Title:

Probability function estimation for the maximum precipitation model using kernel estimators

Alternative title:

Estymacja funkcji prawdopodobieństwa dla modelu maksymalnego opadu za pomocą estymatorów jądra

Creator:

Karczewski, Maciej ; Kaźmierczak, Bartosz ; Michalski, Andrzej ; Kuchar, Leszek

Subject:

maximum precipitation ; kernel estimation

Users' tags:

hydrology

Description:

The distribution of maximum rainfall level is not a homogeneous phenomenon and is often characterized by multimodality, and often the phenomenon of heavy right-hand tail. Modelling this phenomenon using classic probability distributions leads to ignoring multimodality, and thus underestimating or overestimating the predicted values in the tail tails – the most important from the point of view of safe dimensioning of drainage systems. To avoid the abovementioned difficulties, a non-parametric kernel estimator method of maximum precipitation density function was used (on the example of rainfall data from a selected station in Poland). The methodology proposed in the paper (for use on any rainfall data from other meteorological stations) will allow the development of more reliable local models of maximum precipitation.

Place of publishing:

Koszalin

Publisher:

Politechnika Koszalińska

Date:

2022

Type:

artykuł w czasopiśmie

Language:

eng

Is part of:

Rocznik Ochrona Środowiska. Vol. 24, s. 260-275

Rights:

Biblioteka Politechniki Koszalińskiej

Access rights:

internet

License:

Creative Commons BY-SA 4.0