Surface deformation due to underground exploitation affects the safety of overlying structures. Forecasting can predict risks to surface structures and facilitates actions designed to improve their resilience and reduce the potential impact of mining activities. However, forecasting accuracy is limited. Therefore, in practice, model parameters are determined within a certain margin to ensure that critical values of deformation indicators for surface objects are not exceeded. For economic reasons, it is important to minimize these margins while also ensuring that safety is maintained. One important factor influencing forecasting accuracy is the uncertainty in deformation model parameters used for calculations. Therefore, it is critical to adopt an appropriate methodology for determining and addressing the uncertainties in deformation model parameters used in forecasting. This study presents methods for estimating the Knothe's model parameters needed to forecast surface deformation caused by underground mining and defining the uncertainties in those forecasts. Depending on the parameter uncertainties, one of two methods for propagation is proposed: the Monte Carlo method or the law of propagation of uncertainty. Using this approach, it is possible to account for uncertainty and reduce forecast margins. A case study of hard coal mining in the Upper Silesian Coal Basin region of Poland is presented., Wojciech Gruszczyński, Zygmunt Niedojadło and Dawid Mrocheń., and Obsahuje bibliografii
Takto byla s trochou nadsázky nazvána 11. historickogeografická konference, kterou 28. ledna 2015 uspořádaly v prostorách PřF UK na pražském Albertově Výzkumné centrum historické geografie - Historical Geography Research Centre (grantový projekt excelence GA ČR P410/12/G113, jehož řešiteli jsou Historický ústav AV ČR a Katedra sociální geografie a regionálního rozvoje Přírodovědecké fakulty UK) a Komise pro historickou geografii. and Eva Semotanová, Robert Šimůnek.