Conference Paper

Susceptibility mapping for sinkhole occurrence by GIS and SSI methods: A case study in Afsin-Elbistan coal basin

Volume: 26 Number: 8 December 10, 2020
  • Remzi Karagüzel
  • Yılmaz Mahmutoğlu
  • Meral Erdoğan Topçuoğlu
  • Gökhan Şans
  • Aynur Dikbaş
EN

Susceptibility mapping for sinkhole occurrence by GIS and SSI methods: A case study in Afsin-Elbistan coal basin

Abstract

The major structural defects that cause the displacement in rock are discontinuities (fracture-joint-fault) and karstic cavities. Depending on the position and geometry of the karstic cavities, sinkholes occur both within the bedrock and in the cover layers. Occurance of sinkholes primarily depends on existence of carbonate rocks containing sub-surface karstic cavities and loose and weak cover layers. Following the landslides occured in 2011, it was planned to reduce the hydraulic head of the karstic aquifer which lies at the bottom of the coal-bearing layers in order to restart the mining activity in Afşin-Elbistan Coal Basin. For this purpose, dewatering wells were drilled in January 2015. Two weeks after the drilling, the first sinkhole occured at the southwestern edge of the basin and during the following six months four other sinkholes occured close to the first one. The geological, hydrological, hydrogeological and geo-mechanical models of the basin has been composed in order to understand the mechanism of sinkhole occurence in the Afşin-Elbistan Coal Basin. Thematic maps showing the spatial distribution of parameters which determine the formation of sinkholes were obtained by using a Geographic Information System (GIS) based analysis method. Analytical Hierarchy Process (AHP) approach, which is one of the multi-criteria decision-making analyzes, has been adopted in determining the impact and weight coefficients of each effective parameter which plays a role in occurance of the sinkholes. The Sinkhole Susceptibility Index (SSI) was calculated by using all parameters which were classified and weighted. The SSI refers to the susceptibility of sinkhole occurance. The higher value of the SSI means that the risk of potential occurrence of a sinkhole is high. Calculated SSI in the study area ranges from 9 to 110 and the higher values were obtained for the area corresponding to the margin of the basin where the sinkholes occurred.

Keywords

References

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Details

Primary Language

English

Subjects

Engineering

Journal Section

Conference Paper

Authors

Remzi Karagüzel This is me
Türkiye

Yılmaz Mahmutoğlu This is me
Türkiye

Meral Erdoğan Topçuoğlu This is me
Türkiye

Gökhan Şans This is me
Türkiye

Aynur Dikbaş This is me
Türkiye

Publication Date

December 10, 2020

Submission Date

April 30, 2020

Acceptance Date

-

Published in Issue

Year 2020 Volume: 26 Number: 8

APA
Karagüzel, R., Mahmutoğlu, Y., Erdoğan Topçuoğlu, M., Şans, G., & Dikbaş, A. (2020). Susceptibility mapping for sinkhole occurrence by GIS and SSI methods: A case study in Afsin-Elbistan coal basin. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 26(8), 1353-1359. https://izlik.org/JA73BW39NU
AMA
1.Karagüzel R, Mahmutoğlu Y, Erdoğan Topçuoğlu M, Şans G, Dikbaş A. Susceptibility mapping for sinkhole occurrence by GIS and SSI methods: A case study in Afsin-Elbistan coal basin. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi. 2020;26(8):1353-1359. https://izlik.org/JA73BW39NU
Chicago
Karagüzel, Remzi, Yılmaz Mahmutoğlu, Meral Erdoğan Topçuoğlu, Gökhan Şans, and Aynur Dikbaş. 2020. “Susceptibility Mapping for Sinkhole Occurrence by GIS and SSI Methods: A Case Study in Afsin-Elbistan Coal Basin”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 26 (8): 1353-59. https://izlik.org/JA73BW39NU.
EndNote
Karagüzel R, Mahmutoğlu Y, Erdoğan Topçuoğlu M, Şans G, Dikbaş A (December 1, 2020) Susceptibility mapping for sinkhole occurrence by GIS and SSI methods: A case study in Afsin-Elbistan coal basin. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 26 8 1353–1359.
IEEE
[1]R. Karagüzel, Y. Mahmutoğlu, M. Erdoğan Topçuoğlu, G. Şans, and A. Dikbaş, “Susceptibility mapping for sinkhole occurrence by GIS and SSI methods: A case study in Afsin-Elbistan coal basin”, Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, vol. 26, no. 8, pp. 1353–1359, Dec. 2020, [Online]. Available: https://izlik.org/JA73BW39NU
ISNAD
Karagüzel, Remzi - Mahmutoğlu, Yılmaz - Erdoğan Topçuoğlu, Meral - Şans, Gökhan - Dikbaş, Aynur. “Susceptibility Mapping for Sinkhole Occurrence by GIS and SSI Methods: A Case Study in Afsin-Elbistan Coal Basin”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 26/8 (December 1, 2020): 1353-1359. https://izlik.org/JA73BW39NU.
JAMA
1.Karagüzel R, Mahmutoğlu Y, Erdoğan Topçuoğlu M, Şans G, Dikbaş A. Susceptibility mapping for sinkhole occurrence by GIS and SSI methods: A case study in Afsin-Elbistan coal basin. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi. 2020;26:1353–1359.
MLA
Karagüzel, Remzi, et al. “Susceptibility Mapping for Sinkhole Occurrence by GIS and SSI Methods: A Case Study in Afsin-Elbistan Coal Basin”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, vol. 26, no. 8, Dec. 2020, pp. 1353-9, https://izlik.org/JA73BW39NU.
Vancouver
1.Remzi Karagüzel, Yılmaz Mahmutoğlu, Meral Erdoğan Topçuoğlu, Gökhan Şans, Aynur Dikbaş. Susceptibility mapping for sinkhole occurrence by GIS and SSI methods: A case study in Afsin-Elbistan coal basin. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi [Internet]. 2020 Dec. 1;26(8):1353-9. Available from: https://izlik.org/JA73BW39NU