Digital Database
Integrated map of shallow coal mining in Partner’s countries
Disclaimer:
This map is for illustrative purposes only and was developed for informational intents only, as a result of RFCS project No. 101157400 a. SIRIMA. The data presented regarding shallow coal mining areas and the location of sinkholes in Europe does not constitute an official document or geological study within the meaning of applicable law. The information contained on the map may be incomplete or simplified and should not be used for design, investment, or decision-making purposes.
The map or any elements thereof may not be used for commercial purposes, nor may they be copied, distributed, or modified without the prior written consent of the author’s team or the copyright holder.
Sinkholes Database
The sinkhole database provides a basis for analyzing the conditions of the occurrence of the sinkhole to better manage the hazard in the future by the coal region in transition.
The database is structured using an MS Excel format. The structure was finalized and validated by project partners in December 2024. To ensure a comprehensive analysis for future work packages (WP4 and WP5), the database includes a vast array of parameters organized into five main thematic groups:
- Localization (12 data points): This group focuses on the precise identification of the event. It includes unique IDs, names, and various coordinate systems (local X/Y and WGS84). It also records the name of the mine, the country, and the specific municipality where the sinkhole occurred.
- Sinkhole Characteristics (10 data points): This section quantifies the physical disorder. Key fields include the number of sinkholes in a given area, the total impacted surface area (m²), dimensions (length, diameter, width), and the depth of the crater. It also tracks whether the data is an in-situ measurement or an estimation, the date of appearance, and the presumed origin of the collapse (e.g., failure of the roof, pillar, or shaft head).
- Characteristics of Mining Work (12 data points): This theme links surface disorders to underground activities. It records the type of mining work (shaft, cavity, or drift), the start and end dates of exploitation, the dip of the coal seam, and the depth of the workings relative to the surface. It also includes technical details like ground support types and the accessibility of the cavity for inspection.
- Overburden Characteristics (5 data points): These fields describe the geological layers between the mine and the surface. Parameters include the geology of the overburden, the fracture condition of the roof, rock resistance, and water conditions (e.g., dry, seepage, or flooded).
- Surface Consequences: Finally, the database records the presence of buildings or infrastructure in the affected area and any observed damage to human property.
Database fields grouped by theme
To facilitate data collection, the MS Excel file includes explanatory diagram that visually represent different mining scenarios, such as sub-horizontal drifts, inclined coal seams, and shafts. While the database is deliberately comprehensive to maximize research potential, the sources acknowledge that many fields remain “unknown” due to the historical nature of the data and the loss of archival information over time. Ultimately, this structured approach allows for a multi-scale visualization via the project’s Integrated Map.
InSAR Monitoring
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Gravity Monitoring
Two test sites were selected for performing the monitoring of endangered areas in Poland:
TS1: Kazimierz-Juliusz mine – supplementing the monitoring systems of the POSTMINQUAKE project. The information from field measurements are a continuation with some enhancements of the previous research coexisting with mine flooding process.
TS2: Siersza mine – completely new monitoring elements in the area where the greatest intensity of the formation of new sinkholes is observed since 2022-23.
On both test sites monitoring gear such as piezometers, seismometers and ground monitoring points (geodetic benchmarks) for annual GNSS and gravimetric campaigns was deployed. The collected data will be used for observation of changes in the gravity field in order to obtain additional data about flooding phenomena which in turn will help to assess or predict risk of uncontrolled ground movements.
In March, 2025 53 monitoring points in TS1 on Kazimierz-Juliusz mine were renewed and ground stabilisation of the 54 completely new monitoring points on the TS2 was performed.
Stabilization of new points was realized using 60 cm long ground markings with a brass benchmark. In 2025 GNSS measurements were conducted 3 month after the stabilisation. In 2026 the geodetic survey is planned in the second quarter of the year.
Task T2.4 was started with the beginning of the Campaign I with the GNSS measurements in March and along with gravimetric survey lasted till September 2025. As a product of Campaign I the initial data in the form of Hypsometric and Bouguer anomaly distribution maps were obtained.
The next steps within this task will be Campaign II and III in 2026 and 2027. Those upcoming Campaigns will enable the construction of differential maps showing the abnormal variations of Bouguer anomaly distribution within the Test Sites 1 & 2.
Water Level Monitoring
The hydrogeological system on TS2 – Siersza comprises three automated piezometers, named TRZEBINIA1, 2 and 3. The piezometers were installed after a reconnaissance drilling campaign in March 2025 and their purpouse is groundwater level and physicochemical monitoring in the shallow aquifer. These stations are equipped with integrated multiparameter telemetry sensors measuring level, temperature and conductivity, with a sampling capacity ranging from one second to 24 hours. The data is transmitted remotely and powered by photovoltaic panels, ensuring operational autonomy even in low sunlight conditions thanks to backup batteries. Initial analyses indicate that water level variations in the TRZEBINIA1 and 2 piezometers reflect changes in the Quaternary aquifer, which has a strong hydraulic connection with the underlying Carboniferous formations.
Monthly variations of the water level:
AI Modelling
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