Assessment of geo-environmental problems of the Zonguldak province (NW Turkey)

Turer, Dilek; Nefeslioğlu, Hakan A.; Zorlu, Kıvanç; Gökçeoğlu, Candan

doi:10.1007/s00254-007-1049-3

Cited by 38 publications

(13 citation statements)

References 24 publications

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“…Recent studies have analyzed ground-subsidence hazards using the results of geological and geotechnical investigations, as well as probability, statistics, fuzzy algebra, and artificial neural network (ANN) models in geographic information system (GIS) applications (Ambro zi c and Turk, 2003;Kim et al, 2006;Esaki et al, 2008;Turer et al, 2008;Kim et al, 2009;Mancini et al, 2009;Quanyuan et al, 2009;Choi et al, 2010;Lee et al, 2010;Lee, 2010, 2011;. Some studies have assessed and identified areas with high subsidence risk.…”

Section: Introductionmentioning

confidence: 97%

Application of decision tree model for the ground subsidence hazard mapping near abandoned underground coal mines

Lee

Park

2013

Journal of Environmental Management

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Section: Introductionmentioning

confidence: 97%

Application of decision tree model for the ground subsidence hazard mapping near abandoned underground coal mines

Lee

Park

2013

Journal of Environmental Management

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“…Recently, ground subsidence hazards have been analyzed using results of geological and geotechnical investigations and probability, statistic, fuzzy algebra and artificial neural network models in tandem with geographic information system (GIS) application (Ambrožič and Turk 2003;Choi et al 2010;Kim et al 2006Kim et al , 2009Lee et al 2010;Oh and Lee 2010;Quanyuan et al 2009;Turer et al 2008). Some ground subsidence hazard assessments that include the identification of areas with a high subsidence risk have been published.…”

Section: Introductionmentioning

confidence: 98%

Sensitivity analysis for the GIS-based mapping of the ground subsidence hazard near abandoned underground coal mines

Ahn²,

Choi

et al. 2010

Environ Earth Sci

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Ground subsidence around abandoned underground coal mines can cause much loss of life and property. We analyze factors that can affect ground subsidence around abandoned mines in Jeongahm in Kangwon-do by sensitivity analysis in geographic information system (GIS). Spatial data for the subsidence area, topography and geology and various ground engineering data were collected and used to make a factor raster database for a ground subsidence hazard map. To determine the importance of extracted subsidence-related factors, frequency ratio model and sensitivity analysis were employed. Sensitivity analysis is a method for comparing the combined effects of all factors except one. Sensitivity analysis and its verification showed that using all factors provided 91.61% accuracy. The best accuracy was achieved by not considering the groundwater depth (92.77%) and the worst by not considering the lineament (85.42%). The results show that the distance from the lineament and the distance from the drift highly affected the occurrence of ground subsidence, and the groundwater depth, land use and rock mass rating had the least effects. Thus, we determined causes of ground subsidence in the study area and this information could help in the prediction of ground subsidence in other areas.

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“…The Zonguldak Hard Coal Basin has unique features compared to other hard coal basins as far as mining subsidence is concerned. The basin is prone to bear subsidence related problems in the near future due to the following reasons (Turer et al, 2008):…”

Section: Importance Of Subsidence Monitoring In the Study Areamentioning

confidence: 99%

Computation of subsidence parameters resulting from layer movements post-operations of underground mining

Can¹,

Mekik²,

Kuşcu³

et al. 2013

Journal of Structural Geology

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Assessment of geo-environmental problems of the Zonguldak province (NW Turkey)

Cited by 38 publications

References 24 publications

Application of decision tree model for the ground subsidence hazard mapping near abandoned underground coal mines

Application of decision tree model for the ground subsidence hazard mapping near abandoned underground coal mines

Sensitivity analysis for the GIS-based mapping of the ground subsidence hazard near abandoned underground coal mines

Computation of subsidence parameters resulting from layer movements post-operations of underground mining

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