JRA 3 – Developing Rapid Shake-map and Loss Estimation Capacity
Transcription
JRA 3 – Developing Rapid Shake-map and Loss Estimation Capacity
Insurance Practitioners Association (STD) 1st International İstanbul Insurance Conference Modeling of Earthquake Risk M.Erdik Boğaziçi University, İstanbul Earthquake Risk Assets may be people, property, profits, or other things of value. Loss is the reduction in value of an asset due to damage. Loss is measured in many ways, such as the ratio of of fatalities to total population, repair cost ratio, etc. Risk is the uncertainty of loss. Risk or Loss estimation is the quantification of the earthquake loss, and is a basic first step in managing earthquake risk. Earthquake Effects – faulting, shaking intensity, liquefaction, tsunami… Built Environment – buildings, industry, infrastructure… Human Environment – People, organizations, institutions, cultural heritage, finances… Loss – human injury, cost or repairs, business interruption, social disruption… Agents of Damage tsunami landslide shaking liquefaction faulting fire faulting Seismic Vulnerability Two approaches: Detailed engineering model F = [K] X Sa % damage Statistical approach MMI PAST EARTHQUAKES FUTURE EARTHQUAKES ? Waiting Time=50 years Waiting Time=5 years RENEWAL (Time Dependent) MODEL HOW WILL THE FAULT RUPTURE ? İSTANBUL EARTHQUAKE RISK ASSESSMENT Boğaziçi Üniversitesi (BU-ARC, 2002) ve Oyo International (JICA – IMM, 2003) tarafından yapılmış genel kapsamlı çalışmalar İstanbul’daki deprem riski hakkında bilgi sağlamış ve “İstanbul Deprem Masterplanı”nın hazırlamasına önayak olmuştur. Risk Belirlemeleri AB 6.ÇP LessLoss, NERIES, SAFER ve TRANSFER Projeleri ve DPT/TÜBİTAK/İBB HazTürk Projesi kapsamında geliştirilmiştir. İSTANBUL DEPREM KAYIP SENARYOSU GÜNCELLEME ÇALIŞMALARI (İBB) TSUNAMİ TEHLİKESİ İstanbul Büyükşehir Belediyesi adına Oyo International Corp. tarafından yapılan İstanbul tsunami tehlikesi çalışmaları İstanbul’da1894 ve 1509 depremlerinde dalga yükselmesinin sırasıyla 3-4 ve 6 m’yi bulduğu işaret edilmiştir. Sualtı yerkaymalarından kaynaklanan tsunamiler daha lokalize, fakat daha yüksek dalgaların meydana gelmesine sebep olabilmektedir. Probabilistik Tsunami Dalgası Yüksekliği (10% / 50 Yıl) TSUNAMİ RİSKİ: ETKİLENECEK BİNALAR TOOL OF TRADE: EU NERIES Project: ELER Istanbul Scenario Shakemap - Sesetyan Intensity (M=7.5) RISK-UE Building Typology Matrix Typology M1 M1.1 M1.2 M1.3 M2 M3 M3.1 M3.2 M3.3 M3.4 M4 M5 RC1 RC2 RC3 RC3.1 RC3.2 RC4 RC5 RC6 S1 S2 S3 S4 S5 W Description Stone Masonry Bearing Walls made of... Rubble stone, fieldstone Simple stone Massive stone Adobe Unreinforced masonry Bearing walls with... Masonry with Wooden slabs Masonry vaults Composite steel and masonry slabs Reinforced concrete slabs Reinforced or confined masonry walls Overall strengthened Concrete Moment Frames Concrete shear walls Concrete frames with unreinforced masonry infill walls Regularly infilled walls Irregularly infilled walls RC Dual systems (RC frame and wall) Precast Concrete Tilt-Up Walls Precast C. Frames, C. shear walls Steel Moment Frames Steel braced Frames Steel frame+unreinf. mas. infill walls Steel frame+cast-in-place shear walls Steel and RC composite system Wood structures Model Building Types of HAZUS-1999 Vulnerability Index Min Mean Max 0.62 0.46 0.3 0.62 0.873 0.74 0.616 0.84 1.02 1.02 0.86 1.02 0.46 0.46 0.46 0.3 0.14 0.3 -0.02 -0.02 0.74 0.776 0.704 0.616 0.451 0.694 0.442 0.386 1.02 1.02 1.02 0.86 0.7 1.02 1.02 0.86 -0.02 0.06 -0.02 0.14 0.3 -0.02 -0.02 0.14 -0.02 -0.02 0.14 0.402 0.522 0.386 0.384 0.544 0.363 0.287 0.484 0.224 0.402 0.447 0.98 1.02 0.86 0.7 0.86 0.86 0.7 0.86 0.54 1.02 0.86 “Spectral Capacity” Based Analytical Vulnerabilities EARTHQUAKE LOSS ESTIMATION FOR ISTANBUL The "Credible Worst Case" Scenario event: Mw=7.5 (similar to 1999 Kocaeli Earthquake in magnitude and in total rupture length) on the fault segments 5, 6, 7 and 8. DISTRIBUTION OF DAMAGED BUILDINGS DISTRIBUTION OF CASUALITIES ISTANBUL TESTBED EXERCISE COMPARISON OF LOSS RESULTS (Strasser, 2008) Contributors A damage estimation exercise has been carried out using the building stock inventory and population database of the Istanbul Metropolitan Municipality and selected European earthquake loss estimation methodologies: KOERILOSS, SELENA, ESCENARIS, SIGE and DBELA. Imperial College London Fleur STRASSER Julian BOMMER Conrad LINDHOLM with acknowledgements to: with acknowledgements to: Peter Stafford Sergio Molina-Palacios Dominik Lang ROSE School EUCENTRE KOERI Bogazici University Ihsan Engin BAL Helen CROWLEY Mustafa ERDIK Zehra CAGNAN Karin SESETYAN with acknowledgements to: Rui Pinho Institut Geologic de Catalunya Janira IRIZZARY Xavier GOULA with acknowledgements to: Nuria ROMEU with acknowledgements to: Dipartamento di Protezione Civile Antonio LUCANTONI Fabio SABETTA with acknowledgements to: Filomena Papa Rachele Ferlito Mine Betul Demircioglu Can Zulfikar Eser Durukal Istanbul Annual Probability of Occurrence of a Mw>7.2 Earthquake about 1.5-2%. About 1/8 of Nation’s Total Population About 50% of the Nation’s Industrial Potential About 800.000 Buildings within the City The Penetration of the Compulsory Earthquake Insurance About 33 % as of 2009. Building Stock Inventory Cell based Type of structure Number of stories Construction date Building Density Distribution of buildings with complete damage Expected losses in Istanbul Probabilistic Building Losses Scenario Earthquake 72 Yrs Return Prd 100 Yrs Return Prd 224 Yrs Return Prd 475 Yrs Return Prd 2475 Yrs Return Prd SD-1 0,16 0,15 0,17 0,23 0,27 0,38 Median Loss 0,28 0,25 0,30 0,37 0,43 0,57 SD+1 0,38 0,35 0,40 0,49 0,55 0,68 Building Losses EMME: Earthquake Model for the Middle East, JTI Supported SHARE: Seismic Hazard Harmonization for Europe, EU FP7 GLOBAL EARTHQUAKE MODEL PROJECT