TY - JOUR AU - Tokatlı, Cem AU - Baştatli, Yasin PY - 2017/06/28 TI - Water Quality of Havsa Stream Basin Creeks (Thrace Region, Turkey) JF - VNU Journal of Science: Earth and Environmental Sciences; Vol 33 No 2DO - 10.25073/2588-1094/vnuees.4103 KW - N2 - Havsa Stream is located on north – west part of Marmara Region and it is one of the most important branches of Ergene River. As many aquatic habitat Havsa Stream is also under effect of an intensive agricultural pressure. In this study, water quality of Süloğlu, Hasköy, Aşağıova, Havsa, Kuleli and Anadere Creeks that are the significant components of Havsa Steam Basin were investigated. Water samples were collected in spring season of 2016 and total of 13 water quality parameters (pH, conductivity, TDS, salinity, turbidity, nitrate, nitrite, phosphate, sulfate, biological oxygen demand, total carbon, total inorganic carbon and total organic carbon) were investigated. Also Cluster Analysis (CA) was applied to detected data in order to classify the creeks in terms of pollution levels. According to detected data, pollution levels of the investigated creeks in parallel to the flow directions as follows; Süloğlu > Hasköy > Aşağıova > Havsa > Kuleli > Anadere in general. According to the results of CA, 3 statistically significant clusters were formed, which were corresponded to Süloğlu and Hasköy (Cluster 1) that were located on the upstream; Kuleli, Havsa and Aşağıova (Cluster 2) that were located on the middlestream; Anadere (Cluster 3) that was located on the downstream. Keywords Süloğlu, Hasköy, Aşağıova, Havsa, Kuleli, Anadere, Creeks, Water Quality References [1] Strobl, R. O., Robillard, P. D., 2008. Network design for water quality monitoring of surface freshwaters: a review. Journal of Environmental Management 87, 639–648. [2] Tokatlı, C., 2013. Use of Statistical Methods in Water Quality Assessment: A Case Study of Balkan Arboretum Area in Trakya University (Edirne, Turkey). Journal of Applied Biological Sciences, 7 (3): 79-83. [3] Tokatlı, C., Köse, E., Çiçek, A., 2014. 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. [4] 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. [5] Tokatlı, C., 2015. Assessment of the Water Quality in the Meriç River: As an Element of the Ecosystem in the Thrace Region of Turkey. Polish Journal of Environmental Studies, 24 (5): 2205-2211. [6] Tokatlı, C., Emiroğlu, Ö., Çiçek, A, Köse, E., Başkurt, S., Aksu, S., Uğurluoğlu, A., Şahin, M., Baştatlı, Y., 2016. Investigation of Toxic Metal Bioaccumulations in Fishes of Meriç River Delta (Edirne). Anadolu Unıversıty Journal of Scıence and Technology – C Life Sciences and Biotechnology, 5 (1): 1-11. [7] Tokatlı, C., Baştatlı, Y., 2016. Trace and Toxic Element Levels in River Sediments. Polish Journal of Environmental Studies, 25 (4): 1715-1720. [8] Anonymous, 2008. Turkish Ministry of Environment and Forestry, General Directorate of Environmental Management, Meriç – Ergene Basin Conservation Action Plan. [9] EN ISO 10304-1. Water quality ”Determination of dissolved anions by liquid chromatography of ions”: Determination of chloride and nitrate. [10] EN ISO 10304-2. Water quality ”Determination of dissolved anions by liquid chromatography of ions”: Determination of sulfate. [11] EN ISO 26777. Water quality ”Determination of dissolved anions by liquid chromatography of ions”: Determination of nitrite. [12] DIN 38405-D5. German standard methods for the examination of water, waste water and sludge; anions (group D); determination of sulfate (D5). [13] DIN 38406-E6. German standard methods for the examination of water, waste water and sludge; anions (group E); determination of ammonium (E5). [14] DIN 38405 D9-2. German standard methods for the examination of water, waste water and sludge; anions (group D); determination of nitrate (D9-2). [15] DIN 38409 H41-H44. German standard methods for the examination of water, waste water and sludge; anions (group H); determination of chemical oxygen demand (H41-H44). [16] Kaufman, L., Rousseeuw, P. J., 2009. Finding groups in data: an introduction to cluster analysis. Wiley Interscience Publishing Group. [17] Ugwu, A. I., Wakawa, R. J., 2012. A study of seasonal physicochemical parameters in River Usma, American Journal of Environmental Science, 2012, 8 (5): 569-576. [18] Turkish Regulations, 2012. Yüzeysel Su Kalitesi Yönetimi Yönetmeliği, 30 Kasım 2012 tarihli Resmi Gazete, Sayı: 28483, http://suyonetimiormansu.gov.tr. [19] TS 266, 2005. Sular-İnsani tüketim amaçlı sular. Türk Standartları Enstitüsü, ICS 13.060.20. [20] EC (European Communities), 2006. EC of the European Parliament and of the council of 6 September 2006 on the quality of fresh waters needing protection or improvement in order to support fish life. Directive 2006/44. [21] EC (European Communities), 2007. European Communities (drinking water) (no. 2), Regulatıons 2007, S.I. No. 278 of 2007. [22] Wetzel, R. G. 2001. Limnology: Lake and River Ecosystems. Elsevier Academic Press, 1006 pages. [23] Manahan, S. E. 2011. Water Chemistry: Green Science and Technology of Nature's Most Renewable Resource. Taylor & Francis Group, CRC Press, 398 pages. [24] Turkish Regulations, 2004. Yüzeysel Su Kalitesi Yönetimi Yönetmeliği, 31 Aralık Cuma tarihli Resmi Gazete, Sayı: 25687, http://suyonetimiormansu.gov.tr. [25] Uslu, O., Türkman, A., 1987. Su Kirliliği ve Kontrolü. T.C. Başbakanlık Çevre Genel Müdürlüğü Yayınları, Eğitim Dizisi I, Ankara. [26] WHO (World Health Organization), 2011. Guidelines for Drinking-water Quality. World Health Organization Library Cataloguing-in-Publication Data, NLM classification: WA 675. [27] Shrestha S., Kazama F., 2007. Assessment of surface water quality using multivariate statistical techniques: A case study of the Fuji river basin; Japan. Environmental Modelling & Software, 22, 464–475. [28] Tokatlı, C., Çiçek, A., Köse, E., 2013. Groundwater Quality of Türkmen Mountain (Turkey). Polish Journal of Environmental Studies, 22 (4), 1197-1208. [29] Tabachnick, B. G., Fidell L. S., 1996. Using multivariate statistics (3rd ed.). New York: Harper Collins College Publishers. [30] Edirne (2005). Edirne İl Çevre Durum Raporu. Edirne Valiliği İl Çevre Ve Orman Müdürlüğü. [31] Tokatlı, C., Köse, E., Uğurluoğlu, A., Çiçek, A., Emiroğlu, Ö., 2014. Gala Gölü (Edirne) Su Kalitesinin Coğrafi Bilgi Sistemi (CBS) Kullanılarak Değerlendirilmesi. Sigma Journal of Engineering and Natural Sciences, 32: 490-501. [32] Arda, H., Helvacıoğlu, İ. A., Meriç, Ç., Tokatlı, C., 2015. Investigation on the Heavy Metal Contents in Irrigation Water of Ipsala District. Journal of Tekirdag Agricultural Faculty, 12 (3): 1-7. [33] Tokatlı, C., Baştatlı, Y., 2016. Assessment of Toxic Metals in Sediments of Meriç, Tunca and Ergene Rivers by Using Biological and Ecological Risk Indices. Central Bohemia University International Conference on Innovations in Science and Education, 23-25 March 2016, Prague, Czech Republic, 770-775. [34] 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.   UR - https://js.vnu.edu.vn/EES/article/view/4103