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Unlocking the Potential of Artificial Intelligence for Sustainable Water Management Focusing Operational Applications.
Assessing diverse parameters like water quality, quantity, and occurrence of hydrological
extremes and their management is crucial to perform efficient water resource management …
extremes and their management is crucial to perform efficient water resource management …
Improving glacio-hydrological model calibration and model performance in cold regions using satellite snow cover data
Hydrological modeling realism is a central research question in hydrological studies.
However, it is still a common practice to calibrate hydrological models using streamflow as a …
However, it is still a common practice to calibrate hydrological models using streamflow as a …
Development and application of travel time based gridded runoff and sediment yield model
A Yousuf, A Bhardwaj - … Journal of Environmental Science and Technology, 2021 - Springer
The present study proposes a Geographic Information System-based runoff and sediment
yield model. The model derives the study watershed characteristics using the Digital …
yield model. The model derives the study watershed characteristics using the Digital …
Enhancing the Accuracy of Water-Level Forecasting with a New Parameter-Inversion Model for Estimating Bed Roughness in Hydrodynamic Models
Y Chen, F Cao, W Cheng, B Liu - Applied Sciences, 2023 - mdpi.com
Featured Application The new parameter-inversion model for estimating bed roughness in
hydrodynamic Models is potentially usefully for the accurate flood water forecasting in …
hydrodynamic Models is potentially usefully for the accurate flood water forecasting in …
[PDF][PDF] Model Calibration for a Hydraulic Network Using Genetic Algorithms
This paper addresses the problem of parameter calibration in pipelines based on a Genetic
Algorithm (GA). The parameters under consideration are the pipe roughness and the minor …
Algorithm (GA). The parameters under consideration are the pipe roughness and the minor …
Improving hydrological modelling in cold regions using satellite remote sensing and machine learning techniques
B Mohammadi - 2024 - portal.research.lu.se
Water resources are fundamental to life, ecosystems, and human development. In an era of
climate change and increasing water scarcity, effective management of these resources is …
climate change and increasing water scarcity, effective management of these resources is …
Comparative Evaluation of Overland Flow Model Structures on an Impervious Experimental Watershed
RRM Puthanveed, SK Damodaran - KSCE Journal of Civil Engineering, 2024 - Elsevier
Selecting the appropriate model structure for overland flow modelling is an important task in
drainage design and floodplain simulation. Comparison of overland flow models based on …
drainage design and floodplain simulation. Comparison of overland flow models based on …
[PDF][PDF] Unlocking the Potential of Artificial Intelligence for Sustainable Water Management Focusing Operational Applications. Water 2024, 16, 3328
Assessing diverse parameters like water quality, quantity, and occurrence of hydrological
extremes and their management is crucial to perform efficient water resource management …
extremes and their management is crucial to perform efficient water resource management …
A weighting function model for unsteady open channel friction
A weighting function model was developed to account for the relationship between flow
unsteadiness and frictional resistance. The Manning equation cannot fully describe such …
unsteadiness and frictional resistance. The Manning equation cannot fully describe such …
Bias correction of regional climate models for streamflow forecasting
N Sinsha, D Sathish Kumar - … Systems: Select Proceedings of ITHES 2021, 2022 - Springer
Climate change is recognised as a serious phenomenon affecting socio-economic
agricultural development activities around the globe. Regional climate models (RCMs) are …
agricultural development activities around the globe. Regional climate models (RCMs) are …