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Identification, investigation and classification of surface depressions and chalk dissolution features using integrated LiDAR and geophysical methods

Zoe Elizabeth Jeffery, Stephen Penn, David Peter Giles and Linley Hastewell
Identification, investigation and classification of surface depressions and chalk dissolution features using integrated LiDAR and geophysical methods
Quarterly Journal of Engineering Geology and Hydrogeology (February 2020) 53 (4): 620-644

Abstract

The chalk bedrock of the Hampshire Basin, southern England is an important aquifer and is highly susceptible to dissolution, making the development and presence of karstic features a widespread occurrence. These features are hazardous because they provide possible pathways to the underlying aquifer and therefore present potential site-specific contamination risks. There is also evidence of extensive extraction, through both mining and surface quarrying, of chalk, flint and clay over many centuries. Geophysical techniques consisting of electromagnetic (EM31) and ground-penetrating radar surveys were used to identify and characterize target features identified from desk study data. The ground-penetrating radar and EM31 interpretations allowed the classification of non-anthropogenic target features, such as diffuse buried sinkholes with disturbed and subsiding clay-rich infill and varying symmetrical and asymmetrical morphologies. We describe here the investigations of such features identified at Holme Farm, Stansted House, Hampshire. The combination of EM31 data and ground-penetrating radar profiles facilitated the identification of a palaeovalley, cavities and irregular rockhead. This investigation identified locations of aquifer contamination risk as some sinkholes have been sites for the illegal dumping of waste or the infiltration of fertilizers, leaking sewage pipes or animal waste. This potential source of contamination utilizes the sinkhole as a pathway into the highly transmissive White Chalk Subgroup of Hampshire and has caused contamination of the aquifer. We conclude that our integrated approach of geophysical techniques linked to aerial photographs and LiDAR image interpretation was highly effective in the location and characterization of dissolution structures, infilled former quarries and mining features at this site.


ISSN: 1470-9236
EISSN: 2041-4803
Serial Title: Quarterly Journal of Engineering Geology and Hydrogeology
Serial Volume: 53
Serial Issue: 4
Title: Identification, investigation and classification of surface depressions and chalk dissolution features using integrated LiDAR and geophysical methods
Affiliation: University of Portsmouth, School of the Environment, Geography and Geosciences, Portsmouth, United Kingdom
Pages: 620-644
Published: 20200226
Text Language: English
Publisher: Geological Society of London, London, United Kingdom
References: 50
Accession Number: 2020-049142
Categories: Environmental geologyGeomorphologyApplied geophysics
Document Type: Serial
Bibliographic Level: Analytic
Illustration Description: illus. incl. 6 tables, geol. sketch maps
N51°04'60" - N51°04'60", W01°10'00" - W01°10'00"
Secondary Affiliation: Card Geotechnics, GBR, United Kingdom
Country of Publication: United Kingdom
Secondary Affiliation: GeoRef, Copyright 2022, American Geosciences Institute. Reference includes data from GeoScienceWorld, Alexandria, VA, United States. Reference includes data from The Geological Society, London, London, United Kingdom
Update Code: 202030
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