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  5. Estimating the parameters of the extreme value type 1 distribution for low flow series in Ireland
 
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Estimating the parameters of the extreme value type 1 distribution for low flow series in Ireland

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Author(s)
Nasr, Ahmed Elssidig 
Bruen, Michael 
Uri
http://hdl.handle.net/10197/2282
Date Issued
September 2009
Date Available
03T14:03:14Z August 2010
Abstract
In this study two different models have been developed and tested with data from 55 hydrometric stations in the Shannon River Basin in Ireland for estimating the location and the scale parameters of the EV1 distribution of the Minimum, 3-, 7-, 10-, 15-, and 30-days sustained low flow series at ungauged locations. The first is a simple linear model while the other is a fuzzy clustering model. Both models have been calibrated using the unconstrained and the constrained least squares methods. Moreover five different input scenarios including various combinations of some explanatory variables have been investigated with the two models. The results showed that: (i) the simple linear model calibrated by the constrained least squares method was the best model to estimate the EV1 location parameter using catchment area, mean annual rainfall, mean elevation, mean slope, and soil as explanatory variables, and (ii) the fuzzy clustering model calibrated by the unconstrained least squares method was the best for the EV1 scale parameter using only the first four above mentioned explanatory variables.
Sponsorship
Other funder
Other Sponsorship
Environmental Protection Agency
Type of Material
Conference Publication
Publisher
Civil-Comp Press
Copyright (Published Version)
Civil-Comp Ltd 2010
Keywords
  • Low flow frequency cu...

  • k-means fuzzy cluster...

  • EV1 distribution

  • Catchment characteris...

  • Model calibration

  • Model validation

Subject – LCSH
Hydraulics--Mathematical models
Extreme value theory
Fuzzy mathematics
DOI
10.4203/ccp.92.43
Web versions
http://dx.doi.org/10.4203/ccp.92.43
Language
English
Status of Item
Peer reviewed
Part of
B.H.V. Topping and Y. Tsompanakis (eds.). Proceedings of the First International Conference on Soft Computing Technology in Civil, Structural and Environmental Engineering
Description
Presented at the First International Conference on Soft Computing Technology in Civil, Structural and Environmental Engineering, Madeira, 1-4 September, 2009
ISSN
1759-3433
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-sa/1.0/
Owning collection
Civil Engineering Research Collection
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