Obtaining 2D Soil Geotechnical Profiles from Cokriging Interpolation of Sample Data and Electrical Resistivity Tomography (ERT)—Applications in Mass Movements Studies — Oak Academic Publishing
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Obtaining 2D Soil Geotechnical Profiles from Cokriging Interpolation of Sample Data and Electrical Resistivity Tomography (ERT)—Applications in Mass Movements Studies
Institute of Science and Technology, São Paulo State University (UNESP), São José dos Campos, Brazil
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Institute for Mathematical Innovation, University of Bath, Bath, UK
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Department of Mathematical Sciences, University of Bath, Bath, UK
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Institute for Mathematical Innovation, University of Bath, Bath, UK
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Cemaden-National Center for Monitoring and Early Warning of Natural Disasters, General Coordination of Research and Development, São José dos Campos, Brazil
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Institute of Science and Technology, São Paulo State University (UNESP), São José dos Campos, Brazil
,
Institute of Science and Technology, São Paulo State University (UNESP), São José dos Campos, Brazil
,
Cemaden-National Center for Monitoring and Early Warning of Natural Disasters, General Coordination of Research and Development, São José dos Campos, Brazil
,
Institute of Science and Technology, São Paulo State University (UNESP), São José dos Campos, Brazil
,
Institute of Science and Technology, São Paulo State University (UNESP), São José dos Campos, Brazil
,
Cemaden-National Center for Monitoring and Early Warning of Natural Disasters, General Coordination of Research and Development, São José dos Campos, Brazil
,
Institute of Science and Technology, São Paulo State University (UNESP), São José dos Campos, Brazil
,
Cemaden-National Center for Monitoring and Early Warning of Natural Disasters, General Coordination of Research and Development, São José dos Campos, Brazil
,
Institute of Science and Technology, São Paulo State University (UNESP), São José dos Campos, Brazil
1 Institute of Science and Technology, São Paulo State University (UNESP), São José dos Campos, Brazil
2 Institute for Mathematical Innovation, University of Bath, Bath, UK
3 Department of Mathematical Sciences, University of Bath, Bath, UK
4 Institute for Mathematical Innovation, University of Bath, Bath, UK
5 Cemaden-National Center for Monitoring and Early Warning of Natural Disasters, General Coordination of Research and Development, São José dos Campos, Brazil
6 Institute of Science and Technology, São Paulo State University (UNESP), São José dos Campos, Brazil
7 Institute of Science and Technology, São Paulo State University (UNESP), São José dos Campos, Brazil
8 Cemaden-National Center for Monitoring and Early Warning of Natural Disasters, General Coordination of Research and Development, São José dos Campos, Brazil
9 Institute of Science and Technology, São Paulo State University (UNESP), São José dos Campos, Brazil
10 Institute of Science and Technology, São Paulo State University (UNESP), São José dos Campos, Brazil
11 Cemaden-National Center for Monitoring and Early Warning of Natural Disasters, General Coordination of Research and Development, São José dos Campos, Brazil
12 Institute of Science and Technology, São Paulo State University (UNESP), São José dos Campos, Brazil
13 Cemaden-National Center for Monitoring and Early Warning of Natural Disasters, General Coordination of Research and Development, São José dos Campos, Brazil
14 Institute of Science and Technology, São Paulo State University (UNESP), São José dos Campos, Brazil
Brazil annually faces significant challenges with mass movements, particularly in areas with poorly constructed housing, inadequate engineering, and lacking sanitation infrastructure. Campos do Jordão, in São Paulo state, is a city currently grappling with these issues. This paper details a study conducted within a pilot area in Campos do Jordão, where geophysical surveys and geotechnical borehole data were integrated. The geophysical surveys provided 2D profiles, and samples were collected to analyse soil moisture and plasticity. These datasets were combined using a Cokriging-based model to produce an accurate representation of the subsurface conditions. The enhanced modelling of subsurface variability facilitates a deeper understanding of soil behavior, which can be used to improve landslide risk assessments. This approach is innovative, particularly within the international context where similar studies often do not address the complexities associated with urban planning deficits such as those observed in some areas of Brazil. These conditions, including the lack of proper sanitation and irregular housing, significantly influence the geological stability of the region, adding layers of complexity to subsurface assessments. Adapting geotechnical evaluation methods to local challenges offers the potential to increase the efficacy and relevance of geological risk management in regions with similar socio-economic and urban characteristics.
KeywordsMass MovementsGeophysicsERTGeotechnical SurveysCampos do JordãoCokriging
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