Innovative solutions for flood risk management


  • Vladimir M. Cvetkovic The University of Belgrade, Faculty of Security Studies, Gospodara Vučića 50, Belgrade, Serbia; International Institute for Disaster Research, Dimitrija Tucovića 121, 11056 Belgrade, Serbia; Scientific-Professional Society for Disaster Risk Management, Dimitrija Tucovića 121, 11056 Belgrade, Serbia.
  • Jovana Martinović International Institute for Disaster Research, Dimitrija Tucovića 121, 11056 Belgrade, Serbia; Scientific-Professional Society for Disaster Risk Management, Dimitrija Tucovića 121, 11056 Belgrade, Serbia.



disasters, floods, risk management, innovative solutions, review, DAREnet


Starting from the importance of innovative solutions for improving the needs of different practitioners as flood risk managers, the purpose of this review was to describe and analyze, evaluates, and prioritizes the various available different innovative solutions that have sufficient potential to be useful and used by practitioners. A systematic review of the literature was conducted using the DAREnet knowledge base (an integral feature of the DAREnet online community platform) which identified critical challenges for flood management and the relevant field or source of innovation, as well as the current scientific literature in the field of disaster studies. A fourth stage selection procedure identified candidate original or review papers and evaluated the degree to which papers met predetermined requirements for inclusion extracted from prior systematic reviews. Included in the study were over 100 studies that met the requirements for predetermined inclusion. The findings of this review showed that there is a huge untapped potential for innovative solutions in the field of prevention, preparedness, civil protection, communication, cooperation, etc. The findings of this review contribute to a growing body of knowledge regarding innovative solutions for flood risk management useful for practitioners.

Author Biography

Vladimir M. Cvetkovic, The University of Belgrade, Faculty of Security Studies, Gospodara Vučića 50, Belgrade, Serbia; International Institute for Disaster Research, Dimitrija Tucovića 121, 11056 Belgrade, Serbia; Scientific-Professional Society for Disaster Risk Management, Dimitrija Tucovića 121, 11056 Belgrade, Serbia.

Vladimir M. Cvetkovic is the Assis. Prof. (Disaster Risk Management) at the University of Belgrade, Faculty of Security, and has been engaged in research in the field of disaster studies for 15 years. He has published over 250 research papers and 20 scientific monographs. He is the founder of the Scientific Professional Society for Disaster Risk Management in Serbia, the International Institute for Disaster Research, and Editor-in-Chief of the International Journal of Disaster Risk Management.


Abunyewah, M., Gajendran, T., Maund, K., & Okyere, S. A. (2020) Strengthening the information deficit model for disaster preparedness: Mediating and moderating effects of community participation. International journal of disaster risk reduction, 46, 101492.

Adeniyi, O., Perera, S., Ginige, K., & Feng, Y. (2019). Developing maturity levels for flood resilience of businesses using built environment flood resilience capability areas. Sustainable Cities and Society, 51, 101778.

Afriyanie, D., Julian, M. M., Riqqi, A., Akbar, R., Suroso, D. S., & Kustiwan, I. (2020) Re-framing urban green spaces planning for flood protection through socio-ecological resilience in Bandung City, Indonesia. Cities, 101, 102710.

Aleksandrina, M., Budiarti, D., Yu, Z., Pasha, F., & Shaw, R. (2019). Governmental Incentivization for SMEs’ Engagement in Disaster Resilience in Southeast Asia. International Journal of Disaster Risk Management, 1(1), 32-50.

Alexy, O., & Dahlander, L. (2013). Managing open innovation. In The Oxford Handbook of Innovation Management (pp. 442-461): OUP Oxford.

Álvarez, X., Gómez-Rúa, M., & Vidal-Puga, J. (2019). River flooding risk prevention: A cooperative game theory approach. Journal of environmental management, 248, 109284.

Alves, A., Vojinovic, Z., Kapelan, Z., Sanchez, A., & Gersonius, B. (2020) Exploring trade-offs among the multiple benefits of green-blue-grey infrastructure for urban flood mitigation. Science of the Total Environment, 703, 134980.

Banerski, G., Abramczuk, K., & Biele, C. (2020) 3D or not 3D? Evaluation of the effectiveness of 3D-enhanced warning messages for communication in crisis situations. Safety Science, 132, 104961.

Berariu, R., Fikar, C., Gronalt, M., & Hirsch, P. (2016). Training decision-makers in flood response with system dynamics. Disaster Prevention and Management.

Berkhahn, S., Fuchs, L., & Neuweiler, I. (2019). An ensemble neural network model for real-time prediction of urban floods. Journal of hydrology, 575, 743-754.

Boukerche, A., & Coutinho, R. W. (2018, June). Smart disaster detection and response system for smart cities. In 2018 IEEE Symposium on Computers and Communications (ISCC) (pp. 01102-01107). IEEE.

Brand, M. W., Kerby, D., Elledge, B., Burton, T., Coles, D., & Dunn, A. (2008). Public health's response: citizens' thoughts on volunteering. Disaster Prevention and Management, 17(1), 54-61. doi:10.1108/09653560810855874

Brody, S. D., & Highfield, W. E. (2013). Open space protection and flood mitigation: A national study. Land use policy, 32, 89-95.

Brown, R. (1993). Natural Disaster Survey Report Hurricane, september 6 - 13,1992. National Oceanic and Atmospheric Administration. New York: Oxford Press.

Bullemer, P. T., Tolsma, M., Reising, D. V. C., & Laberge, J. C. (2011). Towards improving operator alarm flood responses: Alternative alarm presentation techniques. Abnormal Situation Management Consortium.

Cantoni, F., Mori, E., Veneziani, R., & Zuffada, E. (2020) Strengthening resilience through participatory development of “life and social skills” in flood management. City, Culture and Society, 22, 100358.

Chapman, D. (1999). Natural Hazards. New York: Oxford: Oxford University Press.

Charalambous, K., Bruggeman, A., Giannakis, E., & Zoumides, C. (2018). Improving public participation processes for the Floods directive and flood awareness: Evidence from Cyprus. Water, 10(7), 958.

Convertino, M., Annis, A., & Nardi, F. (2019). Information-theoretic portfolio decision model for optimal flood management. Environmental Modelling & Software, 119, 258-274.

Costache, R., Popa, M. C., Bui, D. T., Diaconu, D. C., Ciubotaru, N., Minea, G., & Pham, Q. B. (2020) Spatial predicting of flood potential areas using novel hybridizations of fuzzy decision-making, bivariate statistics, and machine learning. Journal of Hydrology, 124808.

Coughlan de Perez, E., Stephens, E., Bischiniotis, K., Van Aalst, M., Van Den Hurk, B., Mason, S., & Pappenberger, F. (2017). Should seasonal rainfall forecasts be used for flood preparedness?. Hydrology and Earth System Sciences, 21(9), 4517-4524.

Cristiano, E., Urru, S., Farris, S., Ruggiu, D., Deidda, R., & Viola, F. (2020) Analysis of potential benefits on flood mitigation of a CAM green roof in Mediterranean urban areas. Building and Environment, 183, 107179.

Crow, D. A., & Albright, E. A. (2019). Intergovernmental relationships after disaster: state and local government learning during flood recovery in Colorado. Journal of Environmental Policy & Planning, 21(3), 257-274.

Cvetković, V. (2018). Percepcija javnosti o pripremljenosti za biosferske katastrofe izazvane epidemijama: implikacije na proces upravljanja rizicima. Bezbednost, 60(3), 5-25. doi:10.5937/bezbednost1803005C

Cvetković, V. (2019). Upravljanje rizicima i sistemi zaštite i spasavanja od katastrofa. Beograd: Naučno-stručno društvo za upravljanje rizicima u vanrednim situacijama.

Cvetković, V. (2020). Upravljanje rizicima u vanrednim situacijama (Disaster Risk Management). Beograd: Naučno-stručno društvo za upravljanje rizicima u vanrednim situacijama.

Cvetkovic, V. M. (2019). Risk Perception of Building Fires in Belgrade. International Journal of Disaster Risk Management, 1(1), 81-91.

Cvetković, V. M., & Filipović, M. (2018). Ispitivanje uloge porodice u edukaciji dece o prirodnim katastrofama (The role of the family in children education of natural disasters). Nauka, bezbednost, policija, 23(1), 71-85.

Cvetković, V. M., Roder, G., Öcal, A., Tarolli, P., & Dragićević, S. (2018). The role of gender in preparedness and response behaviors towards flood risk in Serbia. International journal of environmental research and public health, 15(12), 2761.

Cvetković, V. M., Roder, G., Öcal, A., Tarolli, P., & Dragićević, S. (2018). The Role of Gender in Preparedness and Response Behaviors towards Flood Risk in Serbia. International Journal of Environmental Research and Public Health, 15(12), 2761.

Cvetković, V., & Janković, B. (2020). Private security preparedness for disasters caused by natural and anthropogenic hazards. International Journal of Disaster Risk Management, 2(1), 23-33.

Cvetković, V., Milašinović, S., & Lazić, Ž. (2018). Examination of citizens’ attitudes towards providign support to vulnerable people and voluntereeing during disasters. Journal for social sciences, TEME, 42(1), 35-36.

Cvetković, V., Tarolli, P., Roder, G., Ivanov, A., Ronan, K., Ocam, A., & Kutub, R. (2017). Citizens education about floods: a Serbian case study. Paper presented at the VII International scientific conference Archibald Reiss days.

Das, S. (2019). Geospatial mapping of flood susceptibility and hydro-geomorphic response to the floods in Ulhas basin, India. Remote Sensing Applications: Society and Environment, 14, 60-74.

Dass-Brailsford, P., Thomley, R., & de Mendoza, A. H. (2011). Paying it forward: The transformative aspects of volunteering after Hurricane Katrina. Traumatology, 17(1), 29.

De Boer, J., Wouter Botzen, W. J., & Terpstra, T. (2014). Improving flood risk communication by focusing on prevention‐focused motivation. Risk analysis, 34(2), 309-322.

De Leeuw, S., Vis, I. F., & Jonkman, S. N. (2012). Exploring logistics aspects of flood emergency measures. Journal of Contingencies and Crisis Management, 20(3), 166-179.

Degiorgis, M., Gnecco, G., Gorni, S., Roth, G., Sanguineti, M., & Taramasso, A. C. (2012). Classifiers for the detection of flood-prone areas using remote sensed elevation data. Journal of hydrology, 470, 302-315.

Demeritt, D., & Nobert, S. J. E. H. (2014). Models of best practice in flood risk communication and management. 13(4), 313-328.

Demir, I., Yildirim, E., Sermet, Y., & Sit, M. A. (2018). FLOODSS: Iowa flood information system as a generalized flood cyberinfrastructure. International journal of river basin management, 16(3), 393-400.

Dersingh, A. (2016, January). Design and development of a flood warning system via mobile and computer networks. In 2016 International Conference on Electronics, Information, and Communications (ICEIC) (pp. 1-4). IEEE.

Dong, S., Yu, T., Farahmand, H., & Mostafavi, A. (2020) Probabilistic modeling of cascading failure risk in interdependent channel and road networks in urban flooding. Sustainable Cities and Society, 62, 102398.

Dragićević, S., Filipović, D., Kostadinov, S., Nikolić, J., & Stojanović, B. (2009). Zaštita od prirodnih nepogoda i tehnoloških udesa – Strategija prostornog razvoja Republike Srbije. Beograd: Univerzitet u Beogradu, Geografski fakultet.

Driessen, P. P., Hegger, D. L., Kundzewicz, Z. W., Van Rijswick, H. F., Crabbé, A., Larrue, C., & Raadgever, G. T. (2018). Governance strategies for improving flood resilience in the face of climate change. Water, 10(11), 1595.

Du, S., Wang, C., Shen, J., Wen, J., Gao, J., Wu, J., & Xu, H. (2019). Mapping the capacity of concave green land in mitigating urban pluvial floods and its beneficiaries. Sustainable Cities and Society, 44, 774-782.

Dufty, N. (2008). A new approach to community flood education. Australian Journal of Emergency Management, The, 23(2), 4.

Dzulkarnain, A., Suryani, E., & Aprillya, M. R. (2019). Analysis of Flood Identification and Mitigation for Disaster Preparedness: A System Thinking Approach. Procedia Computer Science, 161, 927-934.

Edward, B. (2005). Natural hazards. New York: Cambridge University Press.

Eijgenraam, C., Brekelmans, R., den Hertog, D., & Roos, K. (2017). Optimal strategies for flood prevention. Management Science, 63(5), 1644-1656.

Estrela, V. V., Hemanth, J., Saotome, O., Grata, E. G., & Izario, D. R. (2017, December). Emergency response cyber-physical system for flood prevention with sustainable electronics. In Brazilian Technology Symposium (pp. 319-328). Springer, Cham.

Ety, N. J., Chu, Z., & Masum, S. M. (2020) Monitoring of flood water propagation based on microwave and optical imagery. Quaternary International.

Ezemonye, M. N., & Emeribe, C. N. (2014). Flooding and household preparedness in Benin City, Nigeria. Mediterranean Journal of Social Sciences, 5(1), 547.

Fang, Z., Wang, Y., Peng, L., & Hong, H. (2020) Predicting flood susceptibility using long short-term memory (LSTM) neural network model. Journal of Hydrology, 125734.

Feng, Y., Brenner, C., & Sester, M. (2020) Flood severity mapping from Volunteered Geographic Information by interpreting water level from images containing people: A case study of Hurricane Harvey. ISPRS Journal of Photogrammetry and Remote Sensing, 169, 301-319.

Fernández-Montblanc, T., Duo, E., & Ciavola, P. (2020) Dune reconstruction and revegetation as a potential measure to decrease coastal erosion and flooding under extreme storm conditions. Ocean & Coastal Management, 105075.

Flint, C., & Brennan, M. (2006). Community emergency response teams: From disaster responders to community builders. Rural realities, 1(3), 1-9.

Forbes, K. F., & Zampelli, E. M. (2014). Volunteerism: The influences of social, religious, and human capital. Nonprofit and voluntary sector quarterly, 43(2), 227-253.

Gazley, B., & Brudney, J. L. (2005). Volunteer involvement in local government after September 11: The continuing question of capacity. Public Administration Review, 65(2), 131-142.

Gevorkov, L., Rassõlkin, A., Kallaste, A., & Vaimann, T. (2019, October). Flood Prevention Through Condition Monitoring of Pumping Stations. In 2019 IEEE 60th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON) (pp. 1-5). IEEE.

Gilliland, A. E., Pieper, K., Straif-Bourgeois, S., Rhoads, W. J., Dai, D., Edwards, M., & Katner, A. (2020) Evaluation of Preparedness and Recovery Needs of Private Well Users After the Great Louisiana Flood of 2016. Journal of Public Health Management and Practice.

González, C. G. F. (2005). Risk Management of Natural Disasters: The Example of Mexico: Univ.-Verlag Karlsruhe.

Goodarzi, L., Banihabib, M. E., & Roozbahani, A. (2019). A decision-making model for flood warning system based on ensemble forecasts. Journal of Hydrology, 573, 207-219.

Guerriero, R., & Penning-Rowsell, E. C. Innovation in flood risk management: An ‘Avenues of Innovation’ analysis. n/a(n/a), e12677.

Gupta, K., & Nikam, V. (2014). Technological and innovative measures to improve flood disaster recovery following Mumbai 2005 Mega-flood. In Disaster Recovery (pp. 287-297). Springer, Tokyo.

Gupta, S., Malhotra, V., & Vashisht, V. (2020, January). Water Irrigation and Flood Prevention using IOT. In 2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence) (pp. 260-265). IEEE.

Haddow, G., Bullock, J., & Coppola, D. P. (2007). Introduction to Emergency Management. New York: Butterworth-Heinemann.

Hadid, B., Duviella, E., Chiron, P., & Archimède, B. (2019). A flood mitigation control strategy based on the estimation of hydrographs and volume dispatching. IFAC-PapersOnLine, 52(23), 17-22.

Haer, T., Botzen, W. W., & Aerts, J. C. (2016). The effectiveness of flood risk communication strategies and the influence of social networks—Insights from an agent-based model. Environmental Science & Policy, 60, 44-52.

Haghighatafshar, S., Nordlöf, B., Roldin, M., Gustafsson, L. G., la Cour Jansen, J., & Jönsson, K. (2018). Efficiency of blue-green stormwater retrofits for flood mitigation–Conclusions drawn from a case study in Malmö, Sweden. Journal of environmental management, 207, 60-69.

Handmer, J. (2001). Improving flood warnings in Europe: a research and policy agenda. Global Environmental Change Part B: Environmental Hazards, 3(1), 19-28.

Haque, C. E. (2005). Mitigation of natural hazards and disasters: international perspectives (Vol. 371): Springer.

Hijji, M., Amin, S., Iqbal, R., & Harrop, W. (2015). The significance of using" expert system" to assess the preparedness of training capabilities against different flash flood scenarios. Lecture Notes on Software Engineering, 3(3), 214.

Hijji, M., Amin, S., Iqbal, R., & Harrop, W. (2015). The significance of using" expert system" to assess the preparedness of training capabilities against different flash flood scenarios. Lecture Notes on Software Engineering, 3(3), 214.

Hostache, R., Chini, M., Giustarini, L., Neal, J., Kavetski, D., Wood, M., & Matgen, P. (2018). Near‐real‐time assimilation of SAR‐derived flood maps for improving flood forecasts. Water Resources Research, 54(8), 5516-5535.

Houle, B. J., Sagarin, B. J., & Kaplan, M. F. (2005). A functional approach to volunteerism: Do volunteer motives predict task preference? Basic and Applied Social Psychology, 27(4), 337-344.

Hu, M., Zhang, X., Li, Y., Yang, H., & Tanaka, K. (2019). Flood mitigation performance of low impact development technologies under different storms for retrofitting an urbanized area. Journal of Cleaner Production, 222, 373-380.

Hu, M., Zhang, X., Li, Y., Yang, H., & Tanaka, K. (2019). Flood mitigation performance of low impact development technologies under different storms for retrofitting an urbanized area. Journal of Cleaner Production, 222, 373-380.

Hu, R., Fang, F., Pain, C. C., & Navon, I. M. (2019). Rapid spatio-temporal flood prediction and uncertainty quantification using a deep learning method. Journal of Hydrology, 575, 911-920.

Huang, C. J., Chang, Y. C., Tai, S. C., Lin, C. Y., Lin, Y. P., Fan, Y. M., & Wu, L. C. (2020) Operational monitoring and forecasting of wave run-up on seawalls. Coastal Engineering, 161, 103750.

Huang, C. L., Hsu, N. S., Liu, H. J., & Huang, Y. H. (2018). Optimization of low impact development layout designs for megacity flood mitigation. Journal of hydrology, 564, 542-558.

Hussaini, A. (2020). Environmental Planning for Disaster Risk Reduction at Kaduna International Airport, Kaduna Nigeria. International Journal of Disaster Risk Management, 2(1), 35-49.

Intrieri, E., Dotta, G., Fontanelli, K., Bianchini, C., Bardi, F., Campatelli, F., & Casagli, N. (2020) Operational framework for flood risk communication. International journal of disaster risk reduction, 46, 101510.

Intrieri, E., Dotta, G., Fontanelli, K., Bianchini, C., Bardi, F., Campatelli, F., & Casagli, N. (2020) Operational framework for flood risk communication. International journal of disaster risk reduction, 46, 101510.

Jamali, B., Bach, P. M., & Deletic, A. (2020) Rainwater harvesting for urban flood management–An integrated modelling framework. Water research, 171, 115372.

Kanakis, K., & McShane, C. (2016). Preparing for disaster: preparedness in a flood and cyclone prone community. Australian Journal of Emergency Management, The, 31(2), 18.

Kankanamge, N., Yigitcanlar, T., Goonetilleke, A., & Kamruzzaman, M. (2020) Determining disaster severity through social media analysis: Testing the methodology with South East Queensland Flood tweets. International journal of disaster risk reduction, 42, 101360.

Karunarathne, A. Y., & Lee, G. (2020) The geographies of the dynamic evolution of social networks for the flood disaster response and recovery. Applied Geography, 125, 102274.

Katuk, N., Ku‐Mahamud, K. R., Norwawi, N., & Deris, S. (2009). Web‐based support system for flood response operation in Malaysia. Disaster Prevention and Management: An International Journal.

Kaur, B. (2020). Disasters and exemplified vulnerabilities in a cramped Public Health Infrastructure in India. International Journal of Disaster Risk Management, 2(1), 15-22.

Khalid, A., & Ferreira, C. (2020) Advancing real-time flood prediction in large estuaries: iFLOOD a fully coupled surge-wave automated web-based guidance system. Environmental Modelling & Software, 104748.

Kim, J., & Lee, W. (2015). Flood inundation analysis in urban area using XP-SWMM. Journal of the Korean Geoenvironmental Society, 16(1), 29-36.

Klerk, W. J., Kanning, W., Kok, M., & Wolfert, R. (2020) Optimal planning of flood defence system reinforcements using a greedy search algorithm. Reliability Engineering & System Safety, 107344.

Kumiko, F., & 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.

Lamond, J., Bhattacharya, N., & Bloch, R. (2012). The role of solid waste management as a response to urban flood risk in developing countries, a case study analysis. WIT Transactions on Ecology and the Environment, 159, 193-204.

Lee, H., Shen, H., Noh, S. J., Kim, S., Seo, D. J., & Zhang, Y. (2019). Improving flood forecasting using conditional bias-penalized ensemble Kalman filter. Journal of Hydrology, 575, 596-611.

Li, L., Uyttenhove, P., & Van Eetvelde, V. (2020) Planning green infrastructure to mitigate urban surface water flooding risk–A methodology to identify priority areas applied in the city of Ghent. Landscape and Urban Planning, 194, 103703.

Lin, K. H. E., Khan, S., Acosta, L., Alaniz, R., & Olanya, D. (2020) The dynamism of post disaster risk communication: A cross-country synthesis. International Journal of Disaster Risk Reduction, 101556.

Liu, C. C., Shieh, M. C., Ke, M. S., & Wang, K. H. (2018). Flood prevention and emergency response system powered by google earth engine. Remote sensing, 10(8), 1283.

Liu, D., Fan, Z., Fu, Q., Li, M., Faiz, M. A., Ali, S., & Khan, M. I. (2020) Random forest regression evaluation model of regional flood disaster resilience based on the whale optimization algorithm. Journal of Cleaner Production, 250, 119468.

Lourenço, I. B., de Oliveira, A. K. B., Marques, L. S., Barbosa, A. A. Q., Veról, A. P., Magalhães, P. C., & Miguez, M. G. (2020) A framework to support flood prevention and mitigation in the landscape and urban planning process regarding water dynamics. Journal of Cleaner Production, 277, 122983.

Lu, Z., Cao, G., & La Porta, T. (2017). Teamphone: Networking smartphones for disaster recovery. IEEE Transactions on Mobile Computing, 16(12), 3554-3567.

Ludwig, T., Kotthaus, C., Reuter, C., Van Dongen, S., & Pipek, V. (2017). Situated crowdsourcing during disasters: Managing the tasks of spontaneous volunteers through public displays. International Journal of Human-Computer Studies, 102, 103-121.

Luo, L., Huang, B., Cheng, Z., & Jian, Q. (2020) Improved water management by alternating air flow directions in a proton exchange membrane fuel cell stack. Journal of Power Sources, 466, 228311.

Mano, R., A, K., & Rapaport, C. (2019). Earthquake preparedness: A Social Media Fit perspective to accessing and disseminating earthquake information. International Journal of Disaster Risk Management, 1(2), 19-31.

McLoughlin, D. (1985). A framework for integrated emergency management. Public Administration Review, 165-172.

Mei, C., Liu, J., Wang, H., Yang, Z., Ding, X., & Shao, W. (2018). Integrated assessments of green infrastructure for flood mitigation to support robust decision-making for sponge city construction in an urbanized watershed. Science of the Total Environment, 639, 1394-1407.

Mel, R. A., Viero, D. P., Carniello, L., & D’Alpaos, L. (2020) Optimal floodgate operation for river flood management: The case study of Padova (Italy). Journal of Hydrology: Regional Studies, 30, 100702.

Merz, B., Thieken, A., & Gocht, M. (2007). Flood risk mapping at the local scale: concepts and challenges. In Flood risk management in Europe (pp. 231-251): Springer.

Ming, X., Liang, Q., Xia, X., Li, D., & Fowler, H. J. (2020) Real‐time flood forecasting based on a high‐performance 2‐D hydrodynamic model and numerical weather predictions. Water Resources Research, 56(7), e2019WR025583.

Moreno, J. M., Sánchez, J. M., & Espitia, H. E. (2020) Use of computational intelligence techniques to predict flooding in places adjacent to the Magdalena River. Heliyon, 6(9), e04872.

Nazli, N. N. N. N., Sipon, S., & Radzi, H. M. (2014). Analysis of training needs in disaster preparedness. Procedia-Social and Behavioral Sciences, 140, 576-580.

Nikonorov, A., Badenko, V., Terleev, V., Togo, I., Volkova, Y., Skvortsova, O., & Mirschel, W. (2016). Use of GIS-environment under the analysis of the managerial solutions for flood events protection measures. Procedia engineering, 165, 1731-1740.

Nivolianitou, Z., Synodinou, B., & Manca, D. (2015). Flood disaster management with the use of AHP. International Journal of Multicriteria Decision Making, 5(1-2), 152-164.

O’Donnell, E. C., Lamond, J. E., & Thorne, C. R. (2018). Learning and action alliance framework to facilitate stakeholder collaboration and social learning in urban flood risk management. Environmental Science & Policy, 80, 1-8.

Ocal, A. (2019). Natural Disasters in Turkey: Social and Economic Perspective. International Journal of Disaster Risk Management, 1(1), 51-61.

Oloruntoba, R. (2005). A wave of destruction and the waves of relief: issues, challenges and strategies. Disaster Prevention and Management, 14(4), 506-521.

Örs, A. (2018). Green Infrastructure Solutions for Flood Prevention–Innovative Investment Opportunities 1. Bolyai Szemle, (1), 124-7.

Paciarotti, C., Cesaroni, A., & Bevilacqua, M. (2018). The management of spontaneous volunteers: A successful model from a flood emergency in Italy. International journal of disaster risk reduction, 31, 260-274.

Panahi, M., Jaafari, A., Shirzadi, A., Shahabi, H., Rahmati, O., Omidvar, E., & Bui, D. T. (2020) Deep learning neural networks for spatially explicit prediction of flash flood probability. Geoscience Frontiers.

Parker, D. J., & Handmer, J. W. (1998). The role of unofficial flood warning systems. Journal of contingencies crisis management, 6(1), 45-60.

Parker, D., & Fordham, M. (1996). An evaluation of flood forecasting, warning and response systems in the European Union. Water Resources Management, 10(4), 279-302.

Pathak, S. (2019). Disaster crisis communication innovations: Lessons learned from 2011 floods in Thailand. International Journal of Disaster Response and Emergency Management (IJDREM), 2(2), 1-16.

Paul J., M., Boakye, J. A., & Muliro, M. (2020) Mitigating the impacts of floods using adaptive and resilient coping strategies: The role of the emergency Livelihood Empowerment Against Poverty program (LEAP) in Ghana. Journal of Environmental Management, 270, 110809.

Paul Jr, M., Boakye, J. A., & Muliro, M. (2020) Mitigating the impacts of floods using adaptive and resilient coping strategies: The role of the emergency Livelihood Empowerment Against Poverty program (LEAP) in Ghana. Journal of Environmental Management, 270, 110809.

Perić, J., & Cvetković, V. (2019). Demographic, socio-economic and phycological perspective of risk perception from disasters caused by floods: case study Belgrade. International Journal of Disaster Risk Management, 1(2), 31-43

Petit-Boix, A., Arahuetes, A., Josa, A., Rieradevall, J., & Gabarrell, X. (2017). Are we preventing flood damage eco-efficiently? An integrated method applied to post-disaster emergency actions. Science of the total environment, 580, 873-881.

Petit-Boix, A., Sevigné-Itoiz, E., Rojas-Gutierrez, L. A., Barbassa, A. P., Josa, A., Rieradevall, J., & Gabarrell, X. (2015). Environmental and economic assessment of a pilot stormwater infiltration system for flood prevention in Brazil. Ecological engineering, 84, 194-201.

Pham, B. T., Jaafari, A., Van Phong, T., Yen, H. P. H., Tuyen, T. T., Van Luong, V., & Foong, L. K. (2020) Improved flood susceptibility mapping using a best first decision tree integrated with ensemble learning techniques. Geoscience Frontiers.

Phillips, B., & Jenkins, P. (2010). The roles of faith-based organizations after Hurricane Katrina. Geographical review, 366-385.

Phonphoton, N., & Pharino, C. (2019). Multi-criteria decision analysis to mitigate the impact of municipal solid waste management services during floods. Resources, Conservation and Recycling, 146, 106-113.

Pour, S. H., Abd Wahab, A. K., Shahid, S., & Dewan, A. (2020) Low impact development techniques to mitigate the impacts of climate-change-induced urban floods: current trends, issues and challenges. Sustainable Cities and Society, 102373.

Priyadarshinee, I., Sahoo, K., & Mallick, C. (2015). Flood prediction and prevention through wireless sensor networking (wsn): A survey. International Journal of Computer Applications, 113(9).

Rahman, M. A., Asyhari, A. T., Azad, S., Hasan, M. M., Munaiseche, C. P., & Krisnanda, M. (2019). A cyber-enabled mission-critical system for post-flood response: Exploiting TV white space as network backhaul links. IEEE Access, 7, 100318-100331.

Raza, M., Awais, M., Ali, K., Aslam, N., Paranthaman, V. V., Imran, M., & Ali, F. (2020) Establishing effective communications in disaster affected areas and artificial intelligence based detection using social media platform. Future Generation Computer Systems, 112, 1057-1069.

Rio, P., Nunu, N., & Erlan, D. (2019). The Innovation Development of Early Flash Flood Warning System Based on Digital Image Processing Through Android Smartphone. In Journal of Physic Conference Series (pp. 1-8).

Rodríguez-Espíndola, O., Albores, P., & Brewster, C. (2018). Disaster preparedness in humanitarian logistics: A collaborative approach for resource management in floods. European Journal of Operational Research, 264(3), 978-993.

Rollason, E., Bracken, L. J., Hardy, R. J., & Large, A. R. G. (2018). Rethinking flood risk communication. Natural hazards, 92(3), 1665-1686.

Sadler, J. M., Goodall, J. L., Behl, M., Bowes, B. D., & Morsy, M. M. (2020) Exploring real-time control of stormwater systems for mitigating flood risk due to sea level rise. Journal of Hydrology, 583, 124571.

Salmoral, G., Rivas Casado, M., Muthusamy, M., Butler, D., Menon, P. P., & Leinster, P. (2020) Guidelines for the Use of Unmanned Aerial Systems in Flood Emergency Response. Water, 12(2), 521.

Sanders, B. F., Schubert, J. E., Goodrich, K. A., Houston, D., Feldman, D. L., Basolo, V., & Contreras, S. (2020) Collaborative modeling with fine‐resolution data enhances flood awareness, minimizes differences in flood perception, and produces actionable flood maps. Earth's Future, 8(1), e2019EF001391.

Sanders, B. F., Schubert, J. E., Goodrich, K. A., Houston, D., Feldman, D. L., Basolo, V., & Contreras, S. (2020) Collaborative modeling with fine‐resolution data enhances flood awareness, minimizes differences in flood perception, and produces actionable flood maps. Earth's Future, 8(1), e2019EF001391.

Saravi, S., Kalawsky, R., Joannou, D., Rivas Casado, M., Fu, G., & Meng, F. (2019). Use of artificial intelligence to improve resilience and preparedness against adverse flood events. Water, 11(5), 973.

Schumann, G. J. P., Frye, S., Wells, G., Adler, R., Brakenridge, R., Bolten, J., & Wu, H. (2016). Unlocking the full potential of Earth observation during the 2015 Texas flood disaster. Water Resources Research, 52(5), 3288-3293.

Sekuła, K., Połeć, M., & Borecka, A. (2018). Innovative solutions in monitoring systems in flood protection. In E3S Web of Conferences (Vol. 30, p. 01005). EDP Sciences.

Sen, M. K., Dutta, S., & Kabir, G. (2020) Development of Flood Resilience Framework for Housing Infrastructure System: Integration of Best-Worst Method with Evidence Theory. Journal of Cleaner Production, 125197.

Sermet, Y., & Demir, I. (2019). Flood action VR: a virtual reality framework for disaster awareness and emergency response training. In ACM SIGGRAPH 2019 Posters (pp. 1-2).

Shah, A. A., Gong, Z., Ali, M., Sun, R., Naqvi, S. A. A., & Arif, M. (2020) Looking through the Lens of schools: Children perception, knowledge, and preparedness of flood disaster risk management in Pakistan. International Journal of Disaster Risk Reduction, 50, 101907.

Shah, M. A. R., Rahman, A., & Chowdhury, S. H. (2017). Sustainability assessment of flood mitigation projects: An innovative decision support framework. International journal of disaster risk reduction, 23, 53-61.

Shimokawa, S., Fukahori, H., & Gao, W. (2016). Wide-area disaster prevention of storm or flood damage and its improvement by using urban planning information system. Procedia-Social and Behavioral Sciences, 216, 481-491.

Shneid, D. (2001). Disaster Мanagement and Preparedness. USA: CRS Press LLS.

Sloand, E., Ho, G., Klimmek, R., Pho, A., & Kub, J. (2012). Nursing children after a disaster: A qualitative study of nurse volunteers and children after the Haiti earthquake. Journal for Specialists in Pediatric Nursing, 17(3), 242-253.

Son, J., & Wilson, J. (2012). Using normative theory to explain the effect of religion and education on volunteering. Sociological Perspectives, 55(3), 473-499.

Song, J., Huang, B., & Li, R. (2017). Measuring recovery to build up metrics of flood resilience based on pollutant discharge data: A case study in East China. Water, 9(8), 619.

Subandi, A., Alim, S., Haryanti, F., & Prabandari, Y. S. (2019). Training on modified model of programme for enhancement of emergency response flood preparedness based on the local wisdom of Jambi community. Jàmbá: Journal of Disaster Risk Studies, 11(1), 1-9.

Suryaman, H. (2020, July). Sustainable Flood Prevention Using Interconnection of House Pump System. In Journal of Physics: Conference Series (Vol. 1569, No. 4, p. 042027). IOP Publishing.

Tam, G., Chan, E. Y. Y., & Liu, S. (2019). Planning of a Health Emergency Disaster Risk Management Programme for a Chinese Ethnic Minority Community. International Journal of Environmental Research and Public Health, 16(6), 1046.

Tamagnone, P., Comino, E., & Rosso, M. (2020) Rainwater harvesting techniques as an adaptation strategy for flood mitigation. Journal of Hydrology, 124880.

Tammar, A., Abosuliman, S. S., & Rahaman, K. R. (2020) Social Capital and Disaster Resilience Nexus: A Study of Flash Flood Recovery in Jeddah City. Sustainability, 12(11), 4668.

Tan, X., Di, L., Deng, M., Huang, F., Ye, X., Sha, Z., & Huang, C. (2016). Agent-as-a-service-based geospatial service aggregation in the cloud: A case study of flood response. Environmental modelling & software, 84, 210-225.

Taniguchi, H., & Marshall, G. A. (2014). The effects of social trust and institutional trust on formal volunteering and charitable giving in Japan. Voluntas: International Journal of Voluntary and Nonprofit Organizations, 25(1), 150-175.

Tanwattana, P., & Toyoda, Y. (2018). Contributions of gaming simulation in building community-based disaster risk management applying Japanese case to flood prone communities in Thailand upstream area. International journal of disaster risk reduction, 27, 199-213.

Tembata, K., Yamamoto, Y., Yamamoto, M., & Matsumoto, K. I. (2020) Don't rely too much on trees: Evidence from flood mitigation in China. Science of The Total Environment, 138410.

Thaler, T., & Fuchs, S. (2020) Financial recovery schemes in Austria: How planned relocation is used as an answer to future flood events. Environmental Hazards, 19(3), 268-284.

Thaler, T., Nordbeck, R., Löschner, L., & Seher, W. (2020) Coopßeration in flood risk management: understanding the role of strategic planning in two Austrian policy instruments. Environmental Science & Policy, 114, 170-177.

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.

Tomecka-Suchoń, S. (2019). Correction to: Ground penetrating radar use in flood prevention. Acta Geophysica, 67(6), 1679-1691.

Tran, T. A., & Rodela, R. (2019). Integrating farmers’ adaptive knowledge into flood management and adaptation policies in the Vietnamese Mekong Delta: A social learning perspective. Global Environmental Change, 55, 84-96.

Tripathy, S. S., Vittal, H., Karmakar, S., & Ghosh, S. (2020) Flood risk forecasting at the weather to medium range incorporating weather model, topography, socio-economic information and land use exposure. Advances in Water Resources, 146, 103785.

Tsai, M. H., Chang, Y. L., Shiau, J. S., & Wang, S. M. (2020) Exploring the effects of a serious game-based learning package for disaster prevention education: The case of Battle of Flooding Protection. International journal of disaster risk reduction, 43, 101393.

Tyler, J., Sadiq, A. A., & Noonan, D. S. (2019). A review of the community flood risk management literature in the USA: lessons for improving community resilience to floods. Natural Hazards, 96(3), 1223-1248.

Van Alphen, J., Martini, F., Loat, R., Slomp, R., & Passchier, R. (2009). Flood risk mapping in Europe, experiences and best practices. Journal of Flood Risk Management, 2(4), 285-292.

Van Coppenolle, R., & Temmerman, S. (2019). A global exploration of tidal wetland creation for nature-based flood risk mitigation in coastal cities. Estuarine, Coastal and Shelf Science, 226, 106262.

Van Coppenolle, R., & Temmerman, S. (2020) Identifying global hotspots where coastal wetland conservation can contribute to nature-based mitigation of coastal flood risks. Global and Planetary Change, 187, 103125.

Vibhas, S., Adu, G. B., Ruiyi, Z., Anwaar, M. A., & Rajib, S. (2019). Understanding the barriers restraining effective operation of flood early warning systems. International Journal of Disaster Risk Management, 1(2), 1-17.

Vinten, A., Kuhfuss, L., Shortall, O., Stockan, J., Ibiyemi, A., Pohle, I., & May, L. (2019). Water for all: Towards an integrated approach to wetland conservation and flood risk reduction in a lowland catchment in Scotland. Journal of environmental management, 246, 881-896.

Vladimir, C., & Svrdlin, M. (2020). Vulnerability of women to the consequences of naturally caused disasters: the Svilajnac case study. Bezbednost, 62(3), 43-61.

Vuik, V., Borsje, B. W., Willemsen, P. W., & Jonkman, S. N. (2019). Salt marshes for flood risk reduction: Quantifying long-term effectiveness and life-cycle costs. Ocean & coastal management, 171, 96-110.

Wang, B., Li, G., Han, J., Zheng, Y., Liu, H., & Song, W. (2017). Study on the properties of artificial flood-prevention stone made by Yellow River silt. Construction and Building Materials, 144, 484-492.

Wang, X., Kinsland, G., Poudel, D., & Fenech, A. (2019). Urban flood prediction under heavy precipitation. Journal of Hydrology, 577, 123984.

Ward, P. J., de Ruiter, M. C., Mård, J., Schröter, K., Van Loon, A., Veldkamp, T., & Capewell, L. (2020) The need to integrate flood and drought disaster risk reduction strategies. Water Security, 11, 100070.

Waugh, D. (2001). Geography: an integrated approach. New York: Nelson Thornes.

Wu, Z., Zhou, Y., Wang, H., & Jiang, Z. (2020) Depth prediction of urban flood under different rainfall return periods based on deep learning and data warehouse. Science of The Total Environment, 716, 137077.

Xuesong, G., & 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.

Yao, C., Ye, J., He, Z., Bastola, S., Zhang, K., & Li, Z. (2019). Evaluation of flood prediction capability of the distributed Grid‐Xinanjiang model driven by weather research and forecasting precipitation. Journal of Flood Risk Management, 12, e12544.

Yoon, S., Jeong, C., & Lee, T. (2014). Flood flow simulation using CMAX radar rainfall estimates in orographic basins. Meteorological Applications, 21(3), 596-604.

Zeng, Z., Guan, D., Steenge, A. E., Xia, Y., & Mendoza-Tinoco, D. (2019). Flood footprint assessment: a new approach for flood-induced indirect economic impact measurement and post-flood recovery. Journal of Hydrology, 579, 124204.

Zhang, J., Yu, Z., Yu, T., Si, J., Feng, Q., & Cao, S. (2018). Transforming flash floods into resources in arid China. Land Use Policy, 76, 746-753.

Zhang, J.Q., Okada, N., & Tatano, H. (2006). Integrated natural disaster risk management: comprehensive and integrated model and Chinese strategy choice. Journal of natural disasters, 15(1), 29.




How to Cite

Cvetkovic, V. M., & Martinović, J. (2021). Innovative solutions for flood risk management. International Journal of Disaster Risk Management, 2(2), 71–100.

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