(2):231- 242 (In Persian). - Ghodsipour, H.,2011. Analytical Hierarchical Process. Published by Tehran Polytechnic Press, 220p (In Persian). - Gortmaker, K., 2010. Forest fire hazard mapping in the LaPeyne area, France. M.Sc. thesis, Faculty of Geosciences, Utrecht University, France, 61p. - Huyen, D.T. and Tuan, V.A., 2008. Applying GIS and multi criteria evaluation in forest fire risk zoning in Son la Province, Vietnam. International Conference on Geoinformation Spatial-Infrastructure Development, Hanooi, Vietnam, 9-11 December, 2008: 299-304. - Jaiswal, R.K., Mukerjee, S., Raju, D.K. and Saxana, R., 2002. Forest fire risk zone mapping from satellite imagery and GIS. International Journal of Applied Earth Observation and Geo-information, 4: 1-10. - Maeda, E.E., Formaggio, A.R., Shimabukuro, Y.E., Arcoverde, G.F.B. and Hansen, M.C., 2009. Predicting forest fire in the Brazilian Amazon using MODIS imagery and artificial neural networks. International Journal of Applied Earth Observation and Geoinformation, 11: 265-272. - Mohammadi, F., Shabanian, N., Pourhashmi, M. and Fatehi, P., 2009. Forest fire risk mapping using GIS and AHP in a part of Paveh forest. Iranian Journal of Forest and Poplar Research, 18(4): 569-586 (In Persian). - Mohammadi, S.F., Pirbavaghar, M. and Shabanian, N., 2013. Using of ANN and physiography, human and climate factors to mapping the forest fire potential. Iranian Journal of Forest and Range Protection Research, 11(2): 97-107 (In Persian). - Patah, N.A., Mansor, S. and Mispan, M.R., 2000. An Application of Remote Sensing and Geographic Information System for forest fire risk mapping. Bulletin of Malaysian Center for Remote Sensing: 54-67. - Rawat, G.S., 2003. Fire risk assessment for forest fire control management in Chilla forest range of Rajaji National Park Uttaranchal, India. M.Sc. thesis, International Institute for Geo-information Science and Earth Observation, Netherland, 78p. - Saaty, T.L., 1980. The Analytic Hierarchy Process. Third edition, McGraw-Hill, New York, 270p. - Sadeghi, K.H., Yarali, N., Heydari, A. and Tavakoli, R., 2010. Forest fire risk mapping in Zagros (Case study: Ardal). National Conference of Forests: Capabilities and Bottlenecks, Iran, 2010: 7p (In Persian). - Saklani, P., Ali Hussin, Y., Porwal, M.C., Van Westen, C., Sandeep-Tripathi, Sh., Kushwaha, S.P.S. and Porwal, M.C., 2008. Forest fire risk zonation; A case study Pauri Garhwal, Uttarakhand. M.Sc. thesis, International Institute for Geo-information Science and Earth Observation,Netherland,71p. - Salehi, H., Hoviyze, H. and Shekouhi, M., 1998. Ahvaz Vegetation Cover; Dashte Azadegan. Published by Research Institute of Forests and Rangelands, Tehran, 89p (In Persian). - Sowmya, S.V. and Somashekar, R.K., 2010. Application of remote sensing and Geographical Information System in mappingforest fire risk zone at Bhadra wildlife sanctuary, India. Journal of Environmental Biology, 31(6): 969-974. - Zumbrunnen,T., Pezzatti, G., Menéndez, P., Bugmann, H., Bürgi, M. and Conedera, M., 2010. Weather and human impacts on forest fires: 100 years of fire history in two climatic regions of Switzerland. Forest Ecology and Management, 261(12): 2188- 2199. | ||
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