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Assessment of Pollution Risk Mapping Methods in an Eastern Mediterranean Catchment

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The protection and preservation of good groundwater quality is of critical importance worldwide, nowadays. Increasing urbanization, economic development and agricultural activities, combined with limited precipitation contribute to the quantitative and qualitative degradation of groundwater resources, especially in the eastern Mediterranean region. For this purpose, a series of actions are implemented including groundwater vulnerability mapping that can depict prone to pollution aquifers which need protection and/or restoration measures. In this study, the efficiency of two well-known methodologies (COP and DRASTIC) for groundwater vulnerability and pollution risk mapping was assessed in the Sperchios river basin. The vulnerability and pollution risk maps of the two methodologies were spatially compared to each other and the observed similarities and differences were discussed and explained. The output of the study shows that in the particular geoenvironmental conditions DRASTIC method performs better than the COP, particularly in the lowland, porous media aquifer.
Rocznik
Strony
55--68
Opis fizyczny
Bibliogr. 29 poz., rys., tab.
Twórcy
  • Hellenic Open University, School of Science and Technology, Patras, Greece
autor
  • Hellenic Open University, School of Science and Technology, Patras, Greece
  • Hellenic Centre for Marine Research, Institute of Inland Waters, Anavissos, Attika, Greece
Bibliografia
  • 1. Aller L, Bennet T, Leher JH, Petty RJ, Hackett G. 1987, DRASTIC: a standardized system for evaluating ground water pollution potential using hydrogeological settings. US Enviromental Protection Agency, Report 600/2–85/018.
  • 2. Al-Adamat, R.A.N., Foster, I.D.L., Baban, S.M.J. 2003, Groundwater vulnerability and risk mapping for the Basaltic aquifer of the Azraq basin of Jordan using GIS, Remote sensing and DRASTIC. Applied Geography (Sevenoaks, England), 23, 303–324.
  • 3. Babiker Ι.S., Mohamed M., Hiyama T., Kato K. 2005, A GIS-based DRASTIC model for assessing aquifer vulnerability in Kakamigahara Heights, Gifu Prefecture, central Japan. Science of the Total Environment, 345, 127–140.
  • 4. Boughriba M., Barkaoui A, Zarhloule Y., Lahmer Z., Houadi B., Verdoya M. 2010, Groundwater vulnerability and risk mapping of the Angad transboundary aquifer using DRASTIC index method in GIS environment, Arabian Journal of Geosciences, 3 (2), 207–220.
  • 5. Daly D, Dassargues A, Drew D, Dunne S, Goldscheider N, Neale S, Popescu I.C, Zwahlen F. 2002, Main concepts of the “European approach” to karst-groundwater-vulnerability assessment and mapping, Hydrogeology Journal, 10, 340–345.
  • 6. Dassenakis E., Kastritis A., Triantafyllaki S., Bourou P. and Paraskevopoulou V. 2005, Transport of pollutants in Sperchios catchment area and impacts to the coastal zone. Proceedings of the 5th Conference of the Hellenic Committee on Water Resources Management, Xanthi, Greece, pp. 210–211.
  • 7. Dimitriou E., Karaouzas I., Sarantakos K., Zacha rias I., Bogdanos I., Diapoulis A. 2008, Groundwater risk assessment at a heavily industrialised catchment and the associated impacts on a periurban wetland, Journal of Environmental Management, 88, 526–538.
  • 8. Dimitriou E., Mentzafou A, Tzortziou M., Zeri Ch. 2011, Environmental monitoring and pollution pressures identification in Sperchios river catchment. Proceedings of the 3rd International CEMEPE & SECOTOX Conference, Skiathos, pp. 323–328.
  • 9. Eckhardt, D.A.V., Stackelberg, P.E. 1995. Relation of ground-water quality to land use on Long Island, New York Ground Water, 33, 1019–1033.
  • 10. Gogu R.C., Dassargues A. 2000, Current trends and future challenges in groundwater vulnerability assessment using overlay and index methods, Environmental Geology 39 (6), 549–559.
  • 11. Gogu R.C., Dassargues A., Hallet V. 2003, Comparison of aquifer vulnerability assessment techniques. Application to the Neblon River basin (Belgium), Environmental Geology, 44, 881–892.
  • 12. Karaouzas I., Dimitriou E., Skoulikidis N., Gritzalis K., Colombari E. 2009, Linking Hydrogeological and Ecological Tools for an Integrated River Catchment Assessment, Environ Model Assess, 14, 677–689.
  • 13. Karatzas G. and Psarropoulou E. 2014, Pollution of nitrates – Contaminant Transport in heterogeneous porous media: A case study of the coastal aquifer of Corinth, Greece, Global NEST Journal, 16 (1), 9–23.
  • 14. Kazakis N. and Voudouris K. 2015, Groundwater vulnerability and pollution risk assessment of porous aquifers to nitrate: Modifying the DRASTIC method using quantitative parameters, Journal of Hydrology, 525, 13–25.
  • 15. Kazakis N., Voudouris K., 2011, Comparison of three applied methods of groundwater vulnerability mapping: A case study from the Florina basin, Northern Greece, Advances in the Research of Aquatic Environment, Part of the series Environmental Earth Sciences, Springer, pp. 359–367.
  • 16. Luoma S., Okkonen J., Korkka-Niemi K., 2016, Comparison of the AVI, modified SINTACS and GALDIT vulnerability methods under future climate-change scenarios for a shallow low-lying coastal aquifer in southern Finland, Hydrogeology Journal, doi:10.1007/s10040–016–1471–2.
  • 17. Martínez-Bastida J.J., Arauzo M., Valladolid M. 2010, Intrinsic and specific vulnerability of groundwater in central Spain: the risk of nitrate pollution, Hydrogeology Journal, 18, 681–698.
  • 18. Matiatos I. 2016, Nitrate source identification in groundwater of multiple land-use areas by combining isotopes and multivariate statistical analysis: A case study of Asopos basin (Central Greece), Science of the Total Environment, 541, 802–814.
  • 19. Nobre R.C.M., Rotunno Filho O.C., Mansur W.J., Nobre M.M.M., Cosenza C.A.N. 2007, Groundwater vulnerability and risk mapping using GIS, modeling and a fuzzy logic tool, Journal of Contaminant Hydrology, 94, 277–292.
  • 20. Panagopoulos G.P., Antonakos A.K., Lambrakis N.J. 2006, Optimization of the DRASTIC method for groundwater vulnerability assessment via the use of simple statistical methods and GIS, Hydrogeology Journal, 14, 894–911.
  • 21. Polemio M., Casarano D., Limoni P. P. (2009), Karstic aquifer vulnerability assessment methods and results at a test site (Apulia, southern Italy), Nat. Hazards Earth Syst. Sci., 9, 1461–1470.
  • 22. Psomiadis, E. (2010), Geomorphologic and Environmental Changes Research in the Sperchios’ River Basin Utilizing New Technologies. PhD Thesis elaborated at the Agricultural University of Athens, Laboratory of Mineralogy-Geology.
  • 23. Pisciotta A., Cusimano G., Favara R., 2015, Groundwater nitrate risk assessment using intrinsic vulnerability methods: A comparative study of environmental impact by intensive farming in the Mediterranean region of Sicily, Italy, Journal of Geochemical Exploration, Vol. 156, pp. 89–100.
  • 24. Sorichetta A, Ballabio C, Masetti M, Robinson GR Jr, Sterlacchini S., 2013, A comparison of data-driven groundwater vulnerability assessment methods, Ground Water, 51 (6): 866–879.
  • 25. Vıas J.M., Andreo B., Perles M.J., Carrasco F., Vadillo I., Jimenez P. 2006, Proposed method for groundwater vulnerability mapping in carbonate (karstic) aquifers: the COP method, Hydrogeology Journal, 14, 912–925.
  • 26.Voudouris Κ., 2006, Environmental Hydrogeology, AUTH, Thessaloniki, pp. 169–181.
  • 27.Voudouris K., Kazakis N., Polemio M., Kareklas K. 2010, Assessment of Intrinsic Vulnerability using the DRASTIC model and GIS in the Kiti Aquifer, Cyprus, European Water, 30, 13–24.
  • 28. Zhang W.L., Tian Z.X., Zhang N., Li X.Q. 1996. Nitrate pollution of groundwater in northern China. Agriculture Ecosystems & Environment, 59, 223–231.
  • 29. Zwahlen F. 2003, Vulnerability and Risk Mapping for the Protection of Carbonate (Karst) Aquifers, COST Action 620, Final Report.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-056cf55b-1ce4-4155-bfd8-d40111f493a4
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