By studying the depositional environment of clay, it is possible to determine where fine-grained sulfate soils are most likely to occur – a question that holds substantial weight for many construction projects. This predictive model, developed by GTK, uses ground investigations and topographic analyses to identify areas that pose challenges for construction work.
First, the geological depositional environment of fine-grained soils is analysed, following classification of the areas into different categories. The depositional environment analysis uses a depth model based on ground investigations, which, combined with an elevation model, serves as the basis for the topographical classification. Next, a predictive model for potentially acid sulfate soils is drawn up based on the classification and data on the thickness of the local clay deposits.
The predictive model covers both the extent and depth of the areas included in the soil surveys. In construction planning, it is important to also investigate possible sulphide layers hiding beneath the surface, as these cause a risk of corrosion to steel structures, for example.
The research data produced by the service can be incorporated into the customer’s data management systems.
The service aims to prevent the excessive soil masses that could pose an environmental risk.
The service is implemented by means of spatial data analysis based on existing soil surveys and drilling data. The service does not involve field studies, ensuring maximum cost-efficiency for the customer.
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Statistical approach to identify variables predicting sulphide clay occurrence in southern Finland
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