A COMPREHENSIVE REVIEW OF EMERGING TECHNOLOGIES FOR FLASH FLOOD PREDICTION INCLUDING: AI, ML, IoT APPROACHES
DOI:
https://doi.org/10.30890/2709-2313.2024-32-00-012Keywords:
lash floods, artificial intelligence-machine learning, Internet of Things, cloud computing, susceptibility predictions, early warningsAbstract
There is increasing interest in the use of smart technologies for hazard management, yet few studies have explored the trends of these technologies in the context of flash floods. This study examines the application of innovative technologies, including aMetrics
References
Wang, X.; Gourbesville, P.; Liu, C. Flash Floods: Forecasting, Monitoring and Mitigation Strategies. Water 2023, 15, 1700.
Mudashiru, R.B.; Sabtu, N.; Abustan, I.; Balogun, W. Flood hazard mapping methods: A review. J. Hydrol. 2021, 603, 126846.
Islam, R.; Chowdhury, P. Local-scale Flash Flood Susceptibility Assessment in Northeastern Bangladesh using Machine Learning Algorithms. Environ. Chall. 2024, 14, 100833.
Cloke, H.L.; Pappenberger, F. Ensemble flood forecasting: A review. J. Hydrol. 2009, 375, 613–626.
Agonafir, C.; Lakhankar, T.; Khanbilvardi, R.; Krakauer, N.; Radell, D.; Devineni, N. A review of recent advances in urban flood research. Water Secur. 2023, 19, 100141.
Hakim, D.K.; Gernowo, R.; Nirwansyah, A.W. Flood prediction with time series data mining: Systematic review. Nat. Hazards Res. 2024, 4, 194–220.
Iqbal, U.; Perez, P.; Li, W.; Barthelemy, J. How computer vision can facilitate flood management: A systematic review. Int. J. Disaster Risk Reduct. 2021, 53, 102030.
Zounemat-Kermani, M.; Batelaan, O.; Fadaee, M.; Hinkelmann, R. Ensemble machine learning paradigms in hydrology: A review. J. Hydrol. 2021, 598, 126266.
Rathnasiri, P.; Adeniyi, O.; Thurairajah, N. Data-driven approaches to built environment flood resilience: A scientometric and critical review. Adv. Eng. Inform. 2023, 57, 102085.
Son, C.H.; Lee, C.H.; Ban, Y.U. Analysis of the impact and moderating effect of high-density development on urban flooding. Heliyon 2023.
Munawar, H.S.; Hammad, A.W.A.; Waller, S.T. A review on flood management technologies related to image processing and machine learning. Autom. Constr. 2021, 132, 103916.
Kavic, M.S.; Lanzafame, R.J. Artificial Intelligence and Scientific Publication. Jsls 2024, 28, e2024.00006. [CrossRef] [PubMed]
Nakhaei, M.; Nakhaei, P.; Gheibi, M.; Chahkandi, B.;Wacławek, S.; Behzadian, K.; Chen, A.S.; Campos, L.C. Enhancing community resilience in arid regions: A smart framework for flash flood risk assessment. Ecol. Indic. 2023, 153, 110457.
Alasali, F.; Tawalbeh, R.; Ghanem, Z.; Mohammad, F.; Alghazzawi, M. A Sustainable Early Warning System Using Rolling Forecasts Based on ANN and Golden Ratio Optimization Methods to Accurately Predict Real-Time Water Levels and Flash Flood. Sensors 2021, 21, 4598.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Authors
This work is licensed under a Creative Commons Attribution 4.0 International License.