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[HTML][HTML] Flood prediction with time series data mining: Systematic review
The global community is continuously working to minimize the impact of disasters through
various actions, including earth surveying. For example, flood-prone areas must be …
various actions, including earth surveying. For example, flood-prone areas must be …
[HTML][HTML] DEM resolution effects on machine learning performance for flood probability map**
Floods are among the devastating natural disasters that occurred very frequently in arid
regions during the last decades. Accurate assessment of the flood susceptibility map** is …
regions during the last decades. Accurate assessment of the flood susceptibility map** is …
Integrating machine learning models with comprehensive data strategies and optimization techniques to enhance flood prediction accuracy: a review
The occurrence of natural disasters, accelerated by climate change, has become a
continuous menace to the environment and consequently impacts the socioeconomic well …
continuous menace to the environment and consequently impacts the socioeconomic well …
[HTML][HTML] Prediction of flood discharge using hybrid PSO-SVM algorithm in Barak River Basin
A crucial necessity in integrated water resource management is flood forecasting. Climate
forecasts, specifically flood prediction, comprise multifaceted tasks as they are dependant on …
forecasts, specifically flood prediction, comprise multifaceted tasks as they are dependant on …
Prediction of flow discharge in Mahanadi River Basin, India, based on novel hybrid SVM approaches
Accurate monthly flow discharge prediction can yield significant evidence for sustainable
management of water resources systems, optimal water allocation and use, mitigating flood …
management of water resources systems, optimal water allocation and use, mitigating flood …
Improvement of flood susceptibility map** by introducing hybrid ensemble learning algorithms and high-resolution satellite imageries
Flood, a dangerous hydro-geomorphic hazard, is one of the most critically applied science
research issue. The restoration and recovery are costly and can interrupt communities' …
research issue. The restoration and recovery are costly and can interrupt communities' …
A comparative study on prediction of monthly streamflow using hybrid ANFIS-PSO approaches
Monthly prediction of streamflow is a fundamental and complex hydrological phenomenon.
Accurate streamflow prediction helps in water resources planning, design, and …
Accurate streamflow prediction helps in water resources planning, design, and …
Flood hazard map** using GIS-based statistical model in vulnerable riparian regions of sub-tropical environment
A Ghosh, U Chatterjee, SC Pal… - Geocarto …, 2023 - Taylor & Francis
Floods are a recurrent natural calamity that presents substantial hazards to human lives and
infrastructure. The study indicates that a significant proportion of the study area, specifically …
infrastructure. The study indicates that a significant proportion of the study area, specifically …
[HTML][HTML] Spatial prediction of current and future flood susceptibility: examining the implications of changing climates on flood susceptibility using machine learning …
The main aim of this study was to predict current and future flood susceptibility under three
climate change scenarios of RCP2. 6 (ie, optimistic), RCP4. 5 (ie, business as usual), and …
climate change scenarios of RCP2. 6 (ie, optimistic), RCP4. 5 (ie, business as usual), and …
Assessment of flood frequency using statistical and hybrid neural network method: Mahanadi River Basin, India
Flooding is the most common and widespread natural hazard affecting societies around the
globe. In this context, forecasting of peak flood discharge is necessary for planning …
globe. In this context, forecasting of peak flood discharge is necessary for planning …