Lake water temperature modeling in an era of climate change: Data sources, models, and future prospects

S Piccolroaz, S Zhu, R Ladwig, L Carrea… - Reviews of …, 2024 - Wiley Online Library
Lake thermal dynamics have been considerably impacted by climate change, with potential
adverse effects on aquatic ecosystems. To better understand the potential impacts of future …

A hybrid data-driven deep learning prediction framework for lake water level based on fusion of meteorological and hydrological multi-source data

Z Yao, Z Wang, T Wu, W Lu - Natural Resources Research, 2024 - Springer
Accurate prediction of lake water level is of great significance for flood prevention, reservoir
scheduling, and ecological protection. However, the change in lake water level is influenced …

Machine learning modeling of base flow generation potential: A case study of the combined application of BWM and Fallback bargaining algorithm

AN Khiavi - Journal of Hydrology, 2024 - Elsevier
The study of base flow is essential for sustainable water management. By understanding the
dynamics of base flow, policymakers can make informed decisions to ensure the long-term …

Advancing Reservoir Water Level Predictions: Evaluating Conventional, Ensemble and Integrated Swarm Machine Learning Approaches

I Rehamnia, A Mahdavi-Meymand - Water Resources Management, 2024 - Springer
Accurate estimation of reservoir water level fluctuation (WLF) is crucial for effective dam
operation and environmental management. In this study, seven machine learning (ML) …

Comparison of strategies for multistep-ahead lake water level forecasting using deep learning models

G Li, Z Shu, M Lin, J Zhang, X Yan, Z Liu - Journal of Cleaner Production, 2024 - Elsevier
Accurate forecasting of multistep-ahead lake water level is valuable for extreme disaster
prevention and eco-environmental protection. However, existing studies mainly focus on …

Improving water level monitoring in small to medium-sized rivers: An enhanced footprint filter-based conditional threshold retracker approach

X Hu, C Jiang, D Zhu, D Li - Remote Sensing of Environment, 2024 - Elsevier
Satellite altimetry data has become essential for studying the dynamics of water bodies,
especially in regions with limited or inaccessible data. Traditional low-resolution mode …

[HTML][HTML] Hydrologic response and prediction of future water level changes in Qinghai Lake of Tibet Plateau, China

H Wang, J Liu, Z Luo, S Nazli, L Shi - Journal of Hydrology: Regional …, 2025 - Elsevier
Abstract Study region The Qinghai Lake basin (QLB) Study focus The lake system of the
Qinghai-Tibet Plateau is a crucial component of the global ecosystem. Global warming has …

Floodplain Lake Water Level Prediction with Strong River-Lake Interaction Using the Ensemble Learning LightGBM

M Gan, X Lai, Y Guo, Y Chen, S Pan… - Water Resources …, 2024 - Springer
Timely and accurate prediction of water levels is crucial for managing floodplain lakes with
important ecosystem services, especially for flood prevention. Floodplain lakes are …

[HTML][HTML] What drives the distinct evolution of the Aral Sea and Lake Balkhash? Insights from a novel CD-RF-FA method

S Liu, A Long, G Luo, H Wang, D Yan… - Journal of Hydrology …, 2024 - Elsevier
Abstract Study Region The Aral Sea and Lake Balkhash. Study Focus This study explores
the impacts of climate change and human activities on the inflow of the Aral Sea and Lake …

Hydroformer: Frequency domain enhanced multi‐attention transformer for monthly lake level reconstruction with low data input requirements

M Hou, J Wei, Y Shi, S Hou, W Zhang… - Water Resources …, 2024 - Wiley Online Library
Lake level changes are critical indicators of hydrological balance and climate change, yet
long‐term monthly lake level reconstruction is challenging with incomplete or short‐term …