Grey water footprint assessment of geothermal water resources in the southeastern Anatolia region
Grey water footprint assessment of geothermal water resources in the southeastern Anatolia region
This paper aimed to determine the grey water footprint (GWF) of geothermal water resources and to investigate the effect of biochar adsorption on grey water footprint in Southeastern Turkey. In this paper, GWF has been calculated in terms of iron (Fe), arsenic (As), manganese (Mn), boron (B), and chrome (Cr) concentrations for fifteen observation geothermal resources located in Southeastern Anatolia Region. In this study, a new approach based on the GWF was developed in order to determine the geothermal water pollution. Grey water footprints related to fifteen geothermal resources were investigated. In the second stage of the study, the effect of biochar adsorption on GWF was estimated using Monte Carlo simulation. The results revealed that arsenic led to higher GWF than other pollutant parameters in geothermal water resources. Biochar application could reduce the GWF according to Monte Carlo simulation. The total average reduction of GWF would be approximately 95, 93.1, 87.5, 96, and 90% respectively for Fe, As, Mn, B and Cr pollution if biochar adsorption is applied for geothermal water treatment.
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- Aldaya MM, Rodriguez CI, Fernandez-Poulussen A, Merchan D, Beriain MJ et al. (2020). Grey water footprint as an indicator for diffuse nitrogen pollution: the case of Navarra, Spain. Science of the Total Environment 698: 134338. doi: 10.1016/j. scitotenv.2019.134338
- American Public Health Association (APHA). American Water Works Association, (1995). Standard methods for the examination of water and wastewater, USA.
- Baba A, Şaroğlu F, Akkuş I, Özel N, Yeşilnacar Mİ et al. (2019). Geological and hydrogeochemical properties of geothermal systems in the southeastern region of Turkey. Geothermics 78: 255-271. doi: 10.1016/j.geothermics.2018.12.010
- Derin P (2019). Investigation of Karaali (Sanliurfa) geothermal field in terms of heavy metal pollution, MSc, Harran University, Sanliurfa, Turkey. (in Turkish)
- Ernst FB, Yesilnacar Mİ, Sak, ZH, Atasoy AD, Ciftci C et al. (2021). An administrative model suggestion for the management of geothermal energy resources in Şanlıurfa, Turkey. Dicle University Journal of Engineering 12 (2): 451-457. doi: 10.24012/dumf.871675
- Chapman D (1996). Water Quality Assessments-A Guide to Use of Biota, Sediments and Water in Environmental Monitoring. 2nd ed. CRC Press, Boca Raton, FL, USA.
- Derin P, Yetiş AD, Yeşilnacar Mİ, Yapıcıoğlu P (2020). Investigation of potential heavy metal pollution caused by geothermal waters in GAP’s largest irrigation area. Geological Bulletin of Turkey 63 (1): 125-136. doi: 10.25288/tjb.626743
- Franke NA, Bovaciuglu H, Hoekstra AY (2013). Grey Water Footprint Accounting: Tier 1 Supporting Guidelines - Value of Water Research Report Series No 65. UNESCO-IHE, Delft, The Netherlands.
- Southeastern Anatolia Project (GAP) Regional Development Administration (2015). GAP İleri Jeotermal Kaynakları Araştırma Projesi Raporu, Türkiye.
- Hoekstra AY, Chapagain AK, Aldaya MM, Mekonnen MM (2011). ‘The Water Footprint Assessment Manual’, Earthscan, LondonWashington, DC.
- Kroese, DP, Breroton T, Taimre T, Botev ZI (2014). Why the Monte Carlo method is so important today. WIREs Computational Statistics 6 (6): 386–392. doi: 10.1002/wics.1314
- Miglietta PP, Toma P, Fanizzi FP, De Donno A, Coluccia B et al. (2017). A grey water footprint assessment of groundwater chemical pollution: case study in Salento (southern Italy). Sustainability 9 (5): 799. doi: 10.3390/su9050799
- Morera S, Corominas L, Poch M, Aldaya MM, Comas J (2016). Water footprint assessment in wastewater treatment plants. Journal of Cleaner Production 112: 4741–4748. doi: 10.1016/j. jclepro.2015.05.102
- Qambrani NA, Rahman MM, Won S (2017). Biochar properties and eco-friendly applications for climate change mitigation, waste management, and wastewater treatment: A review. Renewable and Sustainable Energy Reviews 79: 255–273. doi: 10.1016/j. rser.2017.05.057
- Serio F, Miglietta PP, Lamastra L, Ficocelli, S, Intini F et al. (2018). Groundwater nitrate contamination and agricultural land use: A grey water footprint perspective in Southern Apulia Region (Italy). Science of the Total Environment 645: 1425-1431. doi: 10.1016/j.scitotenv.2018.07.241
- Water Footprint Network (WFN) (2014). Water Resources Management, WFN Manuel.
- World Health Organization (WHO) (2011). WHO Guidelines for Drinking-water Quality, 2011.
- Yapıcıoğlu P (2019a). Grey water footprint of a dairy industry wastewater treatment plant: a comparative study. Water Practice and Technology 14 (1): 137-144. doi: 10.2166/wpt.2018.114
- Yapıcıoğlu P (2019b). 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
- Yapıcıoğlu, P (2020). Grey water footprint assessment for a dye industry wastewater treatment plant using Monte Carlo simulation: Influence of reuse on minimisation of the GWF. International Journal of Global Warming 21 (2): 199-213. doi: 10.1504/IJGW.2020.10030266