A GIS-based approach for earthquake loss estimation based on the immediate extraction of damaged buildings

Ranjbar, Hamid Reza; Dehghani, Hamid; Ardalan, Ali; Saradjian, Mohammad Reza

doi:10.1080/19475705.2016.1265013

Cited by 24 publications

(15 citation statements)

References 47 publications

(44 reference statements)

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“…A certain relationship also exists between the damaged areas of buildings and casualties. After an earthquake, buildings undergo vertical displacement as well as partial or overall parallel descent and collapse [8,17]. To assess the amount of physical damage in an earthquake disaster, in addition to assessing basically intact buildings, extracting information on severely damaged and generally damaged buildings is also necessary.…”

Section: Target Characteristics and Mechanism Analysis Of Earthquake-damaged Buildingsmentioning

confidence: 99%

Automatic Detection of Earthquake-Damaged Buildings by Integrating UAV Oblique Photography and Infrared Thermal Imaging

et al. 2020

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Extracting damage information of buildings after an earthquake is crucial for emergency rescue and loss assessment. Low-altitude remote sensing by unmanned aerial vehicles (UAVs) for emergency rescue has unique advantages. In this study, we establish a remote sensing information-extraction method that combines ultramicro oblique UAV and infrared thermal imaging technology to automatically detect the structural damage of buildings and cracks in external walls. The method consists of four parts: (1) 3D live-action modeling and building structure analysis based on ultramicro oblique images; (2) extraction of damage information of buildings; (3) detection of cracks in walls based on infrared thermal imaging; and (4) integration of detection systems for information of earthquake-damaged buildings. First, a 3D live-action building model is constructed. A multi-view structure image for segmentation can be obtained based on this method. Second, a method of extracting information on damage to building structures using a 3D live-action building model as the geographic reference is proposed. Damage information of the internal structure of the building can be obtained based on this method. Third, based on analyzing the temperature field distribution on the exterior walls of earthquake-damaged buildings, an automatic method of detecting cracks in the walls by using infrared thermal imaging is proposed. Finally, the damage information detection and assessment system is researched and developed, and the system is integrated. Taking earthquake search-and-rescue simulation as an example, the effectiveness of this method is verified. The damage distribution in the internal structure and external walls of buildings in this area is obtained with an accuracy of 78%.

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Section: Target Characteristics and Mechanism Analysis Of Earthquake-damaged Buildingsmentioning

confidence: 99%

Automatic Detection of Earthquake-Damaged Buildings by Integrating UAV Oblique Photography and Infrared Thermal Imaging

et al. 2020

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“…A geographic information system (GIS) is a computer system for capturing, storing, querying, analyzing, and displaying geographically referenced data; the ability of a GIS to handle and process geographically referenced data distinguishes GIS from other information systems [3]. Earthquake damage assessment models integrated into GIS platforms can directly output the results onto maps containing all the model results and the spatial distributions of the calculation results [4], [5].…”

Section: Introductionmentioning

confidence: 99%

GIS-Based Rapid Disaster Loss Assessment for Earthquakes

Zhang¹,

Yang²,

Cao

2019

IEEE Access

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Soon after an earthquake, the government should conduct a rapid assessment to determine the spatial distributions of the damages, including casualties, collapsed houses, infrastructures, and secondary disasters. The government can then allocate rescue teams and distribute rescue resources according to these factors. This paper introduces the process of rapid earthquake disaster assessment and describes the ioseismal attenuation model, damaged buildings model, economic losses model, and fatalities model. All the disaster loss assessment models are integrated into a geographic information system (GIS). Four earthquakes, for which adequate published records are available, are selected to examine the performance of the GIS-based rapid assessment in helping the government to perform emergency rescue work. The calculated results of the four selected earthquakes indicate that the intensities of the meizoseismal area and the affected area have the acceptable mean accuracies between 97.5% and 76.5%. The mean accuracies of the number of fatalities and direct economic losses are 66.1% and 54.2%, respectively, whereas the affected population, the number of damaged houses, and the number of injured people have relatively lower mean accuracies. Although the assessment results are not absolutely accurate, the spatial distribution of the results corresponds with the actual situation. INDEX TERMS GIS, earthquake rapid response, economic losses assessment, damaged buildings assessment, fatalities assessment.

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“…The methods used to determine the loss of life caused by earthquakes can be divided into two categories. In the first category, the empirical function is proposed based on the relationship between earthquake parameters and the number of casualties reported by historical data; In the second category, the research focuses on the relationship between building damage and the number of casualties [ 10 ], which is more accurate and reliable as building damage is main cause of earthquake casualties and injuries in China [ 11 , 12 ].…”

Section: Introductionmentioning

confidence: 99%

A Rapid Public Health Needs Assessment Framework for after Major Earthquakes Using High-Resolution Satellite Imagery

Zhao

Ding

Wang

et al. 2018

IJERPH

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Background: Earthquakes causing significant damage have occurred frequently in China, producing enormous health losses, damage to the environment and public health issues. Timely public health response is crucial to reduce mortality and morbidity and promote overall effectiveness of rescue efforts after a major earthquake. Methods: A rapid assessment framework was established based on GIS technology and high-resolution remote sensing images. A two-step casualties and injures estimation method was developed to evaluate health loss with great rapidity. Historical data and health resources information was reviewed to evaluate the damage condition of medical resources and public health issues. Results: The casualties and injures are estimated within a few hours after an earthquake. For the Wenchuan earthquake, which killed about 96,000 people and injured about 288,000, the estimation accuracy is about 77%. 242/294 (82.3%) of the medical existing institutions were severely damaged. About 40,000 tons of safe drinking water was needed every day to ensure basic living needs. The risk of water-borne and foodborne disease, respiratory and close contact transmission disease is high. For natural foci diseases, the high-risk area of schistosomiasis was mapped in Lushan County as an example. Finally, temporary settlements for victims of earthquake were mapped. Conclusions: High resolution Earth observation technology can provide a scientific basis for public health emergency management in the major disasters field, which will be of great significance in helping policy makers effectively improve health service ability and public health emergency management in prevention and control of infectious diseases and risk assessment.

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A GIS-based approach for earthquake loss estimation based on the immediate extraction of damaged buildings

Cited by 24 publications

References 47 publications

Automatic Detection of Earthquake-Damaged Buildings by Integrating UAV Oblique Photography and Infrared Thermal Imaging

Automatic Detection of Earthquake-Damaged Buildings by Integrating UAV Oblique Photography and Infrared Thermal Imaging

GIS-Based Rapid Disaster Loss Assessment for Earthquakes

A Rapid Public Health Needs Assessment Framework for after Major Earthquakes Using High-Resolution Satellite Imagery

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