Earthquake Simulation on Urban Areas: Improving Contingency Plans by Damage Assessment

2018 ◽  
pp. 72-83 ◽  
Author(s):  
Gregorio D’Agostino ◽  
Antonio Di Pietro ◽  
Sonia Giovinazzi ◽  
Luigi La Porta ◽  
Maurizio Pollino ◽  
...  
Keyword(s):  
Urban Areas ◽  
Damage Assessment ◽  
Earthquake Simulation ◽  
Contingency Plans

UNNECESSARILY NEGLECTED IN PLANNING: ILLUSTRATION OF A PRACTICAL APPROACH TO IDENTIFY HUMAN DIMENSION IMPACTS OF MARINE OIL SPILLS

2012 ◽  
Vol 14 (02) ◽  
pp. 1250012 ◽  
Author(s):  
FABIENNE LORD ◽  
SETH TULER ◽  
THOMAS WEBLER ◽  
KIRSTIN DOW
Keyword(s):  
Emergency Response ◽  
Oil Spill ◽  
Damage Assessment ◽  
Oil Spills ◽  
Social Systems ◽  
Human Dimensions ◽  
Contingency Planning ◽  
Human Dimension ◽  
Contingency Plans ◽  
Negative Impacts

Technological hazards research, including that on oil spills and their aftermath, is giving greater attention to human dimension impacts resulting from events and response. While oil spill contingency planners recognize the importance of human dimension impacts, little systematic attention is given to them in contingency plans. We introduce an approach to identifying human dimensions impacts using concepts from hazard and vulnerability assessment and apply it to the Bouchard-120 oil spill in Buzzards Bay, MA. Our assessment covers the spill, emergency response, clean-up, damage assessment, and mid-term recovery. This approach, while still exploratory, did demonstrate that the spill produced a range of positive and negative impacts on people and institutions and that these were mediated by vulnerabilities. We suggest ways in which the framework may help spill managers to learn from events and improve contingency planning by anticipating risks to social systems and identifying strategies to reduce impacts.

Damage assessment mapping of rural environments; integration of SAR and Optical data

2021 ◽  
Author(s):  
Shiran Havivi ◽  
Stanley R. Rotman ◽  
Dan G. Blumberg ◽  
Shimrit Maman
Keyword(s):  
Natural Disaster ◽  
Rural Areas ◽  
Urban Areas ◽  
Damage Assessment ◽  
Vegetation Index ◽  
Urban Environments ◽  
Optical Data ◽  
Damage Level ◽  
Rural Environments ◽  
Rural And Urban

<p>The damage caused by a natural disaster in rural areas differs in nature, extent, landscape and in structure, from the damage in urban environments. Previous and current studies focus mainly on mapping damaged structures in urban areas after catastrophe events such as an earthquake or tsunami. Yet, research focusing on the damage level or its distribution in rural areas is absent. In order to apply an emergency response and for effective disaster management, it is necessary to understand and characterize the nature of the damage in each different environment. </p><p>Havivi et al. (2018), published a damage assessment algorithm that makes use of SAR images combined with optical data, for rapid mapping and compiling a damage assessment map following a natural disaster. The affected areas are analyzed using interferometric SAR (InSAR) coherence. To overcome the loss of coherence caused by changes in vegetation, optical images are used to produce a mask by computing the Normalized Difference Vegetation Index (NDVI) and removing the vegetated area from the scene. Due to the differences in geomorphological settings and landuse\landcover between rural and urban settlements, the above algorithm is modified and adjusted by inserting the Modified Normalized Difference Water Index (MNDWI) to better suit rural environments and their unique response after a disaster. MNDWI is used for detection, identification and extraction of waterbodies (such as irrigation canals, streams, rivers, lakes, etc.), allowing their removal which causes lack of coherence at the post stage of the event. Furthermore, it is used as an indicator for highlighting prone regions that might be severely affected pre disaster event. Thresholds are determined for the co-event coherence map (≤ 0.5), the NDVI (≥ 0.4) and the MNDWI (≥ 0), and the three layers are combined into one. Based on the combined map, a damage assessment map is generated. </p><p>As a case study, this algorithm was applied to the areas affected by multi-hazard event, following the Sulawesi earthquake and subsequent tsunami in Palu, Indonesia, which occurred on September 28th, 2018. High-resolution COSMO-SkyMed images pre and post the event, alongside a Sentinel-2 image pre- event are used as inputs. The output damage assessment map provides a quantitative assessment and spatial distribution of the damage in both the rural and urban environments. The results highlight the applicability of the algorithm for a variety of disaster events and sensors. In addition, the results enhance the contribution of the water component to the analysis pre and post the event in rural areas. Thus, while in urban regions the spatial extent of the damage will occur in its proximity to the coastline or the fault, rural regions, even in significant distance will experience extensive damage due secondary hazards as liquefaction processes.     </p>

scholarly journals Methodology for the damage assessment of vehicles exposed to flooding in urban areas

2018 ◽  
Vol 12 (3) ◽  
pp. e12475 ◽  
Author(s):  
Eduardo Martínez-Gomariz ◽  
Manuel Gómez ◽  
Beniamino Russo ◽  
Pablo Sánchez ◽  
Josep-Anton Montes
Keyword(s):  
Urban Areas ◽  
Damage Assessment

ENHANCEMENT OF INTEGRATED EARTHQUAKE SIMULATION WITH HIGH-PERFORMANCE COMPUTING

2011 ◽  
Vol 05 (03) ◽  
pp. 271-282 ◽  
Author(s):  
M. HORI ◽  
G. SOBHANINEJAD ◽  
T. ICHIMURA ◽  
M. LALITH
Keyword(s):  
High Performance Computing ◽  
Urban Areas ◽  
Numerical Experiments ◽  
High Performance ◽  
Earthquake Hazard ◽  
Hazard Map ◽  
Earthquake Simulation ◽  
Earthquake Damages ◽  
Performance Computing ◽  
Integrated Earthquake Simulation

Integrated earthquake simulation (IES) is a system to estimate possible earthquake hazard and disaster which can take place in an urban area by means of seamless numerical computation. High-performance computing (HPC) is enhanced so that IES is able to simulate a larger area in a shorter time, by improving the system architecture and adding new elements which smoothens the system's efficiency. It is shown in numerical experiments (which are carried out for actual urban areas) that the performance of IES enhanced with HPC is satisfactory. A new system is developed to generate a hazard map which depicts earthquake damages in higher spatial resolution by taking advantage of IES enhanced with HPC. It is shown that such maps can be generated for Tokyo metropolis in half a day.

scholarly journals Earthquake/Tsunami Damage Assessment for Urban Areas Using Post-Event PolSAR Data

2018 ◽  
Vol 10 (7) ◽  
pp. 1088 ◽  
Author(s):  
Yaqi Ji ◽  
Josaphat Sri Sumantyo ◽  
Ming Chua ◽  
Mirza Waqar
Keyword(s):  
Urban Areas ◽  
Damage Assessment ◽  
Tsunami Damage

scholarly journals Comparison of Pre-Event VHR Optical Data and Post-Event PolSAR Data to Investigate Damage Caused by the 2011 Japan Tsunami in Built-Up Areas

2018 ◽  
Vol 10 (11) ◽  
pp. 1804 ◽  
Author(s):  
Minyoung Jung ◽  
Junho Yeom ◽  
Yongil Kim
Keyword(s):  
Urban Areas ◽  
Damage Assessment ◽  
Optical Data ◽  
Alos Palsar ◽  
Physical Relationship ◽  
Level Indicator ◽  
Damage Level ◽  
2011 Japan Tsunami ◽  
The Difference ◽  
Post Disaster

Combining pre-disaster optical and post-disaster synthetic aperture radar (SAR) satellite data is essential for the timely damage investigation because the availability of data in a disaster area is usually limited. This article proposes a novel method to assess damage in urban areas by analyzing combined pre-disaster very high resolution (VHR) optical data and post-disaster polarimetric SAR (PolSAR) data, which has rarely been used in previous research because the two data have extremely different characteristics. To overcome these differences and effectively compare VHR optical data and PolSAR data, a technique to simulate polarization orientation angles (POAs) in built-up areas was developed using building orientations extracted from VHR optical data. The POA is an intrinsic parameter of PolSAR data and has a physical relationship with building orientation. A damage level indicator was also proposed, based on the consideration of diminished homogeneity of POA values by damaged buildings. The indicator is the difference between directional dispersions of the pre and post-disaster POA values. Damage assessment in urban areas was conducted by using the indicator calculated with the simulated pre-disaster POAs from VHR optical data and the derived post-disaster PolSAR POAs. The proposed method was validated on the case study of the 2011 tsunami in Japan using pre-disaster KOMPSAT-2 data and post-disaster ALOS/PALSAR-1 data. The experimental results demonstrated that the proposed method accurately simulated the POAs with a root mean square error (RMSE) value of 2.761° and successfully measured the level of damage in built-up areas. The proposed method can facilitate efficient and fast damage assessment in built-up areas by comparing pre-disaster VHR optical data and post-disaster PolSAR data.

Using Social Media and Satellite Data for Damage Assessment in Urban Areas During Emergencies

2016 ◽  
pp. 443-457 ◽  
Author(s):  
Guido Cervone ◽  
Emily Schnebele ◽  
Nigel Waters ◽  
Martina Moccaldi ◽  
Rosa Sicignano
Keyword(s):  
Social Media ◽  
Satellite Data ◽  
Urban Areas ◽  
Damage Assessment

scholarly journals Advanced DInSAR analysis for building damage assessment in large urban areas: an application to the city of Roma, Italy

2015 ◽  
Author(s):  
Peppe J. V. D'Aranno ◽  
Maria Marsella ◽  
Silvia Scifoni ◽  
Marianna Scutti ◽  
Alberico Sonnessa ◽  
...  
Keyword(s):  
Urban Areas ◽  
Damage Assessment ◽  
Building Damage ◽  
The City

An interdisciplinary approach to landslide damage assessment in urban areas

2021 ◽  
Author(s):  
Fabrizio Palmisano ◽  
Claudia Vitone ◽  
Federica Cotecchia ◽  
Francesca Santaloia ◽  
Dario Peduto ◽  
...  
Keyword(s):  
Urban Areas ◽  
Damage Assessment ◽  
Structural Response ◽  
Interdisciplinary Approach ◽  
Multidisciplinary Research ◽  
Non Invasive ◽  
Damage Grade ◽  
Landslide Damage ◽  
Multi Level ◽  
Remote Sensing Techniques

<p>This paper presents some results of a multidisciplinary research about the assessment of damages to ordinary buildings at the urban scale in landslide areas. The methodology represents part of a multi-level approach for landslide vulnerability assessment that has been recently developed. It is based on rapid visual inspections of the buildings, the application of ‘simple models’ to interpret the structural response, the geological and geotechnical knowledge of the site. The end-product is the landslide damage geotechnical chart, including: i) the damage grade of the buildings, ii) the geomorphological and geotechnical map of the area, iii) the direction of the settlements causing damages. The application of the methodology to an historical site in southern Italy is also outlined. Finally, the contribution of innovative non-invasive spaceborne remote sensing techniques to monitor landslide-affected urban areas is highlighted.</p>

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