Coastal groundwater systems: mapping chloride distribution from borehole and geophysical data

Rahman, Mohammad Azizur
Zhao, Qian
Wiederhold, Helga ORCIDiD
Skibbe, Nico
González, Eva ORCIDiD
Deus, Nico
Siemon, Bernhard ORCIDiD
Kirsch, Reinhard
Elbracht, Jörg

DOI: https://doi.org/10.1007/s00767-021-00475-1
Persistent URL: http://resolver.sub.uni-goettingen.de/purl?gldocs-11858/11012
Rahman, Mohammad Azizur; Zhao, Qian; Wiederhold, Helga; Skibbe, Nico; González, Eva; Deus, Nico; Siemon, Bernhard; Kirsch, Reinhard; Elbracht, Jörg, 2021: Coastal groundwater systems: mapping chloride distribution from borehole and geophysical data. In: Grundwasser, 26, 2, 191-206, DOI: https://doi.org/10.1007/s00767-021-00475-1. 
 
Rahman, Mohammad Azizur; Manchester, UK
Zhao, Qian; Shenzhen, China
Wiederhold, Helga; Leibniz Institute for Applied Geophysics, Hannover, Germany
Skibbe, Nico; Leibniz Institute for Applied Geophysics, Hannover, Germany
González, Eva; Geological Survey of Lower Saxony (LBEG), Hannover, Germany
Deus, Nico; Geological Survey of Lower Saxony (LBEG), Hannover, Germany
Siemon, Bernhard; Federal Institute for Geosciences and Natural Resources (BGR), Hannover, Germany
Kirsch, Reinhard; GeoImpulse, Kiel, Germany
Elbracht, Jörg; Geological Survey of Lower Saxony (LBEG), Hannover, Germany

Abstract

Information on chloride (Cl) distribution in aquifers is essential for planning and management of coastal zone groundwater resources as well as for simulation and validation of density-driven groundwater models. We developed a method to derive chloride concentrations from borehole information and helicopter-borne electromagnetic (HEM) data for the coastal aquifer in the Elbe-Weser region where observed chloride and electrical conductivity data reveal that the horizontal distribution of salinity is not uniform and does not correlate with the coastline. The integrated approach uses HEM resistivity data, borehole petrography information, grain size analysis of borehole samples as well as observed chloride and electrical conductivity to estimate Cl distribution. The approch is not straightforward due to the complex nature of the geology where clay and silt are present. Possible errors and uncertainties involved at different steps of the method are discussed.

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