Seasonal Water Footprint Assessment For A Paint Industry Wastewater Treatment Plant

Yıl 2019, Cilt: 23 Sayı: 2, 175 - 183, 01.04.2019

Pelin Yapıcıoğlu

https://doi.org/10.16984/saufenbilder.411137

Cited By: 4

Öz

Paint manufacturing industries have many unfavorable
environmental impacts such as freshwater consumption. Especially, paint
industry wastewater treatment plants consume huge water volumes. Water
footprint is described as the total volume of water required for a concept. The main aim of the study
is to determine the seasonal variation of water footprint for a full-scale
paint industry wastewater treatment plant which locates in Turkey. Grey water
footprint was evaluated by Water Footprint Network methodology. Chemical Oxygen
Demand (COD), Total Suspended Solids (TSS) and Oil and Grease (O&G) are the
pollutant parameters to detect it. Water consumption of the plant contains
sludge treatment, process water usage and other residential activities are
defined as the component of blue water footprint. According to the results,
maximum grey water footprint was measured in May as the value of 2455.840352 m³.month^-1.
The least total grey water footprint is related to August as 536.7118464 m³.month^-1. Total blue water footprint
is 4866.9 m³.year^-1 and the peak value is 421.7 m³.month^-1
in March.  According to the study, the
grey water footprint is higher than blue footprint. The results reveal that for
decreasing water footprint, COD removal efficiency should be increased and
wastewater reuse alternatives should be implemented.

Anahtar Kelimeler

paint industry wastewater, water footprint

Kaynakça

• REFERENCES
• [1] J. Yao, D. Wen, “Zero Discharge Process for Dyeing Wastewater Treatment,” Journal of Water Process Engineering, vol. 11 , pp. 98-103, 2016.
• [2] P. Yapıcıoğlu, “Investigation of Environmental-friendly Technology for a Paint Industry Wastewater Plant in Turkey,” Süleyman Demirel University Journal of Natural and Applied Sciences, online published, 2018. Doi: 10.19113/sdufbed.22148.
• [3] S. Morera, L. Corominas, M. Poch, M.M. Aldaya and J. Comas, “Water footprint assessment in wastewater treatment plants,” Journal of Cleaner Production,vol. 112, pp. 4741–4748, 2016.
• [4] World Resources Institute, WRI, 2015. Available: http://www.wri.org/. [Accessed 11 July 2017]
• [5] A.Y. Hoekstra and P.Q. Hung, “A quantification of virtual water flows between nations in relation to international crop trade,” Water Research, vol. 49, pp. 203–209, 2002.
• [6] F. Gnehm, The Swiss Water Footprint Report A global picture of Swiss water dependence. pp. 36, Swiss, 2012.
• [7] F. Pellicer-Martinez and J.M. Martinez-Paz, “The Water Footprint as an indicator of environmental sustainability in water use at the river basin level,” Science of Total Environment, vol. 571, pp. 561–574, 2016.
• [8] A.Y. Hoekstra and M.M. Mekonnen, “The water footprint of humanity,” PNAS, vol. 109, pp. 3232–3237, 2011.
• [9] D. Lovarelli, J. Bacenetti and M. Fiala, “Water Footprint of crop productions: A review,” Science of Total Environment, vol. 548-549, pp. 236–251, 2016.
• [10] Water Footprint Network, WFN, 2014. Available: http: //http://waterfootprint.org/. [Accessed 20 May 2017]
• [11] A.Y. Hoekstra and P.Q. Hung, “Globalisation of water resources: International virtual water flows in relation to crop trade,” Global Environmental Change, vol. 15, pp. 45–56, 2005.
• [12] A.K. Chapagain, A.Y. Hoekstra, H.H.G. Savenije and R. Gautam, “The water footprint of cotton consumption: An assessment of the impact of worldwide consumption of cotton products on the water resources in the cotton producing countries,” Ecological Economics, vol. 60, pp. 186–203, 2006.
• [13] A.Y. Hoekstra and A.K. Chapagain, “Water footprints of nations.Water use by people as a function of their consumption pattern,” Water Resources Management, vol. 21, pp. 35–48, 2007.
• [14] A.K. Chapagain and S. Orr, “An improved water footprint methodology linking global consumption to local water resources: A case of Spanish tomatoes,” Journal of Environmental Management, vol. 90, pp. 1219–1228, 2009.
• [15] K. Feng, Y.L. Siu, D. Guan and K. Hubacek, “Assessing regional virtual water flows and water footprints in the Yellow River Basin, China: A consumption based approach,” Applied Geography, vol. 32, pp. 691–701, 2012.
• [16] D. Guan and K. Hubacek, “Assessment of regional trade and virtual water flows in China,” Ecological Economics, vol. 61, pp. 159–170, 2007.
• [17] I. Cazcarro, R.D. Pac and J. Sánchez-Chóliz, “Water consumption based on a disaggregated social accounting matrix of huesca (Spain),” Journal of Industrial Ecology, vol. 14, pp. 496–511, 2010.
• [18] Y. Yu, K. Hubacek, K. Feng and D. Guan, “Assessing regional and global water footprints for the UK,” Ecological Economics, vol. 69, pp. 1140–1147, 2010.
• [19] Z.Y. Zhang, M.J. Shi, H. Yang and A. Chapagain, “An input-output analysis of trends in vitual water trade and the impact on water resources and uses in China,” Economic Systems Research, vol. 23, pp. 431–446, 2011.
• [20] H. Dong, Y. Geng, J. Sarkis, T. Fujita, T. Okadera and B. Xue, “Regional water footprint evaluation in China: A case of Liaoning,” Science of Total Environment, vol. 442, pp. 215–224, 2013.
• [21] T. Okadera, Y. Geng, T. Fujita, H. Dong, Z. Liu, N. Yoshida and T. Kanazawa, “Evaluating the water footprint of the energy supply of Liaoning Province, China: A regional input-output analysis approach,” Energy Policy, vol. 78, pp. 148–157, 2015.
• [22] T.C. Official Gazette, Water Polllution Control Procedure, Ankara, Turkey, 2004. Available: http://www.mevzuat.gov.tr/Metin.Aspx?MevzuatKod=7.5.7221&sourceXmlSearch=&MevzuatIliski=0 [Accessed 20 May 2017]
• [23] American Public Health Association, American Water Works Association, Standard Methods for the Examination of Water and Wastewater, USA, 1999.
• [24] EPA, United States. Office of Water, Environmental Protection Agency. (4303). February 2010. Method 1664, Revision B: n-Hexane, 2010.