Abstract
Wildfires have always been a threat to civil security. In some cases, they cannot be prevented. However, if fire modeling was performed in advance using the available software, it can significantly increase the level of safety in the event of their occurrence. In this paper an analysis of the existence of the geospatial data necessary for fire modeling for the selected area in the Autonomous Province of Vojvodina, Republic of Serbia, was performed. In addition to this analysis, it is recorded type of databases, in sense of coverage and data limitations, as well as date range of required data. A software that is used for this purpose, FARSITE, is described: the operating principle and the data necessary for fire modelling fire in it. Based on the research conducted in the paper, it can be concluded at which level the original geospatial data necessary for fire modeling are in the Republic of Serbia and what is necessary to do in order to improve that situation.
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References
Banković S, Medarević M, Pantić D, Petrović N, Šljukić B, Obradović S (2009) Šumski fond Republike Srbije - stanje i problemi. Glas Šumar Fak 100:7–29
Serbia 2019 Report (2019) Directorate-General for Neighbourhood and Enlargement Negotiations (European Commission) European Commission, Brussels, Belgium, Commission Staff Working Document 52019SC0219
Zakon o smanjenu rizika od katastrofa i upravljanju vanrednim situacijama (2018) Službeni glasnik Republike Srbije
Finney MA (1998) FARSITE: Fire Area Simulator-model development and evaluation. U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, Ft. Collins, CO, General Technical report RMRS-RP-4
FARSITE | Fire, Fuel, and Smoke Science Program. https://www.firelab.org/project/farsite. Accessed 22 Nov 2019
Fire Prediction Services: Phoenix RapidFire. https://firepredictionservices.com.au/. Accessed 22 Nov 2019
FireGrowthModel.ca - Home. http://www.firegrowthmodel.ca/index.php. Accessed 22 Nov 2019
FlamMap | Fire, Fuel, and Smoke Science Program. https://www.firelab.org/project/flammap. Accessed 22 Nov 2019
Osorio LYL, Bohórquez GB, Tapias EF (2019) Simulation in the farsite of a forest fire presented in the eastern hills of the town of San Cristóbal in Bogotá. Presented at the applied computer sciences in engineering, WEA 2019. Communications in computer and information science, vol 1052, pp 653–663
Forghani A, Cechet B, Radke J, Finney M, Butler B (2007) Applying fire spread simulation over two study sites in California lessons learned and future plans. In: 2007 IEEE international geoscience and remote sensing symposium, Barcelona, Spain, pp 3008–3013
Arca B, Duce P, Laconi M, Pellizzaro G, Salis M, Spano D (2007) Evaluation of FARSITE simulator in mediterranean maquis. Int J Wildland Fire 16(5):563
Kanga S, Singh SK (2017) Forest fire simulation modeling using remote sensing & GIS. Int J Adv Res Comput Sci 8(5):326–332
Kanga S, Sharma L, Pandey PC, Nathawat MS (2014) GIS modeling approach for forest fire risk assessment and management. Int J Adv Remote Sens GIS Geogr 2(1):30–44
Scott JH (2007) Nomographs for estimating surface fire behavior characteristics. U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, Ft. Collins, CO, RMRS-GTR-192
Heinsch FA, Andrews PL (2010) BehavePlus fire modeling system, version 5.0: design and features. U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, Ft. Collins, CO, General Technical report RMRS-GTR-249
Stratton RD (2009) Guidebook on LANDFIRE fuels data acquisition, critique, modification, maintenance, and model calibration. U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, General Technical report RMRS-GTR-220
Keane RE, Garner JL, Schmidt KM, Long DG, Menakis JP, Finney MA (1998) Development of input data layers for the FARSITE fire growth model for the Selway-bitterroot wilderness complex, USA. U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, Ft. Collins, CO, General Technical report RMRS-GTR-3
Ducić V, Milovanović B (2004) Termičke specifičnosti Deliblatske (banatske) peščare. Zb Rad Geogr Fak Univ U Beogr 52:1–12
Živojinović D, Sekulić D (1980) Šumski požari na Deliblatskoj peščari. Deliblatski Pesak Zb Rad IV Spec Prir Rezerv Deliblatski Pesak Šumsko Ind Komb Pančevo Druš Ekol Vojv, pp 83–100
Milenković M, Munćan S (2004) Ugroženost šuma Deliblatske peščare od požara. Specijalni rezervat prirode Deliblato sands, Zb Rad VII Javno Preduz Vojvodinašume Novi Sad Šumsko Gazdinstvo Banat Pančevo, pp 53–68
Živojinović D (1975) Šumski požari na Deliblatskom pesku posle II svetskog rata i analiza njihovih pojava. Deliblatski Pesak Zb Rad III Jugosl Poljopr-Šumar Cent Beogr Šumsko Ind Komb Pančevo, pp 165–182
Milenković M (2011) Fizičko-geografski faktori nastanka i dinamike šumskih požara u Deliblatskoj peščari. Doctoral dissertation, Faculty of Geography, University of Belgrade, Belgrade
Chen J, Cao X, Peng S, Ren H (2017) Analysis and applications of GlobeLand30: a review. ISPRS Int J Geo-Inf 6(8):230
Tadono T, Ishida H, Oda F, Naito S, Minakawa K, Iwamoto H (2014) Precise global DEM generation by ALOS PRISM. ISPRS Ann Photogramm Remote Sens Spat Inf Sci 4:71–76
Acknowledgments
The authors gratefully acknowledge the funding provided by the Faculty of Technical Sciences, Department of Civil Engineering and Geodesy under project “Theoretical and experimental research in civil engineering for the purpose of improvement of educational process and strengthening of scientific-research capacity of the department”. In addition, this research has partially been supported also by the Ministry of Education, Science and Technological Development of the Republic of Serbia (Projects numbers TR37018 and III43008).
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Marković, M., Laban, M., Maksimović, J., Kuzmić, T., Batilović, M., Draganić, S. (2020). Analysis of the Existence of Geospatial Data Necessary for Fire Modeling in the Republic of Serbia. In: Makovicka Osvaldova, L., Markert, F., Zelinka, S. (eds) Wood & Fire Safety. WFS 2020. Springer, Cham. https://doi.org/10.1007/978-3-030-41235-7_51
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