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A state-of-the-art review of long short-term memory models with applications in hydrology and water resources
Z Feng, J Zhang, W Niu - Applied Soft Computing, 2024 - Elsevier
Abstract Long Short-Term Memory (LSTM) has recently emerged as a crucial tool for
scientific research in hydrology and water resources. Despite its widespread use, a …
scientific research in hydrology and water resources. Despite its widespread use, a …
Hourly streamflow forecasting using a Bayesian additive regression tree model hybridized with a genetic algorithm
Urban flooding is a global metropolitan problem; therefore, establishing reliable streamflow
forecasting models is critical for flood control and planning in urban areas. Furthermore …
forecasting models is critical for flood control and planning in urban areas. Furthermore …
Improving Bayesian model averaging for ensemble flood modeling using multiple Markov Chains Monte Carlo sampling
As all kinds of numerical models are emerging in hydrologic and hydraulic engineering,
Bayesian model averaging (BMA) is one of the popular multi‐model methods used to …
Bayesian model averaging (BMA) is one of the popular multi‐model methods used to …
Spatial pattern of bias in areal rainfall estimations and its impact on hydrological modeling: a comparative analysis of estimating areal rainfall based on radar and …
Areal rainfall is routinely estimated based on the observed rainfall data using distributed
point rainfall gauges. However, the data collected are sparse and cannot represent the …
point rainfall gauges. However, the data collected are sparse and cannot represent the …
[HTML][HTML] Uncertainty analysis of HYDRUS-1D model to simulate soil salinity dynamics under saline irrigation water conditions using Markov Chain Monte Carlo …
Utilizing degraded quality waters such as saline water as irrigation water with proper
management methods such as leaching application is a potential answer to water scarcity in …
management methods such as leaching application is a potential answer to water scarcity in …
[HTML][HTML] A novel framework for uncertainty quantification of rainfall–runoff models based on a Bayesian approach focused on transboundary river basins
Abstract Study region The transboundary Im** River basin, Korea. Study focus The primary
aim is to propose and validate a novel framework for assessing the uncertainty in …
aim is to propose and validate a novel framework for assessing the uncertainty in …
[PDF][PDF] Uncertainty analysis of regional rainfall frequency estimates in Northeast India
N Debbarma, P Choudhury, P Roy… - Civil Engineering …, 2021 - academia.edu
Estimation of rainfall quantile is an important step in regional frequency analysis for planning
and design of any water resources project. Related evaluations of accuracy and uncertainty …
and design of any water resources project. Related evaluations of accuracy and uncertainty …