Orman Yangın Yönetiminde Etkili Bir Karar Destek Sisteminin Kavramsal Çerçevesi

Yıl 2020, Cilt: 6 Sayı: 2, 288 - 303, 01.07.2020

Kadir Alperen Coskuner , Ertuğrul Bilgili

https://doi.org/10.21324/dacd.645701

Cited By: 4

Öz

Orman yangın organizasyonları, yangınlarla mücadelede başarılı olabilmek için doğru, güncel ve kolaylıkla elde edilebilir bilgilere ihtiyaç duyar. Bu bilgilerin temini, yangın risk ve tehlike potansiyeli ile yangın davranışı hakkında doğru ve hızlı bilgi verebilen kapsamlı bir sistemin varlığı ile mümkün olabilir. Bu çalışmada, Türkiye orman yangın organizasyonu ve yangın yönetim planlamalarında kullanılabilecek bir Karar Destek Sisteminin (KDS) kavramsal çerçevesi, yapısı ve hiyerarşisi belirlenmiştir. KDS tasarımında, bir bütün halinde veya ayrı ayrı çalışabilecek dört alt sistem öngörülmüştür. Bunlar; i) Yangın Bilgi Sistemi; orman yangınları ile ilgili mekânsal, zamansal ve tanımlayıcı bilgilerin depolandığı ve veriler üzerinden akıllı sorgulamaların yapılabildiği alt sistem, ii) Yangın Çıkma İhtimalini Tahmin Sistemi; sabit ve değişken çevre faktörlerini dikkate alan ve belirli bir alan için yangın risk ve tehlike potansiyelini derecelendiren alt sistem, iii) Meteorolojik Yangın İndeksi Sistemi; yanıcı madde nemine bağlı olarak yanıcı maddelerin tutuşabilirliğini belirleyen ve yangının başlaması durumunda potansiyel yangın yayılma oranı ve yangın şiddeti hakkında bilgi veren alt sistem ve iv) Yangın Davranışı Tahmin Sistemi; yangın davranışını farklı hava halleri, topoğrafya ve yanıcı madde özelliklerine bağlı olarak tahmin etmeye çalışan alt sistemidir. Geliştirilen sistem tasarımı uygulamada kullanılabilecek şekilde hazır hale geldiğinde, orman yangınları ile mücadelede yangın yöneticilerine yangın öncesi, yangınla mücadele ve yangın sonrası planlamalarda önemli katkılar sunacak potansiyeldedir.

Anahtar Kelimeler

Karar Destek Sistemi , Orman Yangınları , Yangın Riski , Yangın Tehlikesi , Yangın Davranışı

Conceptual Framework of an Effective Decision Support System in Forest Fire Management

Öz

Forest fire management organizations require accurate, timely and readily available information to be successful in forest fire suppression. A sound decision support system is necessary to acquire and make this information available to fire management organization. In this study, the framework, structure and hierarchy of a Decision Support System (DSS) was designed in forest fire management organization and planning in Turkey. DSS consists of four subsystems which can operate individually or collectively. These subsystems are; i) Fire Information System; a smart database for fire managers to input, store, update and manage data easily, ii) Fire Occurrence Prediction System; forest fire risk and danger determiner using constant environmental variables iii) Fire Weather Index System; fire weather index calculator for the ignition potential of fuels, potential rate of spread and fire intensity, iv) Fire Behavior Prediction System; fire propagation simulator for predicting fire behavior under varying weather, fuel and topographic conditions. When readily available for operational use, the DSS will have the potential to provide fire managers with tools and support necessary for successful fire prevention/presuppression, suppression and post fire management planning.

Anahtar Kelimeler

Decision Support System , Forest Fires , Fire Risk , Fire Danger , Fire Behavior

Kaynakça

• Alexander M.E., Stocks B.J., Lawson B.D., (1996), The Canadian forest fire danger rating system, Bombardier Inc., Canadair, Montreal, PQ. ss.6-9.
• Baş R., (1965), Türkiye’de Orman yanginlari problemi ve bazi klimatik faktörlerin yangınlara etkileri üzerine araştirmalar, Orman Genel Müdürlüğü Yayınları, Ankara, Türkiye 421ss.
• Bilgili E., (1997), Forests and forest fires in Turkey, International Forest Fire News, 17(1), 15-21.
• Bilgili E., (1999), The Use of Decision Support Systems in Fire Management Planning, Orman Yangınlarının Önlenmesi ve Mücadelesi Semineri, 18-22 Mayıs, Fethiye, Muğla.
• Bilgili E., Coskuner K.A., (2015), Towards Turkish National Fire Danger Rating System as a Decision Support System, Proceedings 6th International Wildland Fire Conferance, Pyeongchang, South Korea, ss.16-17.
• Bilgili E., Sağlam B., (2003), Fire behavior in maquis fuels in Turkey, Forest Ecology and Management, 184(1-3), 201-207.
• Bilgili E., Sağlam B., Başkent E.Z., (2001), Yangın amenajmani planlamalarinda yangin tehlike oranlari ve Coğrafi Bilgi Sistemleri, KSÜ Fen ve Mühendislik Dergisi, 4(2), 288-297.
• Boer M.M., Sadler R.J., Wittkuhn R.S., McCaw L., Grierson P.F., (2009), Long-term impacts of prescribed burning on regional extent and incidence of wildfires—Evidence from 50 years of active fire management in SW Australian forests, Forest Ecology and Management, 259(1), 132-142.
• Burgan R. E., (1988), Revisions to the 1978 National Fire-Danger Rating System, Res. Pap. SE-273 Department of Agriculture, Forest Service, Southeastern Forest Experiment Station, Asheville, North Carolina, USA, 44ss.
• Carlson J.D., Bradshaw L.S., Nelson R.M., Bensch R.R., Jabrzemski R., (2007), Application of the Nelson model to four timelag fuel classes using Oklahoma field observations: model evaluation and comparison with National Fire Danger Rating System algorithms, International Journal of Wildland Fire, 16(2), 204-216.
• CFDG, (1992), Development and structure of the Canadian Forest Fire Behavior Prediction System, Information Report ST-X-3 Fire Danger Group and Science and Sustainable Development Directorate, Ottawa, Canada, 66ss.
• Chandler C., Cheney P., Thomas P., Trabaud L., Williams D., (1983), Fire in forestry. Volume 1. Forest fire behavior and effects Volume 2. Forest fire management and organization, John Wiley & Sons, Inc, New York, USA, 450ss.
• Chuvieco E., Aguado I., Yebra M., Nieto H., Salas J., Martin M.P., Vilar L., Martinez J., Martin S., Ibarra,P., de la Riva J., Baeza J., Rodriguez F., Molina J. R., Herrera M.A., Zamora R., (2010), Development of a framework for fire risk assessment using remote sensing and geographic information system technologies, Ecological Modelling, 221(1), 46-58.
• Countryman C.M., (1966), Rating Fire Danger by the Multiple Basic Index System, Journal of Forestry, 64(8), 531-536.
• Çanakçıoğlu, H., (1985) Orman Koruma, İstanbul Üniversitesi Orman Fakültesi Yayınların, İstanbul, Türkiye, 486ss.
• Çanakçıoğlu, H., (1988), Yangın Tehlike İndekslerinden Yararlanılan Alanlar, Türkiye Ormanlarını Yangından Koruma Semineri, 1-4 Mayıs, Ankara, ss.153-162.
• de Groot, W.J., Field R.D., Brady M.A., Roswintiarti O., Mohamad M., (2006), Development of the Indonesian and Malaysian Fire Danger Rating Systems, Mitigation and Adaptation Strategies for Global Change, 12, 165–180.
• de Groot, W.J., Goldammer G.J., Keenan T., Brady M., Lynham T.J., Justice C.O., Csiszar, I.A., O'Loughlin K. (2006), Developing a global early warning system for wildland fire, 5th International Conference on Forest Fire Research, Figueira da Foz, Portugal 12.
• Deeming J.E., Burgan R.E., Cohen J.D., (1978), The National Fire-Danger Rating System, U.S. Department of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station, INT-39.
• Deeming J.E., Lancester J.W., Fosberg M.A., Furman R.W., Schroeder M.J., (1972), The National Fire-Danger Rating System, Fort Callins, Colorado, 165ss.
• del Hoyo L.V., Isabel M.P.M., Vega F.J.M., (2011), Logistic regression models for human-caused wildfire risk estimation: analysing the effect of the spatial accuracy in fire occurrence data, European Journal of Forest Research, 130(6), 983-996.
• Dimitrakopoulos A.P., Bemmerzouk A.M., (2003), Predicting live herbaceous moisture content from a seasonal drought index, International Journal of Biometeorology, 47, 73–79.
• Dimitrakopoulos A.P., Bemmerzouk A.M., Mitsopoulos I.D., (2011), Evaluation of the Canadian fire weather index system in an eastern Mediterranean environment, Meteorological Applications, 18(1), 83-93.
• Fogarty L.G., Pearce H.G., Catchpole W.R., Alexander M.E., (1998), Adoption vs Adaptation: Lessons from applying the Canadian Forest Fire Danger Rating System in New Zealand. III International Conference on Forest Fire Research, 14th Conference on Fire and Forest Meteorology, 16–20 November, Luso, Portugal.
• Fosberg M.A., Micheal A., (1971), Moisture content calculations for the 100-hour timelag fuel in fire-danger rating, Res. Note RM-199 Rocky Mountain Forest and Range Experiment Station, Fort Collins, Colorado, USA, 7ss.
• Fosberg M.A., Micheal A., Deeming J.E., (1971), Derivation of the 1- and 10- hour timelag fuel moisture calculations for fire-danger rating, Res. Note RM-207 Rocky Mountain Forest and Range Experiment Station, Fort Collins, Colorado, USA, 8ss.
• Fox-Hughes P., Matthews S., Jakob D., Sauvage S., Kenny B., Su C.H., Hollis J., Grootemaat S., Eizenberg N., Steinle P., (2018), Coimbra, Portugal, Reanalysis of climatology of Australian protoype fire danger rating system: 192. 8th International Conferance of Forest Fire Research, GOFC-GOLD, (2003), Monitoring Global Change: Canada’s Contribution. Natural Resources Canada, Edmonton, AB.
• Griffiths D., (1999), Improved formula for the drought factor in McArthur’s Forest Fire Danger, Aust. For., 62(2), 202-206.
• Hirsch K.G., (1996), Canadian Forest Fire Behavior Prediction (FBP) System: user's guide, Edmonton, Alberta, Canada, 122ss.
• Kalabokidis K., Ager A., Finney M., Athanasis N., Palaiologou P., Vasilakos C., (2016), AEGIS: a wildfire prevention and management information system, Natural Hazards and Earth System Sciences, 16(3), 643-661.
• Kalabokidis K., Xanthopoulos G., Moore P., Caballero D., Kallos G., Llorens J., Roussou O., Vasilakos C., (2012), Decision support system for forest fire protection in the Euro-Mediterranean region, European Journal of Forest Research, 131(3), 597-608.
• Keetch J.J., Byram G. M., (1968), A drought index for forest fire control, Report SE-38 Department of Agriculture, Forest Service, Southeastern Forest Experiment Station, Asheville, North Carolina, USA, 32ss.
• Kourtz P.H., Todd J.B., (1991), Predicting the daily occurrence of lightning-caused forest fires, Information Report PI-X-112 Petawawa National Forestry Institute, Chalk River, Ontario, Canada, 18ss.
• Küçük Ö., (2000), Karaçamda yanici madde miktarinin tespiti ve yanici madde özelliklerine bağli yanici madde modelleri, Yüksek Lisans Tezi, K.T.Ü, Fen Bilimleri Enstitüsü, Trabzon.
• Küçük Ö., (2004), Yanıcı madde tipleri ve yangın davranışına bağlı yangın potansiyelinin belirlenmesi ve haritalanması, Doktora Tezi, K.T.Ü, Fen Bilimleri Enstitüsü Trabzon.
• Küçük Ö., Bilgili E., Sağlam B., Durmaz B.D., Baysal I., (2007), The Studies to Support a Fire Danger Rating System in Turkey, Kastamonu University, Journal of Forestry Faculty, 7(1), 104-109.
• Lawson B.D., Stocks B.J., Alexander M.E., Van Wagner C.E., (1985), A system for predicting fire behavior in Canadian forests, Proceedings of the 8th Conference on Fire and Forest Meteorology, Detroit, Michigan, USA., 85, ss.6-16.
• Lee B.S., Alexander M.E., Hawkes B.C., Lynham T.J., Stocks B.J., Englefield P., (2002), Information systems in support of wildland fire management decision making in Canada, Computers and Electronics in Agriculture, 37(1-3), 185-198.
• Lopez A.S., San-Miguel-Ayanz J., Burgan R.E., (2002), Integration of satellite sensor data, fuel type maps and meteorological observations for evaluation of forest fire risk at the pan-European scale, International Journal of Remote Sensing, 23(13), 2713-2719.
• Martell D.L., (2001), Forest Fires, Chapter 15-Forest Fire Management, E.A. Johnson, K. Miyanishi editors, Academic Press, San Diego, ss.527-583.
• Martell D.L., Bevilacqua E., Stocks B.J., (1989), Modeling Seasonal-Variation in Daily People-Caused Forest Fire Occurrence, Canadian Journal of Forest Research-Revue Canadienne De Recherche Forestiere, 19(12), 1555-1563.
• Matthews S., Fox-Hughes P., Grootemaat S., Heemstra S., Hollis J., Kenny B., Sauvage S., Shackleton C., Short L., Sparkles D., (2018) Coimbra, Portugal, Building the prototype for a new National Fire Danger Rating System for Australia, 8th International Conferance on Forest Fire Research, Coimbra, Portugal, ss.1359-1362.
• McArthur A.G., (1958), The preparation and use of fire danger tables, Fire Weather Conference, 15-17 July, Melbourne, Australia.
• McArthur A.G., (1960), Fire danger rating tables for annual grasslands, Forestry and Timber Bureau, Mimeograph, Australia 15ss.
• McArthur A.G., (1962), Control burning in eucalypt forests, Forestry and Timber Bureau, Leaflet, Australia, 7ss.
• McArthur A.G., (1966), Weather and grassland fire behaviour, Forestry and Timber Bureau, Leaflet, Australia, 16ss.
• McArthur A. G., (1967), Fire behaviour in eucalypt fuels, Forestry and Timber Bureau, Leaflet, Australia, 13ss.
• Merrill D.F., Alexander M.E., (1987) Glossary of forest fire management terms, Pub. NRCC No. 26516, Canadian Committee on Forest Fire Management, National Research Council of Canada, Ottawa.
• Mol T., (1988) Yangın Tehlike Oranları, Türkiye Ormanlarını Yangından Koruma Semineri, 1-4 Mayıs, Ankara, ss. 130-139.
• Moreira F., Viedma O., Arianoutsou M., Curt T., Koutsias N., Rigolot E., Barbati A., Corona P., Vaz P., Xanthopoulos G., Mouillot F., Bilgili E., (2011), Landscape - wildfire interactions in southern Europe: Implications for landscape management, Journal of Environmental Management, 92(10), 2389-2402.
• Nelson R.M., (2000), Prediction of diurnal change in 10-h fuel stick moisture content, Canadian Journal of Forest Research-Revue Canadienne De Recherche Forestiere, 30(7), 1071-1087.
• OGM (2016), Orman Yangın Eylem Planı, Orman Genel Müdürlüğü Orman Yangınları ile Mücadele Dairesi Başkanlığı, Ankara, Türkiye, 260ss.
• OGM (2017), Orman yangınları ile mücadele faaliyetleri 2017 yılı değerlendirme raporu, Orman Genel Müdürlüğü Orman Yangınları ile Mücadele Dairesi Başkanlığı, Ankara, Türkiye, Ankara 130ss.
• Öymen T., (1989). Yangın Davranış Tehlike Sinyalleri ve İnterpretasyonları, Orman Yangınlarıyla Savaş Semineri, Ankara 28: 31-35.
• Pearce H.G., Alexander M. E., (2015), Bethesda, MD, Fire danger ratings associated with New Zealand’s major pine plantation wildfires, 12th Conference on Fire and Forest Meteorology, October 26–28, 1993, 94-02: 534–543.
• Pettinari M.L., Pyne, S. J., (1984), Global Fuelbed Dataset. Introduction to wildland fire. Fire management in the United States, John Wiley & Sons, New York.
• Rothermel, R. C., (1972), A mathematical model for predicting fire spread in wildland fuels, Report INT-115 Department of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station, Ogden,Utah, USA, 48ss.
• Rowe J.S., (1972), Forest Regions of Canada, Can. For. Serv. Ont. Publ., Ottawa.
• Sağlam B., (2002), Meteorolojik faktörlere bağli yanici madde nem içerikleri ve maki tipi yanici maddelerde yangin davranişi, Doktora Tezi, K.T.Ü, Fen Bilimleri Enstitüsü, Trabzon.
• Sağlam B., Bilgili E., Durmaz B.D., Kadiogullari A.İ., Küçük Ö., (2008), Spatio-temporal analysis of forest fire risk and danger using Landsat imagery, Sensors, 8(6), 3970-3987.
• San-Miguel-Ayanz J., Moreno J.M., Camia A., (2013), Analysis of large fires in European Mediterranean landscapes: Lessons learned and perspectives, Forest Ecology and Management, 294, 11-22.
• Shim J.P., Warkentin M., Courtney J.F., Power D.J., Sharda R., Carlsson C., (2002), Past, present, and future of decision support technology, Decision Support Systems, 33(2), 111-126.
• Stocks B.J., Lawson B.D., Alexander M.E., Van Wagner C.E., McAlpine R.S., Lynham T.J., Dube D.E., (1989), The Canadian Forest Fire Danger Rating System-an Overview, Forestry Chronicle, 65(6), 450-457.
• Taylor S.W., (2001), Considerations for Applying the Canadian Forest Fire Danger Rating System in Argentina, Canadian Forest Service, Pacific Forestry Centre: Victoria, BC, Canada, 25ss.
• Taylor S.W., Alexander M.E., (2003), Canada, Considerations in developing a national forest fire danger rating system, XII World Forestry Congress, Quebec, B. Forests for the Planet B1. Status and trends 0726-B1
• TOGTAG (2008), Farklı Eğim Grubu ve Nem Koşullarında Maki Tipi Yanıcı Maddelerde Yangın Davranışının Belirlenmesi ve Coğrafi Bilgi Sistemleri Kullanılarak Haritalanması, Proje Sonuç Raporu TOGTAG 105O523, Türkiye Bilimsel ve Teknolojik Araştırma Kurumu, Ankara, Türkiye 56ss.
• TOGTAG (2007), Genç Kızılçam Meşcereleri ve Maki Tipi Yanıcı Maddelerde Yangın Davranışının Belirlenmesi ve Coğrafi Bilgi Sistemleri Kullanılarak Haritalanması, Proje Sonuç Raporu TOGTAG 3375, Türkiye Bilimsel ve Teknolojik Araştırma Kurumu, Ankara, Türkiye 82ss.
• TOVAG (2011), Türkiye Ulusal Yangın Tehlike Oranları Sistemi (TUYTOS)’ne Doğru. Bölüm I: Yangın Davranışı Tahmin Sistemi, Proje Sonuç Raporu TOVAG 108O327, Türkiye Bilimsel ve Teknolojik Araştırma Kurumu, Ankara, Türkiye 89ss.
• TOVAG (2015), Türkiye Orman Yangın Tehlike Oranları Sistemi (TOYTOS)’ne Doğru. Bölüm II: Meteorolojik Yangın İndeksi Sistemi, Proje Sonuç Raporu TOVAG 112O809, Türkiye Bilimsel ve Teknolojik Araştırma Kurumu, Ankara, Türkiye 74ss.
• Tymstra C.B., R.W., Wotton B.M., Taylor S.W., Armitage, O.B., (2010), Development and Structure of Prometheus: the Canadian Wildland Fire Growth Simulation Model, Information Report NOR-X-417 Northern Forestry Centre Canadian Forest Service, Edmonton, Alberta, Canada, 102ss.
• URL-1, (2018), National Fire Danger Rating System (Nfdrs) Proposed Updates, https://www.wfas.net/nfdrs2016, [Erişim 09 Kasım 2018].
• URL-2, (2018), The European Forest Fire Information System (EFFIS), http://forest.jrc.ec.europa.eu/effis/applications/current-situation/, [Erişim 11 Kasım 2018].
• URL-3, (2018), Global Wildfire Information System (GWIS), http://gwis.jrc.ec.europa.eu, [Erişim 09 Ekim 2018].
• Van Nest T.A., Alexander M.E., (1999), Systems for rating fire danger and predicting fire behavior used in Canada, National Interagency Fire Behavior Workshop, Phoenix, Arizona, USA, ss.1-13.
• Van Wagner C.E., (1974), Structure of the canadian forest fire weather index, Publication No: 1333, Canadian Forestry Service, Ottawa, Canada, 49ss.
• Van Wagner C.E., (1987), Development and structure of the Canadian forest fire weather index system, Publication No: 1333, Canadian Forestry Service, Ontario, Canada, 48ss.
• Van Wagner C.E., (1998), Modelling logic and the Canadian forest fire behavior prediction system, Forestry Chronicle, 74,1, 50-52.
• Van Wagner C.E., Pickett T.L., (1985), Equations and FORTRAN program for the Canadian Forest Fire Weather Index, Forestry Technical Report FTR-35 Canadian Forestry Service, Chalk River, Ontario, Canada, 18ss.
• Van Wilgen B.W., Burgan R.E., (1984), Adaptation of the United States Fire Danger Ratin System to fynbos conditions. Part II. Historic fire danger in the fynbos biome., South African Forestry Journal, 129, 66-78.
• Viegas D.X., Bovio G., Ferreira A., Nosenzo A., Sol B., (1999), Comparative study of various methods of fire danger evaluation in southern Europe, International Journal of Wildland Fire, 9(4), 235-246.
• White R.A., Rush M.F., (1990), The Jiagedaqui fire management project (JIAPRO): an example of international assistance, Information Report NOR-X-309 The Art and Science of Fire Management, Edmonton, AB, ss. 287–296.
• Willis C., Wilgen V.W., Tolhurst K., Everson C., D'Abreton P., Pero L., Fleming G., (2001), The Development of a National Fire Danger Rating System for South Africa, Project Report ENV-P-C 2000-073 CSIR Water, Environment and Forestry Technology, Pretoria, South Africa, 89ss.
• Wybo J.L., Guarnieri F., Richard B., (1995), Forest-Fire Danger Assessment Methods and Decision-Support, Safety Science, 20(1), 61-70.
• Xanthopoulos G., (2007), Forest fire policy scenarios as a key element affecting the occurrence and characteristics of fire disasters, In Proceedings of the 4th International Wildland Fire Conference, 14-17 May, Sevilla, Spain, 11ss.