Hydrogeological mapping as a basis for establishing site-specific groundwater protection zones in Denmark

Thomsen, Rikke; Søndergaard, Verner H.; Sørensen, Karsten Engsig

doi:10.1007/s10040-004-0345-1

Cited by 109 publications

(66 citation statements)

References 4 publications

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“…Ground-based and airborne electromagnetic methods have shown great potential for mapping geological structures (Jør-gensen et al, 2003;Thomsen et al, 2004;Abraham et al, 2012;Oldenborger et al, 2013;He et al, 2014;Munday et al, 2015). For large-scale mapping, the airborne electromagnetic method (AEM) is efficient and cost-effective, supplementing traditional data with dense estimates of electrical resistivity which, in some environments, inform about the lithology and thereby about the structure (Robinson et al, 2008;Binley et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Voxel inversion of airborne electromagnetic data for improved groundwater model construction and prediction accuracy

Christensen

Ferré

Fiandaca

et al. 2017

Hydrol. Earth Syst. Sci.

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Abstract. We present a workflow for efficient construction and calibration of large-scale groundwater models that includes the integration of airborne electromagnetic (AEM) data and hydrological data. In the first step, the AEM data are inverted to form a 3-D geophysical model. In the second step, the 3-D geophysical model is translated, using a spatially dependent petrophysical relationship, to form a 3-D hydraulic conductivity distribution. The geophysical models and the hydrological data are used to estimate spatially distributed petrophysical shape factors. The shape factors primarily work as translators between resistivity and hydraulic conductivity, but they can also compensate for structural defects in the geophysical model.The method is demonstrated for a synthetic case study with sharp transitions among various types of deposits. Besides demonstrating the methodology, we demonstrate the importance of using geophysical regularization constraints that conform well to the depositional environment. This is done by inverting the AEM data using either smoothness (smooth) constraints or minimum gradient support (sharp) constraints, where the use of sharp constraints conforms best to the environment. The dependency on AEM data quality is also tested by inverting the geophysical model using data corrupted with four different levels of background noise. Subsequently, the geophysical models are used to construct competing groundwater models for which the shape factors are calibrated. The performance of each groundwater model is tested with respect to four types of prediction that are beyond the calibration base: a pumping well's recharge area and groundwater age, respectively, are predicted by applying the same stress as for the hydrologic model calibration; and head and stream discharge are predicted for a different stress situation.As expected, in this case the predictive capability of a groundwater model is better when it is based on a sharp geophysical model instead of a smoothness constraint. This is true for predictions of recharge area, head change, and stream discharge, while we find no improvement for prediction of groundwater age. Furthermore, we show that the model prediction accuracy improves with AEM data quality for predictions of recharge area, head change, and stream discharge, while there appears to be no accuracy improvement for the prediction of groundwater age.

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Section: Introductionmentioning

confidence: 99%

Voxel inversion of airborne electromagnetic data for improved groundwater model construction and prediction accuracy

Christensen

Ferré

Fiandaca

et al. 2017

Hydrol. Earth Syst. Sci.

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show abstract

“…Worldwide, significant resources are spent on the collection of regional geophysical data sets. Examples include airborne electromagnetic (AEM) surveys in Denmark, covering nearly 60 % of the country for mapping the spatial extent and assessing the vulnerability of aquifers (Thomsen et al, 2004), and AEM surveys to map saltwater intrusion in the USA, Australia, Germany and the Netherlands (Langevin et al, 2003;Fitzpatrick et al, 2009;Faneca Sànchez et al, 2012;Burschil et al, 2012). In addition, smaller-scale surveys have been conducted using a variety of geophysical techniques such as ERT (electrical resistivity tomography, Kemna et al, 2002), induced polarization (Slater, 2007) and magnetic resonance sounding (Legchenko and Valla, 2002).…”

Section: Introductionmentioning

confidence: 99%

Sequential and joint hydrogeophysical inversion using a field-scale groundwater model with ERT and TDEM data

Herckenrath

Fiandaca

Auken

et al. 2013

Hydrol. Earth Syst. Sci.

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Abstract. Increasingly, ground-based and airborne geophysical data sets are used to inform groundwater models. Recent research focuses on establishing coupling relationships between geophysical and groundwater parameters. To fully exploit such information, this paper presents and compares different hydrogeophysical inversion approaches to inform a field-scale groundwater model with time domain electromagnetic (TDEM) and electrical resistivity tomography (ERT) data. In a sequential hydrogeophysical inversion (SHI) a groundwater model is calibrated with geophysical data by coupling groundwater model parameters with the inverted geophysical models. We subsequently compare the SHI with a joint hydrogeophysical inversion (JHI). In the JHI, a geophysical model is simultaneously inverted with a groundwater model by coupling the groundwater and geophysical parameters to explicitly account for an established petrophysical relationship and its accuracy. Simulations for a synthetic groundwater model and TDEM data showed improved estimates for groundwater model parameters that were coupled to relatively well-resolved geophysical parameters when employing a high-quality petrophysical relationship. Compared to a SHI these improvements were insignificant and geophysical parameter estimates became slightly worse. When employing a low-quality petrophysical relationship, groundwater model parameters improved less for both the SHI and JHI, where the SHI performed relatively better. When comparing a SHI and JHI for a real-world groundwater model and ERT data, differences in parameter estimates were small. For both cases investigated in this paper, the SHI seems favorable, taking into account parameter error, data fit and the complexity of implementing a JHI in combination with its larger computational burden.

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“…Survey of India Toposheet No. 53C (4,8,12) and 53D (1,5,9,13,6,10,14) on 1:50,000 scale (Surveyed during 1967-68) was used to delineate the study area. Different canals, drains, railway lines and roads were digitized to prepare the different thematic maps.…”

Section: Iimethodologymentioning

confidence: 99%

“…A highly advanced approach was presented for groundwater management and protection in Denmark. Their approach included spatially dense geophysical/hydrogeological mapping, dense perforation grids as well as numerical modelling, GIS and advanced database technology [10]. Multiple well point pumping/siphon system, cyclic use of canal water (CW) and poor quality groundwater, biodrainage and conventional drainage system are appropriate strategies for the management of waterlogged areas [11].…”

Section: Iintroductionmentioning

confidence: 99%

An Approach for Mapping and Management Strategies of Waterlogged Areas using Geo-spatial Technique

Paudyal¹,

Jhorar²,

Kumar³

2016

Int. Jour. Intel. Elec. Sys.

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Waterlogging is one of the major problem of land degradation processes. Reliable and accurate mapping of areas affected by these processes with their location and extent can be extremely useful in chalking out suitable water management strategies and also to undertake remedial measures to prevent their advancement. The study was carried out for Rohtak district of Haryana, India. For this study IRS -1D, LISS-III satellite data acquired on March 6, 2010 was used to identify surface water logged area as well as to update different topographical features digitized with the help of SOI topo sheets. Water table depth and groundwater quality maps were also prepared using data collected from different sources. GIS environment was used to prepare and overlay different thematic maps and to extract the desired information. Based on satellite imagery, about one per cent of the study area was found to be affected by surface waterlogging during the pre-monsoon period of 2010. Management strategies were suggested depending on the nature of the problem i.e. surface or sub-surface waterlogging as well as depth and quality of groundwater.

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Hydrogeological mapping as a basis for establishing site-specific groundwater protection zones in Denmark

Cited by 109 publications

References 4 publications

Voxel inversion of airborne electromagnetic data for improved groundwater model construction and prediction accuracy

Voxel inversion of airborne electromagnetic data for improved groundwater model construction and prediction accuracy

Sequential and joint hydrogeophysical inversion using a field-scale groundwater model with ERT and TDEM data

An Approach for Mapping and Management Strategies of Waterlogged Areas using Geo-spatial Technique

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