Effect of Endosulfan in Drinking Water to Sulfur-Based Autotrophic Denitrification
In many countries, and in our country groundwater contain nitrate which on the limits set for drinking purposes. Nitrate concentrations especially indicated in wells in agricultural land in Southeast Anatolia and Ege Region 180 mg/L NO3- -N. Increase in the use of nitrogenous fertilizers, the discharge of untreated domestic and industrial wastewaters leads to an increase in groundwater nitrate. Because of, the economic and efficient nitrate removal technologies need to be investigated for groundwater treatment. Biological denitrification is method an treatment alternative. Autotrophic denitrification is process cheaper and more effective than heterotrophic denitrification. Hence, in this study, nitrate removal was investigated with sulfur-based autotrophic denitrification process. In addition to, endosulfan which is one of in dangerous and harmful pesticides in water was search in terms of denitrification and bacterial diversity. In conclusion nitrate removal was observed in column reactor established for this purpose. The change in bacterial growth have been studied before without pesticides and after pesticides with FISH.
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Amann, R.I., Krumholz, L., Stahl, D.A. 1990. Fluorescent oligonucleotid eprobing of whole cells for determinative, phylogenetic and environmental studies in microbiology. Journal of Bacteriology. 172: 762–770.
Amann, R.I., Ludwig, W., Schleifer, K.H. 1995. Phylogenetic identification and in situ detection of individual microbialcells without cultivation. Microbiol. Rev. 59: 143–169.
Akkurt, F., Alıcılar, A., Sendil, O. 2002. Sularda Bulunan Nitratın Adsorpsiyon Yoluyla Uzaklaştırılması. Gazi Üniv. Müh. Mim. Fak. Der. 17: 83-91.
APHA AWWA WEF, 2005. Standard Methods for the Examination of Waterand Wastewater. American Public Health Association, AmericanWater Works Association, Water Environmental Federation, 21st Edition, Washington DC, USA.
Aslan, S. 2002. Combined Biological Removal of Pesticides and Nitrates in DrinkingWaters. Doktora Tezi. Dokuz Eylul Üniversitesi. İzmir.
Della Rocca C., Belgiorno V., Meric S. 2007. Overview of in-situ applicable nitrate removal processes. Desalination, 204, 46-62.
Goebel, H., Gorbach, S., Knauf, W., Rımpau, R. H., Huttenbach,H. 1982. Properties, Effects, Residues and Analytics of The Insectiside Endosulfan. Residue Reviews, 83:1-122
Golfinopoulos, S. K., Nikolaou, A. D., Kostopoulou, M. N., X, Lourgidis, N. K., Vagi, M. C., Lekkas, D. T. 200 Organochlorine Pesticides in the Surface Waters of Northern Greece. Chemosphere, 50:5075
Gündoğan, E.G. 2012. Hidrojene Dayalı Membran Biyofilm Reaktörlerinde Denitrifikasyona Endosülfanın Etkisi. Kahramanmaraş Sütçü İmam Üniversitesi, Fen Bilimleri Enstitüsü, Çevre Mühendisliği Ana Bilim Dalı Yüksek Lisans Tezi. Kahramanmaraş.
Lee, D.J., Pan, X., Wang, A., Ho, K.L. 2013. Facultative autotrophic denitrifiers in denitrifying sulfide removal granules. Bioresource Technology 132: 356–360.
Liu H., Jiang. W., Wan D., Qu J. 2009. Study of a combined heterotrophic and sulfur autotrophic denitriﬁcation technology for removal of nitrate in water. Journal of Hazardous Materials, 169, 23–28.
Mersie, W., Seybold, C., A., Mcnamee, C., Lawson, M., A. 2003. Abating Endosulfan from Run off Using Vegetative Filter Strips: The Importance of Plant Species and Flow Rate. Agriculture, Ecosystem and Environment. 97:215-223.
Park, J. Y., Yoo, Y.J. 2009. Biological nitrate removal in industrial wastewater treatment: which electron donor we can choose. Appl. Microbiol. Biotechnol. 82: 415–429.
Rittmann, B.E., McCarty, P.L. 2001. Environmental biotechnology: principles and applications. New York: McGraw-HillBookCo.
Sahinkaya, E., Dursun, N., Kilic, A., Demirel, S., Uyanik, S., Çınar, Ö. 2011. Simultaneous heterotrophicand sulfur oxidizingautotrophic denitrification process for drinking watertreatment:control of sulfate production. WaterRes. 45: 6661–6667.
Tuğrul, Z. 2006. Toz Halinde Fe ve Al ile Nitratın Kimyasal Denitrifikasyonu. Yüksek Lisans Tezi. SDÜ Fen Bilimleri Enstitüsü, Çevre Mühendisliği Ana Bilim Dalı. Isparta.
Yeşilnacar, M. I., Şahinkaya, E., Naz, M., Özkaya, B. 200 Neural network prediction of nitrate in groundwater of Harran Plain, Turkey. Environmental Geology. 56: 19-25