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1Conference
Authors: Tang, Yanming
Source: 2024 36th Chinese Control and Decision Conference (CCDC) Control and Decision Conference (CCDC), 2024 36th Chinese. :640-647 May, 2024
Relation: 2024 36th Chinese Control and Decision Conference (CCDC)
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2eBook
Contributors: Chang, Fi-John, Guo, Shenglian
Subject Terms: water resources management, landslide, dammed lake, flood risk, time-varying parameter, GR4J model, changing environments, temporal transferability, western China, cascade hydropower reservoirs, multi-objective optimization, TOPSIS, gravitational search algorithm, opposition learning, partial mutation, elastic-ball modification, Snowmelt Runoff Model, parameter uncertainty, data-scarce deglaciating river basin, climate change impacts, generalized likelihood uncertainty estimation, Yangtze River, cascade reservoirs, impoundment operation, GloFAS-Seasonal, forecast evaluation, small and medium-scale rivers, highly urbanized area, flood control, whole region perspective, coupled models, flood-risk map, hydrodynamic modelling, Sequential Gaussian Simulation, urban stormwater, probabilistic forecast, Unscented Kalman Filter, artificial neural networks, Three Gorges Reservoir, Mahalanobis-Taguchi System, grey entropy method, signal-to-noise ratio, degree of balance and approach, interval number, multi-objective optimal operation model, feasible search space, Pareto-front optimal solution set, loss–benefit ratio of ecology and power generation, elasticity coefficient, empirical mode decomposition, Hushan reservoir, data synthesis, urban hydrological model, Generalized Likelihood Uncertainty Estimation (GLUE), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), uncertainty analysis, NDVI, Yarlung Zangbo River, machine learning model, random forest, Internet of Things (IoT), regional flood inundation depth, recurrent nonlinear autoregressive with exogenous inputs (RNARX), artificial intelligence, machine learning, multi-objective reservoir operation, hydrologic forecasting, uncertainty, risk, Research and information: general
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3eBook
Contributors: Chang, Fi-John, Guo, Shenglian
Subject Terms: water resources management, landslide, dammed lake, flood risk, time-varying parameter, GR4J model, changing environments, temporal transferability, western China, cascade hydropower reservoirs, multi-objective optimization, TOPSIS, gravitational search algorithm, opposition learning, partial mutation, elastic-ball modification, Snowmelt Runoff Model, parameter uncertainty, data-scarce deglaciating river basin, climate change impacts, generalized likelihood uncertainty estimation, Yangtze River, cascade reservoirs, impoundment operation, GloFAS-Seasonal, forecast evaluation, small and medium-scale rivers, highly urbanized area, flood control, whole region perspective, coupled models, flood-risk map, hydrodynamic modelling, Sequential Gaussian Simulation, urban stormwater, probabilistic forecast, Unscented Kalman Filter, artificial neural networks, Three Gorges Reservoir, Mahalanobis-Taguchi System, grey entropy method, signal-to-noise ratio, degree of balance and approach, interval number, multi-objective optimal operation model, feasible search space, Pareto-front optimal solution set, loss–benefit ratio of ecology and power generation, elasticity coefficient, empirical mode decomposition, Hushan reservoir, data synthesis, urban hydrological model, Generalized Likelihood Uncertainty Estimation (GLUE), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), uncertainty analysis, NDVI, Yarlung Zangbo River, machine learning model, random forest, Internet of Things (IoT), regional flood inundation depth, recurrent nonlinear autoregressive with exogenous inputs (RNARX), artificial intelligence, machine learning, multi-objective reservoir operation, hydrologic forecasting, uncertainty, risk, Research and information: general
File Description: application/octet-stream
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4Academic Journal
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