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AMBIENTUM BIOETHICA BIOLOGIA CHEMIA DIGITALIA DRAMATICA EDUCATIO ARTIS GYMNAST. ENGINEERING EPHEMERIDES EUROPAEA GEOGRAPHIA GEOLOGIA HISTORIA HISTORIA ARTIUM INFORMATICA IURISPRUDENTIA MATHEMATICA MUSICA NEGOTIA OECONOMICA PHILOLOGIA PHILOSOPHIA PHYSICA POLITICA PSYCHOLOGIA-PAEDAGOGIA SOCIOLOGIA THEOLOGIA CATHOLICA THEOLOGIA CATHOLICA LATIN THEOLOGIA GR.-CATH. VARAD THEOLOGIA ORTHODOXA THEOLOGIA REF. TRANSYLVAN
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The STUDIA UNIVERSITATIS BABEŞ-BOLYAI issue article summary The summary of the selected article appears at the bottom of the page. In order to get back to the contents of the issue this article belongs to you have to access the link from the title. In order to see all the articles of the archive which have as author/co-author one of the authors mentioned below, you have to access the link from the author's name. |
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STUDIA GEOGRAPHIA - Issue no. 2 / 2013 | |||||||
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STATISTICAL ANALYSIS OF HYDROLOGICAL DATASETS TO DETERMINE LONG-TERM FORECAST: http://studiageographia.geografie.ubbcluj.ro/docs/file/2_2013/Bilasco.pdf. Authors: ŞT. BILAŞCO, CS. HORVÁTH. |
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Abstract: Statistical Analysis of Hydrological Datasets to Determine Long-Term Forecast. Hydrological forecasting takes various forms, from the calculation of certain runoff probabilities to statistical analysis of datasets recorded at gauging stations. If the first method of forecast refers only to punctual events, floods, inundations, making it useful for hydropower and watershed management facilities design, the statistical method allows longer forecasts by analyzing the measured datasets. For the statistical analysis of the hydrological data, we implemented the Thomas-Fiering model which is usually used for hydrological applications. The recorded monthly average runoff data was selected from Cluj and Răcătău gauging stations on a 52 year period. The model was used to generate synthetic values at monthly scale, during the 1950 - 2002 period, for 20 years between 1992 and 2012 it forecasted values and it was validated through the 10 years between 1992 and 2002. Keywords: hydrological forecasting, statistical method, Thomas-Fiering model
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