AIMC Topic: Floods

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Securing mobile ad hoc networks using danger theory-based artificial immune algorithm.

PloS one
A mobile ad hoc network (MANET) is a set of mobile, decentralized, and self-organizing nodes that are used in special cases, such as in the military. MANET properties render the environment of this network vulnerable to different types of attacks, in...

Polarization of dryland vegetation response to spring flood.

Journal of environmental management
Dryland vegetation plays a pivotal role in the global ecosystem and is extraordinarily sensitive to water pulses, yet it is experiencing increasingly severe flooding. Floods have both significant beneficial and detrimental effects that may trigger ex...

Formation mechanism analysis and the prediction for compound flood arising from rainstorm and tide using explainable artificial intelligence.

Journal of environmental management
The compounded effect of heavy rainfall and high tide backwater significantly exacerbate the load on urban drainage systems in coastal cities, leading to an escalating risk of compound flood disasters. The formation mechanism of compound floods is of...

Data-driven multi-hazard susceptibility and community perceptions assessment using a mixed-methods approach.

Journal of environmental management
Assessing multi-hazard susceptibility and understanding community insights are important for effective disaster risk management; however, limited research has been conducted to study these aspects together. This study uses a data-driven approach to a...

Explainable AI-based risk assessment for pluvial floods over South Korea.

Journal of environmental management
Analytic Hierarchy Process (AHP) of pluvial flood risk assessment has been widely used, incorporating multiple assessment indices. However, uncertainty assessment of expert judgement-based flood risk remains limited. This study proposes a Machine Lea...

Multiple flood vulnerability assessment approach based on fuzzy comprehensive evaluation method and coordinated development degree model.

Journal of environmental management
Flood is a serious challenge that increasingly affects the residents as well as policymakers. Flood vulnerability assessment is becoming gradually relevant in the world. The purpose of this study is to develop an approach to reveal the relationship b...

Flood forecasting within urban drainage systems using NARX neural network.

Water science and technology : a journal of the International Association on Water Pollution Research
Urbanization activity and climate change increase the runoff volumes, and consequently the surcharge of the urban drainage systems (UDS). In addition, age and structural failures of these utilities limit their capacities, and thus generate hydraulic ...

River flood prediction using fuzzy neural networks: an investigation on automated network architecture.

Water science and technology : a journal of the International Association on Water Pollution Research
Urban floods are one of the most devastating natural disasters globally and improved flood prediction is essential for better flood management. Today, high-resolution real-time datasets for flood-related variables are widely available. These data can...

Extraction of actionable information from crowdsourced disaster data.

Journal of emergency management (Weston, Mass.)
Natural disasters cause enormous damage to countries all over the world. To deal with these common problems, different activities are required for disaster management at each phase of the crisis. There are three groups of activities as follows: (1) m...