|
Allan, R. P., Soden, B. J., 2008. Atmospheric Warming and the Amplification of Precipitation Extremes. Science, 321(5895): 1481–1484. https://doi.org/10.1126/science.1160787 |
|
Basnyat, B., Singh, N., Roy, N., et al., 2020. Design and Deployment of a Flash Flood Monitoring IoT: Challenges and Opportunities. 2020 IEEE International Conference on Smart Computing (SMARTCOMP). September 14–17, 2020. Bologna, Italy. https://doi.org/10.1109/smartcomp50058.2020.00088 |
|
Gan, B. R., Liu, X. N., Yang, X. G., et al., 2018. The Impact of Human Activities on the Occurrence of Mountain Flood Hazards: Lessons from the 17 August 2015 Flash Flood/Debris Flow Event in Xuyong County, South-Western China. Geomatics, Natural Hazards and Risk, 9(1): 816–840. https://doi.org/10.1080/19475705.2018.1480539 |
|
Gerard, A., Martinaitis, S. M., Gourley, J. J., et al., 2021. An Overview of the Performance and Operational Applications of the MRMS and FLASH Systems in Recent Significant Urban Flash Flood Events. Bulletin of the American Meteorological Society, 102(11): E2165–E2176. https://doi.org/10.1175/bams-d-19-0273.1 |
|
Guo, L., He, B. S., Ma, M. H., et al., 2018. A Comprehensive Flash Flood Defense System in China: Overview, Achievements, and Outlook. Natural Hazards, 92(2): 727–740. https://doi.org/10.10 07/s11069-018-3221-3 doi: 10.1007/s11069-018-3221-3 |
|
Han, L., Merz, B., Nguyen, V. D., et al., 2025. Recombining Past Event Precipitation and Antecedent Catchment States Generates Unprecedented Floods. Communications Earth & Environment, 6: 692. https://doi.org/10.1038/s43247-025-02691-6 |
|
He, B. S., Li, C. Z., Yao, Q. L., et al., 2024. The Disaster-Causing Factors of the Flash Floods for the July 20th Extreme Rainstorm in Henan, China. Frontiers in Earth Science, 12: 1438421. https://doi.org/10.3389/feart.2024.1438421 |
|
Khan, M. A. R., Rouf, M. A., et al., 2025. Development of a Fog Computing-Based Real-Time Flood Prediction and Early Warning System Using Machine Learning and Remote Sensing Data. Journal of Sustainable Development and Policy, 1(1): 144–169. https://doi.org/10.63125/6y0qwr92 |
|
Ma, M. H., He, B. S., Wan, J. H., et al., 2018. Characterizing the Flash Flooding Risks from 2011 to 2016 over China. Water, 10(6): 704. https://doi.org/10.3390/w10060704 |
|
Perret, F., Cherif, I., Cherqui, F., et al., 2025. ELogUp! A Precise, Affordable and Open-Source IoT Data Logger to Scale-Up Long-Term Environmental Monitoring. HardwareX, 23: e00660. https://doi.org/10.1016/j.ohx.2025.e00660 |
|
Ren, Z. H., Sang, Y. F., Yang, M. Y., et al., 2023. Progress of Research on the Methods for the Early Warning of Mountain Flash Flood Disasters. Progress in Geography, 42(1): 185–196. https://doi.org/10.18306/dlkxjz.2023.01.015 |
|
Santos, L. B. L., Escobar-Silva, E. V., Satolo, L. F., et al., 2025. Machine Learning-Based Hydrological Models for Flash Floods: A Systematic Literature Review. Smart Construction and Sustainable Cities, 3: 21. https://doi.org/10.1007/s44268-025-00 071-9 doi: 10.1007/s44268-025-00071-9 |
|
Sanz, E., Trincado, J., Martínez, J., et al., 2024. Cloud-Based System for Monitoring Event-Based Hydrological Processes Based on Dense Sensor Network and NB-LoT Connectivity. Environmental Modelling & Software, 182: 106186 |
|
Taromideh, F., Santonastaso, G. F., Greco, R., 2025. Rainfall Nowcasting by Integrating Radar and Rain Gauge Data with Machine Learning for Ischia Island, Italy. Journal of Hydrology: Regional Studies, 58: 102273 doi: 10.1016/j.ejrh.2025.102273 |
|
Tiggeloven, T., Pfeiffer, S., Matanó, A., et al., 2025. The Role of Artificial Intelligence for Early Warning Systems: Status, Applicability, Guardrails, and Ways Forward. iScience, 28(11): 113689. https://doi.org/10.1016/j.isci.2025.113689 |
|
Wang, Y. C., Yang, C., Lan, S. L., et al., 2024. End-Edge-Cloud Collaborative Computing for Deep Learning: A Comprehensive Survey. IEEE Communications Surveys & Tutorials, 26(4): 2647–2683. https://doi.org/10.1109/comst.2024.3393230 |
|
Xu, W. T., Tang, W. J., Wang, X. K., et al., 2023. Research Progress and Development Trend of Heavy Rainfall Monitoring Techniques during Flash Flood Process. Journal of Changjiang River Scientific Research Institute, 40(4): 79 |
|
Zhai, X. Y., Guo, L., Zhang, Y. Y., 2021. Flash Flood Type Identification and Simulation Based on Flash Flood Behavior Indices in China. Science China Earth Sciences, 64(7): 1140–1154. https://doi.org/10.1007/s11430-020-9727-1 |
|
Zhang, S. H., Hu, X. J., Miao, W., et al., 2023. Analysis of the Sediment Sources of Flood Driven Erosion and Deposition in the River Channel of the Fu River Basin. International Journal of Sediment Research, 38(5): 653–661. https://doi.org/10.1016/j.ijsrc.2023.04.004 |