DIATOMS OF SEYDISUYU STREAM BASIN (TURKEY) AND ASSESSMENT OF WATER QUALITY BY STATISTICAL AND BIOLOGICAL APPROACHES

Tahir Atıcı; Cem Tokatlı; Arzu Çiçek

DIATOMS OF SEYDISUYU STREAM BASIN (TURKEY) AND ASSESSMENT OF WATER QUALITY BY STATISTICAL AND BIOLOGICAL APPROACHES

Abstract

In the present study, diatom flora of Seydisuyu Stream Basin (Turkey) was investigated and the water quality of the system was evaluated in a statistical and biological view. Epipelic (EPP), epilithic (EPL) and epifitic (EPF) diatoms were seasonally collected from 12 stations in 2012 along the Seydisuyu Stream Basin and some physical and chemical water quality parameters (temperature, salinity, TDS, pH, ORP, conductivity, nitrate, nitrite and phosphate) were measured during the field and laboratory studies. Biological Diatom Index (IBD) was used to assess the water quality of the basin and some mono (Pearson Correlation Index and Matrixplot Distribution Diagrams) and multi (Cluster Analysis and Factor Analysis) statistical methods were applied to detected all physical, chemical and biological data. According to data observed, Seydisuyu Stream Basin has II. – III. Class water quality in terms of investigated water quality parameters (Turkish Regulations) and a total of 48 diatom species were recorded for the basin by counting a total of 22.229 valves. Cymbella lanceolata, Diatoma vulgare, Fragilaria construens, Hantzschia amphioxys, Meridion circulare, Navicula cincta, Neidium iridis, Navicula venata, Pinnularia brebissonii, Synedra acus and Surirella ovata were the most dominant species in the region. According to result of IBD, the investigated region was in a mesotrophic state and has a moderate water quality. According to results of Factor Analysis, 9 factors explained 81.29% of the total variance and according to results of Cluster Analysis, stational similarity coefficients were determined as IBD Indices (0.98) > Environmental Parameters (0.85) > Diatom Flora (0.77) respectively.

Keywords

References

[1] Ács, É., Szabó, K., Tóth, B., Kiss, K. T. (2004). Investigation of benthic algal communities, especially dıatoms of some Hungarian streams in connection with reference conditions of the water framework directives. Acta Botanica Hungarica, 46 (3–4): 255–277.
[2] Akin, B. S., Atici, T., Katircioglu, H., Keskin, F. (2010). Investigation of water quality on Gökçeekaya dam lake using multivariate statistical analysis, in Eskişehir, Turkey. Environ Earth Sci DOI 10.1007/s12665-010-0798-6.
[3] Atici, T., Ahiska, S. (2005). Pollution and Algae of Ankara Stream, Gazi University J of Sci 18.
[4] Atici, T., Obali, O. (2006). Seasonal Variation of Phytoplankton and Value of Chlorophyll a in the Sarıyar Dam Reservoir (Ankara, Turkey). Turk J Bot 30: 349 – 357.
[5] Atici, T., Obali, O. (2010). The diatoms of Asartepe Dam Lake (Ankara), with environmental and some physicochemical properties. Turk J Bot 34: 541 – 548.
[6] Atıcı, T., Tokatlı, C., Çiçek, A. (2016). Non – Silica Algae of Seydisuyu Stream Basin (Eskişehir, Turkey). Biological Diversity and Conservation, 9/3: 84-90.
[7] Aydın, G. Ş., Büyükışık, B. (2014). Effects on The Species Specific Variables Nutrient Pulses: Thalassiosira allenii (Takano). Journal of Tekirdag Agricultural Faculty. 11 (3): 82-90.
[8] Biggs, B. J. F. (1995). The contribution of flood disturbance, catchment geology and land use to the habitat template of periphyton in stream ecosystems. Freshwater Biol 33: 19 –438.

[9] Carpenter, K. D., Waite, I. R. (2000). Relations of habitat-specific algal assemblages to land use and water chemistry in the Willamette Basin, Oregon. Res Ec En 64: 247–257.
[10] Coste, M., Boutry, S., Tison-Rosebery, J., Delmas, F. (2009). Improvements of the Biological Diatom Index (BDI): Description and efficiency of the new version (BDI-2006). Ecol Indic 9: 621 – 650.
[11] Cox, E. J. (1996). Identification of Freswater Diatoms from Live Material. Chapman & Hall. First Edition, 158 pp.
[12] Çiçek, A., Bakiş, R., Uğurluoğlu, A., Köse, E., Tokatlı, C. (2013). The Effects of Large Borate Deposits on Groundwater Quality of Seydisuyu Basin (Turkey). Pol J Environ Stud 22.
[13] Delgado, C., Pardo, I., García, L. (2012). Diatom communities as indicators of ecological status in Mediterranean temporary streams (Balearic Islands, Spain). Ecological Indicators 15: 131–139.
[14] Gomà, J., Ortiz, R., Cambra, J., Ector, L. (2004). Water quality evaluation in Catalonian Mediterranean Rivers using epilithic diatoms as bioindicators. Vie Milieu, 54, 81-90.
[15] Gürbüz, H., Kivrak, E. (2002). Use of epilithic diatoms to evaluate water quality in the Karasu River of Turkey. J. Environmental Biology, 23(3): 239-246.
[16] Hofmann, G. (1994). Aufwuchs-Diatomeen in Seen und ihre Eignung als Indikatoren der Trophie. Bibl Diatomol 30: 241.
[17] Eti Maden http://www.etimaden.gov.tr
[18] http://omnidia.free.fr/download.htm
[19] Iscen, C. F., Emiroglu, Ö., Ilhan, S., Arslan, N., Yilmaz, V., Ahiska, S. (2008). Application of multivariate statistical techniques in the assessment of surface water quality in Uluabat Lake, Turkey. Environmental Monitoring and Assessment, 144:269-276.
[20] Kalyoncu, H., Çiçek, N. L., Akköz, C., Yorulmaz, B. (2009). Comparative performance of diatom indices in aquatic pollution assessment. African Journal of Agricultural Research, 4(10): 1032-1040.
[21] Köse, E., Tokatlı, C., Çiçek, A. (2014). Monitoring Stream Water Quality: A Statistical Evaluation. Polish Journal of Environmental Studies, 23 (5): 1637-1647.
[22] Köse, E., Çiçek, A., Uysal, K., Tokatlı, C., Emiroğlu, Ö., Arslan, N. (2015). Heavy Metal Accumulations in Water, Sediment and Some Cyprinidae Fish Species From Porsuk Stream (Turkey). Water Environment Research, 87 (3): 195-204.
[23] Krammer, K., Lange-Bertalot, H. (1986). “Bacillariophyceae. 1. Teil: Naviculaceae. Süßwasser von mitteleuropa”, Gustav Fischer Verlag, Band 2-1, Stuttgart.
[24] Krammer, K., Lange-Bertalot, H. (1988). “Bacillariophyceae. 2. Teil: Bacillariophyceae, Epithemiaceae, Surirellaceae. Süßwasser von mitteleuropa” Gustav Fischer Verlag, Band 2-2, Stuttgart.
[25] Krammer, K., Lange-Bertalot, H. (1991a). “Bacillariophyceae. 3. Teil: Centrales, Fragilariaceae, Eunotiaceae. Süßwasser von mitteleuropa”, Gustav Fischer Verlag, Band 2-3, Stuttgart.
[26] Krammer, K., Lange-Bertalot, H. (1991b). “Bacillariophyceae. 4. Teil: Achnantheceae, Kritische Ergänzungen zu Navicula (Lincolatae) und Gomphonema”, Cesamptliteraturverzeichnis . Süßwasser von mitteleuropa. Gustav Fischer Verlag, Band 2-4, Stuttgart.
[27] Leland, H. V., Porter, S. D. (2000). Distribution of benthic algae in the upper Illinois River basin in relation to geology and land use. Freshwater Biol 44: 279 – 301.
[28] Lenoir, A., Coste, M. (1996). Development of a practical diatom index of overall water quality applicable to the French national water board network. In: B.A. Whitton and E. Rott (Eds.), Use of Algae for Monitoring Rivers II. Institut fur Botanik. Univ. Innsbruck 29-43.
[29] Liu, C. W., Lin, K. H., Kuo, Y. M. (2003). Application of factor analysis in the assessment of groundwater quality in a Blackfoot disease area in Taiwan. Sci Total Environ 313: 77–89.
[30] Martín, G., Toja, J., Sala, S. E., Fernández, M. R., Reyes, I., Casco, M. A. (2010). Application of diatom biotic indices in the Guadalquivir River Basin, a Mediterranean basin. Which one is the most appropriated? Res Ec En 170: 519 –534.
[31] Najar, I. A., Khan, A. B. (2012). Assessment of water quality and identiﬁcation of pollution sources of three lakes in Kashmir, India, using multivariate analysis. Environ Earth Sci 66: 2367–2378.
[32] Potapova, M., Charles, D. F. (2003). Distribution of benthic diatoms in U.S. Rivers in relation to conductivity and ionic composition. Freshwater Biol 48: 1311 – 1328.
[33] Potapova, M., Charles, D. F. (2007). Diatom metrics for monitoring eutrophication in rivers of the United States. Ecol Indic 7: 48 – 70.
[34] Round, F. E. (1993). A Reviev and Methods for The Use of Epilithic Diatoms for Detecting and Monitorin Changes in River Water Quality, HMSO, London.
[35] Shrestha, S., Kazama, F. (2007). Assessment of surface water quality using multivariate statistical techniques: A case study of the Fuji river basin; Japan Environ Modelling & Software, 22, 464 - 475.
[36] Shrivastava, P., Saxena, A., Swarup, A. (2003). Heavy metal pollution in a sewage-fed lake of Bhopal. Lakes & Resevoirs: Res Manage 8: 1 – 4.
[37] Simeonov, V., Stratis, J. A., Samara, C., Zachariadis, G., Voutsa, D., Anthemidis, A. (2003). Assessment of the surfacewater quality in Northern Greece. Water Resour 37: 4119 – 4124.
[38] Sladeckova, A. (1962). Limnological investigation methods for periphyton (Aufwusch) community. Bot Rev 28: 286-350.
[39] Solak, C. N. (2011). The application of diatom indices in the Upper Porsuk River, Kütahya – Turkey. Türk J. Fish. Aquat. Sci., 11(1): 31- 36.
[40] Solak, C. N., Fehér, G., Barlas, M., Pabuçcu, K. (2007). Use of epilithic diatoms to evaluate water quality of Akçay Stream (Büyük Menderes River) in Mugla/Turkey. Archiv Für Hydrobiologie Suppl., 161 (3-4), Large Rivers 17: 327 – 338.
[41] Solak, C. N., Acs, E. (2011). Water Quality Monitoring in European and Turkish Rivers Using Diatoms. Turkish Journal of Fisheries and Aquatic Sciences, 11: 329-337.
[42] Stoermer, E. F., Smol, J. P. (1999). The Diatoms: Applications for the Environmental and Earth Sciences. Cambridge University Press, Cambridge.
[43] Tabachnick, B. G., Fidell, L. S. (1996). Using multivariate statistics (3rd ed.). New York: Harper Collins College Publishers.
[44] Tan, X., Ma, P., Xia, X., Zhang, Q. (2013). Spatial Pattern of Benthic Diatoms and Water Quality Assessment Using Diatom Indices in a Subtropical River, China. Clean Soil Air Water, Vol. 42, Issue 1: 20–28.
[45] Tan, X., Zhang, Q., Burford, M. A., Sheldon, F., Bunn, S. E., 2017. Benthic Diatom Based Indices for Water Quality Assessment in Two Subtropical Streams. Frontiers in Microbiology, 8, 601. http://doi.org/10.3389/fmicb.2017.00601
[46] Tokatlı, C. (2012). Sucul Sistemlerin İzlenmesinde Bazı Diyatome İndekslerinin Kullanılması: Gürleyik Çayı Örneği (Eskişehir). Dumlupınar Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 29: 19 – 26.
[47] Tokatlı, C. (2013). Evaulation of Water Quality by Using Trophic Diatom Index: Exaple of Porsuk Dam Lake. Journal of Applied Biological Sciences, 7: 1 – 4.
[48] Tokatlı, C., Çiçek, A., Köse, E., Emiroğlu, Ö. (2013a). Uptake of Silver from Large Silver Deposits on Biotic and Abiotic Components of the Closest Lothic System: Felent Stream, Turkey. Pak J Zool, 45: 701 – 707.
[49] Tokatlı, C., Köse, E., Çiçek, A., Uysal, K. (2013b). Copper, Zinc and Lead Concentrations of Epipelic Diatom Frustules in Porsuk Stream (Sakarya River Basin, Kutahya). Russ J Ecol, 44: 349-352.
[50] Tokatlı, C., Çiçek, A., Emiroğlu, Ö., Arslan, N., Köse, E., Dayioğlu, H. (2014a). Statistical Approaches to Evaluate the Aquatic Ecosystem Qualities of a Significant Mining Area: Emet Stream Basin (Turkey). Environ Earth Sci, 71: 2185–2197.
[51] Tokatlı, C., Köse, E., Çiçek, A. (2014b). Assessment of the Effects of Large Borate Deposits on Surface Water Quality by Multi Statistical Approaches: A Case Study of the Seydisuyu Stream (Turkey). Polish Journal of Environmental Studies, 23 (5): 1741-1751.
[52] Tokatlı, C. (2017). Bio – Ecological and Statistical Risk Assessment of Toxic Metals in Sediments of a Worldwide Important Wetland: Gala Lake National Park (Turkey). Archives of Environmental Protection, 43 (1): 34-47.
[53] Tokatlı, C., Çiçek, A., Köse, E. (2017). Use of Bio – Ecological Risk Indices to Evaluate the Sediment Quality of Seydisuyu Stream Basin. Iğdır University Journal of the Institute of Science and Technology, 7(2): 267-275.
[54] Torrisi, M., Dell’uomo, A. (2006). Biological monitoring of some Apennine rivers (Central Italy) using the diatom-based Eutrophication/Pollution Index (EPI-D) compared to other European diatom indices. Diatom Res, 21: 159–174.
[55] Turkish Regulations, 2015. Yüzeysel Su Kalitesi Yönetimi Yönetmeliği, 15 Nisan 2015 tarihli Resmi Gazete, Sayı: 29327, http://suyonetimiormansu.gov.tr.
[56] Van Dam, H., Mertens, A., Sinkeldam, J. (1994). A Coded Checklist and Ecological Indicator Values of Freshwater Diatoms from Netherlands. Neth J Aquat Ecol, 28: 117 – 184.
[57] Vega, M., Pardo, R., Barrato, E., Deban, L. (1998). Assessment of seasonal and polluting effects on the quality of river water by exploratory data analysis. Water Res, 32: 3581–3592.
[58] Wunderlin, D. A., Diaz, M. P., Ame, M. V., Pesce, S. F., Hued, A. C., Bistoni, M. A. (2001). Pattern recognition techniques for the evaluation of spatial and temporal variations in water quality. A case study: Suquira river basin (Cordoba — Argentina). Water Res, 35: 1894 – 2881.
[59] Zelinka, M., Marvan, P. (1961). Zur Präzisierung der biologischen klassifikation der Reinheit flieβender Gewässer. Arch Hydrobiol, 57: 389 – 407.

Details

Primary Language

English

Subjects

Engineering

Journal Section

Research Article

Authors

Tahir Atıcı This is me
0000-0002-3396-3407
Türkiye

Cem Tokatlı This is me
0000-0003-2080-7920
Türkiye

Arzu Çiçek This is me
0000-0001-7923-2864
Türkiye

Publication Date

March 1, 2018

Submission Date

September 14, 2017

Acceptance Date

February 15, 2018

Published in Issue

Year 2018 Volume: 36 Number: 1

IZ

https://izlik.org/JA35SN93JU

Cite

RIS / Bibtex

APA

Atıcı, T., Tokatlı, C., & Çiçek, A. (2018). DIATOMS OF SEYDISUYU STREAM BASIN (TURKEY) AND ASSESSMENT OF WATER QUALITY BY STATISTICAL AND BIOLOGICAL APPROACHES. Sigma Journal of Engineering and Natural Sciences, 36(1), 271-288. https://izlik.org/JA35SN93JU

AMA

1.Atıcı T, Tokatlı C, Çiçek A. DIATOMS OF SEYDISUYU STREAM BASIN (TURKEY) AND ASSESSMENT OF WATER QUALITY BY STATISTICAL AND BIOLOGICAL APPROACHES. SIGMA. 2018;36(1):271-288. https://izlik.org/JA35SN93JU

Chicago

Atıcı, Tahir, Cem Tokatlı, and Arzu Çiçek. 2018. “DIATOMS OF SEYDISUYU STREAM BASIN (TURKEY) AND ASSESSMENT OF WATER QUALITY BY STATISTICAL AND BIOLOGICAL APPROACHES”. Sigma Journal of Engineering and Natural Sciences 36 (1): 271-88. https://izlik.org/JA35SN93JU.

EndNote

Atıcı T, Tokatlı C, Çiçek A (March 1, 2018) DIATOMS OF SEYDISUYU STREAM BASIN (TURKEY) AND ASSESSMENT OF WATER QUALITY BY STATISTICAL AND BIOLOGICAL APPROACHES. Sigma Journal of Engineering and Natural Sciences 36 1 271–288.

IEEE

[1]T. Atıcı, C. Tokatlı, and A. Çiçek, “DIATOMS OF SEYDISUYU STREAM BASIN (TURKEY) AND ASSESSMENT OF WATER QUALITY BY STATISTICAL AND BIOLOGICAL APPROACHES”, SIGMA, vol. 36, no. 1, pp. 271–288, Mar. 2018, [Online]. Available: https://izlik.org/JA35SN93JU

ISNAD

Atıcı, Tahir - Tokatlı, Cem - Çiçek, Arzu. “DIATOMS OF SEYDISUYU STREAM BASIN (TURKEY) AND ASSESSMENT OF WATER QUALITY BY STATISTICAL AND BIOLOGICAL APPROACHES”. Sigma Journal of Engineering and Natural Sciences 36/1 (March 1, 2018): 271-288. https://izlik.org/JA35SN93JU.

JAMA

1.Atıcı T, Tokatlı C, Çiçek A. DIATOMS OF SEYDISUYU STREAM BASIN (TURKEY) AND ASSESSMENT OF WATER QUALITY BY STATISTICAL AND BIOLOGICAL APPROACHES. SIGMA. 2018;36:271–288.

MLA

Atıcı, Tahir, et al. “DIATOMS OF SEYDISUYU STREAM BASIN (TURKEY) AND ASSESSMENT OF WATER QUALITY BY STATISTICAL AND BIOLOGICAL APPROACHES”. Sigma Journal of Engineering and Natural Sciences, vol. 36, no. 1, Mar. 2018, pp. 271-88, https://izlik.org/JA35SN93JU.

Vancouver

1.Tahir Atıcı, Cem Tokatlı, Arzu Çiçek. DIATOMS OF SEYDISUYU STREAM BASIN (TURKEY) AND ASSESSMENT OF WATER QUALITY BY STATISTICAL AND BIOLOGICAL APPROACHES. SIGMA [Internet]. 2018 Mar. 1;36(1):271-88. Available from: https://izlik.org/JA35SN93JU