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The Assessment of Turkey’s Exposure and Susceptibility to Disasters and Hazards with IDB Indicator System

Yıl 2020, Cilt: 6 Sayı: 12, 40 - 51, 25.12.2020

Öz

The aim of this study is to determine the exposure and sensitivity of our country against the increasing natural, technological and man-made disasters with the help of index system and to reveal the deficiencies and competencies in this subject. In this way, the study will guide the decision makers in terms of the preparations and work to be done against disasters.
The study was prepared with a semi-numerical method and the scope of the study was all provinces of our country. The data covers the period of 2015, 2016, 2017 and their averages. The ESI (Exposure and Susceptibility Index) consists of 8 sub-factors and the index value is between 0 and 1. Classification of index values was done according to international standards as follows; between 0-0.20 as low, between 0.20-0.40 as medium, between 0.40-0.80 as high and between 0.80-1.00 as very high.
In the results of the study; in terms of exposure and sensitivity, 14.82% of Turkey provinces were in high, 81.47% were in the middle category and 3.70% were in the low category. It is noteworthy that among the provinces in the high category, large cities such as İstanbul (0.58), Adana (0.44), İzmir (0.42), Gaziantep (0.41) and Şanlıurfa (0.40) took place. In the international arena, the calculation is made out of 20 countries that Turkey has the lowest 10th countries. In addition, Turkey's ES Index value is below the average compared to the general average of the countries.
Accordingly, it is necessary to make investments and studies on irregular population growth, population density, poor population rates, agriculture and distribution of continuous products for our provinces with high ESI value.

Kaynakça

  • AFAD (Disaster and Emergency Management Presidency (DEMP)), (2009), Açıklamalı Afet Yönetimi Terimleri Sözlüğü (Disaster Management Glossary with Explanations), https://www.afad.gov.tr/tr/23972, Erişim Tarihi (Date of Access): 15.04.2019.
  • BID. 2010a. Indicadores de Riesgo de Desastre y de Gestión de Riesgos (Argentina). Banco Interamericano de Desarrollo; Washington.
  • IDB. 2010a. Indicators for Disaster Risk and Risk Management (Barbados). Inter-American Development Bankü; Washington.
  • BID. 2010c. Indicadores de Riesgo de Desastre y de Gestión de Riesgos (Costa Rica). Banco Interamericano de Desarrollo; Washington.
  • BID. 2010d. Indicadores de Riesgo de Desastre y de Gestión de Riesgos (Ecuador). Banco Interamericano de Desarrollo; Washington.
  • BID. 2010e. Indicadores de Riesgo de Desastre y de Gestión de Riesgos (República Domicana). Banco Interamericano de Desarrollo; Washington. Banco Interamericano de Desarrollo; IDB. 2018. Indicators for Disaster Risk and Risk Management (Suriname). Inter-American Development Bank; Washington.
  • BID. 2015a. Indicadores de Riesgo de Desastre y de Gestión de Riesgos (Chile). Banco Interamericano de Desarrollo; Washington.
  • BID. 2015b. Indicadores de Riesgo de Desastre y de Gestión de Riesgos (México). Banco Interamericano de Desarrollo; Washington.
  • BID. 2015c. Indicadores de Riesgo de Desastre y de Gestión de Riesgos (Nicaragua). Banco Interamericano de Desarrollo; Washington. BID. 2015d. Indicadores de Riesgo de Desastre y de Gestión de Riesgos (Panamá). Banco Interamericano de Desarrollo; Washington.
  • BID. 2015e. Indicadores de Riesgo de Desastre y de Gestión de Riesgos (Perú). Banco Interamericano de Desarrollo; Washington.
  • BIRKMANN Jörn, (2006), Measuring vulnerability to promote disaster-resilient societies: Conceptual frameworks and definitions, UNU-Press, Tokyo.
  • BIRKMANN Jörn, (2006), Measuring vulnerability to promote disaster-resilient societies: Conceptual frameworks and definitions, UNU-Press, Tokyo.
  • CARDONA Omar Dario; (2006), “A System of Indicators for Disaster Risk Management in the Americas” in Measuring Vulnerability to Hazards of Natural Origin: Towards Disaster Resilient Societies, United Nations University Press, Tokyo.
  • CARREÑO Martha Liliana, CARDONA Omar Dario and BARBAT Alex H.; (2005), Sistema de indicadores para la evaluación de riesgos, Centro Internacional de Métodos Numéricos en Ingenieria, Barcelona.
  • CARREÑO Martha Liliana, CARDONA Omar Dario and BARBAT Alex H.; (2005), Sistema de indicadores para la evaluación de riesgos, Inter-American Development Bank, Barcelona.
  • CARREÑO Martha Liliana, CARDONA Omar Dario and BARBAT Alex H.; (2005), Sistema de indicadores para la evaluación de riesgos, Centro Internacional de Métodos Numéricos en Ingenieria, Barcelona.
  • DAVIDSON Rachel A. and SHAH Haresh C.; (1997), An Urban Earthquake Disaster Risk Index, Blume Earthquake Engineering Center Stanford University, Stanford.
  • ESCAP, (2012), The Asia-Pacific Disaster Report 2012: Reducing Vulnerability and Exposure to Disasters, United Nations Publication, Bangkok.
  • ESCAP, (2017), Asia-Pacific Disaster Report 2017: Disaster Resilience for Sustainable Development, United Naions Publication, Bangkok.
  • FUCHS Sven, (2009), Susceptibility versus resilience to mountain hazards in Austria-Paradigms of vulnerability revisited, Natural Hazards and Earth System Sciences, 9(2), 337-352. IDB. 2004. Information and Indicators Program for Disaster Risk Management-Application of the System of Indicators 1980-2000 (Jamaica). Inter-American Development Bank; Washington.
  • IDB. 2010b. Indicators for Disaster Risk and Risk Management (Trinidad and Tobago). Inter-American Development Bank; Washington.
  • IDB. 2011b. Indicators for Disaster Risk and Risk Management (Belize). Inter-American Development Bank; Washington.
  • BID. 2010b. Indicadores de Riesgo de Desastre y de Gestión de Riesgos (Bolivia). Banco Interamericano de Desarrollo;
  • IDB; (2011), Indicators for Disaster Risk and Risk Management (Belize), Inter-American Development Bank; Washington.
  • IDEA (Instituto de Estudios Ambientales); (2005), http://idea.unalmzl.edu.co/ingles/contexto.php, Erişim Tarihi (Date of Access): 26.05.2019.
  • IPCC, (2014), Climate Change 2014: impacts, adaptation, and vulnerability. Cambridge University Press; New York.
  • LAVELL Allan; (2003), Approaches to the construction of risk indicators at different spatial or territorial scales and the major components of indicator systemsconceptual bases, risk construction processes and practical implications, IADB/IDEA Programa de Indicadores para la Gestión de Riesgos, Universidad Nacional de Colombia, Manizales.
  • LIN Ting, HASELTON Curt B. and BAKER Jack W.; (2013) “Conditional spectrum-based ground motion selection. Part I: Hazard consistency for risk-based assessments”, Earthquake Engineering & Structural Dynamics, 103, pp. 1-19.
  • MARZOCCHI W., MASTELLONE M.L., RUOCCO A. Di, NOVELLI P., ROMEO E. and GASPARINI P., (2009), Principles of multi-risk assessment: Interaction amongst natural and man-induced risks, European Commission Directorate General for Research, Brussels.
  • ORENCIO Pedcris M. and FUJİİ Masahiko; (2013), “A localized disaster-resilience index to assess coastal communities based on an analytic hierarchy process (AHP)”, International Journal of Disaster Risk Reduction, 3 (1), 62-75.
  • SENA Aderita, EBI Kristie L., FREITAS Carlos, CORVALAN Carlos and BARCELLOS Christovam, (2017), Indicators to measure risk of disaster associated with drough Implications fort the health sector, PIOS ONE, 12(7), pp. 1-16.
  • UNDRR, (2016), Exposure and Vulnerability, UNDRR Science and Technology Conference on the implementation of the Sendai Framework for Disaster Risk Reduction 2015-2030, 27-29 January, Geneva.
  • UNDRR; (2017), Terminology on disaster risk reduction (The United Nations Office for Disaster Risk Reduction), http://www.unisdr.org/we/inform/terminology, Erişim Tarihi: 17.07.2019.
Yıl 2020, Cilt: 6 Sayı: 12, 40 - 51, 25.12.2020

Öz

Kaynakça

  • AFAD (Disaster and Emergency Management Presidency (DEMP)), (2009), Açıklamalı Afet Yönetimi Terimleri Sözlüğü (Disaster Management Glossary with Explanations), https://www.afad.gov.tr/tr/23972, Erişim Tarihi (Date of Access): 15.04.2019.
  • BID. 2010a. Indicadores de Riesgo de Desastre y de Gestión de Riesgos (Argentina). Banco Interamericano de Desarrollo; Washington.
  • IDB. 2010a. Indicators for Disaster Risk and Risk Management (Barbados). Inter-American Development Bankü; Washington.
  • BID. 2010c. Indicadores de Riesgo de Desastre y de Gestión de Riesgos (Costa Rica). Banco Interamericano de Desarrollo; Washington.
  • BID. 2010d. Indicadores de Riesgo de Desastre y de Gestión de Riesgos (Ecuador). Banco Interamericano de Desarrollo; Washington.
  • BID. 2010e. Indicadores de Riesgo de Desastre y de Gestión de Riesgos (República Domicana). Banco Interamericano de Desarrollo; Washington. Banco Interamericano de Desarrollo; IDB. 2018. Indicators for Disaster Risk and Risk Management (Suriname). Inter-American Development Bank; Washington.
  • BID. 2015a. Indicadores de Riesgo de Desastre y de Gestión de Riesgos (Chile). Banco Interamericano de Desarrollo; Washington.
  • BID. 2015b. Indicadores de Riesgo de Desastre y de Gestión de Riesgos (México). Banco Interamericano de Desarrollo; Washington.
  • BID. 2015c. Indicadores de Riesgo de Desastre y de Gestión de Riesgos (Nicaragua). Banco Interamericano de Desarrollo; Washington. BID. 2015d. Indicadores de Riesgo de Desastre y de Gestión de Riesgos (Panamá). Banco Interamericano de Desarrollo; Washington.
  • BID. 2015e. Indicadores de Riesgo de Desastre y de Gestión de Riesgos (Perú). Banco Interamericano de Desarrollo; Washington.
  • BIRKMANN Jörn, (2006), Measuring vulnerability to promote disaster-resilient societies: Conceptual frameworks and definitions, UNU-Press, Tokyo.
  • BIRKMANN Jörn, (2006), Measuring vulnerability to promote disaster-resilient societies: Conceptual frameworks and definitions, UNU-Press, Tokyo.
  • CARDONA Omar Dario; (2006), “A System of Indicators for Disaster Risk Management in the Americas” in Measuring Vulnerability to Hazards of Natural Origin: Towards Disaster Resilient Societies, United Nations University Press, Tokyo.
  • CARREÑO Martha Liliana, CARDONA Omar Dario and BARBAT Alex H.; (2005), Sistema de indicadores para la evaluación de riesgos, Centro Internacional de Métodos Numéricos en Ingenieria, Barcelona.
  • CARREÑO Martha Liliana, CARDONA Omar Dario and BARBAT Alex H.; (2005), Sistema de indicadores para la evaluación de riesgos, Inter-American Development Bank, Barcelona.
  • CARREÑO Martha Liliana, CARDONA Omar Dario and BARBAT Alex H.; (2005), Sistema de indicadores para la evaluación de riesgos, Centro Internacional de Métodos Numéricos en Ingenieria, Barcelona.
  • DAVIDSON Rachel A. and SHAH Haresh C.; (1997), An Urban Earthquake Disaster Risk Index, Blume Earthquake Engineering Center Stanford University, Stanford.
  • ESCAP, (2012), The Asia-Pacific Disaster Report 2012: Reducing Vulnerability and Exposure to Disasters, United Nations Publication, Bangkok.
  • ESCAP, (2017), Asia-Pacific Disaster Report 2017: Disaster Resilience for Sustainable Development, United Naions Publication, Bangkok.
  • FUCHS Sven, (2009), Susceptibility versus resilience to mountain hazards in Austria-Paradigms of vulnerability revisited, Natural Hazards and Earth System Sciences, 9(2), 337-352. IDB. 2004. Information and Indicators Program for Disaster Risk Management-Application of the System of Indicators 1980-2000 (Jamaica). Inter-American Development Bank; Washington.
  • IDB. 2010b. Indicators for Disaster Risk and Risk Management (Trinidad and Tobago). Inter-American Development Bank; Washington.
  • IDB. 2011b. Indicators for Disaster Risk and Risk Management (Belize). Inter-American Development Bank; Washington.
  • BID. 2010b. Indicadores de Riesgo de Desastre y de Gestión de Riesgos (Bolivia). Banco Interamericano de Desarrollo;
  • IDB; (2011), Indicators for Disaster Risk and Risk Management (Belize), Inter-American Development Bank; Washington.
  • IDEA (Instituto de Estudios Ambientales); (2005), http://idea.unalmzl.edu.co/ingles/contexto.php, Erişim Tarihi (Date of Access): 26.05.2019.
  • IPCC, (2014), Climate Change 2014: impacts, adaptation, and vulnerability. Cambridge University Press; New York.
  • LAVELL Allan; (2003), Approaches to the construction of risk indicators at different spatial or territorial scales and the major components of indicator systemsconceptual bases, risk construction processes and practical implications, IADB/IDEA Programa de Indicadores para la Gestión de Riesgos, Universidad Nacional de Colombia, Manizales.
  • LIN Ting, HASELTON Curt B. and BAKER Jack W.; (2013) “Conditional spectrum-based ground motion selection. Part I: Hazard consistency for risk-based assessments”, Earthquake Engineering & Structural Dynamics, 103, pp. 1-19.
  • MARZOCCHI W., MASTELLONE M.L., RUOCCO A. Di, NOVELLI P., ROMEO E. and GASPARINI P., (2009), Principles of multi-risk assessment: Interaction amongst natural and man-induced risks, European Commission Directorate General for Research, Brussels.
  • ORENCIO Pedcris M. and FUJİİ Masahiko; (2013), “A localized disaster-resilience index to assess coastal communities based on an analytic hierarchy process (AHP)”, International Journal of Disaster Risk Reduction, 3 (1), 62-75.
  • SENA Aderita, EBI Kristie L., FREITAS Carlos, CORVALAN Carlos and BARCELLOS Christovam, (2017), Indicators to measure risk of disaster associated with drough Implications fort the health sector, PIOS ONE, 12(7), pp. 1-16.
  • UNDRR, (2016), Exposure and Vulnerability, UNDRR Science and Technology Conference on the implementation of the Sendai Framework for Disaster Risk Reduction 2015-2030, 27-29 January, Geneva.
  • UNDRR; (2017), Terminology on disaster risk reduction (The United Nations Office for Disaster Risk Reduction), http://www.unisdr.org/we/inform/terminology, Erişim Tarihi: 17.07.2019.
Toplam 33 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Kütüphane ve Bilgi Çalışmaları
Bölüm Orginal Research
Yazarlar

Ünal Yaprak 0000-0001-5745-3455

Turgut Şahinöz 0000-0001-8489-8978

Saime Şahinöz 0000-0003-0915-9344

Yayımlanma Tarihi 25 Aralık 2020
Yayımlandığı Sayı Yıl 2020 Cilt: 6 Sayı: 12

Kaynak Göster

APA Yaprak, Ü., Şahinöz, T., & Şahinöz, S. (2020). The Assessment of Turkey’s Exposure and Susceptibility to Disasters and Hazards with IDB Indicator System. Journal of International Health Sciences and Management, 6(12), 40-51.
AMA Yaprak Ü, Şahinöz T, Şahinöz S. The Assessment of Turkey’s Exposure and Susceptibility to Disasters and Hazards with IDB Indicator System. Journal of International Health Sciences and Management. Aralık 2020;6(12):40-51.
Chicago Yaprak, Ünal, Turgut Şahinöz, ve Saime Şahinöz. “The Assessment of Turkey’s Exposure and Susceptibility to Disasters and Hazards With IDB Indicator System”. Journal of International Health Sciences and Management 6, sy. 12 (Aralık 2020): 40-51.
EndNote Yaprak Ü, Şahinöz T, Şahinöz S (01 Aralık 2020) The Assessment of Turkey’s Exposure and Susceptibility to Disasters and Hazards with IDB Indicator System. Journal of International Health Sciences and Management 6 12 40–51.
IEEE Ü. Yaprak, T. Şahinöz, ve S. Şahinöz, “The Assessment of Turkey’s Exposure and Susceptibility to Disasters and Hazards with IDB Indicator System”, Journal of International Health Sciences and Management, c. 6, sy. 12, ss. 40–51, 2020.
ISNAD Yaprak, Ünal vd. “The Assessment of Turkey’s Exposure and Susceptibility to Disasters and Hazards With IDB Indicator System”. Journal of International Health Sciences and Management 6/12 (Aralık 2020), 40-51.
JAMA Yaprak Ü, Şahinöz T, Şahinöz S. The Assessment of Turkey’s Exposure and Susceptibility to Disasters and Hazards with IDB Indicator System. Journal of International Health Sciences and Management. 2020;6:40–51.
MLA Yaprak, Ünal vd. “The Assessment of Turkey’s Exposure and Susceptibility to Disasters and Hazards With IDB Indicator System”. Journal of International Health Sciences and Management, c. 6, sy. 12, 2020, ss. 40-51.
Vancouver Yaprak Ü, Şahinöz T, Şahinöz S. The Assessment of Turkey’s Exposure and Susceptibility to Disasters and Hazards with IDB Indicator System. Journal of International Health Sciences and Management. 2020;6(12):40-51.