Record nummer 2227652
Titel Groundwater system identification through time series analysis
toon extra info.
Jost-René von Asmuth
Auteur(s) Asmuth, Jost-René von (dissertant)
Uitgever Delft : Technische Universiteit Delft
Jaar van uitgave 2012
Pagina's 1 online resource (PDF, 221 pages) figures, diagrams
Annotatie(s) Ph.D. thesis Technische Universiteit Delft;, 2012  toon alle annotatie(s)
Includes bibliographical references. - With summaries in English and Dutch
ISBN 9789051550795; 9051550790
Online full text
Publicatie type Proefschrift
Taal Engels
Toelichting (Engels) Groundwater, water in the ground. Although it is invisible, it is a vital resource for all terrestrial life (whether direct or indirect). Many processes interact with it. Rain recharges it, as it infiltrates the soil. Plant roots take it up, and their leaves evaporate it. It discharges to rivers and streams, and is abstracted with pumping wells. It is controlled with ditches and drainage means. Such processes and activities leave their traces in the groundwater level fluctuations. Careful analysis of these fluctuations may reveal much of the functioning of systems, and of the effects of individual factors. This is shown by many, but practiced by too few, as traditional time series analysis theory and software are complex. In this thesis, a new method of time series analysis is presented. Its continuous time formulation fits existing physical-hydrologic theory and methods well. It is shown that groundwater level responses generally take the shape of simple distribution functions. This notion, combined with the program Menyanthes that was developed, enable the quick and easy analysis of large numbers of time series. The spatial patterns that emerge in the results of multiple models literally add another dimension to the technique. As time series models are usually accurate also, they may be valuable to every (eco)hydrologist.
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