AIMC Topic: Floods

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Flood discharge prediction using improved ANFIS model combined with hybrid particle swarm optimisation and slime mould algorithm.

Environmental science and pollution research international Jun 23, 2023
Due to the disastrous socio-economic impacts of flood hazards and estimated rise of its occurrences in the near future, there has been an increase in the importance of flood prediction worldwide. Artificial intelligence (AI) models have contributed s...
Fuzzy Logic Floods Algorithms Artificial Intelligence Neural Networks, Computer
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Bipolar intuitionistic fuzzy graph based decision-making model to identify flood vulnerable region.

Environmental science and pollution research international Jun 5, 2023
Bipolar intuitionistic fuzzy graphs (BIFG) are an extension of fuzzy graphs that can effectively capture uncertain or imprecise information in various applications. In graph theory, the covering, matching, and domination problems are benchmark concep...
Floods Uncertainty Fuzzy Logic India
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Deep learning enables super-resolution hydrodynamic flooding process modeling under spatiotemporally varying rainstorms.

Water research May 6, 2023
Real-time information on flooding extent, severity, and duration is necessary for effective metropolitan flood emergency management. Existing pluvial flood analysis methods are unable to simulate real-time regional flooding processes under spatiotemp...
Deep Learning Floods Hong Kong Models, Theoretical Hydrodynamics
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Enhanced rainfall prediction performance via hybrid empirical-singular-wavelet-fuzzy approaches.

Environmental science and pollution research international Mar 28, 2023
Rainfall is a vital process in the hydrological cycle of the globe. Accessing reliable and accurate rainfall data is crucial for water resources operation, flood control, drought warning, irrigation, and drainage. In the present study, the main objec...
Hydrology Water Resources Fuzzy Logic Floods Forecasting
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A new rainfall prediction model based on ICEEMDAN-WSD-BiLSTM and ESN.

Environmental science and pollution research international Mar 1, 2023
Precipitation, as an important indicator describing the evolution of the regional climate system, plays an important role in understanding the spatial and temporal distribution characteristics of regional precipitation. Scientific and accurate predic...
Weather Climate Forecasting Rain Droughts Floods Neural Networks, Computer
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Coupling machine learning with signal process techniques and particle swarm optimization for forecasting flood routing calculations in the Eastern Black Sea Basin, Türkiye.

Environmental science and pollution research international Jan 30, 2023
With the effect of global warming, the frequency of floods, one of the most important natural disasters, increases, and this increases the damage it causes to people and the environment. Flood routing models play an important role in predicting flood...
Humans Forecasting Floods Machine Learning Black Sea
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Urban Flooding Prediction Method Based on the Combination of LSTM Neural Network and Numerical Model.

International journal of environmental research and public health Jan 6, 2023
At present, urban flood risk analysis and forecasting and early warning mainly use numerical models for simulation and analysis, which are more accurate and can reflect urban flood risk well. However, the calculation speed of numerical models is slow...
Forecasting Artificial Intelligence Floods Neural Networks, Computer Risk Assessment
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An Integrated Artificial Intelligence of Things Environment for River Flood Prevention.

Sensors (Basel, Switzerland) Dec 5, 2022
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. Organizations are investing heavily in research to find more efficient ...
Floods Environment, Controlled Disasters Artificial Intelligence Rivers Humans
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A novel framework for addressing uncertainties in machine learning-based geospatial approaches for flood prediction.

Journal of environmental management Nov 23, 2022
Globally, many studies on machine learning (ML)-based flood susceptibility modeling have been carried out in recent years. While majority of those models produce reasonably accurate flood predictions, the outcomes are subject to uncertainty since flo...
Floods Uncertainty Machine Learning Algorithms Neural Networks, Computer
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Unraveling the complexities of urban fluvial flood hydraulics through AI.

Scientific reports Nov 4, 2022
As urbanization increases across the globe, urban flooding is an ever-pressing concern. Urban fluvial systems are highly complex, depending on a myriad of interacting variables. Numerous hydraulic models are available for analyzing urban flooding; ho...
Water Floods Neural Networks, Computer Support Vector Machine Artificial Intelligence
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