GS22 INTEGRATE Informative Mapping of Construction Aggregate Resources Through Statistical Data Analysis
Construction aggregates is a broad category of coarse grained materials like sand, gravel and stone used in construction and infrastructure projects. Aggregates are the most mined resources globally, and annually about 25 million cubic meters are extracted and processed in Denmark. A significant part of the aggregate costs is related to transportation. In Denmark, the direct costs amount to approx. 3 billion DKK annually. Calculations suggest that an additional 650M DKK are needed to cover indirect costs related to abrasion of roads, accidents, climate change, air pollution, congestion, etc. Therefore, this project aims at building a new and beyond state-of-the-art framework, based on information theory, allowing more informative mapping of aggregate resources using electromagnetic (EM) measurements (Figure 1). On top of the mapping framework, we will develop a web-based frontend system, allowing decision makers to extract relevant information to perform aggregate resource extraction planning. With this framework it will be possible to locate new aggregate resources, and in turn save 365M DKK in reduced transportation costs. The project will revolutionize mapping of the near-surface, using EM data, and the outcome will have a significant economic, societal and environmental impact. In addition, it will strengthen Denmark’s position as an international frontrunner on utilizing EM data in subsurface mapping, and also provide new export opportunities for Danish technology. |
Key figures
Period:
2023 - 2026
Funding year:
2022
Own financial contribution:
6.00 mio. DKK
Grant:
14.51 mio. DKK
Funding rate:
71 %
Project budget:
20.51 mio. DKK
Category
Programme
Innovationsfonden
Technology
Energy efficiency
Keywords
Bygninger og byggeri
Data, digitalisering og automatisering
Softwareløsninger
Case no.
2081-00009A
Participants
I-GIS A/S (Main Responsible)
Partners and economy
Partner | Subsidy | Auto financing |
---|---|---|
I-GIS A/S | 3,43 mio. DKK | 1,33 mio. DKK |
WSP Danmark A/S | 0,66 mio. DKK | 0,79 mio. DKK |
Aarhus Universitet | 4,76 mio. DKK | 1,19 mio. DKK |
Region Syddanmark | 0,21 mio. DKK | 0,33 mio. DKK |
Region Midtjylland | 1,39 mio. DKK | 1,19 mio. DKK |
De Nationale Geologiske Undersøgelser for Danmark og Grønland | 3,45 mio. DKK | 0,86 mio. DKK |
University of Cagliari | 0,42 mio. DKK | 0,22 mio. DKK |
Geological Survey of Sweden | 0,18 mio. DKK | 0,10 mio. DKK |