• Vladimir M. Cvetković University of Belgrade, Faculty of Security Studies
Keywords: disasters, early warning, alert system, innovative solutions, darenet, literary review


In different parts of the world, decision-makers and risk managers use specific and particularly complex disaster early warning and alert systems to protect people and their material goods from the harmful effects of various disasters in a timely, efficient and appropriate manner. However, concerning the level of scientific-technological and economic development of certain countries, such systems can differ in the many characteristics that make them more efficient in specific situations. Guided by this, the subject of the paper is reflected in the systematic identification, analysis, and classification of the best innovative solutions of early warning systems in regard to their usability and efficiency. To find appropriate innovative solutions, it was performed a search of different electronic databases. The findings of this review showed that there is a huge potential for innovative solutions in the field of disaster early warning and alert systems.



Akhtar, M. K., Corzo, G., van Andel, S., & Jonoski, A. Rainfall from Satellite Data and Artificial Neural Networks. WaterMill Working Paper Series, 2008, no. 3
Alcántara-Ayala, I., & Oliver-Smith, A. (2019). Early warning systems: lost in translation or late by definition? A FORIN approach. International Journal of Disaster Risk Science, 10(3), 317-331.
Alfieri, L., Salamon, P., Pappenberger, F., Wetterhall, F., & Thielen, J. (2012). Operational early warning systems for water-related hazards in Europe. Environmental Science & Policy, 21, 35-49.
Alias, N. E., Salim, N. A., Taib, S. M., Mohd Yusof, M. B., Saari, R., Adli Ramli, M. W., Ismail, N. (2020). Community responses on effective flood dissemination warnings—A case study of the December 2014 Kelantan Flood, Malaysia. Journal of flood risk management, 13, e12552.
Aloudat, A., & Michael, K. (2011). Toward the regulation of ubiquitous mobile government: a case study on location-based emergency services in Australia. Electronic Commerce Research, 11(1), 31-74.
Artan, G. A., Restrepo, M., Asante, K., & Verdin, J. (2002). A flood early warning system for Southern Africa. In Proc., Pecora 15 and Land Satellite Information 4th Conf.
Ayzel, G., Varentsova, N., Erina, O., Sokolov, D., Kurochkina, L., & Moreydo, V. (2019). OpenForecast: The First Open-Source Operational Runoff Forecasting System in Russia. Water, 11(8), 1546.
Basher, R. (2006). Global early warning systems for natural hazards: systematic and people-centred. Philosophical transactions of the royal society a: mathematical, physical and engineering sciences, 364(1845), 2167-2182.
Buan, S., & Diamond, L. (2012). Multi-hazard early warning system of the United States National Weather Service. In Institutional Partnerships in Multi-Hazard Early Warning Systems (pp. 115-157): Springer.
Bubar, A., Eckstein, B., Ell, A., Hilts, E., Martin, S., Powell, T., Rios Rincon, A. (2020). Emergency siren detection technology and hearing impairment: a systematized literature review. Disability and Rehabilitation: Assistive Technology, 1-9.
Chakma, U., Hossain, A., Islam, K., Hasnat, G. T., & Kabir, M. H. (2021). Water crisis and adaptation strategies by tribal community: A case study in Baghaichari Upazila of Rangamati District in Bangladesh. International Journal of Disaster Risk Management, 2(2), 37-46.
Chen, A., Zhu, H., Ni, X., & Su, G. (2020). Pre-warning information dissemination models of different media under emergencies. Chinese Physics B, 29(9), 094302.
Cvetković, V. (2020). Disaster risk management (Upravljanje rizicima u vanrednim situacijama). Beograd: Naučno-stručno društvo za upravljanje rizicima u vanrednim situacijama.
Cvetkovic, V. M., & Martinović, J. (2020). Innovative solutions for flood risk management. International Journal of Disaster Risk Management, 2(2), 71-100.
Cvetković, V. M., Nikolić, N., Radovanović Nenadić, U., Öcal, A., K Noji, E., & Zečević, M. (2020). Preparedness and preventive behaviors for a pandemic disaster caused by COVID-19 in Serbia. International journal of environmental research and public health, 17(11), 4124.
De León, J. C. V., Bogardi, J., Dannenmann, S., & Basher, R. (2006). Early warning systems in the context of disaster risk management. Entwicklung and Ländlicher Raum, 2, 23-25.
Fakhruddin, S. H. M., & Chivakidakarn, Y. (2014). A case study for early warning and disaster management in Thailand. International journal of disaster risk reduction, 9, 159-180.
Farid, M. M., Prawito, Susila, I. P., & Yuniarto, A. (2017). Design of early warning system for nuclear preparedness case study at Serpong.
Fearnley, C. J., & Dixon, D. (2020). Early warning systems for pandemics: Lessons learned from natural hazards. International journal of disaster risk reduction, 49, 101674.
Fujita, K., & Shaw, R. (2019). Preparing International Joint Project: use of Japanese flood hazard map in Bangladesh. International Journal of Disaster Risk Management, 1(1), 62-80.
Gasparini, P., & Manfredi, G. (2014). Development of earthquake early warning systems in the European Union. In Early warning for geological disasters (pp. 89-101): Springer.
Gijsbers, P. (2010). Opportunities and limitations of DelftFEWS as a scientific workflow tool for environmental modelling. International Environmental Modelling and Software Society (iEMSs).
Glantz, M. H. (2003, October). Usable science 8: early warning systems: do’s and don’ts. In Report of workshop (pp. 20-23).
Goltz, J. D., & Roeloffs, E. (2020). Imminent Warning Communication: Earthquake Early Warning and Short-Term Forecasting in Japan and the US. In Disaster Risk Communication (pp. 121-153): Springer.
Gouldby, B., Krzhizhanovskaya, V., & Simm, J. (2010). Multiscale modelling in real-time flood forecasting systems: From sand grain to dike failure and inundation. Procedia Computer Science, 1(1), 809.
Grasso, V. F., & Singh, A. (2011). Early warning systems: State-of-art analysis and future directions. Draft report, UNEP, 1.
Gunasekera, D., Plummer, N., Bannister, T., & Anderson-Berry, L. (2005). Natural disaster mitigation: role and value of warnings. Economic value of fire weather services, 3.
Guo, X., & Kapucu, N. (2019). Examining stakeholder participation in social stability risk assessment for mega projects using network analysis. International Journal of Disaster Risk Management, 1(1), 1-31.
Hsiao, N. C., Wu, Y. M., Shin, T. C., Zhao, L., & Teng, T. L. (2009). Development of earthquake early warning system in Taiwan. Geophysical research letters, 36(5).
Indrasari, W., Iswanto, B. H., & Andayani, M. (2018 2018). Early Warning System of Flood Disaster Based on Ultrasonic Sensors and Wireless Technology.
Intrieri, E., Gigli, G., Mugnai, F., Fanti, R., & Casagli, N. (2012). Design and implementation of a landslide early warning system. Engineering Geology, 147, 124-136.
Kanamori, H., Hauksson, E., & Heaton, T. (1997). Real-time seismology and earthquake hazard mitigation. Nature, 390(6659), 461-464.
Khankeh, H. R., Hosseini, S. H., Farrokhi, M., Hosseini, M. A., & Amanat, N. (2019). Early warning system models and components in emergency and disaster: a systematic literature review protocol. Systematic reviews, 8(1), 1-4.
Kim, J. J., & Guha-Sapir, D. (2012). Famines in Africa: is early warning early enough? Global health action, 5(1), 18481.
Klafft, M., & Ziegler, H. G. (2014, April). A concept and prototype for the integration of multi-channel disaster alert systems. In Proceedings of the 7th Euro American Conference on Telematics and Information Systems (pp. 1-4).
Krzhizhanovskaya, V. V., Shirshov, G. S., Melnikova, N. B., Belleman, R. G., Rusadi, F. I., Broekhuijsen, B. J., Bubak, M. (2011). Flood early warning system: design, implementation and computational modules. Procedia Computer Science, 4, 106-115.
Kuligowski, E. D., Kuligowski, E. D., & Doermann, J. (2018). A review of public response to short message alerts under imminent threat: US Department of Commerce, National Institute of Standards and Technology.
Kull, D., Mechler, R., & Hochrainer‐Stigler, S. (2013). Probabilistic cost‐benefit analysis of disaster risk management in a development context. Disasters, 37(3), 374-400.
LaBrecque, J., Rundle, J. B., & Bawden, G. W. (2019). Global navigation satellite system enhancement for tsunami early warning systems. Global Assessment Report on Disaster Risk Reduction.
Legg, T. P., & Mylne, K. R. (2004). Early warnings of severe weather from ensemble forecast information. Weather and Forecasting, 19(5), 891-906.
Mechler, R. (2016). Reviewing estimates of the economic efficiency of disaster risk management: opportunities and limitations of using risk-based cost–benefit analysis. Natural Hazards, 81(3), 2121-2147.
Medina-Cetina, Z., & Nadim, F. (2008). Stochastic design of an early warning system. Georisk, 2(4), 223-236.
Mills, A., Chen, R., Lee, J., & Raghav Rao, H. (2009). Web 2.0 emergency applications: How useful can Twitter be for emergency response? Journal of Information Privacy and Security, 5(3), 3-26.
Morris, A., Kortenhaus, A., & Visser, P. J. (2009). Modelling breach initiation and growth. Executive summary.
Ocal, A. (2019). Natural disasters in Turkey: Social and economic perspective. International Journal of Disaster Risk Management, 1(1), 51-61.
Öcal, A., Cvetković, V. M., Baytiyeh, H., Tedim, F. M. S., & Zečević, M. (2020). Public reactions to the disaster COVID-19: a comparative study in Italy, Lebanon, Portugal, and Serbia. Geomatics, Natural Hazards and Risk, 11(1), 1864-1885.
Osanai, N., Shimizu, T., Kuramoto, K., Kojima, S., & Noro, T. (2010). Japanese early-warning for debris flows and slope failures using rainfall indices with Radial Basis Function Network. Landslides, 7(3), 325-338.
Paleologue, A. (2005, May). Early warning satellites in Russia: What past, what state today, what future?. In Modeling, Simulation, and Verification of Space-based Systems II (Vol. 5799, pp. 146-157). International Society for Optics and Photonics.
Pengel, B. E., Krzhizhanovskaya, V. V., Melnikova, N. B., Shirshov, G. S., Koelewijn, A. R., Pyayt, A. L., & Mokhov, II. (2013). Flood early warning system: sensors and internet. IAHS Red Book, 357, 445-453.
Perera, C., Jayasooriya, D., Jayasiri, G., Randil, C., Bandara, C., Siriwardana, C., Kamalrathne, T. (2020). Evaluation of gaps in early warning mechanisms and evacuation procedures for coastal communities in Sri Lanka. International journal of disaster resilience in the built environment.
Piciullo, L., Calvello, M., & Cepeda, J. M. (2018). Territorial early warning systems for rainfall-induced landslides. Earth-Science Reviews, 179, 228-247.
Podvig, P. (2002). History and the current status of the Russian early-warning system. Science and global security, 10(1), 21-60.
Rai, R. K., van den Homberg, M. J. C., Ghimire, G. P., & McQuistan, C. (2020). Cost-benefit analysis of flood early warning system in the Karnali River Basin of Nepal. International journal of disaster risk reduction, 47, 101534.
Rogers, D., & Tsirkunov, V. (2011). Implementing hazard early warning systems. Global Facility for Disaster Reduction and Recovery, 11, 1-47.
Rudloff, A., Lauterjung, J., Münch, U., & Tinti, S. (2009). Preface" The GITEWS Project (German-Indonesian Tsunami Early Warning System)". Natural Hazards and Earth System Sciences, 9(4), 1381-1382.
Sättele, M. (2015). Quantifying the reliability and effectiveness of early warning systems for natural hazards (Doctoral dissertation, Technische Universität München).
Sättele, M., Bründl, M., & Straub, D. (2016). Quantifying the effectiveness of early warning systems for natural hazards. Natural Hazards and Earth System Sciences, 16(1), 149-166.
Sharma, B. N., Jokhan, A. D., Kumar, R., Finiasi, R. W., Chand, S., & Rao, V. (2015). Use of short message service for learning and student support in the Pacific region. In: Springer.
SKYE (2013). Hydrological observations, Finnish Environment Institute, URL http://www., last accessed: 2013
Sorensen, J. H. (2000). Hazard warning systems: Review of 20 years of progress. Natural Hazards Review, 1(2), 119-125.
Tang, X. and Y, Zou, 2009: Overview of Shanghai MHEWS and the Role of NMHS. Second Experts’ Symposium on MHEWSs with focus on the Role of NMHSs, 5-7 May 2009, Toulouse, France.
Thennavan, E., Ganapathy, G., Chandrasekaran, S., & Rajawat, A. (2020). Probabilistic rainfall thresholds for shallow landslides initiation – A case study from The Nilgiris district, Western Ghats, India. International Journal of Disaster Risk Management, 2(1), 1-14.
Thomalla, F., & Larsen, R. K. (2010). Resilience in the context of tsunami early warning systems and community disaster preparedness in the Indian Ocean region. Environmental Hazards, 9(3), 249-265.
Tiranti, D., & Rabuffetti, D. (2010). Estimation of rainfall thresholds triggering shallow landslides for an operational warning system implementation. Landslides, 7(4), 471-481.
Toya, H., & Skidmore, M. (2018). Cellular telephones and natural disaster vulnerability. Sustainability, 10(9), 2970.
UNISDR (2012). Terminology. UNISDR (United Nations International Strategy for Disaster Risk Reduction, 2004), Geneva. Available from: Accessed 23 July 2021.
UNISDR (United Nations International Strategy for Disaster Reduction) (2005). Hyogo framework for action 2005–2015: Building the resilience of nations and communities to disasters. Available from: Accessed 23 July 2021.
Villagrán de León, J. C., Pruessner, I., & Breedlove, H. (2013). Alert and warning frameworks in the context of early warning systems.
Yang, J., Zhang, H., Wang, C., & Tang, D. (2018). Research on disaster early warning and disaster relief integrated service system based on block data theory. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 42, 3.