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Korelacje między wybranymi zanieczyszczeniami w ściekach deszczowych

Górska K., Szeląg B., Górski J., Bąk Ł.

Proceedings of ECOpole

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2014

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Vol. 8, No. 2

497--504

PL

W ostatnim okresie coraz częściej zwraca się uwagę na fakt, że zanieczyszczenia ścieków deszczowych to nie tylko definiowane odpowiednimi przepisami zawiesiny ogólne i związki ropopochodne, ale też inne związki mające wpływ na środowisko gruntowe i wody odbiornika. Należą do nich m.in. metale ciężkie, chlorki, siarczany, biogeny, zanieczyszczenia mikrobiologiczne. Zróżnicowanie czynników wpływających na jakość ścieków deszczowych, związanych między innymi z zanieczyszczeniem powietrza atmosferycznego czy rodzajem pokrycia terenu oraz prowadzonej działalności człowieka, powoduje, że określenie typowego ich składu jest zadaniem bardzo trudnym, szczególnie jeśli mamy do czynienia z terenami zurbanizowanymi. W rezultacie duże zanieczyszczenie wód opadowych odprowadzanych z terenów miejskich wpływa zdecydowanie na okresowe pogorszenie stanu czystości wód oraz destabilizuje równowagę biologiczną w odbiorniku. W artykule przedstawiono wyniki badań stanu zanieczyszczenia ścieków deszczowych spływających systemem kanalizacyjnym z obszaru wybranej zlewni o typowo miejskim charakterze, zlokalizowanej w centrum Kielc. Do analiz wytypowano wezbrania z okresu letniego i zimowego, w czasie których pobrano za pomocą automatycznego samplera próby ścieków deszczowych i roztopowych. Oznaczono w nich stężenia metali ciężkich (Ni, Cu, Cr, Zn, Pb, Cd), chlorków oraz określono pH i temperaturę. Do oceny korelacji między analizowanymi wskaźnikami zanieczyszczeń zastosowano metodę składowych głównych, a na tej podstawie sporządzono biploty oraz wyznaczono współrzędne czynnikowe.

EN

Recently, increasing attention has been paid to the fact that the rainfall wastewater pollution is defined not only by the suspended solids and oil derivatives, the admissible levels of which are given in regulations, but also by other compounds that affect the soil environment and the waters of the receiver. Those include, among others, heavy metals, chlorides, sulphates, biogenic substances, and microbiological pollutants. The quality of rainfall wastewater is influenced, among others by atmospheric air pollution, type of terrain coverage, and human activity. Diversity of factors that affect the quality of rainfall wastewater is enormous, which makes it extremely difficult to determine a typical composition of such wastewater, especially in urbanised areas. As a result, high pollution of rainfall waters running off from urban areas has a decisive impact on periodic deterioration of water purity and it disturbs the biological balance in the receiver. The paper presents the results of investigations on the pollution of rainfall wastewater running off, through a sewer system, from the area of selected catchment, typically urban in character, located in the centre of Kielce. The analysis was conducted for high water stages occurring in summer and winter periods. Samples of rainfall and spring thaw wastewater were collected using an automatic sampler. Heavy metals (Ni, Cu, Cr, Zn, Pb, Cd) and chloride concentrations, pH and temperature were determined for those samples. To assess the correlation between analysed pollution indexes, the Principal Component Analysis was used, on the basis of which biplots were made and factor coordinates were determined.

2

Metoda biplot w interpretacji danych złożonych (CDA) w geologii

Labus K., Labus M.

Przegląd Geologiczny

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2010

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Vol. 58, nr 5

436-442

EN

Compositional data consist of compositions of parts summing to some whole (e.g.: 100%, 1). Such "closed" data are very popular in geochemistry, sedimentology, hydrogeology and environmetrics. This paper presents the data visualization method by means of the biplot method - a statistical technique widely applied in Compositional Data Analysis. This method enables a graphical display of observations and variables on the same chart, in a way that approximates their correlation. In a biplot the observations are marked with points, and variables - by rays emanating from the origin. Both their lengths and directions are important to the interpretation. The paper presents two examples of implementation of biplots in analysis of hydrogeological and petrological data. The first example concerns petrological data set for pores and skeleton grains of different Polish sandstones. The biplot visualization unveiled a possible independence of subcompositions of transitional pores (T) and macropores (R), as well as submacropores (S) and skeleton grains (Re). The use of this method made it also possible to demonstrate the rule according to which the share of transitive pores decreases at the advantage of real macropores from younger to older rocks, what is related to diagenesis processes. The second example concerns interpretation of hydrological data on chemistry of mine water of the "Rydułtowy" coal mine. In this case the graphical interpretation of biplot revealed large relative variation between HCO3 –-Cl–, HCO3–-I – and HCO3–-Na+. Besides, on the same basis, possible independence between the ion couples: HCO3--Br–, Ca2+-Na+, HCO3–-Cl–, Br-Na+, HCO3–-Cl–and Ca2+-K+ was identified and consequently verified using statistical tests. Additionally, taking into account geometrical features of the relevant biplot, a formula was proposed for defining relationships between shares of ions: Ca2+, Mg2+, Na+ and Cl–<.sup>, SO42–, HCO>sub>3–. These relationships are most apparent for poly-ion groundwater of the active exchange zone, where the ratios of the above mentioned components are similar to each other, despite a slight predominance of SO42– and HCO3– fractions.

3

Grade exploratory methods applied to some medical data sets

Pleszczyńska E., Szczesny W.

Biocybernetics and Biomedical Engineering

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2002

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Vol. 22, no. 1

17-30

EN

Two sets of medical categorical data are analyzed by means of grade exploratory methods, based on one fundamental procedure called the grade correspondence analysis (GCA). A special attention is put on visualization. The paper is a contribution to discussion concerning visualization of categorical data, which is going on in contemporary statistical literature.