Changes in floodplain regimes over Canada due to climate change impacts: Observations from CMIP6 models
MP Mohanty, SP Simonovic - Science of the Total Environment, 2021 - Elsevier
Abstract With the recent Coupled Model Intercomparison Project Phase 6 (CMIP6), water
experts and flood modellers are curious to explore the efficacy of the new and upgraded …
experts and flood modellers are curious to explore the efficacy of the new and upgraded …
Evaluating monthly flow prediction based on SWAT and support vector regression coupled with discrete wavelet transform
L Yuan, KJ Forshay - Water, 2022 - mdpi.com
Reliable and accurate streamflow prediction plays a critical role in watershed water
resources planning and management. We developed a new hybrid SWAT-WSVR model …
resources planning and management. We developed a new hybrid SWAT-WSVR model …
A novel application of waveform matching algorithm for improving monthly runoff forecasting using wavelet–ML models
The main goal of this study is to enhance the precision and reliability of monthly runoff
forecasts within the complex Navrood watershed, situated in northern Iran. The innovative …
forecasts within the complex Navrood watershed, situated in northern Iran. The innovative …
A comprehensive study on spectral analysis and anomaly detection of river water quality dynamics with high time resolution measurements
Systemic analysis of hydrology and water quality fluctuations using a data-intensive
approach is an emerging research area and is significant for understanding hydrological …
approach is an emerging research area and is significant for understanding hydrological …
Climate change or regional human impacts? Remote sensing tools, artificial neural networks, and wavelet approaches aim to solve the problem
Lake Urmia, as the largest lake in Iran, has suffered from water-level decline and this
problem needs to be investigated accurately. The major reason for the decline is …
problem needs to be investigated accurately. The major reason for the decline is …
The capacity of the hybridizing wavelet transformation approach with data-driven models for modeling monthly-scale streamflow
Hybrid models that combine wavelet transformation (WT) as a pre-processing tool with data-
driven models (DDMs) as modeling approaches have been widely investigated for …
driven models (DDMs) as modeling approaches have been widely investigated for …
Leveraging gauge networks and strategic discharge measurements to aid the development of continuous streamflow records
Quantifying continuous discharge can be difficult, especially for nascent monitoring efforts,
due to the challenges of establishing gauging locations, sensor protocols, and installations …
due to the challenges of establishing gauging locations, sensor protocols, and installations …
Induction machine bearing fault detection using empirical wavelet transform
R Lopez-Gutierrez, JJ Rangel-Magdaleno… - Shock and …, 2022 - Wiley Online Library
The detection of faults related to the optimal condition of induction motors is an important
task to avoid the malfunction or loss of the motor, thus avoiding high repair or replacement …
task to avoid the malfunction or loss of the motor, thus avoiding high repair or replacement …
An evaluation of À Trous-based record extension techniques for water quality record extension
Hydrological data in general and water quality (WQ) data in particular frequently suffer from
missing records and/or short-gauged monitoring/sampling sites. Many statistical regression …
missing records and/or short-gauged monitoring/sampling sites. Many statistical regression …
Using Hybrid Wavelet‐Exponential Smoothing Approach for Streamflow Modeling
Considering the three intrinsic components (of autoregressive, seasonality, and error) of
streamflow time series, the overall performance of the streamflow modeling tool is …
streamflow time series, the overall performance of the streamflow modeling tool is …