Statistical Modelling of Annual Maxima in Hydrology
In this paper conditional modelling of annual maxima for predicting flood water is considered. The aim is to predict flood water of rivers, where no data about discharge but data about properties of the catchment of the rivers are available. A generalized linear mixed model is used to model the annu...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Austrian Statistical Society
2016-04-01
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| Series: | Austrian Journal of Statistics |
| Online Access: | http://www.ajs.or.at/index.php/ajs/article/view/345 |
| Summary: | In this paper conditional modelling of annual maxima for predicting flood water is considered. The aim is to predict flood water of rivers, where no data about discharge but data about properties of the catchment of the rivers are available. A generalized linear mixed model is used to model the annual maxima depending on properties of the catchment and to take the correlation among measurements of one year into account. The fitted means and variances according to this model are plugged into the method of moment estimates of the parameters of the Gumbel distribution to obtain some extreme quantiles. These quantiles are commonly used to predict flood water of rivers. This approach is applied to data from Styria (Austria). The result is a satisfactory model for predicting flood water for rivers, where no data about the discharge are available. |
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| ISSN: | 1026-597X |