[HTML][HTML] Time series trend analysis and forecasting of climate variability using deep learning in Thailand

M Waqas, UW Humphries, PT Hlaing - Results in Engineering, 2024 - Elsevier
Climate variability, trend analysis, and accurate forecasting are vital in a country's effective
water resource management and strategic planning. Precipitation and temperature are …

[PDF][PDF] Options for digital twin application in developing country river basin management: a review

JO Botai, S Ghosh, K Matheswaran, C Dickens… - 2023 - researchgate.net
Abstract A Digital Twin (DT) is a digital representation of reality. This report explores the
implementation of DT in the context of basin scale water management, with a particular …

[HTML][HTML] Neural network approach for modeling future natural river flows: Assessing climate change impacts on the Tagus River

D Fernández-Nóvoa, PMM Soares… - Journal of Hydrology …, 2025 - Elsevier
Abstract Study region Tagus River basin (Iberian Peninsula). Study focus An innovative
methodology is developed to analyze the impact of climate change on the hydrological …

Flood prediction based on feature selection and a hybrid deep learning network

N Chenmin, MF Marsani, F Pei Shan - Journal of Water and …, 2024 - iwaponline.com
As climates change globally, water-related disasters increase, causing substantial economic
losses and safety risks. During floods, river water levels show unpredictable fluctuations …

Machine learning and CORDEX-Africa regional model for assessing the impact of climate change on the Gilgel Gibe Watershed, Ethiopia

AK Bojer, M Woldetsadik, BH Biru - Journal of Environmental Management, 2024 - Elsevier
Climate change is one of the most pressing challenges of our time, profoundly impacting
global water resources and sustainability. This study aimed to predict the long-term effects of …

Deep learning algorithms and their fuzzy extensions for streamflow prediction in climate change framework

RK Vogeti, R Jauhari, BR Mishra, KS Raju… - Journal of Water and …, 2024 - iwaponline.com
The present study analyzes the capability of convolutional neural network (CNN), long short-
term memory (LSTM), CNN-LSTM, fuzzy CNN, fuzzy LSTM, and fuzzy CNN-LSTM to mimic …

Interbasin river mapping between Californian and Turkish rivers for climate change assessment

MS Dogan - Journal of Water and Climate Change, 2024 - iwaponline.com
ABSTRACT A climate change assessment for streamflow availability of the selected rivers in
Turkey is presented. Using an Index Basin Mapping (IBM) approach, climate change …

Modeling climate change projection and its impact on the streamflow in the Yadot watershed, Genale Dawa basin, Ethiopia

AM Abdule, A Muluneh… - Journal of Water and …, 2024 - iwaponline.com
Varied streamflow response to climate between river basins and seasons highlight the
importance of further research on different basins and watersheds in different seasons to …

Assessment of Climate Change Impact on Water Resources Using Machine Learning Algorithms

M Niazkar, M Zakwan, MR Goodarzi… - Journal of Water and …, 2024 - iwaponline.com
Machine learning (ML) algorithms bring about a game changer tool in developing estimation
models in various fields of research, including water resources and climate change. These …

[PDF][PDF] corrected Proof

AM Abdulea, A Muluneh, A Woldemichaelb - 2024 - researchgate.net
Varied streamflow response to climate between river basins and seasons highlight the
importance of further research on different basins and watersheds in different seasons to …