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Warianty tytułu
Methods of solute concentration estimation in river outflow
Języki publikacji
Abstrakty
The main aim of the present study is to compare a wide set of methods for estimation solute concentrations in river outflow, both statistical parameters of population and instant values. The reference data set consist two years of daily measurements from two catchments: lowland and mountainous. Each data set was modified to simulate seven series of measurements with weekly intervals. This allows to compare both accuracy and in some extent also precision of each tested estimation methods. No one method are always better than others. It depends not only on parameter under consideration but also on particular data subset. Generally the worse choice in terms of both accuracy and precision is to use rating relationships with discharge. Surprisingly very good result was obtained using simple linear interpolation. For routine calculation of river solute concentration from infrequent data, cubic spline was recommended both by it’s good performance, simplicity and popularity in relatively chip mathem atical-statistical software for PC. The best method in comparison was collocated ordinary cokriging (cOCK). It’s performance is similar good both were secondary variable was discharge or specific electric conductivity of water (SEC). It is suggested that cOCK will be particularly useful for generating synthetic river solute concentration data for comparison of different methods for solute loads calculation (eg. Webb et al. 2000).
Słowa kluczowe
Rocznik
Tom
Strony
112--129
Opis fizyczny
Bibliogr. 16 poz., tab.
Twórcy
autor
- Institute of Quaternary Research and Geoecology UAM ul. Fredry 10 61-710 Poznań Poland
Bibliografia
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- HAAS T.C. 1990: Kriging and automated variogram modeling within a moving window. Atmosphcric Environment 24A, 1759-1769.
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- KOSTRZEWSKI A., MAZUREK M., ZWOLIŃSKI Z. 1994b: Monitoring hydrologiczny i hydrochemiczny w Stacji Geoekologicznej w Storkowie w latach 1986-1993. [W:] A. Kostrzewski (red.). Zintegrowany Monitoring Środowiska Przyrodniczego. Stacja Bazowa Storkowo, Biblioteka Monitoringu Środowiska, Warszawa, 45-68.
- LITTLEWOOD I.G. 1995: Hydrological regimes, sampling strategies, and assessment of errors in mass load estimates for United Kingdom rivers. Environmental International, vol. 21, no. 2 , 211-220.
- PANNATIER Y. 1996: VARIOWIN. Software for Spatial Data Analysis in 2D. Springer-Verlag, New York, 1-91.
- SOJA R. 1981: Analiza odpływu z fliszowych zlewni Bystrzanki i Ropy (Beskid Niski). Dokumentacja Geograficzna IGiPZ PAN, z. 1, 1-91.
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- STARKEL L., GIL E. (red.). 1994: Zintegrowany monitoring środowiska przyrodniczego. Stacja Bazowa Szymbark (Karpaty Fliszowe). Biblioteka Monitoringu Środowiska, Warszawa, 1-169.
- WACKERNAGEL H. 1998: Multivariate geostatistics. 2nd edition. Springer-Verlag, Berlin Heidelberg, 1-291.
- WEBB B.W., PHILLIPS J.M., WALLING D.E. 2000: A new approach to deriving „ best estimate” Chemical fluxes for rivers draining the LOIS study area. The Science of the Total Environment 251/252, 45-54.
- WEBB B.W., PHILLIPS J.M., WALLING D.E., LITTLEWOOD I.G., WATTS C.D., LEEKS G.J.L. 1997: Load estimation methodologies for British rivers and their relevance to the LOIS RACS(R) programme. The Science o f the Total Environment 194/195, 379-389.
- WELC A. 1985: Zmienność denudacji chemicznej w Karpatach Fliszowych (na przykładzie zlewni potoku Bystrzanka). Dokumentacja Geograficzna IGiPZ PAN, z. 5, 1-102.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-6f17c443-327f-4920-b660-ed413fa288e3