Abstract
The recent industrial growth together with the urban expansion and intensive agriculture in Greece has increased groundwater contamination in many regions of the country. In order to design successful remediation strategies and protect public health, it is very important to identify those areas that are most vulnerable to groundwater contamination. In this work, an extensive contamination database from monitoring wells that cover the entire Greek territory during the last decade (2000–2008) was used in order to study the temporal and spatial distribution of groundwater contamination for the most common and serious anionic and cationic trace element pollutants (heavy metals). Spatial and temporal patterns and trends in the occurrence of groundwater contamination were also identified highlighting the regions where the higher groundwater contamination rates have been detected across the country. As a next step, representative contaminated aquifers in Greece, which were identified by the above analysis, were selected in order to analyze the specific contamination problem in more detail. To this end, geostatistical techniques (various types of kriging, co-kriging, and indicator kriging) were employed in order to map the contaminant values and the probability of exceeding critical thresholds (set as the parametric values of the contaminant of interest in each case). The resulting groundwater contamination maps could be used as a useful tool for water policy makers and water managers in order to assist the decision-making process.
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References
Chartzoulakis, K. S. (2005). Salinity and olive: growth, salt tolerance, photosynthesis and yield. Agricultural Water Management, 78, 108–121.
D’Acqui, L. P., Santi, C. A., & Maselli, F. (2007). Use of ecosystem information to improve soil organic carbon mapping of a Mediterranean island. Journal of Environmental Quality, 36, 262–271.
Daskalaki, P., & Voudouris, Ζ. K. (2008). Groundwater quality of porous aquifers in Greece: a synoptic review. Environmental Geology, 54, 505–513.
Dokou, Z., & Karatzas, G. P. (2012). Saltwater intrusion estimation in a karstified coastal system using density-dependent modelling and comparison with the sharp-interface approach. Hydrological Sciences Journal, 57(5), 985–999.
Dokou, Z., Karagiorgi, V., Karatzas, G. P., Nikolaidis, N. P., & Kalogerakis, N. (2015). Large scale groundwater flow and hexavalent chromium transport modeling under current and future climatic conditions: the case of Asopos River Basin. Environmental Science and Pollution Research. doi:10.1007/s11356-015-5771-1.
Founda, D., & Giannakopoulos, C. (2009). The exceptionally hot summer of 2007 in Athens, Greece—a typical summer in the future climate? Global and Planetary Change, 67, 227–236.
Isaaks, E. H., & Srivastava, R. M. (1989). An introduction to applied geostatistics. New York: Oxford University Press.
Kallergis, G., Lambrakis, N., Voudouris, K., & Kokkalas, S. (2000). Hydrogeological Investigation of the Municipality of Malia area. Patras: University of Patras, Department of Geology.
Karatzas G. P., & Dokou, Z. (2015). Managing the saltwater intrusion phenomenon in the coastal aquifer of Malia, Crete using multi-objective optimization. Hydrogeology Journal, 23(6), 1181–1194.
Kourgialas, N. N., & Karatzas, G. P. (2015). An integrated approach for the assessment of groundwater contamination risk/vulnerability using analytical and numerical tools within a GIS framework. Hydrological Sciences Journal, 60(1), 111–132.
Lambrakis, N. (1998). The impact of human activities in the Malia coastal area (Crete) on groundwater quality. Environmental Geology, 36(1–2), 87–92.
Lambrakis, N., & Kallergis, G. (2001). Reaction of subsurface coastal aquifers to climate and land use changes in Greece: modeling of groundwater refreshening patterns under natural recharge conditions. Journal of Hydrology, 245, 19–31.
Lu, P., Su, Y., Niu, Z., & Wu, J. (2007). Geostatistical analysis and risk assessment on soil total nitrogen and total soil phosphorus in the Dongting Lake Plain Area, China. Journal of Environmental Quality, 36, 935–942.
Matheron, G. (1976). A simple substitute for conditional expectation: the disjunctive kriging. Advanced Geostatistics in the Mining Industry NATO Advanced Study Institutes Series, 24, 221–236.
Mikkelsen, S. A. (1992). Current nitrate research in Denmark-background and practical application, nitrate and farming systems. Aspects of Applied Biology, 30, 29–44.
Moraetis, D., Nikolaidis, N. P., Karatzas, G. P., Dokou, Z., Kalogerakis, N., Winkel, L. H. E., & Palaiogianni-Bellou, A. (2012). Origin and mobility of hexavalent chromium in North-Eastern Attica, Greece. Applied Geochemistry, 27, 1170–1178.
Panagiotakis, I., Dermatas, D., Vatseris, C., Chrysochoou, M., Papassiopi, N., Xenidis, A., & Vaxevanidou, K. (2014). Forensic investigation of a chromium(VI) groundwater plume in Thiva, Greece. Journal of Hazardous Materials, 281, 27–34.
Paritsis, S. N. (2001). Management of the water resources of the Municipality of Malia. Heraklion: OANAK (in Greek).
Prasad, R. K., Singh, V. S., Krishnamacharyulu, S. K. G., & Banerjee, P. (2011). Application of drastic model and GIS: for assessing vulnerability in hard rock granitic aquifer. Environmental Monitoring and Assessment, 176, 143–155.
Psarropoulou, E. T., & Karatzas, G. P. (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.
Rouhani, S., & Mayers, D. E. (1990). Problems in space-time kriging of geohydrological data. Mathematical Geology, 22(5), 611–623.
Smedley, P. L., & Kinniburgh, D. G. (2002). A review of the source, behaviour and distribution of arsenic in natural waters. Applied Geochemistry, 17(5), 517–568.
Varouchakis, E. A., Hristopulos, D. T., & Karatzas, G. P. (2012). Improving kriging of groundwater level data using nonlinear normalizing transformations-a field application. Hydrological Sciences Journal, 57(7), 1404–1419.
Venteris, E. R., Basta, N. T., Bigham, J. M., & Rea, R. (2014). Modeling spatial patterns in soil arsenic to estimate natural baseline concentrations. Journal of Environmental Quality, 43, 936–946.
Werner, A. D., Bakker, M., Post, V. E. A., Vandenbohede, A., Lu, C., Ataie-Ashtiani, B., Simmons, C. T., & Barry, A. (2013). Seawater intrusion processes, investigation, and management: recent advances and future challenges. Advances in Water Resources, 51, 3–26.
Yates, S. R., Warrick, A. W., & Myers, D. E. (1986). Disjunctive kriging: 1. Overview of estimation and conditional probability. Water Resources Research, 22(5), 615–621.
Acknowledgments
The authors would like to thank the Greek Institute of Geology and Mineral Exploration (IGME) for providing the contaminant monitoring database used in this work.
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Figure S1
Representative experimental and model variograms for the three test cases (Malia, Korinthiakos and Asopos) (GIF 21 kb)
Table 1
Statistics of concentration data for the three selected aquifers (Malia, Korinthiakos and Asopos) (DOC 27 kb)
Table 2
Measures of the estimation error for all kriging methods (OK, SK, DK and their co-kriging counterparts as well as indicator co-kriging ). (DOC 73 kb)
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Dokou, Z., Kourgialas, N.N. & Karatzas, G.P. Assessing groundwater quality in Greece based on spatial and temporal analysis. Environ Monit Assess 187, 774 (2015). https://doi.org/10.1007/s10661-015-4998-0
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DOI: https://doi.org/10.1007/s10661-015-4998-0