Seismic vulnerability assessment of school buildings in Tehran city based on AHP and GIS

Panahi, Mahdi; Rezaie, Fatemeh; Meshkani, S. A.

doi:10.5194/nhess-14-969-2014

Cited by 66 publications

(31 citation statements)

References 12 publications

(9 reference statements)

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“…Karimzadeh et al (2017) developed a GIS-oriented hybrid site condition map for an earthquake damage assessment, which is compatible with Iranian buildings, soil and geological parameters [19]. A combination of MCDM methods and GIS-representing capabilities is one of the most commonly applied techniques for building vulnerability assessments [22]. Grigoratos et al (2016) proposed simplified fragility and exposure models for Palestine, based on local field surveys and data collection.…”

Section: Preparation Of An Earthquake Environmentmentioning

confidence: 99%

Developing an Agent-Based Simulation System for Post-Earthquake Operations in Uncertainty Conditions: A Proposed Method for Collaboration among Agents

Hooshangi

Alesheikh

2018

IJGI

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Agent-based modeling is a promising approach for developing simulation tools for natural hazards in different areas, such as during urban search and rescue (USAR) operations. The present study aimed to develop a dynamic agent-based simulation model in post-earthquake USAR operations using geospatial information system and multi agent systems (GIS and MASs, respectively). We also propose an approach for dynamic task allocation and establishing collaboration among agents based on contract net protocol (CNP) and interval-based Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methods, which consider uncertainty in natural hazards information during agents' decision-making. The decision-making weights were calculated by analytic hierarchy process (AHP). In order to implement the system, earthquake environment was simulated and the damage of the buildings and a number of injuries were calculated in Tehran's District 3: 23%, 37%, 24% and 16% of buildings were in slight, moderate, extensive and completely vulnerable classes, respectively. The number of injured persons was calculated to be 17,238. Numerical results in 27 scenarios showed that the proposed method is more accurate than the CNP method in the terms of USAR operational time (at least 13% decrease) and the number of human fatalities (at least 9% decrease). In interval uncertainty analysis of our proposed simulated system, the lower and upper bounds of uncertain responses are evaluated. The overall results showed that considering uncertainty in task allocation can be a highly advantageous in the disaster environment. Such systems can be used to manage and prepare for natural hazards.

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Section: Preparation Of An Earthquake Environmentmentioning

confidence: 99%

Developing an Agent-Based Simulation System for Post-Earthquake Operations in Uncertainty Conditions: A Proposed Method for Collaboration among Agents

Hooshangi

Alesheikh

2018

IJGI

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“…Nowadays, the application of GIS is a growing trend and even a requirement for building damage estimation. GIS is widely used to manage and analyse disaster exposure data, which greatly improves the efficiency of use of such data (Mebarki et al, 2014;Panahi et al, 2014;Armenakis, 2013;Alam et al, 2013). The organization of the exposure data in a GIS has been found to significantly improved loss estimation speed and accuracy.…”

Section: Related Researchmentioning

confidence: 99%

A quick earthquake disaster loss assessment method supported by dasymetric data for emergency response in China

Xu¹,

An²,

Nie³

2016

Nat. Hazards Earth Syst. Sci.

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Abstract. Improving earthquake disaster loss estimation speed and accuracy is one of the key factors in effective earthquake response and rescue. The presentation of exposure data by applying a dasymetric map approach has good potential for addressing this issue. With the support of 30 × 30 areal exposure data (population and building data in China), this paper presents a new earthquake disaster loss estimation method for emergency response situations. This method has two phases: a pre-earthquake phase and a co-earthquake phase. In the pre-earthquake phase, we precalculate the earthquake loss related to different seismic intensities and store them in a 30 × 30 grid format, which has several stages: determining the earthquake loss calculation factor, gridding damage probability matrices, calculating building damage and calculating human losses. Then, in the co-earthquake phase, there are two stages of estimating loss: generating a theoretical isoseismal map to depict the spatial distribution of the seismic intensity field; then, using the seismic intensity field to extract statistics of losses from the pre-calculated estimation data. Thus, the final loss estimation results are obtained. The method is validated by four actual earthquakes that occurred in China. The method not only significantly improves the speed and accuracy of loss estimation but also provides the spatial distribution of the losses, which will be effective in aiding earthquake emergency response and rescue. Additionally, related pre-calculated earthquake loss estimation data in China could serve to provide disaster risk analysis before earthquakes occur. Currently, the precalculated loss estimation data and the two-phase estimation method are used by the China Earthquake Administration.

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“…Seismic hazard can be estimated by analyzing past earthquake activity in the region, evidence of stress-bearing capacity of structures within the fault area and how seismic waves travel through the crust and the overlying soils beneath the sites (Panahi et al, 2014). It is noted that at the time of an earthquake, in addition to PGA, the incidence of soil liquefaction and slope failure are the secondary phenomena which can increase seismic vulnerability and hence damage.…”

Section: Seismic Hazard Microzonation Of Kolkatamentioning

confidence: 99%

Seismic vulnerability and risk assessment of Kolkata City, India

Nath

Adhikari

Devaraj

et al. 2015

Nat. Hazards Earth Syst. Sci.

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Abstract. The city of Kolkata is one of the most urbanized and densely populated regions in the world and a major industrial and commercial hub of the eastern and northeastern region of India. In order to classify the seismic risk zones of Kolkata we used seismic hazard exposures on the vulnerability components, namely land use/land cover, population density, building typology, age and height. We microzoned seismic hazard of the city by integrating seismological, geological and geotechnical themes in GIS, which in turn are integrated with the vulnerability components in a logic-tree framework for the estimation of both the socioeconomic and structural risk of the city. In both the risk maps, three broad zones have been demarcated as "severe", "high" and "moderate". There had also been a risk-free zone in the city that is termed as "low". The damage distribution in the city due to the 1934 Bihar-Nepal earthquake of M w = 8.1 matches satisfactorily well with the demarcated risk regime. The design horizontal seismic coefficients for the city have been worked out for all the fundamental periods that indicate suitability for "A", "B" and "C" type of structures. The cumulative damage probabilities in terms of "none", "slight", "moderate", "extensive" and "complete" have also been assessed for the predominantly four model building types viz. RM2L, RM2M, URML and URMM for each seismic structural risk zone in the city. Both the seismic hazard and risk maps are expected to play vital roles in the earthquake-inflicted disaster mitigation and management of the city of Kolkata.

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Seismic vulnerability assessment of school buildings in Tehran city based on AHP and GIS

Cited by 66 publications

References 12 publications

Developing an Agent-Based Simulation System for Post-Earthquake Operations in Uncertainty Conditions: A Proposed Method for Collaboration among Agents

Developing an Agent-Based Simulation System for Post-Earthquake Operations in Uncertainty Conditions: A Proposed Method for Collaboration among Agents

A quick earthquake disaster loss assessment method supported by dasymetric data for emergency response in China

Seismic vulnerability and risk assessment of Kolkata City, India

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