Modelling Interception and Transpiration at Monthly Time Steps: IHE Dissertation 31

Author:   Maria Margaretha de Groen
Publisher:   Taylor & Francis Ltd
ISBN:  

9781138407640


Pages:   232
Publication Date:   06 July 2017
Format:   Hardback
Availability:   In Print   Availability explained
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Modelling Interception and Transpiration at Monthly Time Steps: IHE Dissertation 31


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Overview

The book presents improved equations for monthly water resources models, in particular for interception and transpiration. Most of the existing monthly models do not make a distinction between interception and transipiration, while this distinction is very important for management purposes. Interception is direct feedback to the atmosphere, important to sustain rainfall. Transpiration is a good indicator for plant growth and biomass production. This distinction also contributes to the estimation of recharge and therewith of runoff.;The derivations are based on the Markov theory for the occurrence of rain-days. The methodology can be used on the basis of an analysis of a few time series of daily data, at a spatial scale of 300km and not necessarily of the same period as the monthly data. Zimbabwe served as the case study, but derived equations can be used worldwide as long as the relationship between the monthly rainfall and the mean number of rain-days can be established.

Full Product Details

Author:   Maria Margaretha de Groen
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.453kg
ISBN:  

9781138407640


ISBN 10:   113840764
Pages:   232
Publication Date:   06 July 2017
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

1 Introduction 2 The Markov model, a stochastic model for daily rainfall 3 Occurrence of rain-days as a Markov process 4 Monthly parameters representing rainfall occurrence 5 Probabilities of daily rainfall amounts 6 Interception 7 Transpiration- the spells approach 8 Monthly model for transpiration 9 Comparison with Thomthwaite-Mather and other monthly models 10 Estimating potential transpiration 11 Spatial interpolation of daily rainfall 12 Conclusions

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Author Information

Maria Margaretha de Groen, born in Nijmegen, The Netherlands civiel ingenieur, Delft University of Technology.

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