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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 …
Drought forecasting in eastern Australia using multivariate adaptive regression spline, least square support vector machine and M5Tree model
Drought forecasting using standardized metrics of rainfall is a core task in hydrology and
water resources management. Standardized Precipitation Index (SPI) is a rainfall-based …
water resources management. Standardized Precipitation Index (SPI) is a rainfall-based …
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 …
Spatial and temporal trends of mean and extreme rainfall and temperature for the 33 urban centers of the arid and semi-arid state of Rajasthan, India
Trend analysis of the mean (monsoon season, non-monsoon season and annual) and
extreme annual daily rainfall and temperature at the spatial and temporal scales was carried …
extreme annual daily rainfall and temperature at the spatial and temporal scales was carried …
Forecasting of groundwater level fluctuations using ensemble hybrid multi-wavelet neural network-based models
Accurate prediction of groundwater level (GWL) fluctuations can play an important role in
water resources management. The aims of the research are to evaluate the performance of …
water resources management. The aims of the research are to evaluate the performance of …
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 …
Identifying long-term variations in vegetation and climatic variables and their scale-dependent relationships: A case study in Southwest Germany
Geographic time series are usually non-stationary and contain different frequency
components (eg, seasonal variations, long-term and short-term fluctuations) which may …
components (eg, seasonal variations, long-term and short-term fluctuations) which may …
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 …
Does drought in China show a significant decreasing trend from 1961 to 2009?
Z Wang, J Li, C Lai, Z Zeng, R Zhong, X Chen… - Science of the Total …, 2017 - Elsevier
In recent decades, the occurrence and severity of drought in China has had devastating
impact on social and economic development. The increase in drought has been attributed to …
impact on social and economic development. The increase in drought has been attributed to …
Temporal and spatial variations of precipitation in Northwest China during 1960–2013
Based on the precipitation data from 96 weather stations in Northwest China (NWC) during
1960–2013, the Continuous Wavelet Transform (CWT) and the Mann-Kendall (MK) test were …
1960–2013, the Continuous Wavelet Transform (CWT) and the Mann-Kendall (MK) test were …