Araştırma Makalesi
BibTex RIS Kaynak Göster
Yıl 2019, Cilt: 3 Sayı: 2, 16 - 26, 01.12.2019

Öz

Kaynakça

  • Aschermann, G., A. Jeihanipour, J. Shen, G. Mkongo, L. Dramas, J.-P. Croué, and A. Schäfer. 2016. Seasonal variation of organic matter concentration and characteristics in the Maji ya Chai River (Tanzania): Impact on treatability by ultrafiltration. Water Res 101:370-381.
  • Ates, N., S. S. Kaplan, E. Sahinkaya, M. Kitis, F. B. Dilek, and U. Yetis. 2007. Occurrence of disinfection by-products in low DOC surface waters in Turkey. J Hazard Mater 142 (1-2):526-34.
  • Ates, N., L. Yilmaz, M. Kitis, and U. Yetis. 2009. Removal of disinfection by-product precursors by UF and NF membranes in low-SUVA waters. Journal of Membrane Science 328 (1-2):104-112.
  • Aydin, E., F. B. Yaman, E. Ates Genceli, E. Topuz, E. Erdim, M. Gurel, M. Ipek, and E. Pehlivanoglu-Mantas. 2012. Occurrence of THM and NDMA precursors in a watershed: Effect of seasons and anthropogenic pollution. J Hazard Mater 221-222:86-91.
  • Azzouz, A., and E. Ballesteros. 2013. Influence of seasonal climate differences on the pharmaceutical, hormone and personal care product removal efficiency of a drinking water treatment plant. Chemosphere 93 (9):2046-54.
  • Bhatnagar, A., and M. Sillanpaa. 2017. Removal of natural organic matter (NOM) and its constituents from water by adsorption - A review. Chemosphere 166:497-510.Charisiadis, P., S. S. Andra, and K. C. Makris. 2015. Spatial and seasonal variability of tap water disinfection by-products. Science of The Total Environment 506-507:26-35.
  • Ged, E. C., P. A. Chadik, and T. H. Boyer. 2015. Predictive capability of chlorination disinfection byproducts models. J Environ Manage 149:253-62.Guilherme, S., and M. J. Rodriguez. 2014. Occurrence of regulated and non-regulated disinfection by-products in small drinking water systems. Chemosphere 117:425-32.
  • Guo, Z. B., Y. Lin, B. Xu, C. Yan Hu, H. Huang, and Z. T.Y. 2016. Factors affecting THM, HAN and HNM formation during UV-chlor(am)ination of drinking water. Chemical Engineering Journal 306 (1180-1188).
  • Hua, G., D. A. Reckhow, and I. Abusallout. 2015. Correlation between SUVA and DBP formation during chlorination and chloramination of NOM fractions from different sources. Chemosphere 130:82-9.
  • Huang, W., H. He, B. Dong, H. Chu, G. Xu, and Z. Yan. 2015. Effects of macro-porous anion exchange and coagulation treatment on organic removal and membrane fouling reduction in water treatment. Desalination 355:204-216.
  • Khan, M. M. T., Z. Lewandowski, S. Takizawa, K. Yamada, H. Katayama, K. Yamamoto, and S. Ohgaki. 2009. Continuous and efficient removal of THMs from river water using MF membrane combined with high dose of PAC. Desalination 249 (2):713-720.
  • Kraus, T. E. C., B. A. Bergamaschi, P. J. Hernes, R. G. M. Spencer, R. Stepanauskas, C. Kendall, R. F. Losee, and R. Fujii. 2008. Assessing the contribution of wetlands and subsided islands to dissolved organic matter and disinfection byproduct precursors in the Sacramento–San Joaquin River Delta: A geochemical approach. Organic Geochemistry 39 (9):1302-1318.
  • Kumari, M., and S. K. Gupta. 2015. Modeling of trihalomethanes (THMs) in drinking water supplies: a case study of eastern part of India. Environ Sci Pollut Res Int 22 (16):12615-23.
  • Lee, J., S. Lee, S. Yu, and D. Rhew. 2016. Relationships between water quality parameters in rivers and lakes: BOD5, COD, NBOPs, and TOC. Environ Monit Assess 188 (4).
  • Reguero, V., R. López-Fernández, J. Fermoso, O. Prieto, P. Pocostales, R. González, R. Irusta, and S. Villaverde. 2013. Comparison of conventional technologies and a Submerged Membrane Photocatalytic Reactor (SMPR) for removing trihalomethanes (THM) precursors in drinking water treatment plants. Desalination 330:28-34.
  • Sadrnourmohamadi, M., and B. Gorczyca. 2015. Effects of ozone as a stand-alone and coagulation-aid treatment on the reduction of trihalomethanes precursors from high DOC and hardness water. Water Res 73:171-80.
  • Tian, J. Y., H. Liang, X. Li, S. J. You, S. Tian, and G. B. Li. 2008. Membrane coagulation bioreactor (MCBR) for drinking water treatment. Water Res 42 (14):3910-20.
  • Tubic, A., J. Agbaba, B. Dalmacija, J. Molnar, S. Maletic, M. Watson, and S. U. Perovic. 2013. Insight into changes during coagulation in NOM reactivity for trihalomethanes and haloacetic acids formation. J Environ Manage 118:153-60.
  • Uyak, V., K. Ozdemir, and I. Toroz. 2007. Multiple linear regression modeling of disinfection by-products formation in Istanbul drinking water reservoirs. Sci Total Environ 378 (3):269-80.
  • Uyak, V., and I. Toroz. 2007. Disinfection by-product precursors reduction by various coagulation techniques in Istanbul water supplies. J Hazard Mater 141 (1):320-8.Wei, Q., D. Wang, Q. Wei, C. Qiao, B. Shi, and H. Tang. 2008. Size and resin fractionations of dissolved organic matter and trihalomethane precursors from four typical source waters in China. Environ Monit Assess 141 (1-3):347-57.
  • Ye, B., W. Wang, L. Yang, J. Wei, and X. E. 2009. Factors influencing disinfection by-products formation in drinking water of six cities in China. J Hazard Mater 171 (1-3):147-52.
  • Zhang, J., J. Yu, W. An, J. Liu, Y. Wang, Y. Chen, J. Tai, and M. Yang. 2011. Characterization of disinfection byproduct formation potential in 13 source waters in China. Journal of Environmental Sciences 23 (2):183-188.

SEASONAL CORRELATION BETWEEN WATER QUALITY PARAMETERS AND DISINFECTION BY-PRODUCTS IN SAKARYA RIVER

Yıl 2019, Cilt: 3 Sayı: 2, 16 - 26, 01.12.2019

Öz

This study focus on investigate seasonal variations
and relationships between water quality parameters and disinfection byproducts
(DBPs) within the Sakarya River where is located in Turkey. This river water is
rapidly endangered by urbanization, industrial and agricultural activities so,
to research pollution of river samples have been taken from 5 different points
along the river during one year. Within this scope, changes in the dissolved
organic carbon (DOC), biological oxygen demand (BOD5), chemical oxygen demand
(COD), ultraviolet absorbance at 254 nm (UV254), specific ultraviolet
absorbance (SUVA254), trihalomethane formation potential (THMFP), and
haloacetic acids formation potential (HAAFP) are measured. High coefficient of
determination (R2) was 0.64 and 0.62 UV between THMFP and HAAFP respectively,
also THMFP and HAAFP relationships between UV254 (R2) was found to be close to
each other. COD, BOD and NBOM maximum coefficient of determination between DBPs
was 0,62. High correlation coefficients (r) of 0.80 and 0.79 between SUVA254 and
DBPs were obtained for THMFP and HAAFP respectively. The reactivity of the
organic matter changed throughout the year; with the lowest reactivity for both
THMFP and HAAFP in fall, increasing in spring and reaching a maximum in summer
season. Understanding the seasonal changes and corelations between organic
matter and their reactivity should lead to a better optimization of the
treatment method and a more consistent water quality.

Kaynakça

  • Aschermann, G., A. Jeihanipour, J. Shen, G. Mkongo, L. Dramas, J.-P. Croué, and A. Schäfer. 2016. Seasonal variation of organic matter concentration and characteristics in the Maji ya Chai River (Tanzania): Impact on treatability by ultrafiltration. Water Res 101:370-381.
  • Ates, N., S. S. Kaplan, E. Sahinkaya, M. Kitis, F. B. Dilek, and U. Yetis. 2007. Occurrence of disinfection by-products in low DOC surface waters in Turkey. J Hazard Mater 142 (1-2):526-34.
  • Ates, N., L. Yilmaz, M. Kitis, and U. Yetis. 2009. Removal of disinfection by-product precursors by UF and NF membranes in low-SUVA waters. Journal of Membrane Science 328 (1-2):104-112.
  • Aydin, E., F. B. Yaman, E. Ates Genceli, E. Topuz, E. Erdim, M. Gurel, M. Ipek, and E. Pehlivanoglu-Mantas. 2012. Occurrence of THM and NDMA precursors in a watershed: Effect of seasons and anthropogenic pollution. J Hazard Mater 221-222:86-91.
  • Azzouz, A., and E. Ballesteros. 2013. Influence of seasonal climate differences on the pharmaceutical, hormone and personal care product removal efficiency of a drinking water treatment plant. Chemosphere 93 (9):2046-54.
  • Bhatnagar, A., and M. Sillanpaa. 2017. Removal of natural organic matter (NOM) and its constituents from water by adsorption - A review. Chemosphere 166:497-510.Charisiadis, P., S. S. Andra, and K. C. Makris. 2015. Spatial and seasonal variability of tap water disinfection by-products. Science of The Total Environment 506-507:26-35.
  • Ged, E. C., P. A. Chadik, and T. H. Boyer. 2015. Predictive capability of chlorination disinfection byproducts models. J Environ Manage 149:253-62.Guilherme, S., and M. J. Rodriguez. 2014. Occurrence of regulated and non-regulated disinfection by-products in small drinking water systems. Chemosphere 117:425-32.
  • Guo, Z. B., Y. Lin, B. Xu, C. Yan Hu, H. Huang, and Z. T.Y. 2016. Factors affecting THM, HAN and HNM formation during UV-chlor(am)ination of drinking water. Chemical Engineering Journal 306 (1180-1188).
  • Hua, G., D. A. Reckhow, and I. Abusallout. 2015. Correlation between SUVA and DBP formation during chlorination and chloramination of NOM fractions from different sources. Chemosphere 130:82-9.
  • Huang, W., H. He, B. Dong, H. Chu, G. Xu, and Z. Yan. 2015. Effects of macro-porous anion exchange and coagulation treatment on organic removal and membrane fouling reduction in water treatment. Desalination 355:204-216.
  • Khan, M. M. T., Z. Lewandowski, S. Takizawa, K. Yamada, H. Katayama, K. Yamamoto, and S. Ohgaki. 2009. Continuous and efficient removal of THMs from river water using MF membrane combined with high dose of PAC. Desalination 249 (2):713-720.
  • Kraus, T. E. C., B. A. Bergamaschi, P. J. Hernes, R. G. M. Spencer, R. Stepanauskas, C. Kendall, R. F. Losee, and R. Fujii. 2008. Assessing the contribution of wetlands and subsided islands to dissolved organic matter and disinfection byproduct precursors in the Sacramento–San Joaquin River Delta: A geochemical approach. Organic Geochemistry 39 (9):1302-1318.
  • Kumari, M., and S. K. Gupta. 2015. Modeling of trihalomethanes (THMs) in drinking water supplies: a case study of eastern part of India. Environ Sci Pollut Res Int 22 (16):12615-23.
  • Lee, J., S. Lee, S. Yu, and D. Rhew. 2016. Relationships between water quality parameters in rivers and lakes: BOD5, COD, NBOPs, and TOC. Environ Monit Assess 188 (4).
  • Reguero, V., R. López-Fernández, J. Fermoso, O. Prieto, P. Pocostales, R. González, R. Irusta, and S. Villaverde. 2013. Comparison of conventional technologies and a Submerged Membrane Photocatalytic Reactor (SMPR) for removing trihalomethanes (THM) precursors in drinking water treatment plants. Desalination 330:28-34.
  • Sadrnourmohamadi, M., and B. Gorczyca. 2015. Effects of ozone as a stand-alone and coagulation-aid treatment on the reduction of trihalomethanes precursors from high DOC and hardness water. Water Res 73:171-80.
  • Tian, J. Y., H. Liang, X. Li, S. J. You, S. Tian, and G. B. Li. 2008. Membrane coagulation bioreactor (MCBR) for drinking water treatment. Water Res 42 (14):3910-20.
  • Tubic, A., J. Agbaba, B. Dalmacija, J. Molnar, S. Maletic, M. Watson, and S. U. Perovic. 2013. Insight into changes during coagulation in NOM reactivity for trihalomethanes and haloacetic acids formation. J Environ Manage 118:153-60.
  • Uyak, V., K. Ozdemir, and I. Toroz. 2007. Multiple linear regression modeling of disinfection by-products formation in Istanbul drinking water reservoirs. Sci Total Environ 378 (3):269-80.
  • Uyak, V., and I. Toroz. 2007. Disinfection by-product precursors reduction by various coagulation techniques in Istanbul water supplies. J Hazard Mater 141 (1):320-8.Wei, Q., D. Wang, Q. Wei, C. Qiao, B. Shi, and H. Tang. 2008. Size and resin fractionations of dissolved organic matter and trihalomethane precursors from four typical source waters in China. Environ Monit Assess 141 (1-3):347-57.
  • Ye, B., W. Wang, L. Yang, J. Wei, and X. E. 2009. Factors influencing disinfection by-products formation in drinking water of six cities in China. J Hazard Mater 171 (1-3):147-52.
  • Zhang, J., J. Yu, W. An, J. Liu, Y. Wang, Y. Chen, J. Tai, and M. Yang. 2011. Characterization of disinfection byproduct formation potential in 13 source waters in China. Journal of Environmental Sciences 23 (2):183-188.
Toplam 22 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Çevre Mühendisliği
Bölüm Articles
Yazarlar

Busra Yaman Bu kişi benim

Yayımlanma Tarihi 1 Aralık 2019
Gönderilme Tarihi 20 Eylül 2019
Yayımlandığı Sayı Yıl 2019 Cilt: 3 Sayı: 2

Kaynak Göster

APA Yaman, B. (2019). SEASONAL CORRELATION BETWEEN WATER QUALITY PARAMETERS AND DISINFECTION BY-PRODUCTS IN SAKARYA RIVER. Eurasian Journal of Environmental Research, 3(2), 16-26.
AMA Yaman B. SEASONAL CORRELATION BETWEEN WATER QUALITY PARAMETERS AND DISINFECTION BY-PRODUCTS IN SAKARYA RIVER. EJERE. Aralık 2019;3(2):16-26.
Chicago Yaman, Busra. “SEASONAL CORRELATION BETWEEN WATER QUALITY PARAMETERS AND DISINFECTION BY-PRODUCTS IN SAKARYA RIVER”. Eurasian Journal of Environmental Research 3, sy. 2 (Aralık 2019): 16-26.
EndNote Yaman B (01 Aralık 2019) SEASONAL CORRELATION BETWEEN WATER QUALITY PARAMETERS AND DISINFECTION BY-PRODUCTS IN SAKARYA RIVER. Eurasian Journal of Environmental Research 3 2 16–26.
IEEE B. Yaman, “SEASONAL CORRELATION BETWEEN WATER QUALITY PARAMETERS AND DISINFECTION BY-PRODUCTS IN SAKARYA RIVER”, EJERE, c. 3, sy. 2, ss. 16–26, 2019.
ISNAD Yaman, Busra. “SEASONAL CORRELATION BETWEEN WATER QUALITY PARAMETERS AND DISINFECTION BY-PRODUCTS IN SAKARYA RIVER”. Eurasian Journal of Environmental Research 3/2 (Aralık 2019), 16-26.
JAMA Yaman B. SEASONAL CORRELATION BETWEEN WATER QUALITY PARAMETERS AND DISINFECTION BY-PRODUCTS IN SAKARYA RIVER. EJERE. 2019;3:16–26.
MLA Yaman, Busra. “SEASONAL CORRELATION BETWEEN WATER QUALITY PARAMETERS AND DISINFECTION BY-PRODUCTS IN SAKARYA RIVER”. Eurasian Journal of Environmental Research, c. 3, sy. 2, 2019, ss. 16-26.
Vancouver Yaman B. SEASONAL CORRELATION BETWEEN WATER QUALITY PARAMETERS AND DISINFECTION BY-PRODUCTS IN SAKARYA RIVER. EJERE. 2019;3(2):16-2.

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