Recent advances in internet of things solutions for early warning systems: A review

M Esposito, L Palma, A Belli, L Sabbatini, P Pierleoni - Sensors, 2022 - mdpi.com
Natural disasters cause enormous damage and losses every year, both economic and in
terms of human lives. It is essential to develop systems to predict disasters and to generate …

[HTML][HTML] Artificial intelligence for disaster risk reduction: Opportunities, challenges, and prospects

M Kuglitsch, A Albayrak, R Aquino, A Craddock… - Bulletin, 2022 - wmo.int
Artificial intelligence (AI), in particular machine learning (ML), is playing an increasingly
important role in disaster risk reduction (DRR)–from the forecasting of extreme events and …

An integrated artificial intelligence of things environment for river flood prevention

Z Boulouard, M Ouaissa, M Ouaissa, F Siddiqui… - Sensors, 2022 - mdpi.com
River floods are listed among the natural disasters that can directly influence different
aspects of life, ranging from human lives, to economy, infrastructure, agriculture, etc …

Strengthening Namibia's flood early warning system through a critical gap analysis

DJ Moisès, O Kunguma - Sustainability, 2022 - mdpi.com
Floods are considered leading hydrometeorological disasters, which are increasing in
frequency, intensity and complexity with the evolution of climate change. Their associated …

A review on the prevention and control of flash flood hazards on a global scale: Early warning systems, vulnerability assessment, environmental, and public health …

G Al-Rawas, MR Nikoo, M Al-Wardy - International Journal of Disaster Risk …, 2024 - Elsevier
Flash floods' frequency and intensity are increasing because of climate change and their
impact on communities. This paper aimed to critically review> 100 studies about the current …

A propagation study of LoRA P2P links for IoT applications: The case of near-surface measurements over semitropical rivers

A Gutiérrez-Gómez, V Rangel, RM Edwards, JG Davis… - Sensors, 2021 - mdpi.com
Internet of Things (IoT) radio networks are becoming popular in several scenarios for short-
range applications (eg, wearables and home security) and medium-range applications (eg …

Establishing a rainfall dual-threshold for flash flood early warning considering rainfall patterns in mountainous catchment, China

P Yang, Z Xu, X Yan, X Wang - Natural Hazards, 2024 - Springer
Flash flood early warning is a very effective way to reduce casualties induced by rainstorm
flash flood in mountainous area. The forecasting of flash flooding remains challenging …

Smart and innovative systems for urban flooding risk management

P Piro, MM Saleh, B Pirouz, M Turco… - … on Information and …, 2023 - ieeexplore.ieee.org
Urban flooding is a serious issue that affects cities all over the world. Thus, there is a rising
need for smart and innovative technologies to increase the control of the danger of urban …

History, causes, and trend of floods in the US: A review

R Abegaz, F Wang, J Xu - Natural Hazards, 2024 - Springer
The environment holds both valuable resources and potential dangers, with natural
disasters, particularly floods, standing out prominently as a major threat to the society …

Innovative characterization and comparative analysis of water level sensors for enhanced early detection and warning of floods

R Tawalbeh, F Alasali, Z Ghanem… - Journal of Low Power …, 2023 - mdpi.com
In considering projections that flooding will increase in the future years due to factors such
as climate change and urbanization, the need for dependable and accurate water sensors …