Applications of Machine Learning in Hydroclimatology

Applications of Machine Learning in Hydroclimatology

Srivastav, Roshan; Nayak, Purna C.

Springer International Publishing AG

11/2024

142

Dura

9783031644023

15 a 20 dias

Descrição não disponível.
Applications of Physics-guided Machine Learning Architectures in Hydrology.- A Review of Approaches and Applications for Streamflow Forecasting Using AI-based Models.- Estimation Of Groundwater Levels Using Machine Learning Techniques.- River Discharge Forecasting in Mahanadi River Basin Based On Deep Learning Techniques.- Machine Learning models for Groundwater Level Prediction.- Genetic Algorithm-Aided Neural Network for Sediment Critical Shear Stress Modeling.- An Integrative Approach for Oxygen Demand-based Stream Water Quality Modelling using QUAL2K-ANN Interactions.- Predictive Deep Learning Models for Daily Suspended Sediment Load in the Missouri River, USA.- The High Resolution Statistical Downscaling of Seasonal Rainfall Forecasts Models for Comprehensive Evaluation of Hybrid Gamma Distribution for Districts of West Bengal, India.- Prediction of Rainfall in One of the Wettest Regions in India using Machine Learning Methods.
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Machine Learning;Hydroclimatology;Hydrology;Flood Forecasting;Drought Prediction;Reservoir Operation;Hydrometeorological Extremes;Water Resources Management;Statistical downscaling;Climate Change Impacts;Statistical Analysis;Frequency Analysis;Deep Learning;Stochastic Hydrology;Non-Stationarity;Uncertainty Analysis;Physics-Guided Models;Data-Driven Techniques;Reinforcement Learning;Statistical Downscaling