AIMC Topic: Floods

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A predictive fuzzy logic and rule-based control approach for practical real-time operation of urban stormwater storage system.

Water research Sep 12, 2024
Predictive real-time control (RTC) strategies are usually more effective than reactive strategies for the intelligent management of urban stormwater storage systems. However, it remains a challenge to ensure the practicality of RTC strategies that us...
Cities Models, Theoretical Rain Water Movements Fuzzy Logic Floods
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Using algorithmic game theory to improve supervised machine learning: A novel applicability approach in flood susceptibility mapping.

Environmental science and pollution research international Aug 19, 2024
This study was carried out with the aim of applying Condorcet and Borda scoring algorithms based on Game Theory (GT) to determine flood points and Flood Susceptibility Mapping (FSM) based on Machine Learning Algorithms (MLA) including Random Forest (...
Algorithms Support Vector Machine Machine Learning Floods Supervised Machine Learning Game Theory Iran
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Enhancing flood mapping through ensemble machine learning in the Gamasyab watershed, Western Iran.

Environmental science and pollution research international Aug 2, 2024
Floods are among the natural hazards that have seen a rapid increase in frequency in recent decades. The damage caused by floods, including human and financial losses, poses a serious threat to human life. This study evaluates two machine learning (M...
Iran Floods Humans Machine Learning Geographic Information Systems Support Vector Machine
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Integrating machine learning and geospatial data analysis for comprehensive flood hazard assessment.

Environmental science and pollution research international Jul 20, 2024
Flooding is a major natural hazard worldwide, causing catastrophic damage to communities and infrastructure. Due to climate change exacerbating extreme weather events robust flood hazard modeling is crucial to support disaster resilience and adaptati...
Algorithms Risk Assessment India Floods Machine Learning Data Analysis
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Impact of climate change on future flood susceptibility projections under shared socioeconomic pathway scenarios in South Asia using artificial intelligence algorithms.

Journal of environmental management Jul 8, 2024
This study investigated the impact of climate change on flood susceptibility in six South Asian countries Afghanistan, Bangladesh, Bhutan, Bharat (India), Nepal, and Pakistan-under two distinct Shared Socioeconomic Pathway (SSP) scenarios: SSP1-2.6 a...
Climate Change Floods Artificial Intelligence Algorithms Asia, Southern
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Forecasting of compound ocean-fluvial floods using machine learning.

Journal of environmental management Jun 13, 2024
Flood modelling and forecasting can enhance our understanding of flood mechanisms and facilitate effective management of flood risk. Conventional flood hazard and risk assessments usually consider one driver at a time, whether it is ocean, fluvial or...
Machine Learning Forecasting Neural Networks, Computer Oceans and Seas Rivers Models, Theoretical Floods Support Vector Machine
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Flood susceptibility mapping of Cheongju, South Korea based on the integration of environmental factors using various machine learning approaches.

Journal of environmental management Jun 13, 2024
Floods are natural occurrences that pose serious risks to human life and the environment, including significant property and infrastructure damage and subsequent socioeconomic challenges. Recent floods in Cheongju County, South Korea have been linked...
Floods Algorithms Republic of Korea Machine Learning
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Research on machine learning hybrid framework by coupling grid-based runoff generation model and runoff process vectorization for flood forecasting.

Journal of environmental management Jun 12, 2024
One of the important non-engineering measures for flood forecasting and disaster reduction in watersheds is the application of machine learning flood prediction models, with Long Short-Term Memory (LSTM) being one of the most representative time seri...
Neural Networks, Computer Machine Learning Forecasting Floods Water Movements Models, Theoretical Rivers
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Research on runoff process vectorization and integration of deep learning algorithms for flood forecasting.

Journal of environmental management Jun 4, 2024
Accurate multi-step ahead flood forecasting is crucial for flood prevention and mitigation efforts as well as optimizing water resource management. In this study, we propose a Runoff Process Vectorization (RPV) method and integrate it with three Deep...
Algorithms Rivers Forecasting Floods Deep Learning Models, Theoretical
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Machine learning-based potential loss assessment of maize and rice production due to flash flood in Himachal Pradesh, India.

Environmental monitoring and assessment May 2, 2024
Flash floods in mountainous regions like the Himalayas are considered to be common natural calamities. Their consequences often are more dangerous than any flood event in the plains. These hazards not only put human lives at threat but also cause eco...
Floods India Environmental Monitoring Oryza Machine Learning Agriculture Crops, Agricultural Zea mays
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