Jovica Stanković, Zoran Tomić, Milan Gocić

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The main objective of this study is to visualize the flood risk vulnerability of municipalities in the Republic of Serbia through mapping and spatial analysis of precipitation data and data related to the losses. GIS tools enable spatial analysis and visualization of historical data on losses combined with temporal and geo-spatial distribution of precipitation, and QGIS tool was used for visualization of precipitation data and data on damages caused by floods and flash floods. As a result of these analyses, areas with potential high risks of losses are detected, which enables undertaking appropriate steps and measures in order to minimize future losses.


risk visualization, floods, GIS, spatial analysis

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Bajat, B., Pejovic, M., Lukovic, J., Manojlovic, P., Ducic, V., & Mustafic, S. (2013). Mapping average annual precipitation in Serbia (1961–1990) by using regression kriging. Theoretical and Applied Climatology 112, 1-13. https://doi.org/10.1007/s00704-012-0702-2

Bednarz, S. W., Acheson, G., & Bednarz, R. S. (2006). Maps and map learning in social studies. Social Education, 70(7), 398. Retrieved from https://www.learntechlib.org/p/77446/

Božanić, D., Mitrović, Đ. (2019). Study on the Socio-economic Aspects of Climate Change in the Republic of Serbia. United Nations Development Program, Belgrade.

Dilley, M., Chen, R. S., Deichmann, U., Lerner-Lam, A., Arnold, M., Agwe, J., ... & Yetman, G. (2005). Natural disaster hotspots. A global risk analysis. The World Bank. Hazard Management Unit, Washington, DC.

Gocic, M. & Trajkovic, S. (2013). Analysis of precipitation and drought data in Serbia over the period 1980–2010. Journal of Hydrology 494, 32-42. https://doi.org/10.1016/j.jhydrol.2013.04.044

Gocic, M. & Trajkovic, S. (2014). Spatiotemporal characteristics of drought in Serbia. Journal of Hydrology, 510,110-123. https://doi.org/10.1016/j.jhydrol.2013.12.030

Gocic, M., Velimirovic, L., Stankovic, M., & Trajkovic, S. (2021). Determining the best fitting distribution of annual precipitation data in Serbia using L-moments method. Earth Science Informatics, 14(2), 633-644. https://doi.org/10.1007/s12145-020-00543-9

Kirk, A. (2012). Data Visualization: a successful design process. Packt publishing LTD.

Kovačević-Majkić, J., Panić, M., Miljanović, D., & Miletić, R. (2014). Vulnerability to natural disasters in Serbia: spatial and temporal comparison. Natural hazards, 72(2), 945-968. https://doi.org/10.1007/s11069-014-1045-3

Li, Z., Wang, K., Ma, H., & Wu, Y. (2018, November). An adjusted inverse distance weighted spatial interpolation method. In Proceedings of the 2018 3rd International Conference on Communications, Information Management and Network Security (CIMNS 2018). https://dx.doi.org/10.2991/cimns-18.2018.29

Longley, P. A., Goodchild, M. F., Maguire, D. J., & Rhind, D. W. (2005). Geographic information systems and science. John Wiley & Sons.

Noy, I. (2009). The macroeconomic consequences of disasters. Journal of Development economics, 88(2), 221-231. https://doi.org/10.1016/j.jdeveco.2008.02.005

Raschky, P. A. (2008). Institutions and the losses from natural disasters. Natural hazards and earth system sciences, 8(4), 627-634. https://doi.org/10.5194/nhess-8-627-2008

Stanković, J., Tomić, Z., & Stanković, J. (2020). Socio-economic Impact of Natural Disasters in the Republic of Serbia. Economic Analysis, 53(2), 20-38. https://doi.org/10.28934/ea.20.53.2.pp20-38

Stat, F. (2018). Food and Agricultural Organization of the United Nation. Economic and Social Department. Statistic Division (ESS). Retreived from FAO STAT website: http://www.fao.org/about/whowe-are/departments/statistics-division/en

Unkašević, M., & Tošić, I. (2011). A statistical analysis of the daily precipitation over Serbia: trends and indices. Theoretical and applied climatology, 106(1), 69-78. https://doi.org/10.1007/s00704-011-0418-8

Vuković, A. J., Vujadinović, M. P., Rendulić, S. M., Đurđević, V. S., Ruml, M. M., Babić, V. P., & Popović, D. P. (2018). Global warming impact on climate change in Serbia for the period 1961-2100. Thermal Science, 22(6 Part A), 2267-2280. https://doi.org/10.2298/TSCI180411168V

World Bank Group. (2016). Disaster Risk Finance Country Note: Serbia. World Bank.

World Bank. (2015). Coping with Floods, Strengthening Growth. South East Europe Regular Economic Report 7.

DOI: https://doi.org/10.22190/FUEO210817034S


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