Applications of hybrid wavelet–artificial intelligence models in hydrology: a review

V Nourani, AH Baghanam, J Adamowski, O Kisi - Journal of Hydrology, 2014 - Elsevier
Accurate and reliable water resources planning and management to ensure sustainable use
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

RC Deo, O Kisi, VP Singh - Atmospheric Research, 2017 - Elsevier
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 …

Analysis and prediction of rainfall trends over Bangladesh using Mann–Kendall, Spearman's rho tests and ARIMA model

MA Rahman, L Yunsheng, N Sultana - Meteorology and Atmospheric …, 2017 - Springer
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 …

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

SM **ale, D Khare, MK Jat, J Adamowski - Atmospheric Research, 2014 - Elsevier
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 …

Forecasting of groundwater level fluctuations using ensemble hybrid multi-wavelet neural network-based models

R Barzegar, E Fijani, AA Moghaddam… - Science of the Total …, 2017 - Elsevier
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 …

Forecasting effective drought index using a wavelet extreme learning machine (W-ELM) model

RC Deo, MK Tiwari, JF Adamowski… - … research and risk …, 2017 - Springer
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 …

Identifying long-term variations in vegetation and climatic variables and their scale-dependent relationships: A case study in Southwest Germany

Z Liu, L Menzel - Global and Planetary Change, 2016 - Elsevier
Geographic time series are usually non-stationary and contain different frequency
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

A Belayneh, J Adamowski, B Khalil, J Quilty - Atmospheric research, 2016 - Elsevier
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 …

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 …

Temporal and spatial variations of precipitation in Northwest China during 1960–2013

P Yang, J **a, Y Zhang, S Hong - Atmospheric Research, 2017 - Elsevier
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 …