2.5D open source modeling of rock aggregate resources in the Helsinki metropolitan area

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Abstract

The objective of this study is to develop a method of appraising rock aggregate resources, using open data and open source tools. The availability of aggregates in Finland is mostly determined by competing land use and restrictions on extraction. Therefore, it is important to determine the extent of available resources, especially near areas of high demand.

The study area consists of the 14 municipalities in the Helsinki metropolitan area, a total of 3841 km(2). The data used are open access, provided by the Geological Survey of Finland and the National Land Survey. These are combined in a GIS to identify locations where extraction of aggregates is possible. Geology, limitations and the highest and lowest point of possible extraction are determined. These are used to estimate the available resources and locate the economically feasible sites. Data used include a digital elevation model and layers on geology and land use.

The results show that competing land use has sterilized most aggregate locations in the area. Remaining locations are concentrated on the edges. However, some potential sites remain. Field evaluations and comparison to previous studies show that the method has potential in evaluating remaining resources and directing further study for prospective production areas.

The model is fast in coarsely determining aggregate volume. It is highly suitable for focusing expert fieldwork. Land use in the area continues to sterilize new locations. To avoid economic and ecological damage, a plan should be implemented for securing this resource. This may include the reserving of locations, reducing use, checking legislation on production and recycling used aggregates.
Translated title of the contributionKalliokiviainesten 2.5D-mallinnus pääkaupunkiseudulla avoimen lähdekoodin työkaluilla
Original languageEnglish
JournalBulletin of the Geological Society of Finland
Volume90
Issue number1-2
Pages (from-to)55-67
Number of pages13
ISSN0367-5211
DOIs
Publication statusPublished - 24 Mar 2018
MoE publication typeA1 Journal article-refereed

Fields of Science

  • 1171 Geosciences

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