Year 2019, Volume 23, Issue 2, Pages 175 - 183 2019-04-01

Seasonal Water Footprint Assessment For A Paint Industry Wastewater Treatment Plant

Pelin Yapıcıoğlu [1]

69 187

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.

paint industry wastewater, water footprint
  • 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.
Primary Language en
Subjects Environmental Engineering
Published Date April 2019
Journal Section Research Articles
Authors

Orcid: 0000-0002-6354-8132
Author: Pelin Yapıcıoğlu (Primary Author)
Institution: Harran University
Country: Turkey


Bibtex @research article { saufenbilder411137, journal = {Sakarya University Journal of Science}, issn = {1301-4048}, eissn = {2147-835X}, address = {Sakarya University}, year = {2019}, volume = {23}, pages = {175 - 183}, doi = {10.16984/saufenbilder.411137}, title = {Seasonal Water Footprint Assessment For A Paint Industry Wastewater Treatment Plant}, key = {cite}, author = {Yapıcıoğlu, Pelin} }
APA Yapıcıoğlu, P . (2019). Seasonal Water Footprint Assessment For A Paint Industry Wastewater Treatment Plant. Sakarya University Journal of Science, 23 (2), 175-183. DOI: 10.16984/saufenbilder.411137
MLA Yapıcıoğlu, P . "Seasonal Water Footprint Assessment For A Paint Industry Wastewater Treatment Plant". Sakarya University Journal of Science 23 (2019): 175-183 <http://www.saujs.sakarya.edu.tr/issue/39539/411137>
Chicago Yapıcıoğlu, P . "Seasonal Water Footprint Assessment For A Paint Industry Wastewater Treatment Plant". Sakarya University Journal of Science 23 (2019): 175-183
RIS TY - JOUR T1 - Seasonal Water Footprint Assessment For A Paint Industry Wastewater Treatment Plant AU - Pelin Yapıcıoğlu Y1 - 2019 PY - 2019 N1 - doi: 10.16984/saufenbilder.411137 DO - 10.16984/saufenbilder.411137 T2 - Sakarya University Journal of Science JF - Journal JO - JOR SP - 175 EP - 183 VL - 23 IS - 2 SN - 1301-4048-2147-835X M3 - doi: 10.16984/saufenbilder.411137 UR - https://doi.org/10.16984/saufenbilder.411137 Y2 - 2018 ER -
EndNote %0 Sakarya University Journal of Science Seasonal Water Footprint Assessment For A Paint Industry Wastewater Treatment Plant %A Pelin Yapıcıoğlu %T Seasonal Water Footprint Assessment For A Paint Industry Wastewater Treatment Plant %D 2019 %J Sakarya University Journal of Science %P 1301-4048-2147-835X %V 23 %N 2 %R doi: 10.16984/saufenbilder.411137 %U 10.16984/saufenbilder.411137
ISNAD Yapıcıoğlu, Pelin . "Seasonal Water Footprint Assessment For A Paint Industry Wastewater Treatment Plant". Sakarya University Journal of Science 23 / 2 (April 2019): 175-183. https://doi.org/10.16984/saufenbilder.411137