The purpose of the work described in the article was to find the optimal location of the pumping station for the mining area Krzyżowice III Hard Coal Mine “Pniówek”. Mining exploitation causes lowering of the area and changes in water relations. Hence, it is necessary to perform a gravitational, and if it is impossible, forced outflow of water. Localization of the pumping station should assure removal of excess water and prevent flooding. Not only was the present relief taken into account, but also the entire period of the mine’s existence. On the basis of the results of airborne laser scanning a digital terrain model (DTM) was generated. Then a catchment division was made for the entire analyzed area. The article presents the workflow of performing the simulation as the area will be changed due to forecasted mining operations. A practical way to solve the problem of simplifying large amounts of data was also shown. The obtained source materials were developed with the use of the Geolisp software. The system operates in a CAD graphic environment and allows for automation of the most frequently performed works in the field of mining map preparation. The Geolisp cooperates with EDN-OPN program. Thanks to this fact it is possible to combine the obtained results of calculations of predicted deformations of the mining area and the rock mass with the digital map.
Białek J. 2003. Algorytmy i programy komputerowe do prognozowania deformacji terenu górniczego [Algorithms and computer programs for forecasting mining area deformations]. Gliwice. Wydaw. PŚl. ISBN 8373350640 pp. 199.
Błaszczak-Bąk W. 2016. New Optimum Dataset method in LiDAR processing. Acta Geodynamica et Geomaterialia. Vol. 13. No. 4(184) p. 379–386. DOI 10.13168/AGG.2016.0020.
Błaszczak-Bąk W., Poniewiera M., Sobieraj-Żlobińska A., Kowalik M. 2018. Reduction of measurement data before DTM generation vs. DTM generalization. Survey Review. DOI 10.1080/00396265.2018.1474685.
Douglas D.H., Peucker T.K. 1973. Algorithms for the reduction of the number of points required to represent a digitized line or its caricature. Canadian Cartographer. Vol. 10. Iss. 2 p. 112–122. DOI 10.1002/9780470669488.ch2.
GEO-LISP 2018. System obsługi kopalnianych map numerycznych [Digital Mine Maps Management System Geolisp] [online]. [Access data: 2018.03.01]. Available at: www.geolisp.pl
Gharbi M., Soualmia A., Dartus D., Masbernat L. 2016. Comparison of 1D and 2D hydraulic models for floods simulation on the Medjerda River in Tunisia. Journal of Materials and Environmental Science. Vol. 7. Iss. 8 p. 3017–3026.
Hartnett M., Nash S. 2017. High-resolution flood modeling of urban areas using MSN_Flood. Water Science and Engineering. Vol. 10. Iss. 3 p. 175–183. DOI 10.1016/j.wse.2017.10.003
Jelonek I., Poniewiera M., Gąsior B. 2015. The qualitative model of the deposit on the example of the Kompania Węglowa S.A. P. I: Stages in the development of the digital model the deposit. Potsdam, Germany. Schriftenreihe der Deutschen Gesellschaft für Geowissenschaften. H. 87 p. 91.
Kuzia K. 2016. Application of airborne laser scanning in monitoring of land subsidence caused by underground mining exploitation. Geoinformatica Polonica. Vol. 15 p. 7–13.
Mioduszewski W. 2012. Small water reservoirs – their function and construction. Journal of Water and Land Development. No. 17 p. 45–52.
Mioduszewski W., Querner E. P., Kowalewski Z. 2014. The analysis of the impact of small retention on water resources in the catchment. Journal of Water and Land Development. No. 23 p. 41–51. DOI 10.1515/jwld-2014-0028.
Poniewiera M. 2013. Model terenu górniczego [Model of mining area]. Przegląd Górniczy. T. 69. Nr 8 p. 176–179.
Poniewiera M. 2017. Zastosowanie oprogramowania Geolisp do budowy dynamicznego systemu informacji o przestrzeni górniczej [The use of the Geolisp software to build a dynamic information system about the mining area]. Systemy Wspomagania w Inżynierii Produkcji. Vol. 6. Iss. 3 p. 213–222.
Sokoła-Szewioła V., Wiatr J. 2014. The spatial digital inventory of mining plant objects using terrestrial laser scanning technology. In: Innovative technologies in mining and transport. Ed. A.W. Korczak. Katowice, Moscow. Publishing House of Silesian University of Technology p. 56–70.