Scenario-based earthquake hazard and risk assessment for Baku (Azerbaijan)

Abstract. A rapid growth of population, intensive civil and industrial building, land and water instabilities (e.g. landslides, significant underground water level fluctuations), and the lack of public awareness regarding seismic hazard contribute to the increase of vulnerability of Baku (the capital city of the Republic of Azerbaijan) to earthquakes. In this study, we assess an earthquake risk in the city determined as a convolution of seismic hazard (in terms of the surface peak ground acceleration, PGA), vulnerability (due to building construction fragility, population features, the gross domestic product per capita, and landslide's occurrence), and exposure of infrastructure and critical facilities. The earthquake risk assessment provides useful information to identify the factors influencing the risk. A deterministic seismic hazard for Baku is analysed for four earthquake scenarios: near, far, local, and extreme events. The seismic hazard models demonstrate the level of ground shaking in the city: PGA high values are predicted in the southern coastal and north-eastern parts of the city and in some parts of the downtown. The PGA attains its maximal values for the local and extreme earthquake scenarios. We show that the quality of buildings and the probability of their damage, the distribution of urban population, exposure, and the pattern of peak ground acceleration contribute to the seismic risk, meanwhile the vulnerability factors play a more prominent role for all earthquake scenarios. Our results can allow elaborating strategic countermeasure plans for the earthquake risk mitigation in the Baku city.

[1]  Kojiro Irikura,et al.  Advanced Seismic Hazard Assessment , 2011 .

[2]  Demitris Paradissis,et al.  GPS constraints on continental deformation in the Africa‐Arabia‐Eurasia continental collision zone and implications for the dynamics of plate interactions , 2005 .

[3]  James Jackson,et al.  Active tectonics of the South Caspian Basin , 2001 .

[4]  S. McClusky,et al.  SOME NEW DATA ON MODERN TECTONIC DEFORMATION AND ACTIVE FAULTING IN AZERBAIJAN (ACCORDING TO GLOBAL POSITIONING SYSTEM MEASUREMENTS) , 2008 .

[5]  C. Cornell Engineering seismic risk analysis , 1968 .

[6]  P. Tackley,et al.  Computational Methods for Geodynamics: Finite volume method , 2010 .

[7]  J.-U. Klügel,et al.  A Scenario-Based Procedure for Seismic Risk Analysis , 2006 .

[8]  Stephen M. Jones,et al.  Onset of subduction as the cause of rapid pliocene-quaternary subsidence in the South Caspian Basin. , 2002 .

[9]  S. McClusky,et al.  Preliminary estimates of plate convergence in the Caucasus Collision Zone from global positioning system measurements , 1997 .

[10]  P. B. Schnabel SHAKE-A Computer Program for Earthquake Response Analysis of Horizontally Layered Sites , 1970 .

[11]  I. M. Idriss,et al.  Seismic Response of Horizontal Soil Layers , 1968 .

[12]  Kuniyoshi Takeuchi,et al.  Preventive disaster management of extreme natural events , 2007 .

[13]  G. Papadopoulos,et al.  Earthquake Risk Assessment in Greece , 1996 .

[14]  G. Panza,et al.  Hot/Cold Spots in Italian Macroseismic Data , 2010, 1007.0634.

[15]  R. Bilham,et al.  Earthquake Loss Estimation for India Based on Macroeconomic Indicators , 2003 .