Floods are one of the most lethal natural disasters. It is crucial to forecast timing and evolution these events create an advanced warning system allow for proper implementation preventive measures. This work introduced a new graph-based forecasting model, namely, graph neural network sample aggregate (GNN-SAGE), estimate river flooding. then validated proposed model in Humber River watershed ...

This study takes our country's unified construction of rapid response system of food safety as the goal, regarding the model of early warning of food safety as the breakthrough point, combined with the analysis of the features of the early warning of the network, exploring the integrated ideas of the early forecast and early warning system of food safety information in China, so as to construct...

An early warning flood forecasting system that uses machine-learning models can be utilized for saving lives from floods, which are now exacerbated due to climate change. Flood is carried out by determining the river discharge and water level using hydrologic at target sites. If forecasted reach dangerous levels, sends messages residents in flood-prone areas. In past, hybrid Long Short-Term Mem...

Flooding is a growing problem in the UK. It has a significant effect on residents, businesses and commuters in flood-prone areas. The cost of damage caused by flooding correlates closely with the warning time given before a flood event, and this makes flood monitoring and prediction critical to minimizing the cost of flood damage. This paper describes a wireless sensor network for flood warning...

Flooding is a growing problem in the UK. It has a significant effect on residents, businesses and commuters in flood-prone areas. The cost of damage caused by flooding correlates closely with the warning time given before a flood event, and this makes flood monitoring and prediction critical to minimizing the cost of flood damage. This paper describes a wireless sensor network for flood warning...

This case study of Dagupan City illustrates the significance of setting up and operationalizing an early warning system and evacuation plan for flood to draw people together in pursuit of collective action towards building safe and resilient communities.

Abstract. Google's operational flood forecasting system was developed to provide accurate real-time warnings agencies and the public with a focus on riverine floods in large, gauged rivers. It became 2018 has since expanded geographically. This consists of four subsystems: data validation, stage forecasting, inundation modeling, alert distribution. Machine learning is used for two subsystems. S...

We present a prototype of the flood early warning system (EWS) developed within the UrbanFlood FP7 project. The system monitors sensor networks installed in flood defenses (dikes, dams, embankments, etc.), detects sensor signal abnormalities, calculates dike failure probability, and simulates possible scenarios of dike breaching and flood propagation. All the relevant information and simulation...

BACKGROUND Flood preparedness empowers the community to respond effectively to related hazards. However, there was no research done in the country concerning household flood preparedness. Therefore, the aim of this study was to assess household flood preparedness and associated factors in the flood-prone community of Dembia district, northwest Ethiopia. METHODS A community-based cross-section...