Sekundarni jezik: |
Angleški jezik |
Sekundarni naslov: |
Analysis of characteristic values of measured discharge data |
Sekundarni povzetek: |
In hydrology data could be analyzed using hydrological and statistical methods to determine characteristic values, relations between those values and properties of data series or gauging stations.
In the theoretical part of the thesis characteristic values of measured river flows were presented. Basic statistical analysis of the sample, flow duration curve, flood frequency analysis, analysis of time series, regression line and double mass curve were described.
In the second part of this thesis these methods were applied on the data of the gauging station Moste on river Ljubljanica for the period 1924 to 2011 and for the gauging station Dvor on river Gradaščica for the period 1979 to 2011. Analyses showed that maximal values of discharges at both stations were part of same event. This flood event took place on September 2010. Furthermore flood frequency
analysis was made to determine the return period of high flows. The results of different distributions were compared. Time series analyses were made with monthly and yearly data and compared with each other. At the end also regression analysis was done which showed strong connection between flows from both gauging stations with the correlation coefficient of 0.75. |
Sekundarne ključne besede: |
graduation thesis;civil engineering;discharge data analysis;flow duration curve;flood frequency analysis;regression;mass curve; |
Vrsta datoteke: |
application/pdf |
Vrsta dela (COBISS): |
Diplomsko delo/naloga |
Komentar na gradivo: |
Univ. v Ljubljani, Fak. za gradbeništvo in geodezijo |
Strani: |
XI, 47 str. |
Vrsta dela (ePrints): |
thesis |
Naslov (ePrints): |
Analysis of characteristic values of measured discharge data |
Ključne besede (ePrints): |
Analiza pretokov;krivulja trajanja;verjetnostna analiza;regresija;vsotna krivulja |
Ključne besede (ePrints, sekundarni jezik): |
Discharge data analysis;flow duration curve;flood frequency analysis;regression;mass curve |
Povzetek (ePrints): |
V hidrologiji s pomočjo različnih hidroloških in statističnih metod analiziramo hidrološke podatke in tako določamo karakteristične vrednosti, ugotavljamo razmerja med njimi ter določamo lastnosti nizov podatkov oziroma vodomernih postaj.
V prvem delu naloge smo teoretično predstavili karakteristične vrednosti merjenih pretokov. Opisali smo statistično analizo vzorca, krivuljo trajanja, analizo visokovodnih konic, analizo časovnih vrst, regresijo ter dvojno vsotno krivuljo.
V drugem delu naloge smo te metode uporabili na vodomernih postajah Moste na Ljubljanici za obdobje od leta 1924 do 2011 in Dvor na Gradaščici za obdobje od leta 1979 do 2011. Pri analizi smo ugotovili, da sta maksimalni vrednosti pretoka pri obeh postajah posledica istega dogodka, in sicer
povodnji septembra leta 2010. Izdelali smo tudi analizo visokovodnih konic s pomočjo letnih maksimumov ter ugotavljali, katere porazdelitve prinašajo največje in najmanjše ocene pretokov. Pri analizi časovnih vrst smo opravili letne ter mesečne analize, ter jih med seboj primerjali. Na koncu pa je sledila še regresija, kjer smo ugotovili precej dobro povezanost med podatki obeh postaj s
korelacijskim koeficientom 0,75. |
Povzetek (ePrints, sekundarni jezik): |
In hydrology data could be analyzed using hydrological and statistical methods to determine characteristic values, relations between those values and properties of data series or gauging stations.
In the theoretical part of the thesis characteristic values of measured river flows were presented. Basic statistical analysis of the sample, flow duration curve, flood frequency analysis, analysis of time series, regression line and double mass curve were described.
In the second part of this thesis these methods were applied on the data of the gauging station Moste on river Ljubljanica for the period 1924 to 2011 and for the gauging station Dvor on river Gradaščica for the period 1979 to 2011. Analyses showed that maximal values of discharges at both stations were part of same event. This flood event took place on September 2010. Furthermore flood frequency
analysis was made to determine the return period of high flows. The results of different distributions were compared. Time series analyses were made with monthly and yearly data and compared with each other. At the end also regression analysis was done which showed strong connection between flows from both gauging stations with the correlation coefficient of 0.75. |
Ključne besede (ePrints, sekundarni jezik): |
Discharge data analysis;flow duration curve;flood frequency analysis;regression;mass curve |
ID: |
8312903 |