Implementace vlivu poddolování při sestavování map náchylností k sesouvání.
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Date issued
Authors
Křístková, Veronika
Journal Title
Journal ISSN
Volume Title
Publisher
Vysoká škola báňská - Technická univerzita Ostrava
Location
ÚK/Sklad diplomových prací
Signature
201400033
Abstract
The dissertation thesis deals with the evaluation of susceptibility to landsliding in the area of interest northeastern part of the Moravian-Silesian region in the six map sheets Ostrava 15-43, Frýdek - Místek 25-22, Karviná 15-44, New Jicin 25-21, Bohumín 15-42, Hlučín 15 - 23 on a scale of 1: 50,000 and an area of 123.47 km². On this territory was created predictive map of susceptibility to landsliding through quantitative methods conditional analysis in a GIS environment. Based on the conditional analysis, the resulting map was defined five classes that represent different susceptibility to landsliding.The area of interest is studied mining area Staříč and Paskov in the cadastral Frýdku - Místku and Ostrava, located on the map list 25-22 Frýdek - Místek a 25-21 Noý Jičín and covers an area of 110, 05 km ². In this study area was established methodology and analysis of the impact of decline due to map susceptibility to landsliding in the mining area Staříč and tape. Using Pearson's correlation coefficient R was performed statistical analysis of the degree of dependence between susceptibility to landsliding and undermining. Based on statistical analysis can be clearly demonstrated that the settlement trough as a result of underground coal mining in the area of interest increases susceptibility to landsliding. To verify the above findings were made known map of slope deformation and interpreted in a number of financial demands of mining damage. Results and summary of the frequency of slope failures and mining damage correlate with the results of the studies related susceptibility to slumping and subsidence trough, they are surprisingly low, which is consistent with the findings identified low correlation between them.
Description
Import 21/10/2013
Subject(s)
GIS, landslide susceptibility maps, underground mining area, conditional analysis