SINKHOLE SUSCEPTIBILITY ANALYSIS for KARAPINAR/KONYA VIA MULTI CRITERIA DECISION
dc.contributor.author | Sarl F. | |
dc.date.accessioned | 2020-03-26T19:43:58Z | |
dc.date.available | 2020-03-26T19:43:58Z | |
dc.date.issued | 2017 | |
dc.department | Selçuk Üniversitesi | en_US |
dc.description | 4th International GeoAdvances Workshop - GeoAdvances 2017: ISPRS Workshop on Multi-Dimensional and Multi-Scale Spatial Data Modeling -- 14 October 2017 through 15 October 2017 -- 131995 | en_US |
dc.description.abstract | 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 Karaplnar, 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 Karaplnar. Nowadays, considering the economic contribution of Karaplnar 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 Karaplnar 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. © Authors 2017. | en_US |
dc.identifier.doi | 10.5194/isprs-annals-IV-4-W4-339-2017 | en_US |
dc.identifier.endpage | 343 | en_US |
dc.identifier.issn | 2194-9042 | en_US |
dc.identifier.issue | 4W4 | en_US |
dc.identifier.scopusquality | N/A | en_US |
dc.identifier.startpage | 339 | en_US |
dc.identifier.uri | https://dx.doi.org/10.5194/isprs-annals-IV-4-W4-339-2017 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12395/35795 | |
dc.identifier.volume | 4 | en_US |
dc.identifier.wos | WOS:000568997100052 | en_US |
dc.identifier.wosquality | N/A | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.language.iso | en | en_US |
dc.publisher | Copernicus GmbH | en_US |
dc.relation.ispartof | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.selcuk | 20240510_oaig | en_US |
dc.subject | Geographical Information Systems | en_US |
dc.subject | Multi Decision Criteria | en_US |
dc.subject | Sinkhole Susceptibility | en_US |
dc.subject | Sinkholes | en_US |
dc.title | SINKHOLE SUSCEPTIBILITY ANALYSIS for KARAPINAR/KONYA VIA MULTI CRITERIA DECISION | en_US |
dc.type | Conference Object | en_US |