Academic literature on the topic 'Volcanic hazard analysis – Japan'
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Journal articles on the topic "Volcanic hazard analysis – Japan"
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Nakada, Setsuya, Yousuke Miyagi, Tomohiro Kubo, and Eisuke Fujita. "Conveying Volcano Information Effectively to Stakeholders – A New Project for Promotion of Next Generation Volcano Research." Journal of Disaster Research 14, no. 4 (June 1, 2019): 623–29. http://dx.doi.org/10.20965/jdr.2019.p0623.
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A new program for the Next Generation Volcano Research and Human Resource Development started in 2016, following the government’s analysis of a volcanic disaster at Mount Ontake in 2014. One of its important purposes is the development of a technology that can provide visualized information of imminent volcanic hazards to the stakeholders. The latter include researchers in the Volcano Disaster Prevention Councils. Since the volcanic activity in Japan has been relatively less in the past few hundred years, larger eruptions are certainly expected to occur in the near future. Volcanic risk management has developed in Japan independently of university or institutional research, and by a national law, researchers are not allowed to officially forecast imminent volcanic eruptions. In the case of large eruptions never being observed, a close communication between the Japan Meteorological Agency and researchers becomes very important. Our project goal is issuing effective information on real-time observational and hazard mitigation simulation data to the stakeholders and researchers. Based on our inspection and interviews we develop information tools using which the above data are provided effectively and the dissemination and education of volcanic disasters are performed.
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Nakamura, Yoichi, Kazuyoshi Fukushima, Xinghai Jin, Motoo Ukawa Teruko Sato, and Yayoi Hotta. "Mitigation Systems by Hazard Maps, Mitigation Plans, and Risk Analyses Regarding Volcanic Disasters in Japan." Journal of Disaster Research 3, no. 4 (August 1, 2008): 297–304. http://dx.doi.org/10.20965/jdr.2008.p0297.
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More than 60 volcanic hazard maps have been published on 38 of Japan’s 108 active volcanoes. Two maps were published before 1990, 17 after the 1991 eruptions of Unzen, and 19 after the 2000 eruptions of Usuzan and Miyakejima. Large eruptions greatly increase concern over volcanic hazards. The earlier academic maps themselves have changed from being specialist-oriented to being designed to be more easily understood with volcanic terms clearly explained. This is especially true of revised maps. The 1961 Disaster Countermeasures Basic Act directs that local disaster management plans be promoted by local governments, but only 5 of the local governments in the 25 prefectures neighboring on active volcanoes have set up established specific volcano-oriented antidisaster programs. Others mention volcanic disaster measures in the context of general or storm and flood disaster measures, and another six make no mention of particular measures for volcanic disasters. This lack of concern is somewhat understandably related to budget policies, but real-time hazard maps with probability tree algorithms for forecasting volcanic events are needed to manage potential volcanic disasters effectively. For this purpose, volcanic disaster measures with volcanic risk, or threat analyses assessments must be completed, but no local governments have yet conducted assessments of volcanic risk analyses. Whatever and however complex the reasons, local governments should, cooperating with volcanologists and supported by local residents, take action before an eruption next occurs.
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Ohba, Tsukasa. "Case study and event analysis for mitigation of unpredictable volcanic hazard." Impact 2020, no. 3 (May 13, 2020): 26–28. http://dx.doi.org/10.21820/23987073.2020.3.26.
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Volcanology is an extremely important scientific discipline. Shedding light on how and why volcanoes erupt, how eruptions can be predicted and their impact on humans and the environment is crucial to public safety, economies and businesses. Understanding volcanoes means eruptions can be anticipated and at-risk communities can be forewarned, enabling them to implement mitigation measures. Professor Tsukasa Ohba is a scientist based at the Graduate School of International Resource Studies, Akita University, Japan, and specialises in volcanology and petrology. Ohba and his team are focusing on volcanic phenomena including: phreatic eruptions (a steam-driven eruption driven by the heat from magma interacting with water); lahar (volcanic mudflow); and monogenetic basalt eruptions (which consist of a group of small monogenetic volcanoes, each of which erupts only once). The researchers are working to understand the mechanisms of these phenomena using Petrology. Petrology is one of the traditional methods in volcanology but has not been applied to disastrous eruptions before. The teams research will contribute to volcanic hazard mitigation.
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Ohba, Tsukasa, Shintaro Hayashi, Masao Ban, Takumi Imura, Yusuke Minami, and Masahiro Endo. "Late Holocene Tephrostratigraphy at Chokai Volcano, Northern Japan, and Contribution to Hazard Assessment." Journal of Disaster Research 17, no. 5 (August 1, 2022): 724–35. http://dx.doi.org/10.20965/jdr.2022.p0724.
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History and pattern of explosive eruptions at Chokai volcano, Japan, in the last 2500 years were investigated from tephra survey and accelerator mass spectrometry (AMS) radiocarbon dating. The tephrostratigraphy was established based on observations at eight hand-dug trenches and three outcrops. The well-correlated tephra layers were dated at c. 2.5 ka, 2.1–1.9 ka, 1.8 ka, and 1.6 ka, indicating major eruptions occurred at these ages. The tephra from the documented 871 CE eruption was also identified. Componentry analysis of ash was carried out for these five eruption deposits. The changes in tephra facies and ash components within an unbroken series of tephra layers indicate a shift from hydrothermal-dominant phreatic or phreatomagmatic eruption to magma-dominant eruptions in a single episode. Common eruption sequences were identified based on the combination of tephra facies variation and records of witnessed eruptions. Every volcanic activity begins with precursory activity of seismicity, fumaroles, and snow melting for weeks to months, then onset hydrothermal-dominant eruption happens. Then, the eruption evolves to a magma-dominant eruption, or alternatively, the hydrothermal-dominant eruption persistently continues until cessation. The eruption sizes are VEI 2 or more minor. Lahar can occur at any stage of the eruption, resulting in damage to the residential area at the base of the volcano. The eruption patterns and the extent of hazard risks elucidated by this study will be utilized to hazard mitigation plans.
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Cigna, Francesca, Deodato Tapete, and Zhong Lu. "Remote Sensing of Volcanic Processes and Risk." Remote Sensing 12, no. 16 (August 10, 2020): 2567. http://dx.doi.org/10.3390/rs12162567.
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Remote sensing data and methods are increasingly being embedded into assessments of volcanic processes and risk. This happens thanks to their capability to provide a spectrum of observation and measurement opportunities to accurately sense the dynamics, magnitude, frequency, and impacts of volcanic activity in the ultraviolet (UV), visible (VIS), infrared (IR), and microwave domains. Launched in mid-2018, the Special Issue “Remote Sensing of Volcanic Processes and Risk” of Remote Sensing gathers 19 research papers on the use of satellite, aerial, and ground-based remote sensing to detect thermal features and anomalies, investigate lava and pyroclastic flows, predict the flow path of lahars, measure gas emissions and plumes, and estimate ground deformation. The strong multi-disciplinary character of the approaches employed for volcano monitoring and the combination of a variety of sensor types, platforms, and methods that come out from the papers testify the current scientific and technology trends toward multi-data and multi-sensor monitoring solutions. The research advances presented in the published papers are achieved thanks to a wealth of data including but not limited to the following: thermal IR from satellite missions (e.g., MODIS, VIIRS, AVHRR, Landsat-8, Sentinel-2, ASTER, TET-1) and ground-based stations (e.g., FLIR cameras); digital elevation/surface models from airborne sensors (e.g., Light Detection And Ranging (LiDAR), or 3D laser scans) and satellite imagery (e.g., tri-stereo Pléiades, SPOT-6/7, PlanetScope); airborne hyperspectral surveys; geophysics (e.g., ground-penetrating radar, electromagnetic induction, magnetic survey); ground-based acoustic infrasound; ground-based scanning UV spectrometers; and ground-based and satellite Synthetic Aperture Radar (SAR) imaging (e.g., TerraSAR-X, Sentinel-1, Radarsat-2). Data processing approaches and methods include change detection, offset tracking, Interferometric SAR (InSAR), photogrammetry, hotspots and anomalies detection, neural networks, numerical modeling, inversion modeling, wavelet transforms, and image segmentation. Some authors also share codes for automated data analysis and demonstrate methods for post-processing standard products that are made available for end users, and which are expected to stimulate the research community to exploit them in other volcanological application contexts. The geographic breath is global, with case studies in Chile, Peru, Ecuador, Guatemala, Mexico, Hawai’i, Alaska, Kamchatka, Japan, Indonesia, Vanuatu, Réunion Island, Ethiopia, Canary Islands, Greece, Italy, and Iceland. The added value of the published research lies on the demonstration of the benefits that these remote sensing technologies have brought to knowledge of volcanoes that pose risk to local communities; back-analysis and critical revision of recent volcanic eruptions and unrest periods; and improvement of modeling and prediction methods. Therefore, this Special Issue provides not only a collection of forefront research in remote sensing applied to volcanology, but also a selection of case studies proving the societal impact that this scientific discipline can potentially generate on volcanic hazard and risk management.
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Pérez-Guillén, Cristina, Kae Tsunematsu, Kouichi Nishimura, and Dieter Issler. "Seismic location and tracking of snow avalanches and slush flows on Mt. Fuji, Japan." Earth Surface Dynamics 7, no. 4 (October 25, 2019): 989–1007. http://dx.doi.org/10.5194/esurf-7-989-2019.
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Abstract. Avalanches are often released at the dormant stratovolcano Mt. Fuji, which is the highest mountain of Japan (3776 m a.s.l.). These avalanches exhibit different flow types from dry-snow avalanches in winter to slush flows triggered by heavy rainfall in late winter to early spring. Avalanches from different flanks represent a major natural hazard as they can reach large dimensions with run-out distances up to 4 km, destroy parts of the forest, and sometimes damage infrastructure. To monitor the volcanic activity of Mt. Fuji, a permanent and dense seismic network is installed around the volcano. The small distance between the seismic sensors and the volcano flank (<10 km) allowed us to detect numerous avalanche events from the seismic recordings and locate them in time and space. We present the detailed analysis of three avalanche or slush flow periods in the winters of 2014, 2016, and 2018. The largest events (size class 4–5) are detected by the seismic network at maximum distances of about 15 km, and medium-size events (size class 3–4) within a radius of 9 km. To localize the seismic events, we used the automated approach of amplitude source location (ASL) based on the decay of the seismic amplitudes with distance from the moving flow. The recorded amplitudes at each station have to be corrected by the site amplification factors, which are estimated by the coda method using data from local earthquakes. Our results show the feasibility of tracking the flow path of avalanches and slush flows with considerable precision (on the order of magnitude of 100 m) and thus estimating information such as the approximate run-out distance and the average front speed of the flows, which are usually poorly known. To estimate the precision of the seismic tracking, we analyzed aerial photos of the release area and determined the flow path and run-out distance, estimated the release volume from the meteorological records, and conducted numerical simulations with Titan2D to reconstruct the dynamics of the flow. The precision as a function of time is deduced from the comparison with the numerical simulations, showing mean location errors ranging between 85 and 271 m. The average front speeds estimated seismically, which ranged from 27 to 51 m s−1, are consistent with the numerically predicted speeds. In addition, we deduced two scaling relationships based on seismic parameters to quantify the size of the mass flow events. Our results are indispensable for assessing avalanche risk in the Mt. Fuji region as seismic records are often the only available dataset for this natural hazard. The approach presented here could be applied in the development of an early-detection and location system for avalanches based on seismic sensors.
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Inoue, Hiroshi, Renato U. Solidum, and Jr. "Special Issue on Enhancement of Earthquake and Volcano Monitoring and Effective Utilization of Disaster Mitigation Information in the Philippines." Journal of Disaster Research 10, no. 1 (February 1, 2015): 5–7. http://dx.doi.org/10.20965/jdr.2015.p0005.
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This special issue of JDR features 18 papers and reports on an international 2010 to 2015 cooperative project entitled gEnhancement of Earthquake and Volcano Monitoring and Effective Utilization of Disaster Mitigation Information in the Philippines.h This project is being conducted under the SATREPS program (Science and Technology Research Partnership for Sustainable Development), cosponsored by the JST (Japan Science and Technology Agency) and JICA (Japan International Cooperation Agency). The Philippines is one of the worldfs most earthquake and volcano disaster-prone countries because it is located along the active boundary between the Philippine Sea Plate and Eurasian Plate. Collisions by the two plates generate plate subductions and crustal stress that generates earthquakes and volcanic activities on the archipelago. The Philippines has experienced numerous disastrous earthquakes, the most recent being the 1990 M7.8 Luzon earthquake, which killed over 1,000 local residents. A damaging earthquake also occurred during this 5-year project, in October 2013, on Bohol Island, causing about 200 deaths when houses and other buildings collapsed. Volcanoes are another major killer in the Philippines. The largest in the last century was when the Taal volcano erupted in 1911, killing 1,300 by a base surge. The 1991 Mt. Pinatubo eruption is known as the largest volcanic event in the 20th century. The Mayon volcano is also known to be a beautiful but dangerous volcano that frequently erupts, causing lahars ? steaming moving fluid masses of volcanic debris and water ? that damaged villages at the foot of the mountain. The PHIVOLCS (Philippine Institute of Volcanology and Seismology), a governmental agency mandated to monitor earthquakes and volcanoes, provides earthquake and volcano information and alerts to the public. It also conducts research on the mechanisms behind such natural phenomena and on evaluating such hazards and risks. The PHIVOLCSfs other mission is educating people and society on being prepared for disasters. Earthquake and volcano bulletins and alerts, research output, and educational materials and training provided by PHIVOLCS have enriched knowledge and enhanced measures against disaster. The primary target of this SATREPS project is to enhance existing monitoring networks, whose equipment has been provided by Japanese ODA (Official Development Aid). Through the SATREPS project, we have introduced the latest technology to provide the public with more accurate information more quickly. This project also promotes research for deepening the understanding of earthquakes and volcano activities in better assessing hazard and risk. Project components, tasks, and main Japanese organizations are as follows: 1) Earthquake and tsunami monitoring, NIED 1-1) Advanced real-time earthquake source information, Nagoya University 1-2) Real-time seismic intensity network, NIED 1-3) Tsunami monitoring and forecasting, NIED, JMA 2) Evaluation of earthquake generation potential, Kyoto University 2-1) Campaign and continuous GPS observation, Kyoto University, GSI 2-2) Geological and geomorphological studies of earthquake faults, Kyoto University 3) Integrated real-time monitoring of the Taal and Mayon volcanoes, Nagoya University 3-1) Seismic and infrasonic observation, Nagoya University 3-2) Continuous GPS monitoring, Kyoto University 3-3) Electromagnetic monitoring, Tokai University 4) Provision of disaster mitigation information and promotion of utilization, NIED 4-1) Simple seismic diagnosis, NIED 4-2) Tsunami victims interview manga (comic book form) and DVD, NIED 4-3) Disaster information portal site, NIED <span style="font-size: xx-small;">*NIED: National Institute for Earth Science and Disaster Prevention; JMA: Japan Meteorological Agency; GSI: Geospatial Information Authority of Japan</span> This issuefs first article by Melosantos et al., reports on results of installing a broadband seismometer network to provide seismic data used in the next two articles. Papers by Bonita and Punongbayan detail the results of SWIFT, a new earthquake source analysis system that automatically determines the location, size, and source mechanisms of moderate to large earthquakes. The report by Inoue et al. describes the development of the first instrumental intensity network system in the Philippines, followed by a report on its deployment and observation by Lasala et al. The article by Igarashi et al. describes the development of a tsunami simulation database for a local tsunami warning system in the Philippines. The next five papers represent the 2) Earthquake Generation Potential project component. Ohkura et al. detail the results of campaign GPS observations on Mindanao Island, which first delineated the detailed plate movement and internal deformation of Mindanao. Tobita et al. report the results of the first continuous GPS observations across the Philippine Fault. The next three papers describe the results of geological and geomorphological studies of the Philippine Fault on Mindanao Island by Perez et al., the 1973 Ragay Gulf Earthquake by Tsutsumi, and submarine mapping of the Philippine Fault by Yasuda et al.. These results provide insights on the recurrence and sizes of large damaging earthquakes in different areas. An electromagnetic study of the Taal volcano reported by Alanis et al. and the GPS monitoring of the Mayon volcano detailed by Takagi et al. are a part of intensive studies of these two volcanoes. Scientific research results were published in advance in other international journals by the research group concerning 3) Integrated Real-Time Volcano Monitoring of the Taal and Mayon Volcanoes. Real-time information on these volcanoes are telemetered to Manila and checked regularly as a part of standard operational procedures. Real-time earthquake and tsunami information by 1) Earthquake and Tsunami Monitoring has already been implemented in the monitoring system. The last five papers and reports cover results for 4) Provision of Disaster Mitigation Information and Promotion of Utilization. Imai et al. report on a full-scale shaking table test of typical residential Philippines houses made of hollow concrete blocks. They demonstrate the importance of following building codes. A paper by Imai et al. introduces simple seismic diagnosis for masonry houses as a practical tool for raising peoplefs awareness of housing vulnerability to earthquakes. Salcedo et al. report a dissemination strategy for the practical tools. The last two papers, by Villegas, report on video interviews made with Philippino tsunami survivors in the Tohoku area following the 2011 Great East Japan Earthquake. The results are compiled and selected stories published in comic-book form as easy-to-understand educational materials on tsunami disaster awareness. Information on earthquakes and volcanoes provided by the enhanced monitoring system, research output, and educational materials obtained through the SATREPS project are provided to stakeholders to enhance measures against disasters at various levels and in different timeframes. Readers of this special issue can reference information through a newly established SATREPS project portal site, the PHIVOLCS Disaster Information Portal, at <a href="http://satreps.phivolcs.dost.gov.ph/">http://satreps.phivolcs.dost.gov.ph/</a>. It can also be accessed from the PHIVOLCS web page at <a href="http://www.phivolcs.dost.gov.ph/">http://www.phivolcs.dost.gov.ph/</a>. Finally, I extend my sincere thanks to all authors and reviewers involved in this special issue.
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Hayashi, Haruo, and Ryohei Misumi. "Special Issue on NIED Frontier Research on Science and Technology for Disaster Risk Reduction and Resilience 2020." Journal of Disaster Research 15, no. 6 (October 1, 2020): 675. http://dx.doi.org/10.20965/jdr.2020.p0675.
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We are very pleased to publish the Special Issue on NIED Frontier Research on Science and Technology for Disaster Risk Reduction and Resilience 2020. There are nine papers in this issue. The first two papers concern hazard and risk information systems: Sano et al. constructed a real-time risk information map for flood and landslide disasters, and Hirashima et al. created an alert system for snow removal from rooftops. These systems are already in use on the NIED website. The next three papers are case studies of recent storm disasters in Japan and the United States: Cui et al. analyzed the time variation in the distribution of damage reports in the headquarters for heavy-rainfall disaster control in Fukuoka, Shakti et al. studied flood disasters caused by Typhoon Hagibis (2019), and Iizuka and Sakai conducted a meteorological analysis of Hurricane Harvey (2017). Regarding volcanic disasters, Tanada and Nakamura reported the results of an electromagnetic survey of Mt. Nasudake. This special issue also includes three papers on large-scale model experimentation: Danjo and Ishizawa studied the rainfall infiltration process using NIED’s Large-Scale Rainfall Simulator, Kawamata and Nakazawa conducted experiments concerning liquefaction, and Nakazawa et al. reported the results of experiments on seismic retrofits for road embankments. The experiments used E-Defense, the world’s largest three-dimensional shaking table. We hope this issue will provide useful information for all readers studying natural disasters.
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Widodo, Edi, and H. Hastuti. "Local Wisdom in Responding to Disaster of Merapi Eruption: Case Study of Wonolelo Village." Geosfera Indonesia 4, no. 3 (November 25, 2019): 264. http://dx.doi.org/10.19184/geosi.v4i3.14066.
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The people who live in the Merapi area have been going on for years. Merapi is the most active volcano in Central Java that can threaten the community, but the community still exists today, of course, having local wisdom in responding to the eruption of Merapi. This study aims to determine the local wisdom of Wonolelo Village before, during, and after the Merapi eruption. In addition, to find out the historical relationship of the Merapi eruption to local wisdom and the challenges faced by Wonolelo Village in maintaining the sustainability of local wisdom. This research was used as a descriptive qualitative method. The method of collecting data is done through observation, in-depth interviews, and documentation. Data sources of this study are community leaders, spiritual leaders, and people who are more than 70 years old. Analysis of the data used is sourced triangulation based on the Miles & Huberman model. The results showed that local wisdom in responding to the Merapi eruption in Wonolelo Village still exists today. Local wisdom is divided into three segments, namely before, during, and after the eruption of Merapi. Local wisdom before the Merapi eruption is a notification that Merapi eruption activity will occur. Local wisdom in Wonolelo Village has challenges in the form of modernization and not running the local wisdom relay to young people.
Keywords: Disaster, Local wisdom, Merapi volcano.
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Kuri, Miwa, and Anawat Suppasri. "Perceptions of Volcanic Hazard-Related Information Relevant to Volcano Tourism Areas in Japan." Journal of Disaster Research 13, no. 6 (November 1, 2018): 1082–95. http://dx.doi.org/10.20965/jdr.2018.p1082.
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Perceptions of volcanic hazard-related information relevant to volcano tourism areas in Japan were investigated using an Internet questionnaire survey. This study focused on the possibilities of tourism activities as a method of disseminating disaster information not only to residents but also to visitors. We evaluated the effects of educational programs (EP) including recreational activities at geopark, for the purpose of further enhancing information content and establishment of cooperation system. The survey focused on the roles and perspectives of residents, the tourism industry, scientists, and the government in volcanic disaster mitigation, as well as the dissemination of volcanic information with regard to daily activities and the actions to be taken in the event of an emergency. Hazard perceptions tended to be actuate in areas where knowledge dissemination activities were active, but this did not lead to evacuation awareness. Evacuation awareness was correlated with disaster awareness, specifically regarding the degree of interest in a volcano, eruption frequency and style, perceptions of eruption predictability, and trust in information source. Disaster awareness correlated somewhat with eruption style and with the time elapsed science the most recent eruption. Our results showed that the perceptions of residents living near volcanoes depended on eruption frequency, their experience during previous eruptions, and local government assessments of the severity of the volcanic hazard. Despite advances in tools of social media, that is not yet to take advantage under disaster circumstances. A disaster prevention system that incorporates disaster prevention education and open lines of communication among scientists, government, media, residents, and the tourism industry is necessary to improve the disaster resilience of communities in volcanic areas.
Dissertations / Theses on the topic "Volcanic hazard analysis – Japan"
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Hayes, Sara Louise. "Volcanic risk assessments : integrating hazard and social vulnerability analysis." Thesis, University of Plymouth, 2011. http://hdl.handle.net/10026.1/2170.
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The vulnerability of communities at risk from volcanic activity at Volcan Tungurahua, Ecuador and Mount Rainier in the USA provided the focus for this thesis. The research aimed to develop an integrated approach to risk assessments that combined both hazard and vulnerability analysis. In phase one, the study developed a novel methodology to assess volcanic threat that utilised previously published data. This semi-quantitative approach integrated measures of both hazard and exposure factors, allowing the relative threat to different communities to be ranked. By avoiding the complex quantitative analysis associated with traditional risk assessments of the multiple hazards associated with volcanic activity, this methodology may be applied where comprehensive historic and geological data may be lacking, as well as facilitating understanding amongst non-specialists and members of the public. The second phase of the research investigated human vulnerability, with an exploratory study carried out in Ecuador. This utilised a questionnaire survey aimed at eliciting an individual’s beliefs and attitudes towards volcanic risk, which provided the basis for a more comprehensive exploration of social vulnerability conducted in the USA. This investigated further the role of socio-economic features and psychological characteristics, such as risk perception, hazard salience and self-efficacy, in promoting self-protective behaviour, and examined the relative importance of these factors in determining vulnerability. The theoretical underpinnings of this research suggest that individuals with certain socio-economic characteristics may incur greater losses during a disaster, whilst perceptual processes may influence how an individual responds to a hazardous event. Little evidence was found to support the socio-economic model of vulnerability, which prevented the integration of the two research phases. However, perceptual factors were found to be significant predictors in the adoption of protective hazard adaption. This suggests that targeting risk mitigation and communication strategies to address these psychological constructs may be more important for reducing overall vulnerability than focusing efforts towards specific socio-economic groups.
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Wetie, Ngongang Ariane. "Seismic and Volcanic Hazard Analysis for Mount Cameroon Volcano." Diss., University of Pretoria, 2016. http://hdl.handle.net/2263/60871.
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Mount Cameroon is considered the only active volcano along a 1600 km long chain of volcanic complexes called the Cameroon Volcanic Line (CVL). It has erupted seven times during the last 100 years, the most recent was in May 2000. The approximately 500,000 inhabitants that live and work around the fertile flanks are exposed to impending threats from volcanic eruptions and earthquakes.
In this thesis, a hazard assessment study that involves both statistical modelling of seismic hazard parameters and the evaluation of a future volcanic risk was undertaken on Mount Cameroon. The Gutenberg-Richter magnitude-frequency relations, the annual activity rate, the maximum magnitude, the rate of volcanic eruptions and risks assessment were examined.
The seismic hazard parameters were estimated using the Maximum Likelihood Method on the basis of a procedure which combines seismic data containing incomplete files of large historical events with complete files of short periods of observations. A homogenous Poisson distribution model was applied to previous recorded volcanic eruptions of Mount Cameroon to determine the frequency of eruption and assess the probability of a future eruption.
Frequency-magnitude plots indicated that Gutenberg-Richter b-values are partially dependent on the maximum regional magnitude and the method used in their calculation. b-values showed temporal and spatial variation with an average value of 1.53 ± 0.02. The intrusion of a magma body generating the occurrence of relatively small earthquakes as observed in our instrumental catalogue, could be responsible for this high anomalous b-value.
An epicentre map of locally recorded earthquakes revealed that the southeastern zone is the most seismically active part of the volcano. The annual mean activity rate of the seismicity strongly depends on the time span of the seismic catalogue and results showed that on average, one earthquake event occurs every 10 days. The maximum regional magnitude values which had been determined from various approaches overlap when their standard deviations are taken into account. However, the magnitude distribution model of the Mt. Cameroon earthquakes might not follow the form of the Gutenberg-Richter frequency magnitude relationship.
The datations of the last eruptive events that have occurred on Mt. Cameroon volcanic complex are presented. No specific pattern was observed on the frequency of eruptions, which means that a homogenous Poisson distribution provides a suitable model to estimate the rate of occurrence of volcanic eruptions and evaluate the risk of a future eruption. Two different approaches were used to estimate the mean eruption rate (λ) and both yielded a value of 0.074. The results showed that eruptions take place on average once every 13 years and, with the last eruption occurring over 15 years ago, it is considered that there is at present a high risk of an eruption to occur.Dissertation (MSc)--University of Pretoria, 2016.
Geology
MSc
Unrestricted
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Roman, Diana Christine. "Changes in local stress field orientation in response to magmatic activity /." view abstract or download file of text, 2004. http://wwwlib.umi.com/cr/uoregon/fullcit?p3136443.
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Hill-Butler, C. "Evaluating the effect of large magnitude earthquakes on thermal volcanic activity : a comparative assessment of the parameters and mechanisms that trigger volcanic unrest and eruptions." Thesis, Coventry University, 2015. http://curve.coventry.ac.uk/open/items/5f612a7d-ebbf-4d38-90aa-89c4984a1c0f/1.
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Volcanic eruptions and unrest have the potential to have large impacts on society causing social, economic and environmental losses. One of the primary goals of volcanological studies is to understand a volcano’s behaviour so that future instances of unrest or impending eruptions can be predicted. Despite this, our ability to predict the onset, location and size of future periods of unrest remains inadequate and one of the main problems in forecasting is associated with the inherent complexity of volcanoes. In practice, most reliable forecasts have employed a probabilistic approach where knowledge of volcanic activity triggers have been incorporated into scenarios to indicate the probability of unrest. The proposed relationship between large earthquakes and volcanic activity may, therefore, indicate an important precursory signal for volcanic activity forecasting. There have been numerous reports of a spatial and temporal link between volcanic activity and high magnitude seismic events and it has been suggested that significantly more periods of volcanic unrest occur in the months and years following an earthquake than expected by chance. Disparities between earthquake-volcano assessments and variability between responding volcanoes, however, has meant that the conditions that influence a volcano’s response to earthquakes have not been determined. Using data from the MODVOLC algorithm, a proxy for volcanic activity, this research examined a globally comparable database of satellite-derived volcanic radiant flux to identify significant changes in volcanic activity following an earthquake. Cases of potentially triggered volcanic activity were then analysed to identify the earthquake and volcano parameters that influence the relationship and evaluate the mechansisms proposed to trigger volcanic activity following an earthquake. At a global scale, this research identified that 57% [8 out of 14] of all large magnitude earthquakes were followed by increases in global volcanic activity. The most significant change in volcanic radiant flux, which demonstrates the potential of large earthquakes to influence volcanic activity at a global scale, occurred between December 2004 and April 2005. During this time, new thermal activity was detected at 10 volcanoes and the total daily volcanic radiant flux doubled within 52 days. Within a regional setting, this research also identified that instances of potentially triggered volcanic activity were statistically different to instances where no triggering was observed. In addition, assessments of earthquake and volcano parameters identified that earthquake fault characteristics increase the probability of triggered volcanic activity and variable response proportions at individual volcanoes and regionally demonstrated the critical role of the state of the volcanic system in determining if a volcano will respond. Despite the identification of these factors, this research was not able to define a model for the prediction of volcanic activity following earthquakes and, alternatively, proposed a process for response. In doing so, this thesis confirmed the potential use of earthquakes as a precursory indicator to volcanic activity and identified the most likely mechanisms that lead to seismically triggered volcanic unrest.
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TOPRAK, FUNDA O. "CONSTRAINING THE POTENTIAL RESPIRATORY HEALTH HAZARD FROM LARGE VOLCANIC ERUPTIONS." University of Cincinnati / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1186151662.
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Hintz, Amanda Rachelle. "Physical Volcanology and Hazard Analysis of a Young Monogenetic Volcanic Field: Black Rock Desert, Utah." [Tampa, Fla] : University of South Florida, 2008. http://purl.fcla.edu/usf/dc/et/SFE0002716.
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Kiyosugi, Koji. "Temporal and Spatial Analysis of Monogenetic Volcanic Fields." Scholar Commons, 2012. http://scholarcommons.usf.edu/etd/4101.
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Achieving an understanding of the nature of monogenetic volcanic fields depends on identification of the spatial and temporal patterns of volcanism in these fields, and their relationships to structures mapped in the shallow crust and inferred in the deep crust and mantle through interpretation of geochemical, radiometric and geophysical data.
We investigate the spatial and temporal distributions of volcanism in the Abu Monogenetic Volcano Group, Southwest Japan. E-W elongated volcano distribution, which is identified by a nonparametric kernel method, is found to be consistent with the spatial extent of P-wave velocity anomalies in the lower crust and upper mantle, supporting the idea that the spatial density map of volcanic vents reflects the geometry of a mantle diapir. Estimated basalt supply to the lower crust is constant. This observation and the spatial distribution of volcanic vents suggest stability of magma productivity and essentially constant two-dimensional size of the source mantle diapir.
We mapped conduits, dike segments, and sills in the San Rafael sub-volcanic field, Utah, where the shallowest part of a Pliocene magmatic system is exceptionally well exposed. The distribution of conduits matches the major features of dike distribution, including development of clusters and distribution of outliers. The comparison of San Rafael conduit distribution and the distributions of volcanoes in several recently active volcanic fields supports the use of statistical models, such as nonparametric kernel methods, in probabilistic hazard assessment for distributed volcanism.
We developed a new recurrence rate calculation method that uses a Monte Carlo procedure to better reflect and understand the impact of uncertainties of radiometric age determinations on uncertainty of recurrence rate estimates for volcanic activity in the Abu, Yucca Mountain Region, and Izu-Tobu volcanic fields. Results suggest that the recurrence rates of volcanic fields can change by more than one order of magnitude on time scales of several hundred thousand to several million years. This suggests that magma generation rate beneath volcanic fields may change over these time scales. Also, recurrence rate varies more than one order of magnitude between these volcanic fields, consistent with the idea that distributed volcanism may be influenced by both the rate of magma generation and the potential for dike interaction during ascent.
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Itamochi, Mami. "Effective planning for seismic risk case of Kobe, Japan /." Huntington, WV : [Marshall University Libraries], 2004. http://www.marshall.edu/etd/descript.asp?ref=411.
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Thesis (M.A.)--Marshall University, 2004.Title from document title page. Abstract included. Document formatted into pages; contains vi, 48 p. Includes abstract. Includes bibliographical references (p. 46-48).
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Grunewald, Uwe. "Measuring and modelling of volcanic pollutants from White Island and Ruapehu volcanoes assessment of related hazard in the North Island /." Thesis, University of Canterbury. Geological Sciences, 2007. http://hdl.handle.net/10092/1428.
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White Island and Ruapehu are currently the most active volcanoes in New Zealand. During non-eruptive periods, intense quiescent degassing through fumaroles can occur. The current project studies the quiescent degassing plumes, including aerosol sampling on White Island and dispersion modelling of SO₂ and PM₁₀ from White Island and Ruapehu volcanoes. Aerosol sampling from fumaroles at the crater floor on White Island volcano was carried out on 9 February and 6 April 2005. The exposed filters were analysed for various anions and cations and the particle mass concentration and molar concentration determined. Major elemental constituents were sodium and chlorine (Na⁺: 413 µg m⁻³, Cl⁻: 1520 µg m⁻³), which show best correlation at both sampling sessions. Other ions detected, with little correlation, are Ca²⁺, PO₄³⁻ and to a certain extent Mg²⁺. Other constituents found, which cannot correlate explicitly to other ions, are K⁺, NH₄⁺, NO₃⁻, and SO₄²⁻. SEM study of one exposed filter was performed and mainly NaCl particles could be distinguished due to their well-defined cubic shape. The Air Pollution Model (TAPM) was used for dispersion modelling of SO₂ (models 1-4) and PM₁₀ (models 5 and 6) from White Island and Ruapehu volcanoes. Annual modelling was performed using different parameters of emission rate, exit temperature and exit velocity. The resulting plume dispersions show relatively low concentrations at ground level ≤10 m), particularly for the models of PM₁₀ dispersion. TAPM calculated the highest SO₂ ground level concentrations with model 4, where the NES values of 350 and 570 µg m⁻³ were exceeded several times. The data was then used for detailed hazard assessment of urban population in the North Island. The meteorological data from annual modelling was used for model evaluation and compared with observation data from different weather stations by statistical calculations. Overall, TAPM performed well with most good and very good results. To evaluate SO₂ dispersion modelling, airborne plume measurements were carried out on 22 November 2006 by plume traverses at 3, 10 and 20 km. Although there is some variation, the calculated correlation coefficients indicate good model results for two plume traverses at 3 and 20 km and one plume traverse at 10 km. The meteorological data was also used for model evaluation, and the results indicate good model performance. TAPM is therefore suggested for future studies when more observation data are available to verify the calculated model data.
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Sagala, Saut Aritua Hasiholan. "System Analysis of Social Resilience against Volcanic Risks Case Studies of Merapi, Indonesia and Mt.Sakurajima, Japan." 京都大学 (Kyoto University), 2009. http://hdl.handle.net/2433/88040.
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Kyoto University (京都大学)0048
新制・課程博士
博士(工学)
甲第15001号
工博第3175号
新制||工||1477(附属図書館)
27451
UT51-2009-R725
京都大学大学院工学研究科都市社会工学専攻
(主査)教授 岡田 憲夫, 教授 小林 潔司, 教授 多々納 裕一
学位規則第4条第1項該当
Books on the topic "Volcanic hazard analysis – Japan"
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Dzurisin, Daniel. Living with volcanic risk in the Cascades. [Vancouver, WA?]: U.S. Geological Survey, 1999.
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Dzurisin, Daniel. Living with volcanic risk in the Cascades. [Vancouver, WA?]: U.S. Geological Survey, 1997.
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Waitt, Richard B. Volcanic-hazard zonation for Glacier Peak Volcano, Washington. [Menlo Park, Calif.]: Dept. of the Interior, Geological Survey, 1995.
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Waitt, Richard B. Volcanic-hazard zonation for Glacier Peak Volcano, Washington. [Menlo Park, Calif.]: Dept. of the Interior, Geological Survey, 1995.
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Waitt, Richard B. Volcanic-hazard zonation for Glacier Peak Volcano, Washington. [Menlo Park, Calif.]: Dept. of the Interior, Geological Survey, 1995.
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Waitt, Richard B. Volcanic-hazard zonation for Glacier Peak Volcano, Washington. [Menlo Park, Calif.]: Dept. of the Interior, Geological Survey, 1995.
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Waitt, Richard B. Volcanic-hazard zonation for Glacier Peak Volcano, Washington. [Menlo Park, Calif.]: Dept. of the Interior, Geological Survey, 1995.
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Waitt, Richard B. Volcanic-hazard zonation for Glacier Peak Volcano, Washington. [Menlo Park, Calif.]: Dept. of the Interior, Geological Survey, 1995.
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Waitt, Richard B. Volcanic-hazard zonation for Glacier Peak Volcano, Washington. [Menlo Park, Calif.]: Dept. of the Interior, Geological Survey, 1995.
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Waythomas, Christopher F. Preliminary volcano-hazard assessment for Iliamna Volcano, Alaska. Anchorage, Alaska: U.S. Dept. of the Interior, U.S. Geological Survey, 1999.
Find full textBook chapters on the topic "Volcanic hazard analysis – Japan"
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Kauahikaua, Jim, Sandy Margriter, and Richard B. Moore. "GIS-Aided Volcanic Activity Hazard Analysis for the Hawaii Geothermal Project Environmental Impact Statement." In Geographical Information Systems in Assessing Natural Hazards, 235–57. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-015-8404-3_12.
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Selva, Jacopo, Warner Marzocchi, Laura Sandri, and Antonio Costa. "Operational Short-term Volcanic Hazard Analysis." In Volcanic Hazards, Risks and Disasters, 233–59. Elsevier, 2015. http://dx.doi.org/10.1016/b978-0-12-396453-3.00009-5.
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James, Andrew, Koji Umeda, and Tsuneari Ishimaru. "Application of the Bayesian Approach to Incorporate Helium Isotope Ratios in Long-Term Probabilistic Volcanic Hazard Assessments in Tohoku, Japan." In Updates in Volcanology - New Advances in Understanding Volcanic Systems. InTech, 2012. http://dx.doi.org/10.5772/51859.
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Kaneoka, I., Y. Takigami, N. Takaoka, S. Yamashita, and K. Tamaki. "40Ar-39Ar Analysis of Volcanic Rocks Recovered from the Japan Sea Floor: Constraints on the Age of Formation of the Japan Sea." In Proceedings of the Ocean Drilling Program, 127/128 Part 2 Scientific Results. Ocean Drilling Program, 1992. http://dx.doi.org/10.2973/odp.proc.sr.127128-2.200.1992.
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Kaneoka, I., Y. Takigami, N. Takaoka, S. Yamashita, and K. Tamaki. "40Ar-39Ar Analysis of Volcanic Rocks Recovered from the Japan Sea Floor: Constraints on the Age of Formation of the Japan Sea." In Proceedings of the Ocean Drilling Program, 127/128 Scientific Results. Ocean Drilling Program, 1992. http://dx.doi.org/10.2973/odp.proc.sr.127128.200.1992.
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Romero, Carmen, Inés Galindo, Nieves Sánchez, Esther Martín-González, and Juana Vegas. "Syn-Eruptive Lateral Collapse of Monogenetic Volcanoes: The Case of Mazo Volcano from the Timanfaya Eruption (Lanzarote, Canary Islands)." In Volcanoes - Updates in Volcanology [Working Title]. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.93882.
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The evolution of complex volcanic structures usually includes the occurrence of flank collapse events. Monogenetic cones, however, are more stable edifices with minor rafting processes that remove part of the cone slopes. We present the eruptive history of Mazo volcano (Lanzarote, Canary Islands), including the first detailed description of a syn-eruptive debris avalanche affecting a volcanic monogenetic edifice. The study and characterization, through new geological and morphological data and the analysis of a great number of documentary data, have made it possible to reinterpret this volcano and assign it to the Timanfaya eruption (1730–1736). The eruptive style evolved from Hawaiian to Strombolian until a flank collapse occurred, destroying a great part of the edifice, and forming a debris avalanche exhibiting all the features that define collapsing volcanic structures. The existence of blocks from the substrate suggests a volcano-tectonic process associated with a fracture acting simultaneously with the eruption. The sudden decompression caused a blast that produced pyroclasts that covered most of the island. This study forces to change the current low-hazard perception usually linked to monogenetic eruptions and provides a new eruptive scenario to be considered in volcanic hazards analysis and mitigation strategies development.
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Sneep, Deirdre. "Phenomena and Phobia through Pokémon GO: An Analysis of the Reactions on the Augmented Reality Game in Japan." In Media Technologies for Work and Play in East Asia, 121–44. Policy Press, 2021. http://dx.doi.org/10.1332/policypress/9781529213362.003.0007.
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This chapter looks at government and media warnings of playing Pokémon GO in Japan. This chapter argues that even though Japan is often portrayed as a country that has a high affinity with technology, it has simultaneously been suspicious towards new forms of digital technology, showing an interesting stance towards the digitalisation of society. The case of Pokémon GO illustrates that Japanese have also shown the same anxieties towards other media technologies in the past. Some of these anxieties are health hazard caused by addictive handheld gaming, accidents and deaths caused by inattentive drivers, as well as moral decline. Some of these anxieties can be explained by the different attitudes towards technologies between the older and the younger generations: while the former sees technologies are only for work, the latter sees them as play.
Conference papers on the topic "Volcanic hazard analysis – Japan"
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Marjanishvili, Shalva. "Overview of Design of Structures to Extreme Hazards." In IABSE Congress, New York, New York 2019: The Evolving Metropolis. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2019. http://dx.doi.org/10.2749/newyork.2019.2240.
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<p>Common engineering practice in multi-hazard design is to consider each natural hazard independently. The underlying assumption is that it is highly unlikely that one disaster will be closely followed by another. This approach dominated large part of the 20th century. The engineering community has made large strides in designing structures to withstand known hazards, leading to improved reliability and safety of infrastructure. This in turn has supported population growth and increased prosperity. As witness to our success, it is common in developed nations to consider it unacceptable for a disaster to cause large scale devastation. However, the nature of the disasters has proved otherwise.</p><p>It is unlikely that one extreme event will have catastrophic consequences on communities, because we know how to prepare for a single event. Instead, as experience shows, disasters are more typically comprised by one event followed by one or more other events, exposing the vulnerability of our design assumptions. The examples of multiple disasters are Indonesia (i.e., earthquake followed by tsunami followed by volcano), Haiti (i.e., earthquake followed by cholera outbreak) and Japan (i.e., earthquake followed by tsunami followed by nuclear meltdown). The obvious solution is to focus on understanding on the resilience of the system as an its ability to rapidly recover from the event.</p><p>This paper proposes a framework for quantitative measure and mathematically reproducible definitions of structural resilience as it pertains to a building’s ability to minimize the potential for undesirable consequences. The resilience assessment and design process follow logical progression of steps, starting with the characterization of hazards, continuing through analysis simulations, damage modelling, and loss assessment by finding and subsequently balancing functional relationships between design and analysis and consequences. The outcomes of each process are articulated through a series of generalized variables, termed as topology, geometry, damage and hazard intensity measures. Topological analysis methods are developed to map the effects of blast and extreme fire exposure so that the corresponding intensity measures can be addressed simultaneously during design</p>
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Marchese, F., G. Malvasi, M. Ciampa, C. Filizzola, N. Pergola, and V. Tramutoli. "A Robust Multitemporal Satellite Technique for Volcanic Activity Monitoring: Possible Impacts on Volcanic Hazard Mitigation." In 2007 International Workshop on the Analysis of Multi-Temporal Remote Sensing Images. IEEE, 2007. http://dx.doi.org/10.1109/multitemp.2007.4293056.
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Sonobe, M., and H. Hashiba. "Evaluation of damage and volcanic Hazard in Kuchinoerabu Island, Japan, by using high-resolution satellite images." In 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE, 2017. http://dx.doi.org/10.1109/igarss.2017.8127944.
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Sakai, Toshiaki, Tomoyoshi Takeda, Hiroshi Soraoka, Ken Yanagisawa, and Tadashi Annaka. "Development of a Probabilistic Tsunami Hazard Analysis in Japan." In 14th International Conference on Nuclear Engineering. ASMEDC, 2006. http://dx.doi.org/10.1115/icone14-89183.
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It is meaningful for tsunami assessment to evaluate phenomena beyond the design basis as well as seismic design. Because once we set the design basis tsunami height, we still have possibilities tsunami height may exceeds the determined design tsunami height due to uncertainties regarding the tsunami phenomena. Probabilistic tsunami risk assessment consists of estimating for tsunami hazard and fragility of structures and executing system analysis. In this report, we apply a method for probabilistic tsunami hazard analysis (PTHA). We introduce a logic tree approach to estimate tsunami hazard curves (relationships between tsunami height and probability of excess) and present an example for Japan. Examples of tsunami hazard curves are illustrated, and uncertainty in the tsunami hazard is displayed by 5-, 16-, 50-, 84- and 95-percentile and mean hazard curves. The result of PTHA will be used for quantitative assessment of the tsunami risk for important facilities located on coastal area. Tsunami hazard curves are the reasonable input data for structures and system analysis. However the evaluation method for estimating fragility of structures and the procedure of system analysis is now being developed.
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Liu, A. W., Q. M. He, and X. H. Jia. "Fault Displacement Hazard Analysis for the Seismic Design of Oil and Gas Pipeline." In Sixth China-Japan-US Trilateral Symposium on Lifeline Earthquake Engineering. Reston, VA: American Society of Civil Engineers, 2013. http://dx.doi.org/10.1061/9780784413234.030.
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"Deterministic and Probabilistic Seismic Hazard Analysis in Province of DKI Jakarta (Case Study: Earthquakes Data in Province of DKI Jakarta on January 1945 – December 2015)." In April 18-19, 2017 Kyoto (Japan). DiRPUB, 2017. http://dx.doi.org/10.15242/dirpub.u0417018.
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Maehara, Yuki, Takeaki Otani, and Tetsuya Yamamoto. "FACIES CLASSIFICATION OF A COMPLEX RESERVOIR USING MACHINE LEARNING: CASE STUDY FROM VOLCANIC FORMATION, THE YURIHARA OIL FIELD, JAPAN." In 2021 SPWLA 62nd Annual Logging Symposium Online. Society of Petrophysicists and Well Log Analysts, 2021. http://dx.doi.org/10.30632/spwla-2021-0037.
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Lithological facies classification using well logs is essential in the reservoir characterization. The facies are manually classified from characteristic log responses derived, which is challenging and time consuming for geologically complex reservoirs due to high variation of log responses for each facies. To overcome such a challenge, machine learning (ML) is helpful to determine characteristic log responses. In this study, we classified the lithofacies by applying ML to the conventional well logs for the volcanic formation, onshore, northeast Japan. The volcanic formation of the Yurihara oil field is petrologically classified into five lithofacies: mudstone, hyaloclastite, pillow lava, sheet lava, and dolerite, with pillow lava being predominant reservoir. The former four lithofacies are the members of the volcanic system in Miocene, and dolerite randomly intruded later into those. Understanding the distribution of omnidirectional tight dykes at the well location is important for the estimation of potential near-lateral seal distribution compartmentalizing the reservoir. The facies are best classified by core data, which are unfortunately available in a limited number of wells. The conventional logs, with the help of the borehole image log, have been used for the facies classification in most of the wells. However, distinguishing dolerite from sheet lava by manual classification is very ambiguous, as they appear similar in these logs. Therefore, automated clustering of well logs with ML was attempted for the facies classification. All the available log data was audited in the target well prior to applying ML. A total of 10 well logs are available in the reservoir depth interval. To prioritize the logs for the clustering, the information of each log was first analyzed by Principal Component Analysis (PCA). The dimension of variable space was reduced from 10 to 5 using PCA. Final set of 5 variables, gamma-ray, density, formation photoelectric factor, neutron porosity, and laterolog resistivity, were used for the next clustering process. ML was applied to the selected 5 logs for automated clustering. Cross-Entropy Clustering (CEC) was first initialized using k-means++ algorithm. Multiple initialization processes were randomly conducted to find the global minimum of cost function, which automatically derived the optimized number of classes. The resulting classes were further refined by the Gaussian Mixture Model (GMM) and subsequently by the Hidden Markov Model (HMM), which takes the serial dependency of the classes between successive depths into account. Resulting 14 classes were manually merged into 5 classes referring to the lithofacies defined by the borehole image log analysis. The difference of the log responses between basaltic sheet lava and dolerite was too subtle to be captured with confidence by the conventional manual workflow, while the ML technique could successfully capture it. The result was verified by the petrological analyses on sidewall cores (SWCs) and cuttings. In this study, the automated clustering with the combination of several ML algorithms was demonstrated more efficient and reasonable facies classification. The unsupervised learning approach would provide supportive information to reveal the regional facies distribution when it is applied in the other wells, and to comprehend the dynamic behavior of the fluids in the reservoir.
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Masuda, Koichi, Tomoki Ikoma, Yasuhiro Aida, Satoshi Hoshino, and Jumpei Takayama. "Development of Tsunami Hazard Map for Supporting Evacuation Guidance in Tsunami." In ASME 2015 34th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/omae2015-42343.
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We developed a tsunami hazard map for supporting evacuation guidance which is intended for government use. The evacuation behavior simulator achieved in making changes in every moment with an analysis that unifies evacuation behavior simulation and tsunami propagation simulation, as this enables the calculation of the difficult evacuation zones. This paper offers a practice case study for Shimizu ward, Shimizu city, Shizuoka prefecture, in Japan. The difficult evacuation zone was around Yokosuna-nishi-machi in the northwest part of the study site. The simulation conditions included walking speed and evacuation direction, which was verified for this difficult evacuation zone. This is effective for evacuation toward inland, especially elevated ground which doesn’t become inundated by tsunami. In this paper, the results of simulations were reflected in a hazard map. Then we propose the hazard map as intended for the government, for supporting evacuation guidance in a tsunami.
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Hamazaki, Ryoichi, Kazunori Hashimoto, Takayoshi Kusunoki, and Chikahiro Satou. "The Assessment of Containment Functional Failure Frequency in the Revised Level 2 PRA Standard in Japan." In 2016 24th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/icone24-61019.
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In this paper, we introduce the overview of the requirements and the complementary information on the evaluation of containment functional failure frequency (CFF) in the revised version of “A Standard for Procedures of Probabilistic Risk Assessment of Nuclear Power Plants during Power Operation (Level 2 PRA) “[1] in Japan, which was developed and revised at the Level 2 PRA Subcommittee under the Atomic Energy Society of Japan (AESJ). Although the Level 2 PRA standard includes the evaluation of CFF and radiological source terms, we explain only the evaluation of CFF in this paper. In the evaluation of CFF, the physical response analysis and the probabilistic analysis are included as follows. The accident progression analysis is performed for each of the plant damage states, considering the operation status of mitigation systems, thermal-hydraulic behavior and core damage progression, and occurrences of some key events such as reactor pressure vessel failure. The containment event tree (CET) is developed classifying the accident progress in tree diagram. In the CET, some headings are arranged sequentially considering the accident progression. The headings correspond to the phenomena occurrence and the systems operation status, and a branch probability is assigned at each branch of heading. The branch probabilities of the phenomena are evaluated by either the Risk Oriented Accident Analysis Methodology (ROAAM) or the Decomposition Event Tree (DET) analysis considering the containment threats. The branch probabilities on the phenomena are set as the probability distributions, because the phenomena and the analysis have uncertainties. The branch probabilities on the systems operation are evaluated using the fault tree analysis and human error analysis. The containment functional failure modes are assigned at the end state of the CET considering the type of load against containment integrity. For the evaluation of the non-energetic load, the integral codes such as MELCOR [2], THALES-2 [3], and MAAP4 [4] etc. are used. On the other hand, various mechanistic codes are used for the evaluation of energetic phenomena such as steam explosion. The containment functional failure is judged by comparing the ultimate strength or the fragility of containment structure and the generated loads. After all, the CFF can be obtained by summing the frequency of containment functional failure mode. In the Level 2 PRA standard in Japan, the requirements in each evaluation process above are described. In addition, the technical background and the examples as the complementary information on each requirement are described in the Annex of the standard to help the application of the standard. In this revision, the body is revised to clarify the requirements on the quantification of the CET. The Annex is revised to incorporate the up-to-date information on severe accident research and severe accident management (SAM) measures. The updated information includes the melt stratification (OECD/MASCA project [5]), the steam explosion (SERENA project [6] and PULiMS/SES experiments [7]), the ex-vessel debris coolability (OECD/MCCI project [8]), debris jet breakup, the melt spreading, the coolability of the particulate bed, and the containment vessel (CV) fragility evaluation. Some future challenges are extracted from the lessons learned from the Fukushima Daiichi accident, such as development of the Level 2 PRA for the external hazard as earthquake and tsunami, quantification of impact on the containment integrity of hydrogen detonation in the adjacent buildings, and human error evaluation in the external hazard.
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Nagata, Tadahisa, and Ken-ichiro Sugiyama. "Performance Evaluation of Japanese Nuclear Power Plant Based on Open Data and Information (3)." In 18th International Conference on Nuclear Engineering. ASMEDC, 2010. http://dx.doi.org/10.1115/icone18-29703.
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The excessive maintenance of the nuclear power plants (NPPs) may cause the early (infant) failure in Japan. An easy analysis; the Weibull analysis was applied to the evaluation of the failure mode. The Weibull analysis needs the hazard data. The maintenance information of the equipment which caused plant shutdown was required for the hazard calculation. However, maintenance information of the equipment was not open. Therefore, all equipment was assumed to be maintained during every shutdown. This assumption was based on renewal process. However, a repair after unplanned shutdown of NPP is generally a restoration of only failed function without system overhaul. The system must be considered to age continuously. The system was not renewed. The operation data must be regarded as one continuous data before and after unplanned shutdown. An improvement of the Weibull analysis was required for NPPs. The model of the Weibull analysis was investigated. The competitive model in which shutdown caused by other than focused equipment/cause may be supposed to be continuous data could not be applied for a comprehensive analysis. Furthermore, the calculation method of the Weibull analysis was investigated. The calculation method of the hazard was viewed. A denominator of the hazard is the number of data which is cut for every continuous data by renewal process. However, multiple considerations of operation periods before unplanned shutdowns might cause underestimation of the failure rate in case of restoration process. Therefore, a dominator of the hazard was not supposed to be the number of data but the number of survived equipments (plants) at each time according to the definition of the hazard. This improved method is for the restoration process. The performance of Japanese NPPs was evaluated by improved method. The failure modes of Japanese NPPs were early failure modes. Moreover, performances of U.S. NPPs was tried to be evaluated by improved method. Operation data was collected from “NRC Power Reactor Status Reports”. However, many “maintenance outage”s which are the shutdowns of unknown origin were found. Therefore, DOE information was supplemented to investigate the “maintenance outage”. Failure modes of U.S. NPPs were the early failure modes, and failure rates were larger than Japanese NPPs.
Reports on the topic "Volcanic hazard analysis – Japan"
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KEVIN J. COPPERSMITH, ROSEANNE C. PERMAN. PROBABILISTIC VOLCANIC HAZARD ANALYSIS FOR YUCCA MOUNTAIN, NEVADA. Office of Scientific and Technical Information (OSTI), June 1996. http://dx.doi.org/10.2172/778888.
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K.J. Coppersmith. UPDATE TO THE PROBABILISTIC VOLCANIC HAZARD ANALYSIS, YUCCA MOUNTAIN, NEVADA. Office of Scientific and Technical Information (OSTI), September 2005. http://dx.doi.org/10.2172/884950.
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F.V. Perry, A. Cogbill, and R. Kelley. UPDATING AN EXPERT ELICITATION IN THE LIGHT OF NEW DATA: TEN YEARS OF PROBABILISTIC VOLCANIC HAZARD ANALYSIS FOR THE PROPOSED HIGH-LEVEL RADIOACTIVE WASTE REPOSITORY AT YUCCA MOUNTAIN, NEVADA. Office of Scientific and Technical Information (OSTI), August 2005. http://dx.doi.org/10.2172/884940.
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Gregor, Nicholas, Kofi Addo, Linda Al Atik, Gail Atkinson, David Boore, Yousef Bozorgnia, Kenneth Campbell, et al. Comparison of NGA-Sub Ground-Motion Models. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, November 2020. http://dx.doi.org/10.55461/ubdv7944.
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Ground-motion models (GMMs) for subduction earthquakes recently developed as part of the NGA-Subduction (NGA-Sub) project are compared in this report. The three models presented in this comparison report are documented in their respective PEER reports. Two of the models are developed for a global version and as well regionalized models. The third model is developed based on earthquakes contain in the NGA-Sub dataset only from Japan and as such is applicable for Japan. As part of the comparisons presented in this report, deterministic calculations are provided for the global and regional cases amongst the models. The digital values and additional plots from these deterministic comparisons are provided as part of the electronic supplement for this report. In addition, ground-motion estimates are provided for currently published subduction GMMs. Two example probabilistic seismic hazard analysis calculations are also presented for two sites located in the Pacific Northwest Region in the state of Washington. Based on the limited comparisons presented in this report, a general understanding of these new GMMs can be appreciated with the expectation that the implementation for a specific seismic hazard study should incorporate similar and additional comparisons and sensitivity studies similar to the ones presented in this report.
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Wilson, A. M., and M. C. Kelman. Assessing the relative threats from Canadian volcanoes. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/328950.
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This report presents an analysis of the threat posed by active volcanoes in Canada and outlines directives to bring Canadian volcano monitoring and research into alignment with global best practices. We analyse 28 Canadian volcanoes in terms of their relative threat to people, aviation and infrastructure. The methodology we apply to assess volcanic threat was developed by the United States Geological Survey (USGS) as part of the 2005 National Volcano Early Warning System (NVEWS). Each volcano is scored on a number of hazard and exposure factors, producing an overall threat score. The overall threat scores are then assigned to five threat categories ranging from Very Low to Very High. We adjusted the methodology slightly to better suit Canadian volcano conditions by adding an additional knowledge uncertainty score; this does not affect the threat scoring or ranking. Our threat assessment places two volcanoes into the Very High threat category (Mt. Meager and Mt. Garibaldi). Three Canadian volcanoes score in the High threat category (Mt. Cayley, Mt. Price and Mt. Edziza) and two volcanoes score in the Moderate threat category (the Nass River group and Mt. Silverthrone). We compare the ranked Canadian volcanoes to similarly scored volcanoes in the USA and assess the current levels of volcano monitoring against internationally recognised monitoring strategies. We find that even the most thoroughly-studied volcano in Canada (Mt. Meager) falls significantly short of the recommended monitoring level (Mt. Meager is currently monitored at a level commensurate with a Very Low threat edifice, according to NVEWS recommendations). All other Canadian volcanoes are unmonitored (other than falling within a regional seismic network emplaced to monitor tectonic earthquakes). Based on the relative threat and scientific uncertainty surrounding some Canadian volcanoes, we outline five strategies to improve volcano monitoring in Canada and lower the uncertainty about eruption style and frequency: installation of real-time seismic stations at all Very High and High threat volcanoes, comprehensive lithofacies studies at Mt. Garibaldi in order to reduce uncertainty surrounding the frequency and style of volcanism, hazard mapping at Mt. Garibaldi and Mt. Cayley and publication of existing hazard analyses and mapping for Mt. Meager as a comprehensive hazard map, regular satellite-based ground deformation monitoring at all Very High to Moderate threat edifices, and, finally, installation of a landslide detection and alerting system at Mt. Meager.
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Wilson, A. M., and M. C. Kelman. Assessing the relative threats from Canadian volcanoes. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/328950.
Full textAbstract:
This report presents an analysis of the threat posed by active volcanoes in Canada and outlines directives to bring Canadian volcano monitoring and research into alignment with global best practices. We analyse 28 Canadian volcanoes in terms of their relative threat to people, aviation and infrastructure. The methodology we apply to assess volcanic threat was developed by the United States Geological Survey (USGS) as part of the 2005 National Volcano Early Warning System (NVEWS). Each volcano is scored on a number of hazard and exposure factors, producing an overall threat score. The overall threat scores are then assigned to five threat categories ranging from Very Low to Very High. We adjusted the methodology slightly to better suit Canadian volcano conditions by adding an additional knowledge uncertainty score; this does not affect the threat scoring or ranking. Our threat assessment places two volcanoes into the Very High threat category (Mt. Meager and Mt. Garibaldi). Three Canadian volcanoes score in the High threat category (Mt. Cayley, Mt. Price and Mt. Edziza) and two volcanoes score in the Moderate threat category (the Nass River group and Mt. Silverthrone). We compare the ranked Canadian volcanoes to similarly scored volcanoes in the USA and assess the current levels of volcano monitoring against internationally recognised monitoring strategies. We find that even the most thoroughly-studied volcano in Canada (Mt. Meager) falls significantly short of the recommended monitoring level (Mt. Meager is currently monitored at a level commensurate with a Very Low threat edifice, according to NVEWS recommendations). All other Canadian volcanoes are unmonitored (other than falling within a regional seismic network emplaced to monitor tectonic earthquakes). Based on the relative threat and scientific uncertainty surrounding some Canadian volcanoes, we outline five strategies to improve volcano monitoring in Canada and lower the uncertainty about eruption style and frequency: installation of real-time seismic stations at all Very High and High threat volcanoes, comprehensive lithofacies studies at Mt. Garibaldi in order to reduce uncertainty surrounding the frequency and style of volcanism, hazard mapping at Mt. Garibaldi and Mt. Cayley and publication of existing hazard analyses and mapping for Mt. Meager as a comprehensive hazard map, regular satellite-based ground deformation monitoring at all Very High to Moderate threat edifices, and, finally, installation of a landslide detection and alerting system at Mt. Meager.