Applications of hybrid wavelet–artificial intelligence models in hydrology: a review
Accurate and reliable water resources planning and management to ensure sustainable use
of watershed resources cannot be achieved without precise and reliable models …
of watershed resources cannot be achieved without precise and reliable models …
Trend analyses methodologies in hydro-meteorological records
M Almazroui, Z Şen - Earth Systems and Environment, 2020 - Springer
In recent years, global warming and climate change impacts on hydro-meteorological
variables and water resources triggered extensive focus on trend analyses. Especially, in …
variables and water resources triggered extensive focus on trend analyses. Especially, in …
Improved visualization for trend analysis by comparing with classical Mann-Kendall test and ITA
YS Güçlü - Journal of Hydrology, 2020 - Elsevier
This study compares classical Mann-Kendall (MK) test and simple Şen-innovative trend
analysis (ITA) method by proposing a new trend analysis methodology with a special …
analysis (ITA) method by proposing a new trend analysis methodology with a special …
Rainfall and river flow trends using Mann–Kendall and Sen's slope estimator statistical tests in the Cobres River basin
The main objective of this study is to obtain a better understanding of the spatial and
temporal variability and trends of rainfall and river flow in the Cobres River basin, southern …
temporal variability and trends of rainfall and river flow in the Cobres River basin, southern …
Analysis and prediction of rainfall trends over Bangladesh using Mann–Kendall, Spearman's rho tests and ARIMA model
In this study, 60-year monthly rainfall data of Bangladesh were analysed to detect trends.
Modified Mann–Kendall, Spearman's rho tests and Sen's slope estimators were applied to …
Modified Mann–Kendall, Spearman's rho tests and Sen's slope estimators were applied to …
Multiple Şen-innovative trend analyses and partial Mann-Kendall test
YS Güçlü - Journal of Hydrology, 2018 - Elsevier
The climate change is an important event that affects hydrological, agricultural and water
resources planning variables, and therefore, the hydrologists and meteorologists frequently …
resources planning variables, and therefore, the hydrologists and meteorologists frequently …
Forecasting effective drought index using a wavelet extreme learning machine (W-ELM) model
A drought forecasting model is a practical tool for drought-risk management. Drought models
are used to forecast drought indices (DIs) that quantify drought by its onset, termination, and …
are used to forecast drought indices (DIs) that quantify drought by its onset, termination, and …
Temporal and spatial variability of temperature and precipitation over East Africa from 1951 to 2010
This study presents temporal and spatial changes in temperature and precipitation over East
Africa (EA) from 1951 to 2010. The study utilized monthly Climate Research Unit (CRU) …
Africa (EA) from 1951 to 2010. The study utilized monthly Climate Research Unit (CRU) …
Application of wavelet-artificial intelligence hybrid models for water quality prediction: a case study in Aji-Chay River, Iran
Abstract The accuracy of Artificial Neural Network (ANN), Adaptive Neuro-Fuzzy Inference
System (ANFIS), wavelet-ANN and wavelet-ANFIS in predicting monthly water salinity levels …
System (ANFIS), wavelet-ANN and wavelet-ANFIS in predicting monthly water salinity levels …
Coupling machine learning methods with wavelet transforms and the bootstrap and boosting ensemble approaches for drought prediction
This study explored the ability of coupled machine learning models and ensemble
techniques to predict drought conditions in the Awash River Basin of Ethiopia. The potential …
techniques to predict drought conditions in the Awash River Basin of Ethiopia. The potential …