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1.
Environ Sci Process Impacts ; 17(7): 1271-81, 2015 Jul.
Article in English | MEDLINE | ID: mdl-26040331

ABSTRACT

In environmental assessments, the characterization of urban soils relies heavily on invasive investigation, which is often insufficient to capture their full spatial heterogeneity. Non-invasive geophysical techniques enable rapid collection of high-resolution data and provide a cost-effective alternative to investigate soil in a spatially comprehensive way. This paper presents the results of combining multi-receiver electromagnetic induction and stepped-frequency ground penetrating radar to characterize a former garage site contaminated with petroleum hydrocarbons. The sensor combination showed the ability to identify and accurately locate building remains and a high-density soil layer, thus demonstrating the high potential to investigate anthropogenic disturbances of physical nature. In addition, a correspondence was found between an area of lower electrical conductivity and elevated concentrations of petroleum hydrocarbons, suggesting the potential to detect specific chemical disturbances. We conclude that the sensor combination provides valuable information for preliminary assessment of urban soils.


Subject(s)
Environmental Monitoring/methods , Radar , Soil Pollutants/analysis , Cities , Electromagnetic Phenomena , Environmental Monitoring/instrumentation , Hydrocarbons/analysis , Petroleum/analysis , Petroleum Pollution/analysis , Soil/chemistry
2.
Sci Rep ; 3: 1517, 2013.
Article in English | MEDLINE | ID: mdl-23519060

ABSTRACT

Studies of past human-landscape interactions rely upon the integration of archaeological, biological and geological information within their geographical context. However, detecting the often ephemeral traces of human activities at a landscape scale remains difficult with conventional archaeological field survey. Geophysical methods offer a solution by bridging the gap between point finds and the surrounding landscape, but these surveys often solely target archaeological features. Here we show how simultaneous mapping of multiple physical soil properties with a high resolution multi-receiver electromagnetic induction (EMI) survey permits a reconstruction of the three-dimensional layout and pedological setting of a medieval reclaimed landscape in Flanders (Belgium). Combined with limited and directed excavations, the results offer a unique insight into the way such marginal landscapes were reclaimed and occupied during the Middle Ages. This approach provides a robust foundation for unravelling complex historical landscapes and will enhance our understanding of past human-landscape interactions.


Subject(s)
Archaeology , Electromagnetic Phenomena , Belgium , Electromagnetic Radiation , Geology , Humans , Soil , Wetlands
3.
Ambio ; 40(4): 417-24, 2011 Jun.
Article in English | MEDLINE | ID: mdl-21809784

ABSTRACT

Previous research showed a regional Cu enrichment of 6 mg kg(-1) in the top soil of the Ypres war zone (Belgium), caused by corrosion of WWI shell fragments. Further research was required since in addition to Cu, also As, Pb, and Zn were used during the manufacturing of ammunition. Therefore, an additional data collection was conducted in which the initial Cu data set was tripled to 731 data points and extended to eight heavy metals (As, Cd, Cr, Cu, Hg, Ni, Pb, and Zn) which permitted (1) to evaluate the environmental impact of the heavy metals at a regional scale and (2) to assess their regional spatial occurrence by performing an optimized geostatistical modeling. The results showed no pollution at a regional scale, but sometimes locally concentrations exceeded the soil sanitation threshold, especially for Cu, Pb, and Zn. The spatial patterns of Ni and Cr were related to variations in soil texture whereas the occurrences of Cu and Pb were clearly linked to WWI activities. This difference in spatial behavior was confirmed by an analysis of coregionalization.


Subject(s)
Metals, Heavy/analysis , Soil Pollutants/analysis , Soil/analysis , World War I , Agriculture , Belgium , Environmental Monitoring , Geologic Sediments , Models, Statistical , Multivariate Analysis
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