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Applied Geology and Geoinformatics for Ground Water Exploration, Protection and Management

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Water Safety, Security and Sustainability

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Abstract

Groundwater protection leading to a sustainable management of the resource is greatly supported by the use of groundwater monitoring systems. The respective conceptual models representing the groundwater cycle as well as the quality of data input to those systems, defines their efficiency. The chapter is based on previous successful case studies regarding groundwater exploration for resource allocation, vulnerability and risk assessment, management and protection using groundwater information systems. Key outputs show that it is feasible to: (i) identify and accurately map water flow paths and plan efficient exploration while at the same time, identifying and delineating recharge areas for protection; (ii) successfully assess vulnerability and risk using existing models and plan protection from surface pollution/contamination; (iii) use geo-informatics science and technologies to acquire data and information at the required level in order develop reliable conceptual groundwater models, to support groundwater protection and management from the aquifer to consumption and reuse; (iv) protect groundwater throughout its cycle by making informed decisions based on developing groundwater monitoring systems for early warning and management.

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References

  1. Al-Adamat RAN, Foster IDL, Baban SMJ (2003) Groundwater vulnerability and risk mapping for the Basaltic aquifer of the Azraq basin of Jordan using GIS, remote sensing and DRASTIC. Appl Geogrv 23, 303–324

    Google Scholar 

  2. Al-Djazouli MO, Elmorabiti K, Rahimi A (2020) Delineating of groundwater potential zones based on remote sensing, GIS and analytical hierarchical process: a case of Waddai, eastern Chad. GeoJournal https://doi.org/10.1007/s10708-020-10160-0

  3. Al-Zabet T (2002) Evaluation of aquifer vulnerability of contamination potential using the DRASTIC method. Environ Geol 43, 203–208. American Public Health Association

    Google Scholar 

  4. Aller L, Bennett T, Lehr J, Hackett G (1987) DRASTIC: a standardized system for evaluating ground water pollution potential using hydrogeologic settings. Robert Kerr Environmental Research Lab., United States Environmental Protection Agency, EPA, p 622

    Google Scholar 

  5. Batlle-Aguilar J, Banks EW, Batelaan O, Kipfer R, Brennwald MS, Cook PG (2018)Groundwater residence time and aquifer recharge in multilayered, semi-confined and faulted aquifer systems using environmental tracers. J Hydrol 546, 150–165

    Google Scholar 

  6. Benjmel K, Amraoui F, Boutaleb S, Ouchchen M, Tahiri A, Touab A (2019) Mapping of groundwater potential zones in crystalline terrain using remote sensing, GIS techniques, and multicriteria data analysis (Case of the Ighrem Region, Western Anti-Atlas, Morocco). Water 2020, 12(2):471. https://doi.org/10.3390/w12020471

  7. Biehl L, Landgrebe D (2021) Multispec: a freeware Multispectral image data analysis system. Purdue University. 27 Feb 2021. https://engineering.purdue.edu/~biehl/MultiSpec/index.html

  8. Bowers S, Hanks RJ (1965) Reflectance of radiant energy from soils. Soil Sci 100:130–138

    Article  Google Scholar 

  9. Conrad O, Bechtel B, Bock M, Dietrich H, Fischer E, Gerlitz L, Wehberg J, Wichmann V, Bohner J (2015) System for automated geoscientific analyses (SAGA) v. 2.1.4. Geosci Model Dev 8:1991–2007. https://doi.org/10.5194/gmd-8-1991-2015

    Article  Google Scholar 

  10. Curran PJ (1989) Remote sensing of foliar chemistry. Remote Sens Environ 30(3):271–278

    Google Scholar 

  11. D’ Odorico P, Besik A, Wong CY, Isabel N, Ensminger I (2020) High-throughput drone based remote sensing reliably tracks phenology in thousands of conifer seedlings. New Phytol 226(6). https://doi.org/10.1111/nph.16488

  12. Djeuda Tcapnga HB, Ekodek GE (1990) Relations entre la fracturation des Roches et les Systemes d'ecoulement. In: Parriaux A (ed) Water resources in mountainous regions. Memoires International Association of XXII, part 2, pp 821–829

    Google Scholar 

  13. Doerfliger N, Jeannin PY, Zwahlen F (1999) Water vulnerability assessment in karst environments: a new method of defining protection areas using a multi-attribute approach and GIS tools (EPIK method). Environ Geol 39:165–176. https://doi.org/10.1007/s002540050446

    Article  CAS  Google Scholar 

  14. Dwivedi, R.S. 2017. “Spectral Reflectance of Soils.” In: Remote Sensing of Soils. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-53740-4_6

  15. Earth Explorer US, Geological Survey (2000) Earth explorer: US geological survey fact sheet 083-00, 1 p https://pubs.usgs.gov/fs/2000/0083/

  16. Engel B, Kumar N, Cooper B (1996) Estimating groundwater vulnerability to nonpoint source pollution from nitrates and pesticides, on a regional scale. In: HydroGIS 96, Application of geographic information systems in hydrology and water resources management (Proceedings of the Vienna Conference, April 1996). AHSPublication vol 235

    Google Scholar 

  17. EU Commission (2000) Directive 2000/60/EC of the European parliament and of the council of 23 October 2000 establishing a framework for community action in the field of water policy. Off J L 327, 0001 0073. 22 Dec 2000

    Google Scholar 

  18. European Commission, Directorate-General for the Environment (2008) Groundwater protection in Europe. In: The new groundwater directive, consolidating the EU regulatory framework. Information centre (BU9 0/11) B-1049 Brussels. ISBN 978-92-79-09817-8, https://doi.org/10.2779/84304

  19. European Commission (2004) Groundwater risk assessment. Technical report on groundwater risk assessment issues as discussed at the workshop of 28th Jan 2004–12 Oct 2004

    Google Scholar 

  20. Ferronato N, Torretta V (2019) Waste mismanagement in developing countries: a review of global issues. 2017, Int J Environ Res Public Health 16, 1060. https://doi.org/10.3390/ijerph16061060, www.mdpi.com/journal/ijerph

  21. Gamon JA, Huemmrich K, Fred W, Christopher YS, Ensminger I, Garrity S (2016) A remotely sensed pigment index reveals photosynthetic phenology in evergreen conifers. In: Proceedings of the national academy of sciences of the USA.

    Google Scholar 

  22. GISGeography (2021) Thirteen open source remote sensing software packages. 27 Feb 2021. https://gisgeography.com/open-source-remote-sensing-software-packages/

  23. Goldscheider N, Klute M, Sturm S, Hotzl H (2000) The PI method”a GIS-based approach to mapping ground water vulnerability with special consideration of karst aquifer. Zeitschnft Angewandte Geologie 46(3):153–166

    Google Scholar 

  24. Hollinger DY, Noormets A, Peñuelas J (2016) A remotely sensed pigment index reveals photosynthetic phenology in evergreen conifers. PNAS 113(46):13087–13092. 15 Nov 2016, first published 1 Nov 2016. https://doi.org/10.1073/pnas.1606162113

  25. Hounslow A (1995) Water quality data analysis and interpretation. Lewis Publishers, p 397

    Google Scholar 

  26. Huajie D, Zhengdong D, Feifan D, Daqing W (2016) Assessment of groundwater potential based on multicriteria decision making model and decision tree algorithms. Math Probl Eng 2064575. https://doi.org/10.1155/2016/2064575

  27. Hunt G, Salisbury J (1971) Visible and near-infrared spectra of minerals and rocks: II, carbonates. Mod Geol 2:23–30

    CAS  Google Scholar 

  28. Inzana J, Kusky T, Higgs G, Tucker R (2003) Supervised classifications of Landsat TM band ratio images and Landsat TM band ratio image with radar for geological interpretations of central Madagascar. J Afr Earth Sci 37(1–2):59–72

    Article  CAS  Google Scholar 

  29. Jing Y, Xin W, Chang-xiang Y, Shu-Rong W, Xue-Ping, J, Yi L (2019) Soil moisture retrieval model for remote sensing using reflected hyperspectral information. Remote Sens 11, 366. https://doi.org/10.3390/rs11030366

  30. Kallergis Y (1970) Hydrogeological study of the Kalabaka sub-basin (W. Thessaly) [In Greek], PhD dissertation, National Technical University of Athens, Athens

    Google Scholar 

  31. Kupfersberger H, Pulido-Velazquez M, Wachniew P (2011) Conceptual models and first simulations, Deliverable D5.2, Project: groundwater and dependent ecosystems: new scientific and technological basis for assessing climate change and land-use impacts on groundwater- GENESIS. Project funded under FP7-ENVIRONMENT

    Google Scholar 

  32. Lalbat F, Blavoux B, Banton O (2007) Description of a simple hydrochemical indicator to estimate groundwater residence time in carbonate aquifers. Geophys Res Lett 34(19)

    Google Scholar 

  33. Lukjana A, Swasdib S, Chalermyanonta T (2016) Importance of alternative conceptual model for sustainable groundwater management of the Hat Yai Basin, Thailand. In: 12th international conference on hydroinformatics, HIC 2016. Elsevier Sciencedirect, Procedia Engineering 154, pp 308–316

    Google Scholar 

  34. Maimaitiyiming M, Ghulam A, Bozzolo A, Wilkins JL, Kwasniewski MT (2017) Early detection of plant physiological responses to different levels of water stress using reflectance spectroscopy. Remote Sens 9(7):745. https://doi.org/10.3390/rs9070745

  35. Meijerink AMJ (2007) Remote sensing applications to groundwater. IHP-VI, series on groundwater no. 16. UNESCO

    Google Scholar 

  36. Meladiotis I, Papatheodorou K, Popa I (1994) Distribution in time and space of the Chloride ion concentration in the exploitable aquifers in the eastern part of the Plain of Thessaloniki (Greece). In: Proceedings of the international hydrogeologic symposium “Impact of industrial activities on groundwater”, Constanta, Romania, pp 617–632

    Google Scholar 

  37. Nalbant S, Alptekin O (1995) The use of landsat thematic mapper imagery for analysing lithology and structure of Korucu-Dugla area in western Turkey. Int J Remote Sens 16:2357–2374

    Article  Google Scholar 

  38. National Aeronautics and Space Administration, Science Mission Directorate (2010) Reflected near-infrared waves. 10 Sept 2020, NASA Science website: http://science.nasa.gov/ems/08_nearinfraredwaves

  39. Neshat A, Pradhan B, Pirasteh S (2014) Estimating groundwater vulnerability to pollution using a modified DRASTIC model in the Kerman agricultural area, Iran. Environ Earth Sci 71, 3119–3131. https://doi.org/10.1007/s12665-013-2690-7

  40. Nolan BT (2005) Relating nitrogen sources and aquifer susceptibility to nitrate in shallow ground waters of the United States. Groundwater 39(2):290–299. March 2001, https://doi.org/10.1111/j.1745-6584.2001.tb02311.x

  41. Papanikolaou D (2015) Geology of greece. Patakis editions

    Google Scholar 

  42. Papatheodorou C (2010) Ground water flow paths delineation using Remote Sensing techniques and GIS. In: 30th EARSel symposium, remote sensing for science, education, natural and cultural heritage. Paris, France, June 2010

    Google Scholar 

  43. Papatheodorou K, Evangelidis K (2008) Ground water information system: a digital tool for groundwater resources protection and management. In: 4th international environmental conference of the Balkan environmental association (BENA), life quality and capacity building in the frame of a safe environment. Katerini, Greece

    Google Scholar 

  44. Papatheodorou K, Veranis N (2018) Geomatics technologies for groundwater prospecting in hard rocks. J Environ Prot Ecol 19(3):1421–1430

    Google Scholar 

  45. Papatheodorou K, Veranis N, Patsiaros N (2010) Groundwater vulnerability in the plain of Emathia prefecture: an implementation of the DRASTIC methodology. Choro-Graphies 1(1),17–24. Series, ISSN: 1792-3913

    Google Scholar 

  46. Papatheodorou K, Evangelidis K, Ntouros K (2017) Geomatics technologies for environmental protection and resource management. J Environ Prot Ecol 18(1):168–180

    CAS  Google Scholar 

  47. Papatheodorou K, Theocharis D, Fountoulis I (2012) A remotely sensed contribution to the Western Attica (Greece) tectonic Geology. In: 32th EARSEL symposium “Advances in geosciences”, 4th workshop on remote sensing and geology. Mykonos, Greece

    Google Scholar 

  48. QGIS Development Team (2020) QGIS Geographic information system. Open source geospatial foundation project. http://qgis.osgeo.org

  49. Rajput H, Goyal R, Brighu U (2020) Modification and optimization of DRASTIC model for groundwater vulnerability and contamination risk assessment for Bhiwadi region of Rajasthan, India. Environ Earth Sci 79, 136. https://doi.org/10.1007/s12665-020-8874-z

  50. Rashid U, Izrar A, Fakhre A (2009) Mapping groundwater vulnerable zones using modified DRASTIC approach of an alluvial aquifer in parts of central Ganga plain, Western Uttar Pradesh. J Geol Soc India, Springer, 73.

    Google Scholar 

  51. Rupert MG (2001) Calibration of the DRASTIC vulnerability method. Ground Water 625–630

    Google Scholar 

  52. Sabins FF (1997) Remote sensing: principles and interpretation, 3rd ed xiii 494 p New York: W. H. Freeman and Co

    Google Scholar 

  53. Scheidleder A, Grath J, Winkler G, Stark U, Koreimann C, Gmeiner C, Gravesen P, Leonard J, Elvira M, Nixon S, Casillas J, Lack TJ (1999) Groundwater quality and quantity in Europe: data and basic information. Technical report No 22, European Environment Agency

    Google Scholar 

  54. Scheidleder A, Grath J, Winkler G, Stark U, Koreimann C, Gmeier C, Nixon S, Casillas J, Gravesen P, Leonard J, Elvira M (1999) Groundwater quality and quantity in Europe. Report prepared under the supervision of the European Environment Agency

    Google Scholar 

  55. Secunda S, Collin ML, Melloul A (1998) Groundwater vulnerability assessment using a composite model combining DRASTIC with extensive agricultural land use in Israel Sharon region. J Environ Manage 54:3957

    Article  Google Scholar 

  56. Sentinel-2 Digital Object Identifier. https://doi.org/10.5066/F76W992G

  57. Sentinel-2, ESA's Optical High-Resolution Mission for GMES Operational Services (ESA), SP-1322/2 (2012)

    Google Scholar 

  58. Sidiropoulos N (1991) Lithology, Geochemistry, Structure and Metamorphism of the Northwestern part of Mountain Vertiskos. The Kroussia Mount area. PhD thesis, Aristotle University of Thessaloniki

    Google Scholar 

  59. Spijker J, Lieste R, Zijp M, de Nijs T (2010) Conceptual models for the water framework directive and the groundwater directive. Report 607300015/2010. RIVM, Postbus 1, 3720 BA Bilthoven

    Google Scholar 

  60. Suganthi S, Elango L, Subramanian SK (2013) Groundwater potential zonation by remote sensing and GIS techniques and its relation to the groundwater level in the coastal part of the arani and koratalai river basin, Southern India. Earth Sci Res J 17(2):87–95

    Google Scholar 

  61. Sultan M, Arvidson RE, Sturchio N (1987) Lithologic mapping in arid regions with Landsat thematic mapper data: meatiq dome, Egypt. Geol Soc Am Bull 99:748–762

    Article  Google Scholar 

  62. Thitumalaivasan D (2001) Aquifer vulnerability assessment using analytical hierarchy process and GIS for upper palar watershed. In: 22nd Asian conference on remote sensing. Singapore. 5–9 Nov 2001

    Google Scholar 

  63. Travaglia C, Dainelli N (2003) Groundwater research by remote sensing: a methodological approach. In: Environment and natural resources service, sustainable development department. food and agriculture organization of the united nations, Rome

    Google Scholar 

  64. Tsiamis A, Papatheodorou K, Perakis K (2015) Geologic indices in locating mineral resources. In: Fourth hellenic conference of planning and regional development. University of Thessaly, Volos, Greece. 24–27 Sept

    Google Scholar 

  65. Twana OA, Salahalddin SA, Nadhir AA-A, Sven K (2015) Groundwater vulnerability mapping using lineament density on standard DRASTIC model: case study in Halabja Saidsadiq Basin, Kurdistan Region, Iraq. Engineering, vol 7, pp 644–667. http://www.scirp.org/journal/eng

  66. U.S. Geological Survey (2021) Landsat collection 2 (ver. 1.1, 15 Jan 2021): U.S. Geological survey fact sheet 4 p 30 Feb 2021. https://doi.org/10.3133/fs20213002

  67. United Nations World Water Assessment Programme Special Report (2009) Climate change and water: an overview from the world water development report 3: water in a changing world. In: Published by the united nations world water assessment programme. programme office for global water assessment, division of water sciences, UNESCO, 06134 Colombella, Perugia, Italy

    Google Scholar 

  68. Ustin SL, Gitelson AA, Jacquemoud S, Schaepman M, Asner GP, Gamon JA, Zarco-Tejada P. (2009) Retrieval of foliar information about plant pigment systems from high resolution spectroscopy. Remote Sens Environ 113(1):67–77

    Google Scholar 

  69. Stempvoort V, Dale; Ewert, Lee & Wassenaar, Leonard. (1993) Aquifer vulnerability index: a GIS compatible method for groundwater vulnerability mapping. Can Water Resour J/Rev Can RessourS Hydr 18(1):25–37. https://doi.org/10.4296/cwrj1801025

    Article  Google Scholar 

  70. Veranis N, Kalousi E, Lazaridou M, Pratanopoulos A, Chatzikyrkou A (2010) Hydro-geological study of the aquifer systems of central macedonia region, CSF Project 2003–2009. In: Inventory and assessment of hydrogeological character of the aquifer systems of the country. RUCM-IGME, 15 issues, maps

    Google Scholar 

  71. Waters P (1988) Methodology of lineament analysis for hydrogeological investigations. In: Satellite remote sensing for hydrology and water management, the mediterranean coasts and Islands. Gordon and Breach Science Publishers, London, UK

    Google Scholar 

  72. Waters P, Greenbaum D, Smart PL, Osmanston H (1990) Applications of remote sensing to groundwater hydrology. Remote Sens Rev 4(2):223–264

    Article  Google Scholar 

  73. Wessman CA, Aber JD, Peterson DL (1989) An evaluation of imaging spectrometry for estimating forest canopy chemistry. Int J Remote Sens 10(8)

    Google Scholar 

  74. Wong CYS, D’Odorico P, Bhathena Y, Arain MA, Ensminger I (2019) Carotenoid based vegetation indices for accurate monitoring of the phenology of photosynthesis at the leaf-scale in deciduous and evergreen trees. Remote Sens Environ 233, 111407

    Google Scholar 

  75. World Meteorological Organization (2013) Planning of water quality monitoring systems. Publications Board World Meteorological Organization (WMO), Chair

    Google Scholar 

  76. Zaporozec A, Conrad JE, Hirata R, Johansson PO, Nonner JC, Romijn E, Weaver JMC (2002) Groundwater contamination inventory: a methodological guide. IHP-VI, series on groundwater No. 2, UNESCO

    Google Scholar 

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Authors and Affiliations

  1. Applied Geology and Geoinformatics, Surveying and Geoinformatics Engineering Department, International Hellenic University, Serres University Campus, 62124, Serres, Greece

    Konstantinos Papatheodorou

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  1. Konstantinos Papatheodorou
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Correspondence to Konstantinos Papatheodorou .

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  1. International Clean Water Institute, Manassas, VA, USA

    Ashok Vaseashta

  2. Faculty of Civil Engineering, Transylvania University of Braşov, Brasov, Romania

    Carmen Maftei

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Papatheodorou, K. (2021). Applied Geology and Geoinformatics for Ground Water Exploration, Protection and Management. In: Vaseashta, A., Maftei, C. (eds) Water Safety, Security and Sustainability. Advanced Sciences and Technologies for Security Applications. Springer, Cham. https://doi.org/10.1007/978-3-030-76008-3_2

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