Title:

Applications of informatics in environment engineering and medicine * Water and air quality management * Missing data in water quality time series

Subtitle:

Książka = Book ; KS/6/2005/T42R01P02

Creator:

Gnauck, Albrecht ; Luther, Bernhard

Publisher:

Instytut Badań Systemowych. Polska Akademia Nauk ; Systems Research Institute. Polish Academy of Sciences

Place of publishing:

Warszawa

Date issued/created:

2005

Description:

[6], 25-40 stron ; 21 cm ; Bibliografia s. 39-40

Type of object:

Książka/Rozdział

Abstract:

Missing data in water quality time series lead to some generał problems in many fields of environmental research and simulation. They cause not only difficulties in process identification and parameter estimation but also misinterpretations of spatial and temporal variations of water quality indicators. Mostly, time series represent samples of data at discrete time events based on various sampling intervals. For modelling and simulation of water quality processes time series must be mapped on a regular time grid. This procedure is known as re-sampling of time series and consists on data interpolation or, in the case of disturbed signals, on data approximation. Some well-known linear and nonlinear interpolation methods exist white data approximation can be done by static and dynamie procedures. Regression type functions or in the case of cycling time series Fourier approximations are mainly used. By these procedures equidistant data will be obtained. In opposite of that, digital filtering procedures deliver consistent equidistant data estimates based on major signal frequencies. In the paper different algorithms of data interpolation and approximation are applied on irregularly sampled water quality time of rivers with different hydraulic conditions. Additionally, low pass filters are checked to find out the best filter function for each water quality indicator.

Relation:

Książka = Book

Resource type:

Tekst

Detailed Resource Type:

Książka

Source:

KS-2005-06-T42R01P02

Language:

eng

Language of abstract:

eng

Rights:

Licencja Creative Commons Uznanie autorstwa 4.0

Terms of use:

Zasób chroniony prawem autorskim. [CC BY 4.0 Międzynarodowe] Korzystanie dozwolone zgodnie z licencją Creative Commons Uznanie autorstwa 4.0, której pełne postanowienia dostępne są pod adresem: ; -

Digitizing institution:

Instytut Badań Systemowych Polskiej Akademii Nauk

Original in:

Biblioteka Instytutu Badań Systemowych PAN

Projects co-financed by:

Program Operacyjny Polska Cyfrowa, lata 2014-2020, Działanie 2.3 : Cyfrowa dostępność i użyteczność sektora publicznego; środki z Europejskiego Funduszu Rozwoju Regionalnego oraz współfinansowania krajowego z budżetu państwa

Access:

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