Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/426
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Type: Journal article
Title: Bivariate stochastic modelling of ephemeral streamflow
Author: Cigizoglu, H.
Adamson, P.
Metcalfe, A.
Citation: Hydrological Processes, 2002; 16(7):1451-1465
Publisher: John Wiley & Sons Ltd
Issue Date: 2002
ISSN: 0885-6087
1099-1085
Statement of
Responsibility: 
H. Kerem Cigizoglu, Peter T. Adamson, Andrew V. Metcalfe
Abstract: Streamflow time series in arid and semi-arid regions can be characterized as a sequence of single discrete flow episodes or clusters of hydrographs separated by periods of zero discharge. Here, two point process models are presented for the joint of occurrence of flow events at neighbouring river sites. The first allows for excess clustering by adding autocorrelated errors to an empirically derived seasonally varying probability of an event and is extended to the case of the joint occurrence of flow events in two catchments. The second approach is to explicitly model the occurrences of clusters of events and the bivariate point process of event occurrences within them at both sites. For the two models, the magnitude of event peaks are assumed to be drawn from continuous distributions with seasonally varying parameters. Rises and recessions in discharge are interpolated between the peaks using regression estimates of hydrographs. The models are fitted to mean daily flows at two sites in Namibia and demonstrated to provide realistic simulations of the hydrology. Copyright © 2002 John Wiley and Sons, Ltd.
Keywords: arid
multisite hydrology
clustered point process
Markov chain
overdispersion
sand dam
spate irrigation
Description: The definitive version may be found at www.interscience.wiley.com
DOI: 10.1002/hyp.355
Published version: http://www3.interscience.wiley.com/cgi-bin/abstract/90511033/ABSTRACT
Appears in Collections:Applied Mathematics publications
Aurora harvest 6
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