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Tytuł pozycji:

Using the step linear regression at the analysis of hydrological conditions of the Frysavka drainage basin

Tytuł:
Using the step linear regression at the analysis of hydrological conditions of the Frysavka drainage basin
Autorzy:
Masicek, T.
Toman, F.
Palat, M.
Tematy:
runoff curve number
correlation index
landscape cover
DesQ–MAXQ model
run-off
regression analysis
correlation analysis
retention
hydrological condition
drainage
Frysavka basin
statistical analysis
Data publikacji:
2011
Wydawca:
Polska Akademia Nauk. Stowarzyszenie Infrastruktura i Ekologia Terenów Wiejskich PAN
Język:
angielski
Prawa:
Wszystkie prawa zastrzeżone. Swoboda użytkownika ograniczona do ustawowego zakresu dozwolonego użytku
Źródło:
Infrastruktura i Ekologia Terenów Wiejskich; 2011, 11
1732-5587
Dostawca treści:
Biblioteka Nauki
Artykuł
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Problems of the retention capacity of the landscape and related runoff conditions are at present, at the time of the occurrence of frequent storm floods, a topical problem. Our research was aimed at the evaluation of effects of physical-geographical factors on hydrological conditions of the Fryšávka River drainage area occurring in the southern part of the Žďárské vrchy CHKO (Žďárské Hills Protected Landscape Area) depending on the current position of the landscape cover. Preparation and analyses of source data were carried out in ArcGIS 9.2 in the ArcView software product by means of the set of integrated software applications ArcMap, ArcCatalog and ArcToolbox. To determine hydrological conditions at the absence of hydrometric observations a method was used of numbers of runoff curves CN in a modification of the DesQ-MAXQ deterministic episode model. Based on hydrological characteristics, potential retention was monitored as well as the volume of flood wave, concentration time and peak discharge. Hydrological modelling was carried out on a design storm precipitation with the return period of 100 years. The significance of physical-geographical factors affecting the landscape retention capacity and runoff conditions was quantified by the statistical method of multiple regression and correlation analysis on the set of 95 partial drainage areas of the studied region. The analyses were carried out using the UNISTAT system. The method makes possible to select independent variables by gradual steps from most important down to least important. Finally, using the step linear regression, a certain number of independent variables was selected mostly affecting the size of a respective dependent variable together with the quantification of their operation through regression coefficients. Results achieved could be used at the implementation of preventive measures resulting in increasing the retention capacity of partial drainage areas, which served for the registration of major runoffs from a unit area.

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