Natalia Verbitskaya, Darko B. Vuković, Andrey Mehrentsev, Dejana Jakovljević, Aleksandra Vujko


In this paper authors developed Cube Online Analytical Model (COLAM) which should anticipate various restrictions and hazards in river transport system. The aim is to construct a theoretical model which will predict certain delays in transport time caused by topographic and hydrographic constraints, natural hazards (such as ice, floods and droughts), economic and political constraints (tariff barriers between the countries, operating costs, terminal costs and sanctions, the threat of war, etc.) and different technical accidents. COLAM integrates hydroinformatic and hydrologic base of knowledge with real time and gives possibility to provide information for economic queries with different hierarchy of time. COLAM is methodological and practical instrument for this challenge. It integrates hydroinformatic and hydrologic base of knowledge with real time. The model in each concrete case is created to receive information about possible changing of navigation periods on the base of multi-dimension all of three groups of risks (natural hazards, social and technical hazards) as also their combinations.


economic geography; COLAM; river shipping; hazards; transport logistics

Full Text:



Fernández, N., Jaimes, W., & Altamiranda, E. (2010). Neurro-fuzzy modeling for level prediction for the navigation sector on the Magdalena River (Colombia). Journal of Hydroinformatics, 12(1), 36–50. doi:

Gelfan, A. N, & Moreido, V. M. (2014). Dynamic-stochastic modeling of snow cover formation on the European territory of Russia. Lëd i Sneg, 54(2), 44–52. doi:

Gregory, K. J., Benito, G., Dikau, R., Golosov, V., Johnstone, E. C., Jones, J. A., Macklin, M. G., Parsons, A. J., Passmore, D. G., Poesen, J., Soja, R., Starkel, L., Thorndycraft, V. R., & Walling, D. E. (2006). Past hydrological events and global change. Hydrological Processes, 20(1), 199–204. doi:

Mynett, A. E., & Vojinovic, Z. (2009). Hydroinformatics in multi-colors – part red: urban flood and disaster management. Journal of Hydroinformatics, 11(3–4), 166–180. doi:

Petrova, E. G. (2011). Natural factors of technological accidents: the case of Russia. Natural Hazards and Earth System Sciences, 11(8), 2227–2234. doi:

Roushangar, K., Hassanzadeh, Y., Keyneyad, M. A., Nourani, V., & Mouaze, D. (2011). Studying of flow model and bed load transport in a coarse bed river: case study — Aland River, Iran. Journal of Hydroinformatics, 13(4), 850–866. doi:

Thomsen, E. (2002). OLAP Solutions: Building Multidimensional Information Systems (2nd Ed). Wiley: New York, USA.

Vuković, D. B., Simeunović, I. R., Zalesov, S., Yamashkin, A. A., & Shpak, N. (2015). Influence of summer temperatures on basic economic and tourism indicators of the Middle Mediterranean. Thermal Science, 19(2), S361–S370. doi:

Weber, A., Zhang, J., Nardin, A., Sukhodolov, A., & Wolter, C. (2016). Modelling the Influence of Aquatic Vegetation on the Hydrodynamics of an Alternative Bank Protection Measure in a Navigable Waterway. River Research and Applications, 32(10), 2071–2080. doi:



  • There are currently no refbacks.

Copyright (c) 2018 Journal of the Geographical Institute “Jovan Cvijić” SASA

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial - NoDerivs 4.0

Printed edition: ISSN 0350-7599

Electronic edition: ISSN 1821-2808

Publisher: Geographical Institute “Jovan Cvijić” SASA (Serbian Academy of Sciences and Arts), Djure Jakšića 9, Belgrade 11000, Serbia