MAEviz: Bridging the Time-from-Discovery Gap between Seismic Research and Decision Making

Hampton, Shawn; Lee, Jong; Tolbert, Nathan; McLaren, Terry; Navarro, Christopher M.; Myers, James D.; Spencer, B. F.; Elnashai, Amr S.

doi:10.1109/escience.2008.144

Cited by 2 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Geographical Information Systems(GIS) consist of a powerfuland general-purpose computational tool with many applications in complex and multidisciplinary topics.In recent years, there has beensignificant progressin GIS-based seismic hazard and risk models [1][2][3]. Some models deal with the implementation of emergency support systems [4][5][6][7], and others involve the development of seismic information systems or databases to reduce potential risks [8][9][10][11][12]. Within urban centers, seismic vulnerability analysis focuses primarily on the structural, geotechnical, and spatial information of buildings that can be directly related to potential human and financial losses during an earthquake.…”

Section: Introductionmentioning

confidence: 99%

Seismic Risk Assessment of Chania, Greece, Using an Integrated Computational Approach

et al. 2021

View full text Add to dashboard Cite

This study develops a comprehensive seismic risk model for the city of Chania, in Greece, which is located ina highly seismic-prone region due to the occurrenceof moderate to large earthquakes because of the nearby major subduction zone between African and Eurasian tectonic plates. The main aim is to reduce the seismic risk for the study area by incorporating the spatial distribution of the near-surface shear wave velocity model and the soil classification, along with all possible seismic sources, taking into account historical events. The study incorporates and correlates various ground motion scenarios and geological fault zones as well as information on existing buildings to develop a seismic risk model using QuakeIST software, and then the seismic hazard and a realistic prediction of resulting future adverse effects are assessed. The developed model can assist the municipal authorities of Chania to be prepared for potential seismic events, as well as city planners and decisionmakers, who can use the model as an effective decision-making tool to identify the seismic vulnerability of the city buildings and infrastructure. Thus, this study enables the implementation of an appropriate and viable earthquake-related hazards strategy to mitigate damage and losses in future earthquakes.

show abstract

Section: Introductionmentioning

confidence: 99%

Seismic Risk Assessment of Chania, Greece, Using an Integrated Computational Approach

et al. 2021

View full text Add to dashboard Cite

show abstract

Earthquake Vulnerability Zonation of Mashhad Urban Fabric by Combining the Quantitative Models in GIS, Northeast of Iran

Daneshvar¹

2013

IJEPP

View full text Add to dashboard Cite

Abstract:In this study, we determined vulnerability levels of urban fabrics against earthquake risk using spatial factors.Therefore to classify risk vulnerability zones of the Mashhad urban fabric we used parameters such as ratio of open spaces, size of lands differentiation, population density, occupied area by buildings, age of buildings, deteriorated urban fabrics, proximity to faults, and seismic grading. These parameters are derived based on Mashhad municipality districts then weighted by Analytic Hierarchy Process (AHP) and combined by the Standard Score Model in geographic information system (GIS). The results indicated that: first, the central district and districts of eight, three and four in Mashhad have the most fabric vulnerability against earthquakes, respectively. Second, the urban texture of municipal districts containing districts of nine, seven, six and ten have less vulnerability against earthquakes, respectively. Third, the parameters analysis using AHP exhibited the weighty value for lands differentiation parameter while, the correlation test revealed that the strong correlation between deteriorated urban fabrics and the final zoning map (R 2 equal to 0.75).

show abstract

MAEviz: Bridging the Time-from-Discovery Gap between Seismic Research and Decision Making

Cited by 2 publications

References 0 publications

Seismic Risk Assessment of Chania, Greece, Using an Integrated Computational Approach

Seismic Risk Assessment of Chania, Greece, Using an Integrated Computational Approach

Earthquake Vulnerability Zonation of Mashhad Urban Fabric by Combining the Quantitative Models in GIS, Northeast of Iran

Contact Info

Product

Resources

About