MIKULENKA, Václav. Nauka o Důlních Škodách; I. Díl. B.m.: VŠB - Technická univerzita Ostrava, 2008. ISBN 978-80-248-1835-1.
MIKULENKA, Václav. Nauka o Důlních Škodách; II. Díl. B.m.: VŠB - Technická univerzita Ostrava, 2008. ISBN 978-80-248-1836-8.
GAO, Ning and Qianhong PU. Monitoring and Prediction of Surface Subsidence in Mining Areas by Integrating SBAS-InSAR and ELM. Journal of Engineering Science and Technology Review [online]. 2024, 17(1), 45–53. ISSN 1791-2377. Available at: doi:10.25103/jestr.171.07
HE, Kuan, Youfeng ZOU, Zhigang HAN and Jilei HUANG. Time-Series InSAR Technology for Monitoring and Analyzing Surface Deformations in Mining Areas Affected by Fault Disturbances. Remote Sensing [online]. 2024, 16(24), 4811. ISSN 2072-4292. Available at: doi:10.3390/rs16244811
ŻEMŁA-SIESICKA, Anna, Bartłomiej SZYPUŁA, Urszula MYGA-PIĄTEK and Agnieszka PIECHOTA. How to assess landscape changes caused by land subsidence due to deep coal mining? Methodology tested in the mining area of Jastrzębie coal company (Southern Poland). Environmental Impact Assessment Review [online]. 2025, 115, 108025. ISSN 0195-9255. Available at: doi:10.1016/j.eiar.2025.108025
KRATZSCH, Helmut. Mining Subsidence Engineering [online]. Berlin, Heidelberg: Springer Berlin Heidelberg, 1983 [2026-08-25]. ISBN 978-3-642-81925-4 978-3-642-81923-0. Available at: doi:10.1007/978-3-642-81923-0
PENG, Syd S. Surface Subsidence Engineering Theory and Practice. B.m.: Taylor & Francis Group, 2020. ISBN 9780367509347.
Mining Factors on Mine Excavations and Surface
| Language of instruction | čeština |
|---|---|
| Code | 544-0063 |
| Abbreviation | VD |
| Course title | Mining Factors on Mine Excavations and Surface |
| Coordinating department | Department of Geodesy and Mine Surveying |
| Course coordinator | doc. Ing. Juraj Gašinec, PhD. |
Summary
This course expands students’ knowledge of the principles governing the movement of rock masses and its manifestations on the Earth’s surface. It integrates classical computational theories with modern trends in remote sensing and artificial intelligence for accurate prediction and monitoring.
Learning Outcomes:
- Expert Knowledge: Students will define key concepts such as the critical angle of influence, effective area, and the temporal evolution of subsidence. They will explain the principles of interaction between the mined area and above-ground infrastructure, as well as the latest methodologies for subsidence monitoring and movement prediction.
- Technical Skills: The student calculates predictive parameters of a subsidence basin (subsidence, displacement, tilt, curvature). The student designs and proposes support pillars for various types of underground and surface structures. The student processes and interprets data from modern monitoring systems.
- General Competencies: Students independently and responsibly assess the degree of risk to mining and surface structures resulting from mining activities and provide expert justification for proposed measures to mitigate potential damage. They critically evaluate the uncertainties and limitations of the forecasting and monitoring methods used, take into account technical, safety, economic, and legislative contexts, and assume responsibility for the professional conclusions of their assessment. They are able to coordinate specific professional activities among mining operations, geodetic monitoring, and design preparation, and clearly communicate the results to experts and other stakeholders.
Learning Outcomes:
- Expert Knowledge: Students will define key concepts such as the critical angle of influence, effective area, and the temporal evolution of subsidence. They will explain the principles of interaction between the mined area and above-ground infrastructure, as well as the latest methodologies for subsidence monitoring and movement prediction.
- Technical Skills: The student calculates predictive parameters of a subsidence basin (subsidence, displacement, tilt, curvature). The student designs and proposes support pillars for various types of underground and surface structures. The student processes and interprets data from modern monitoring systems.
- General Competencies: Students independently and responsibly assess the degree of risk to mining and surface structures resulting from mining activities and provide expert justification for proposed measures to mitigate potential damage. They critically evaluate the uncertainties and limitations of the forecasting and monitoring methods used, take into account technical, safety, economic, and legislative contexts, and assume responsibility for the professional conclusions of their assessment. They are able to coordinate specific professional activities among mining operations, geodetic monitoring, and design preparation, and clearly communicate the results to experts and other stakeholders.
Literature
Advised literature
ČSN 73 0039. Navrhování objektů na poddolovaném území. Praha: Úřad pro technickou normalizaci, metrologii a státní zkušebnictví, 2015. 64 s. Oprava 1, 2026.
KRATZSCH, Helmut. Mining Subsidence Engineering [online]. Berlin, Heidelberg: Springer Berlin Heidelberg, 1983 [2026-08-25]. ISBN 978-3-642-81925-4 978-3-642-81923-0. Available at: doi:10.1007/978-3-642-81923-0
PENG, Syd S. Surface Subsidence Engineering Theory and Practice. B.m.: Taylor & Francis Group, 2020. ISBN 9780367509347.
YANG, Bin, Weibing DU, Youfeng ZOU, Hebing ZHANG, Huabin CHAI, Wei WANG, Xiangyang SONG and Wenzhi ZHANG. Reconstruction of Coal Mining Subsidence Field by Fusion of SAR and UAV LiDAR Deformation Data. Remote Sensing [online]. 2024, 16(18), 3383. ISSN 2072-4292. Available at: doi:10.3390/rs16183383
PRZYŁUCKA, Maria, Zbigniew KOWALSKI and Zbigniew PERSKI. Twenty years of coal mining-induced subsidence in the Upper Silesia in Poland identified using InSAR. International Journal of Coal Science & Technology [online]. 2022, 9(1). ISSN 2198-7823. Available at: doi:10.1007/s40789-022-00541-w
ARIF, Arifuggaman, Chunlei ZHANG, Mingjie FENG, Mahabub Hasan SAJIB, Md HABIBULLAH, Sobuj HASAN, Md Sohel RANA, Khezr MOHAMMADAMINI, Mohammed ALIP and Ye ZHANG. Mining-Induced Subsidence Predicting and Monitoring: A Comprehensive Review of Methods and Technologies. Geotechnical and Geological Engineering [online]. 2025, 43(7). ISSN 1573-1529. Available at: doi:10.1007/s10706-025-03271-3
CAI, Yinfei, Yutian JIN, Zuoyang WANG, Tao CHEN, Yaru WANG, Weiyu KONG, Wu XIAO, Xiaojing LI, Xugang LIAN and Haifeng HU. A review of monitoring, calculation, and simulation methods for ground subsidence induced by coal mining. International Journal of Coal Science & Technology [online]. 2023, 10(1). ISSN 2198-7823. Available at: doi:10.1007/s40789-023-00595-4
KRATZSCH, Helmut. Mining Subsidence Engineering [online]. Berlin, Heidelberg: Springer Berlin Heidelberg, 1983 [2026-08-25]. ISBN 978-3-642-81925-4 978-3-642-81923-0. Available at: doi:10.1007/978-3-642-81923-0
PENG, Syd S. Surface Subsidence Engineering Theory and Practice. B.m.: Taylor & Francis Group, 2020. ISBN 9780367509347.
YANG, Bin, Weibing DU, Youfeng ZOU, Hebing ZHANG, Huabin CHAI, Wei WANG, Xiangyang SONG and Wenzhi ZHANG. Reconstruction of Coal Mining Subsidence Field by Fusion of SAR and UAV LiDAR Deformation Data. Remote Sensing [online]. 2024, 16(18), 3383. ISSN 2072-4292. Available at: doi:10.3390/rs16183383
PRZYŁUCKA, Maria, Zbigniew KOWALSKI and Zbigniew PERSKI. Twenty years of coal mining-induced subsidence in the Upper Silesia in Poland identified using InSAR. International Journal of Coal Science & Technology [online]. 2022, 9(1). ISSN 2198-7823. Available at: doi:10.1007/s40789-022-00541-w
ARIF, Arifuggaman, Chunlei ZHANG, Mingjie FENG, Mahabub Hasan SAJIB, Md HABIBULLAH, Sobuj HASAN, Md Sohel RANA, Khezr MOHAMMADAMINI, Mohammed ALIP and Ye ZHANG. Mining-Induced Subsidence Predicting and Monitoring: A Comprehensive Review of Methods and Technologies. Geotechnical and Geological Engineering [online]. 2025, 43(7). ISSN 1573-1529. Available at: doi:10.1007/s10706-025-03271-3
CAI, Yinfei, Yutian JIN, Zuoyang WANG, Tao CHEN, Yaru WANG, Weiyu KONG, Wu XIAO, Xiaojing LI, Xugang LIAN and Haifeng HU. A review of monitoring, calculation, and simulation methods for ground subsidence induced by coal mining. International Journal of Coal Science & Technology [online]. 2023, 10(1). ISSN 2198-7823. Available at: doi:10.1007/s40789-023-00595-4