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 …

Methods in karst hydrogeology: IAH: International Contributions to Hydrogeology, 26

N Goldscheider, D Drew - 2007 - books.google.com
The importance of investigating karstified aquifers lies in their significance as a major source
of drinking water. This book describes methods that are basic to all hydrogeological studies …

Forecasting river water temperature time series using a wavelet–neural network hybrid modelling approach

R Graf, S Zhu, B Sivakumar - Journal of Hydrology, 2019 - Elsevier
Accurate and reliable water temperature forecasting models can help in environmental
impact assessment as well as in effective fisheries management in river systems. In this …

[图书][B] The illustrated wavelet transform handbook: introductory theory and applications in science, engineering, medicine and finance

PS Addison - 2017 - taylorfrancis.com
This second edition of The Illustrated Wavelet Transform Handbook: Introductory Theory and
Applications in Science, Engineering, Medicine and Finance has been fully updated and …

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 …

Evidence for global runoff increase related to climate warming

D Labat, Y Goddéris, JL Probst, JL Guyot - Advances in water resources, 2004 - Elsevier
Ongoing global climatic change initiated by the anthropogenic release of carbon dioxide is a
matter of intense debate. We focus both on the impact of these climatic changes on the …

A review on the applications of wavelet transform in hydrology time series analysis

YF Sang - Atmospheric research, 2013 - Elsevier
In this paper, the wavelet transform methods were briefly introduced, and present
researches and applications of them in hydrology were summarized and reviewed from six …

Soil moisture forecasting by a hybrid machine learning technique: ELM integrated with ensemble empirical mode decomposition

R Prasad, RC Deo, Y Li, T Maraseni - Geoderma, 2018 - Elsevier
Soil moisture (SM) is an essential component of the environmental and the agricultural
system. Continuous monitoring and forecasting of soil moisture is a desirable strategy to …

Two hybrid artificial intelligence approaches for modeling rainfall–runoff process

V Nourani, Ö Kisi, M Komasi - Journal of Hydrology, 2011 - Elsevier
The need for accurate modeling of the rainfall–runoff process has grown rapidly in the past
decades. However, considering the high stochastic property of the process, many models …

Recent advances in wavelet analyses: Part 1. A review of concepts

D Labat - Journal of Hydrology, 2005 - Elsevier
This contribution provides a review of the most recent wavelet applications in the field of
earth sciences and is devoted to introducing and illustrating new wavelet analysis methods …