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 …

Hourly streamflow forecasting using a Bayesian additive regression tree model hybridized with a genetic algorithm

DH Nguyen, XH Le, DT Anh, SH Kim, DH Bae - Journal of Hydrology, 2022 - Elsevier
Urban flooding is a global metropolitan problem; therefore, establishing reliable streamflow
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

T Huang, V Merwade - Water Resources Research, 2023 - Wiley Online Library
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 …

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 …

BJ So, HS Kim, HH Kwon - Stochastic Environmental Research and Risk …, 2024 - Springer
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 …

[HTML][HTML] Uncertainty analysis of HYDRUS-1D model to simulate soil salinity dynamics under saline irrigation water conditions using Markov Chain Monte Carlo …

F Moghbel, A Mosaedi, J Aguilar, B Ghahraman… - Agronomy, 2022 - mdpi.com
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 …

[HTML][HTML] A novel framework for uncertainty quantification of rainfall–runoff models based on a Bayesian approach focused on transboundary river basins

TD Nguyen, DH Nguyen, HH Kwon, DH Bae - Journal of Hydrology …, 2025 - Elsevier
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 …

[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 …