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IMPLEMENTATION OF FLOOD LAND GEOFACTOR AND ITS GEOLOGICAL STRUCTURE INTO LAND USE PLANS IN THE MINING LANDSCAPE

Marián Marschalko

First published: 2011-06-20https://doi.org/10.5593/sgem2011/s02.124View metrics

Abstract

The presented paper brings results of a case study implementing the geofactors of flood land and radon hazard into land use plans in the cadastral district of Doubrava and Karvina. The studied area is located in the Ostrava-Karvina Coal District in the north- east of the Czech Republic close to the Polish border. It is defined by the map sheet 15- 44-03 in 1:10 000 scale. The area was studied for the fact how land use planners catered for the distribution of flood land characte rised by the hundred-year flood and the dominant flood of 1997. It was discovered that the character of land use plan functional zones does not meet flood protection requirement s. In addition, the paper also studies the character of the upper geological structure which was affected by the above stated process. The implementation of overlay analyses of flood land and engineering- geological zones identified the character of foundation soils.

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Publication details

Title
IMPLEMENTATION OF FLOOD LAND GEOFACTOR AND ITS GEOLOGICAL STRUCTURE INTO LAND USE PLANS IN THE MINING LANDSCAPE
Authors
Marián Marschalko
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; SGEM2011 11th International Multidisciplinary Scientific GeoConference
Publisher
Stef92 Technology
Year
2011
Pages
Not available yet
ISSN
1314-2704
ISBN
Not available yet
Language
en
Publication type
Conference Paper
Keywords
References11
  1. Bednarik, M., Magulova, B., Matys, M., Ma rschalko, M., 2010. Landslide susceptibility assessment of the Kralovany-Liptovsky Mikulas railway case study. Physics And Chemistry of The Earth 35 (3-5), pp.162-171

  2. Marschalko, M., Fuka, M., Treslin, L., 2008. Measurements by the method of precise inclinometry on locality affected by mining activity. Archives of Mining Sciences 53 (3), pp. 397-414

  3. Marschalko, M., Hofrichterova, L., Lahuta, H ., 2008. Utilization of geophysical method of multielectrode resistivity measur ements on a slope deformation in the mining district. SGEM 2008: 8th International Scientific Conference, Vol I, Conference Proceedings, pp.315-324

  4. Marschalko, M., Juris, P., Tomas, P., 2008. Selected geofactors of floodland, radon risk, slope deformations and undermining as significant limiting conditions in land-use planning. Conference proceeding - SGEM 2008: 8th Interna tional Scientific Conference, Vol I, pp. 201-

  5. Marschalko, M., Lahuta, H., Juris, P., 2008. Analysis of workability of rocks and type of prequarternary bedrock in the selected part of the Ostrava conurbation by means of geographic information systems. Acta Montanistica Slovaca 13 (2), pp. 195-203

  6. Marschalko, M., Fuka, M., Treslin, L., 2008. Influence of mining activity on selected landslide in the Ostrava-Karvina coalfield, Acta Montanistica Slovaca 13 (1), pp. 58-65

  7. Marschalko, M., Juris, P., 2009. Task of engineering geology in land-use planning on the example of four selected geofactors. Acta Montanistica Slovaca 14 (4), pp. 275-283

  8. Marschalko, M., Tomas, P., Juris, P., 2009. Evaluation of four selected geobarriers flood lands, radon hazard, underm ining and slope movements by m eans of geographic information systems., Conference proceeding - SGEM 2009: 9t h International Multidis ciplinary Scientific GeoConference, Vol. I, pp. 221-228

  9. Marschalko, M., Duraj, M., 2009. Knowledge of engineering-geological conditions as decisive factor for good-quality and functional foundation of potential structures. Conference proceeding - SGEM 2009: 9th International Multidis ciplinary Scientific GeoConference, Vol. I, pp. 261-269

  10. Marschalko, M., Treslin, L., 2009. Impact of underground mining to slope deformation genesis at Doubrava Ujala. Acta Montanistica Slovaca 14 (3), pp. 232-240

  11. Yilmaz, I., Marschalko, M., Bednarik, M., Kaynar, O., Fojtova, L., 2011. Neural computing models for prediction of permeability coefficient of coarse grained soils. Neural Computing and Applications. DOI: 10.1007/s00521-011-0535-4

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