Auken, Esben

Bauer-Gottwein, Peter

Foged, Nikolaj

Marker, Pernille Aabye

Vest Christiansen, Anders

Vilhelmsen, Troels Norvin

Wernberg, Thomas

Regional hydrological models are important tools in water resources management, but prediction uncertainties are often high due to non-uniqueness of the hydrostratigraphical model. This model is often based on borehole lithology only. However, a much better resolution can be obtained from large geophysical datasets covering the entire domain. Using boreholes to link between hydrostratigraphical classes and resistivity is efficient and emphasizes the need for an all-inclusive data interpretation procedure that can be integrated in groundwater model calibration.We present an automatic method for parameterization of a 3D model of the subsurface, integrating lithological information from boreholes with resistivity models. The objective is to create a direct input to regional groundwater models for sedimentary areas, where the sand/clay distribution governs the groundwater flow. The resistivity input is all-inclusive in the sense that we include data from a variety of instruments (DC and EM, ground-based and airborne), with a varying spatial density and varying ages and quality. The coupling between hydrological and geophysical parameters is managed using a translator function with spatially variable parameters, which is calibrated against observed lithological data. In other words, the translator function interprets the geophysical resistivities into a 3D clay fraction model and the 3D clay fraction model is then turned into a zonation for the hydrological model by a K-means clustering.We present the methodology by show-casing a study from Denmark were a regional groundwater model is constructed by including lithological information from 3100 boreholes over an 710 sqkm area. The geophysical models spans more than 30 years of data collection and includes approx. 225,000 DC models, and 35,000 EM models, airborne as well as groundbased. The final model was calibrated giving parameters that were comparable with existing models based on thorough and time-consuming manual model construction

Online Research Database In Technology

                       General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.  • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal   If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim.     Downloaded from orbit.dtu.dk on: Nov 08, 2017Constructing Regional Groundwater Models from Geophysical Data of Varying Type,Age, and QualityVest Christiansen, Anders; Auken, Esben; Marker, Pernille Aabye; Vilhelmsen, Troels Norvin; Foged,Nikolaj; Wernberg, Thomas; Bauer-Gottwein, PeterPublication date:2015Document VersionPeer reviewed versionLink back to DTU OrbitCitation (APA):Vest Christiansen, A., Auken, E., Marker, P. A., Vilhelmsen, T. N., Foged, N., Wernberg, T., & Bauer-Gottwein,P. (2015). Constructing Regional Groundwater Models from Geophysical Data of Varying Type, Age, andQuality. Abstract from 2015 AGU Fall Meeting, San Francisco, United States.Constructing Regional Groundwater Models from Geophysical Data of Varying Type, Age, and Quality  Anders Vest Christiansen1, Esben Auken2, Pernille Aabye Marker3, Troels N Vilhelmsen4, Nikolaj Foged4, Thomas Wernberg5 and Peter Bauer-Gottwein6  (1)Aarhus University, Department of Geoscience, Aarhus C, Denmark, (2)Aarhus University, Aarhus C, Denmark, (3)Technical University of Denmark, Department of Environmental Engineering, Lyngby, Denmark, (4)Aarhus University, Department of Geoscience, Aarhus, Denmark, (5)Alectia, Aarhus C, Denmark, (6)Technical Univ. of Denmark, Lyngby, Denmark  Regional hydrological models are important tools in water resources management, but prediction uncertainties are often high due to non-uniqueness of the hydrostratigraphical model. This model is often based on borehole lithology only. However, a much better resolution can be obtained from large geophysical datasets covering the entire domain. Using boreholes to link between hydrostratigraphical classes and resistivity is efficient and emphasizes the need for an all-inclusive data interpretation procedure that can be integrated in groundwater model calibration. We present an automatic method for parameterization of a 3D model of the subsurface, integrating lithological information from boreholes with resistivity models. The objective is to create a direct input to regional groundwater models for sedimentary areas, where the sand/clay distribution governs the groundwater flow. The resistivity input is all-inclusive in the sense that we include data from a variety of instruments (DC and EM, ground-based and airborne), with a varying spatial density and varying ages and quality. The coupling between hydrological and geophysical parameters is managed using a translator function with spatially variable parameters, which is calibrated against observed lithological data. In other words, the translator function interprets the geophysical resistivities into a 3D clay fraction model and the 3D clay fraction model is then turned into a zonation for the hydrological model by a K-means clustering. We present the methodology by show-casing a study from Denmark were a regional groundwater model is constructed by including lithological information from 3100 boreholes over an 710 sqkm area. The geophysical models spans more than 30 years of data collection and includes approx. 225,000 DC models, and 35,000 EM models, airborne as well as groundbased. The final model was calibrated giving parameters that were comparable with existing models based on thorough and time-consuming manual model construction.  

Constructing Regional Groundwater Models from Geophysical Data of Varying Type, Age, and Quality

http://orbit.dtu.dk/ws/files/118712767/Constructing_Regional_Groundwater_Models_from_Geophysical_Data_of_Varying_Type_2.pdf

Constructing Regional Groundwater Models from Geophysical Data of Varying Type, Age, and Quality

Abstract

Similar works

Full text

Available Versions

Online Research Database In Technology