Advanced Search

Indexed by SCI、CA、РЖ、PA、CSA、ZR、etc .

Volume 37 Issue 5
Oct 2026
Turn off MathJax
Article Contents
Sidong Zeng, Fangqiang Wei, Chaojun Ouyang, Qiao Chen, Xuerui Zhang, Danhua Zhai, Hong Du, Hayley J. Fowler, Jun Xia. Optimization of Flash Flood Monitoring and Early Warning Paradigm. Journal of Earth Science, 2026, 37(5): 2481-2485. doi: 10.1007/s12583-026-0623-0
Citation: Sidong Zeng, Fangqiang Wei, Chaojun Ouyang, Qiao Chen, Xuerui Zhang, Danhua Zhai, Hong Du, Hayley J. Fowler, Jun Xia. Optimization of Flash Flood Monitoring and Early Warning Paradigm. Journal of Earth Science, 2026, 37(5): 2481-2485. doi: 10.1007/s12583-026-0623-0

Optimization of Flash Flood Monitoring and Early Warning Paradigm

doi: 10.1007/s12583-026-0623-0
More Information
  • Corresponding author: Fangqiang Wei, fqwei@cigit.ac.cn; Jun Xia, xiajun666@whu.edu.cn
  • Received Date: 24 May 2026
  • Accepted Date: 26 Jul 2026
  • Available Online: 19 Oct 2026
  • Issue Publish Date: 30 Oct 2026
  • Conflict of Interest
    The authors declare that they have no conflict of interest.
  • loading
  • 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
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(1)

    Article Metrics

    Article views(17) PDF downloads(1) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return