Natural Disaster Diversity Assessment of Bitlis Province

Bitlis province is located on a geography where natural disasters occur frequently due both to their geomorphologic structure and climatic features. However, necessary studies for disaster diversity inventory and consequently risk probability analyses have not been performed so far. In this study, t...

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Main Authors: Rezzan Ekinci, Aydın Büyüksaraç, Yunus Levent Ekinci, Ercan Işık
Format: Article
Language:English
Published: Artvin Coruh University 2020-01-01
Series:Doğal Afetler ve Çevre Dergisi
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Online Access:http://dacd.artvin.edu.tr/tr/download/article-file/882504
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author Rezzan Ekinci
Aydın Büyüksaraç
Yunus Levent Ekinci
Ercan Işık
author_facet Rezzan Ekinci
Aydın Büyüksaraç
Yunus Levent Ekinci
Ercan Işık
author_sort Rezzan Ekinci
collection DOAJ
description Bitlis province is located on a geography where natural disasters occur frequently due both to their geomorphologic structure and climatic features. However, necessary studies for disaster diversity inventory and consequently risk probability analyses have not been performed so far. In this study, temporal and spatial analyses of various natural disasters such as landslides, avalanches, rockfalls and floods occurred in Bitlis province were performed. Considering the damages resulted from the natural disaster occurrences, risk scores were calculated for the classifications. In order to perform risk analyses, the Fine-Kinney method, which is a method that uses the parameters of probability, severity and frequency, was employed. In this study, the method which is frequently used in occupational health safety studies was applied to risk analyses of natural disasters for the first time and therefore a new scale compatible with the aim of the study was determined and computations were made accordingly. It was decided that landslide, rockfall and avalanche events threaten the daily life in the districts which have sloped topographies and generally get heavy rainfall. Emergency actions that can be applied in case of a possible avalanche disaster are strongly recommended for Bitlis province that is most prone to be damaged by avalanche events. In addition, necessary precautions should be taken immediately to prevent the loss of life and property in the south districts, where the risk of rockfall events is high. On the other hand, it was determined that flooding events do not pose a serious danger.
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id doaj-art-cbbc73aef09f42b5b78e527d944259c4
institution Kabale University
issn 2528-9640
2528-9640
language English
publishDate 2020-01-01
publisher Artvin Coruh University
record_format Article
series Doğal Afetler ve Çevre Dergisi
spelling doaj-art-cbbc73aef09f42b5b78e527d944259c42025-02-02T04:56:37ZengArtvin Coruh UniversityDoğal Afetler ve Çevre Dergisi2528-96402528-96402020-01-0161111doi.org/10.21324/dacd.535189Natural Disaster Diversity Assessment of Bitlis ProvinceRezzan Ekinci0https://orcid.org/0000-0002-5367-8857Aydın Büyüksaraç1https://orcid.org/0000-0002-4279-4158Yunus Levent Ekinci2https://orcid.org/0000-0003-4966-1208Ercan Işık3https://orcid.org/0000-0001-8057-065XBitlis Eren Üniversitesi, Fen Bilimleri Enstitüsü, Acil Durum ve Afet Yönetimi Anabilim Dalı, Bitlis.Bitlis Eren Üniversitesi, Mühendislik Fakültesi, İnşaat Mühendisliği Bölümü, Bitlis.Bitlis Eren Üniversitesi, Fen Edebiyat Fakültesi, Arkeoloji Bölümü, Bitlis.Bitlis Eren Üniversitesi, Mühendislik Fakültesi, İnşaat Mühendisliği Bölümü, BitlisBitlis province is located on a geography where natural disasters occur frequently due both to their geomorphologic structure and climatic features. However, necessary studies for disaster diversity inventory and consequently risk probability analyses have not been performed so far. In this study, temporal and spatial analyses of various natural disasters such as landslides, avalanches, rockfalls and floods occurred in Bitlis province were performed. Considering the damages resulted from the natural disaster occurrences, risk scores were calculated for the classifications. In order to perform risk analyses, the Fine-Kinney method, which is a method that uses the parameters of probability, severity and frequency, was employed. In this study, the method which is frequently used in occupational health safety studies was applied to risk analyses of natural disasters for the first time and therefore a new scale compatible with the aim of the study was determined and computations were made accordingly. It was decided that landslide, rockfall and avalanche events threaten the daily life in the districts which have sloped topographies and generally get heavy rainfall. Emergency actions that can be applied in case of a possible avalanche disaster are strongly recommended for Bitlis province that is most prone to be damaged by avalanche events. In addition, necessary precautions should be taken immediately to prevent the loss of life and property in the south districts, where the risk of rockfall events is high. On the other hand, it was determined that flooding events do not pose a serious danger.http://dacd.artvin.edu.tr/tr/download/article-file/882504bitlisnatural disasterrisk analysisfine-kinney method
spellingShingle Rezzan Ekinci
Aydın Büyüksaraç
Yunus Levent Ekinci
Ercan Işık
Natural Disaster Diversity Assessment of Bitlis Province
Doğal Afetler ve Çevre Dergisi
bitlis
natural disaster
risk analysis
fine-kinney method
title Natural Disaster Diversity Assessment of Bitlis Province
title_full Natural Disaster Diversity Assessment of Bitlis Province
title_fullStr Natural Disaster Diversity Assessment of Bitlis Province
title_full_unstemmed Natural Disaster Diversity Assessment of Bitlis Province
title_short Natural Disaster Diversity Assessment of Bitlis Province
title_sort natural disaster diversity assessment of bitlis province
topic bitlis
natural disaster
risk analysis
fine-kinney method
url http://dacd.artvin.edu.tr/tr/download/article-file/882504
work_keys_str_mv AT rezzanekinci naturaldisasterdiversityassessmentofbitlisprovince
AT aydınbuyuksarac naturaldisasterdiversityassessmentofbitlisprovince
AT yunusleventekinci naturaldisasterdiversityassessmentofbitlisprovince
AT ercanisık naturaldisasterdiversityassessmentofbitlisprovince