Depth prediction of urban flood under different rainfall return periods based on deep learning and data warehouse

Z Wu, Y Zhou, H Wang, Z Jiang - Science of The Total Environment, 2020 - Elsevier
With the global climate change and the rapid urbanization process, there is an increase in
the risk of urban floods. Therefore, undertaking risk studies of urban floods, especially the …

Big Data of Urban Waterlogging Public Opinion Monitoring and Early Warning Method Detection

H Yang, Y Wang, N Jaber - International Conference on Cognitive based …, 2022 - Springer
The occurrence of waterlogging disaster has brought great economic losses to the society
and brought great threats to the safety of the city, people's lives and the sustainable …

Application technology of smart water information—Taking Kunming City as an example

Z Niu, B Liu, J Zhou, L Zhu - 2021 2nd International Conference …, 2021 - ieeexplore.ieee.org
Smart water affairs is an important part of my country's smart city construction, and it is also a
key development industry in my country's strategic level. Information technology has led to …

Cyber surveillance for flood disasters

SW Lo, JH Wu, FP Lin, CH Hsu - Sensors, 2015 - mdpi.com
Regional heavy rainfall is usually caused by the influence of extreme weather conditions.
Instant heavy rainfall often results in the flooding of rivers and the neighboring low-lying …

Rapid prediction of urban flood based on disaster-breeding environment clustering and Bayesian optimized deep learning model in the coastal city

H Wang, S Xu, H Xu, Z Wu, T Wang, C Ma - Sustainable Cities and Society, 2023 - Elsevier
Rapid prediction of urban flood is essential for sustainable city and society development.
The data-driven deep learning model is commonly adopted for flood prediction, but it rarely …

Rainfall weather condition prediction based on embedded system and big data financial management

T Liu - Arabian Journal of Geosciences, 2021 - Springer
This paper analyzes the practical application requirements of embedded systems. According
to the analysis, we conceive and develop a general experimental platform composed of …

Intelligent city emergency intelligence perception model based on social media big data

G Xiong - Journal of Ambient Intelligence and Humanized …, 2021 - Springer
In recent years, with the growth of urban population and the improvement of international
competitiveness, in order to reduce the adverse effects caused by emergencies and reduce …

Forecasting Flash Floods with Optimized Adaptive Neuro-Fuzzy Inference System and Internet of Things

M Pushpa Rani, B Aremu, X Fernando - Pervasive Computing and Social …, 2022 - Springer
Over the past few decades, global warming and climate change have resulted in
unpredictable floods in many regions of the world, which has the potential to cause a wide …

An integrated information system for snowmelt flood early-warning based on internet of things

S Fang, L Xu, Y Zhu, Y Liu, Z Liu, H Pei, J Yan… - Information Systems …, 2015 - Springer
Floods and water resource management are major challenges for human in present and the
near future, and snowmelt floods which usually break out in arid or semi-arid regions often …

Flood Monitoring and Alerting System for Low Lying Urban Areas

SP Reddy, TR Vinay, K Manasa… - … 2020, Volume 1, 2021 - books.google.com
The temporary overflow of water onto land which is usually dry is known as flooding. It
occurs in almost all types from ephemeral streams to dry channels and from humid zones to …