SINKHOLE SUSCEPTIBILITY ANALYSIS FOR KARAPINAR/KONYA VIA MULTI CRITERIA DECISION

Sinkholes are being a natural hazard which threads economic and human life. Sudden occurrence characteristic of sinkholes make it unable to escape. There are a lot of factor that activate sinkholes such as geology, irrigation, land use and human related factors. In Karapınar, Konya, there are over 2...

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Main Author: F. Sarı
Format: Article
Language:English
Published: Copernicus Publications 2017-11-01
Series:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-4-W4/339/2017/isprs-annals-IV-4-W4-339-2017.pdf
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spelling doaj-822538a35671493bad6d2f80e9a970e72020-11-25T01:45:11ZengCopernicus PublicationsISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences2194-90422194-90502017-11-01IV-4-W433934310.5194/isprs-annals-IV-4-W4-339-2017SINKHOLE SUSCEPTIBILITY ANALYSIS FOR KARAPINAR/KONYA VIA MULTI CRITERIA DECISIONF. Sarı0SU, Cumra School of Applied Sciences, Konya, TurkeySinkholes are being a natural hazard which threads economic and human life. Sudden occurrence characteristic of sinkholes make it unable to escape. There are a lot of factor that activate sinkholes such as geology, irrigation, land use and human related factors. In Karapınar, Konya, there are over 200 sinkholes and this count is getting increased in recent years. Especially active agricultural lands, decreasing ground water level, extreme irrigation by 55267 water wells increase the risk factor of Karapınar. Nowadays, considering the economic contribution of Karapınar to Turkey economy in the field of agriculture, solar energy fields and thermal reactor which will be planned in next few years, prediction of sinkholes and searching for preventation ways are being more important issue. <br><br> In this study, sinkhole susceptibility map via AHP was carried out for Karapınar in Konya. Slope, land use, elevation, geology, water wells, distance to roads and settlements criteria are included to determine susceptibility. The weights are calculated with AHP for each criterion and generated susceptibility map is overlapped with existing sinkholes. Suggestions and results are shared for this study.https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-4-W4/339/2017/isprs-annals-IV-4-W4-339-2017.pdf
collection DOAJ
language English
format Article
sources DOAJ
author F. Sarı
spellingShingle F. Sarı
SINKHOLE SUSCEPTIBILITY ANALYSIS FOR KARAPINAR/KONYA VIA MULTI CRITERIA DECISION
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
author_facet F. Sarı
author_sort F. Sarı
title SINKHOLE SUSCEPTIBILITY ANALYSIS FOR KARAPINAR/KONYA VIA MULTI CRITERIA DECISION
title_short SINKHOLE SUSCEPTIBILITY ANALYSIS FOR KARAPINAR/KONYA VIA MULTI CRITERIA DECISION
title_full SINKHOLE SUSCEPTIBILITY ANALYSIS FOR KARAPINAR/KONYA VIA MULTI CRITERIA DECISION
title_fullStr SINKHOLE SUSCEPTIBILITY ANALYSIS FOR KARAPINAR/KONYA VIA MULTI CRITERIA DECISION
title_full_unstemmed SINKHOLE SUSCEPTIBILITY ANALYSIS FOR KARAPINAR/KONYA VIA MULTI CRITERIA DECISION
title_sort sinkhole susceptibility analysis for karapinar/konya via multi criteria decision
publisher Copernicus Publications
series ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
issn 2194-9042
2194-9050
publishDate 2017-11-01
description Sinkholes are being a natural hazard which threads economic and human life. Sudden occurrence characteristic of sinkholes make it unable to escape. There are a lot of factor that activate sinkholes such as geology, irrigation, land use and human related factors. In Karapınar, Konya, there are over 200 sinkholes and this count is getting increased in recent years. Especially active agricultural lands, decreasing ground water level, extreme irrigation by 55267 water wells increase the risk factor of Karapınar. Nowadays, considering the economic contribution of Karapınar to Turkey economy in the field of agriculture, solar energy fields and thermal reactor which will be planned in next few years, prediction of sinkholes and searching for preventation ways are being more important issue. <br><br> In this study, sinkhole susceptibility map via AHP was carried out for Karapınar in Konya. Slope, land use, elevation, geology, water wells, distance to roads and settlements criteria are included to determine susceptibility. The weights are calculated with AHP for each criterion and generated susceptibility map is overlapped with existing sinkholes. Suggestions and results are shared for this study.
url https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-4-W4/339/2017/isprs-annals-IV-4-W4-339-2017.pdf
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