Applicability of Chemometric Methods for Estimating the Influence of Environmental Factors on the Water Quality on the Example of Some Lakes in Wolin National Park

• Autorzy: Bucior-Kwaczyńska Anna , Miller Tymoteusz

Warianty tytułu

PL

Możliwość zastosowania metod chemometrycznych do oceny wpływu czynników środowiskowych na jakość wody na przykładzie jezior w Wolińskim Parku Narodowym

• Języki publikacji: EN

Abstrakty

EN

Selected water quality indices collected form Czajcze and Domysłowsie Lakes in Wolin National Park in years 2000-2013 were studied. With the chemometric procedures an attempt was made to assess the impact of selected environmental factors in particular water level of lakes and monthly sum of precipitation on hydrochemistry of the lakes. It has been demonstrated that the level of lake waters can significantly shape the quality of the examined waters on the runoff of a river through lakes.

PL

Oznaczano wybrane wskaźniki jakości wody zebrane z jezior Czajcze i Domysłowskie w Wolińskim Parku Narodowym w latach 2000-2013. Przy użyciu procedur chemometrycznych podjęto próbę oceny wpływu wybranych czynników środowiskowych, w szczególności poziomu wody w jeziorach, jak i miesięcznej sumy opadów, na hydrochemię jezior. Wykazano, że poziom wód jeziornych może znacząco wpłynąć na jakość badanych wód podczas spływu rzeki przez jeziora.

Słowa kluczowe

EN

PCA; DA; CA; Wolin National Park; water quality

PL

PCA; DA; CA; Woliński Park Narodowy; jakość wody

• Wydawca: Politechnika Koszalińska
• Czasopismo: Rocznik Ochrona Środowiska
• Rocznik: 2019
• Tom: Tom 21, cz. 1
• Strony: 421--438
• Opis fizyczny: Bibliogr. 49 poz., tab., rys.

Twórcy

autor

Bucior-Kwaczyńska Anna

• Szczecin University, Poland

autor

Miller Tymoteusz

• Szczecin University, Poland

Bibliografia

• 1. Aksever, F., & Büyükşahin, S. (2017). Assessment of variations in water quality using statistical techniques: a case study of Işıklı Lake, Çivril/Denizli, Turkey. Arabian Journal of Geosciences, 10, 143-160. DOI: 10.1007/s12517-017-2877-4
• 2. APHA (2005). Standard methods for the examination of water and wastewater, 21st ed. Washington, D.C.: APHA.
• 3. APHA, AWWA, WEF (1998). Standard methods for the examination of water and wastewater, 20th ed. Washington, D.C.: APHA-AWWA-WEF.
• 4. Arslan, H. (2013). Application of multivariate statistical techniques in the assessment of groundwater quality in seawater intrusion area in Bafra Plain, Turkey. Environmental Monitoring and Assessment, 185(3), 2439-2452. DOI: 10.1007/ s10661-012-2722-x
• 5. Bailey, S. (2012). Principal Component Analysis with Noisy and/or Missing Data. Publications of the Astronomical Society of the Pacific, 124(919), 1015-1023. DOI: 10.1086/668105
• 6. Bao, J., Hou, Z., Huang, M., Liu, Y. (2015). On approaches to analyze the sensitivity of simulated hydrologic fluxes to model parameters in the community land model. Water, 7, 6810-6826. DOI: http://dx.doi.org/10.3390/w7126662
• 7. Basilevsky, A.T. (2009). Statistical Factor Analysis and Related Methods: Theory and Applications. New York-Singapore: John Wiley & Sons. DOI: 10.1002/978047 0316894.
• 8. Bu, H., Wang, W., Song, X.F., Zhang, Q. (2015). Characteristics and source identification of dissolved trace elements in the Jinshui River of the South Qinling Mts., China. Environmental Science and Pollution Research, 22, 14248-14257. DOI: 10.1007/s11356-015-4650-0
• 9. Bucior, A., & Poleszczuk, G. (2013). What Happens in the Waters of the Warnowo, Rabiaz, Czajcze and Domyslowskie Lakes in the Wolin National Park during Summer Stagnation? Ecological Chemistry and Engineering A, 20(1), 7-20. DOI: 10.2428/ecea.2013.20(01)001
• 10. Chen, J., Li, F., Fan, Z., Wang, Y. (2016). Integrated Application of Multivariate Statistical Methods to Source Apportionment of Watercourses in the Liao River Basin, Northeast China. International Journal of Environmental Research and Public Health, 13 (10), 1035. DOI: 10.3390/ijerph13101035
• 11. Dąbrowski, K. (2005). Program ochrony środowiska dla gminy Wolin, Międzyzdroje: Wyd. Związek Gmin Wyspy Wolin.
• 12. Dray, S., & Josse, J. (2015). Principal component analysis with missing values: a comparative survey of methods. Plant Ecology, 216, 657-667. DOI: 10.1007/s11258- 014-0406-z
• 13. Dray, S., Pettorelli, N., Chessel, D. (2003). Multivariate analysis of incomplete mapped data. Trans GIS, 7, 411-422. DOI: 10.1111/1467-9671.00153
• 14. Einax, J. (1995). Chemometrics in Environmental Chemistry - Application. Berlin Heidelberg: Springer-Verlag. DOI: 10.1007/978-3-540-49150-7.
• 15. Garizi, A.Z., Sheikh V., Sadoddin A. (2011). Assessment of seasonal variations of chemical characteristics in surface water using multivariate statistical methods. International Journal of Environmental Science and Technology, 8 (3), 581-592. DOI: 10.1007/BF03326244
• 16. Giri, S., & Singh, A.K. (2014). Risk assessment, statistical source identification and seasonal fluctuation of dissolved metals in the Subarnarekha River, India. Journal of Hazardous Materials, 265, 305-314. DOI: https://doi.org/10.1016/j. jhazmat. 2013.09.067
• 17. Gong, W., Duan, Q., Li, J., Wang C., Di, Z., Dai, Y., Ye, A., Miao, C.(2015). Multiobjective parameter optimization of common land model using adaptive surrogate modeling. Hydrology and Earth System Sciences, 19(5), 2409-2425. DOI: 10.5194/hess-19-2409-2015
• 18. Grzegorczyk, K., Poleszczuk G., Bucior, A., Jóźwik, I. (2008). Shortened evaluation of surface water quality of Warnowskie Lakes (Wolin National Park). Limnological Review, 8(1-2), 21-25.
• 19. Hermanowicz, W., Dojlido, J., Dożańska, W., Koziorowski, B., Zerbe, J. (1999). Fizyczno- chemiczne badanie wody i ścieków. Warszawa: Arkady.
• 20. Hou, D., Liu, S., Zhang, J., Chen, F., Huang, P., Zhang, G. (2014). Online Monitoring of Water-Quality Anomaly in Water Distribution Systems Based on Probabilistic Principal Component Analysis by UV-Vis Absorption Spectroscopy. Journal of Spectroscopy, 2014, Article ID 150636. DOI: http://dx.doi.org/10.1155/2014/ 150636
• 21. Hou, Z., Huang, M., Leung, L.R., Lin, G., Riccuito, D.M. (2012). Sensitivity of surface flux simulations to hydrologic parameters based on an uncertainty quantification framework applied to the Community Land Model. Journal of Geophysical Research, 117(15), D15108. DOI: 10.1029/2012JD017521
• 22. Howaniec, N., & Smoliński, A. (2014). Influence of fuel blend ash components on stream co-gasification of coal and biomass – Chemometric study. Energy, 78, 814-825. DOI: https://doi.org/10.1016/j.energy.2014.10.076
• 23. Jańczak, J. (1997). Atlas jezior Polski – tom II. Jeziora zlewni rzek Przymorza i dorzecza dolnej Wisły. Poznań: Bogucki Wydawnictwo Naukowe.
• 24. Kannel, P.R., Lee, S., Kanel, S.R., Khan, S.P. (2007). Chemometric application in classification and assesment of monitoring locations of an urban river system. Analytica Chimica Acta, 582 (2), 390-399. DOI: 10.1016/j.aca.2006.09.006
• 25. Kowalkowski, T., Zbytniewski, R., Szpejna, J., Buszewski, B. (2006). Application of chemometrics in river water classification. Water Research, 40 (4), 744-752. DOI: 10.1016/j.watres.2005.11.042
• 26. Krajewska, Z., Fac-Beneda, J. (2016). Transport of biogenic substances in watercourses of Coastal Landscape Park. Journal of Elementology, 21(2), 413-423. DOI: 10.5601/jelem.2015.20.1.800
• 27. Krishna, A.K., & Mohan, K.R. (2014). Risk assessment of heavy metals and their source distribution in waters of a contaminated industrial site. Environmental Science and Pollution Research, 21, 3653-3669. DOI: 10.1007/s11356-013-2359-5
• 28. Kulikowska-Karpińska, E., & Kłusewicz, K. (2009). Ocena chemicznych zanieczyszczeń wód sztucznego zbiornika w Siemianówce w latach 2007-2008. Ochrona Środowiska i Zasobów Naturalnych, 40, 497-504.
• 29. Kumarasamy, P, James, R.A., Dhams, H.U., Byeon, C.W., Ramesh, R. (2014). Multivariate water quality assesment for the Tamiraparani river basin, Southern India. Environmental Earth Science,71, 2241-2451. DOI: 10.1007/s12665-013-2644-0.
• 30. Little, R. J., & Rubin, D.B. (2014). Statistical analysis with missing data. New York: John Wiley and Sons. DOI:10.1002/9781119013563
• 31. Lopata, M., Polielarczyk, D., Templin, T. (2016). Changes of water quality of Lake Hańcza – are the water resources of the deepest lake of the central part of eutropean depression threatened? In: Water, Resources, Forest, Marine and Ocean Ecosystems Conference Proceedings, Vol. I, International Multidisciplinary Scientific GeoConference- SGEM, 137-144 p.
• 32. Mao, X., Kuang, C., Gu, J., Kolditz, O., Chen, K., Zhang, J., Zhang, W., Zhang, Y. (2017). Analysis of Chlorophyll-a Correlation to Determine Nutrient Limitations in the Coastal Waters of the Bohai Sea, China. Journal of Coastal Research, 33 (2), 396-407. DOI: 10.2112/JCOASTRES-D-16-00023.1
• 33. Mostofa, K.M.G., Liu, C., Mottaleb, M.A., Wan, G., Ogawa, H., Vione, D., Yoshioka, T., Wu, F. 2013. Dissolved organic matter in natural waters. Photobiogeochemistry of Organic Matter. New York: Springer. 1-137. DOI:10.1007/978-3-642-32223-5 Pitter, P. (1999). Hydrochemie. Praga: VSCHT.
• 34. Poleszczuk, G., Bucior, A., Tokarz, M., Pierwieniecki, J. (2012). Trophic status of the Rusałka Lake in Szczecin in years 1999-2010. Acta Biologica, 19, 37-48.
• 35. Rafałowska, M., (2008). Ocena zawartości azotanów w wodach powierzchniowych obszaru szczególnie zagrożonego zanieczyszczeniami ze źródeł rolniczych. Proceedings of ECOpole, 2 (2), 473-478.
• 36. Ray, J., Hou, Z., Huang, M., Sargsyan, K., Swiler, L. (2015). Bayesian calibration of the Community Land Model using surrogates. SIAM/ASA Journal on Uncertainty Quantification, 3 (1), 199-233. DOI: http://dx.doi.org/10.1137/140957998
• 37. Ren H., Hou, Z., Huang, M., Bao, J., Sun, Y., Tesfa, T., Leung, L.R. (2016). Classification of hydrological parameter sensitivity and evaluation of parameter transferability across 431 US MOPEX basins. Journal of Hydrology, 536, 92-108.
• 38. Sahooa, M.M., Patrab, K.C., Khatuac, K.K. (2015). Inference of Water Quality Index using ANFIA and PCA. Aquatic Procedia 4, 1099-1106. DOI: 10.1016/ j.aqpro.2015.02.139
• 39. Singh, K.P., Mali,k A., Mohan, D., Sinha, S. (2004). Multivariate statistical techniques for the evaluation of spatial and temporal variations in water quality of Gomti River (India) - a case study. Water Research, 38 (18), 3980-3992. DOI: http://dx.doi.org/10.1016/j.watres.2004.06.011
• 40. Siwek, J., Rzonca, B., Jaśkowiec, B., Plenzler, J., Płaczkowska, E. (2013). Natural factors affecting the chemical composition of water in the catchment of Wołosatka Stream (High Bieszczady Mts.). In: Kozak, J., Ostapowicz, K., Bytnerowicz, A., Wyżga, B. (eds.), The Carpathians: integrating nature and society towards sustainability. Berlin: Heidelberg.
• 41. Smoliński, A., Drobe,k L., Dombek, V., Bąk, A. (2016). Modeling of experimental data on trace elements and organic compounds content in industrial waste dumps. Chemosphere, 162, 189-198. DOI: https://doi.org/10.1016/j.chemosphere. 2016.07.086
• 42. Sorokovikova, L.M., Sinyukovich, V.N., Tomberg, I.V., Marinaite, I.I., Khodzher, T.V. (2015). Assessing the Water Quality in the Tributary Streams of Lake Baikal From Chemical Parameters. Geography and Natural Resources, 36 (1), 31-39. DOI: 10.1134/S1875372815010059
• 43. Thomas, J., Joseph, S., Thrivikramji, K.P. (2015). Discriminant analysis for characterization of hydrochemistry of two mountain river basins of contrasting climates in the southern Western Ghats, India. Environmental Monitoring Assessement, 187(6), 1- 21. DOI: 10.1007/s10661-015-4589-0.
• 44. Vega, M., Pardo, R., Barrado, E., Deban, L. (1998). Assessment of seasonal and polluting effects on the quality of river water by exploratory data analysis. Water Research, 32 (12), 3581-3592, DOI: http://dx.doi.org/10.1016/S0043-1354(98)00138-9
• 45. Wawrzyniak, W., Poleszczuk, G., Bucior A., Pierwieniecki J., Laskowski, F., Tymanowski, Ł., Grynfelder, K., Rutkowska, J. (2012). Wody powierzchniowe jezior Pojezierza
• 46. Warnowsko-Kołczewskiego w Wolińskim Parku Narodowym – status troficzny wiosną 2012 roku, w: Zaborowski T (red.), Satori w publicznym bezpieczeństwie, Gorzów Wlkp.-Poznań: Wyd. Inst. Badań i Ekspertyz Nauk. w Gorzowie Wlkp.
• 47. Wold, S. 1995. Chemometrics; what do we mean with it, and what do we want from it? Chemometrics and Intelligent Laboratory Systems, 30(1), 109-115. DOI:https://doi.org/10.1016/0169-7439(95)00042-9.
• 48. Zhang, H., Jiang, Y., Wang, M., Wang, P., Shi, G., Ding, M. (2017). Spatial characterization, risk assessment, and statistical source identification of the dissolved trace elements in the Ganjiang River-feeding tributary of the Poyang Lake, China. Environmental Science and Pollution Research, 24 (3), 2890-2903. DOI: 10.1007/s11356-016-7988-z
• 49. Zurovec, O., Cadro, S., Kumar, Sitaula B. (2017). Quantitative Assessment of Vulnerability to Climate Change in Rural Municipalities of Bosnia and Herzegovina. MDPI, 9, 1208-1226. DOI:10.3390/su9071208

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).