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The 2004 Sumatra earthquake caused nearly 230,000 deaths due to the lack of a tsunami warning system. To prevent such loss of life in the future, the document discusses establishing sea-level sensors and linking warning systems between countries around the Indian Ocean. It also notes challenges like insufficient communications infrastructure and the need for continued public education and evacuation drills.
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The document describes how the Indian Ocean tsunami warning system works. After the devastating 2004 tsunami, countries around the Indian Ocean realized they needed a warning system like the one used in the Pacific. They installed sea level monitoring instruments that detect tsunamis and send data to the Pacific Tsunami Warning Center. The PTWC then issues warnings via radio, TV, SMS, email and other means. Education efforts teach people what to do upon receiving a warning to help minimize damage from future tsunamis.
Report
The 2004 Indian Ocean earthquake and tsunami killed over 230,000 people due to the lack of an early warning system. In response, countries around the Indian Ocean established a Regional Tsunami Watch Providers system to detect tsunamis and quickly notify member countries within 10 minutes. However, challenges remain in fully informing all at-risk populations and strengthening cooperation between countries. Effective tsunami warning systems require sustained funding, public education, and regional coordination.
Tsunami warning system
The document describes a tsunami warning system, explaining that tsunamis are large ocean waves usually caused by undersea earthquakes, volcanic eruptions, or landslides. The system uses seismometers to detect earthquakes, tide gauges to measure changes in sea level, and NOAA and DART stations that can detect tsunamis, allowing warnings to be issued to protect coastal areas from potential damage from an approaching tsunami.
report3
The document discusses the establishment of a tsunami warning system in the Indian Ocean following the devastating 2004 Indian Ocean earthquake and tsunami. Key points include:
1) Several countries installed pressure gauges in the ocean to directly detect tsunami wave movement and share data with meteorological agencies.
2) Scientists study past earthquakes and tsunamis to simulate scenarios and choose the most appropriate forecast when a tsunami occurs.
3) The Japan Meteorological Agency initially provided tsunami forecasts for countries around the Indian Ocean, but responsibility has transitioned to Regional Tsunami Watch Providers consisting of local countries.
4) Challenges remain in fully informing all people of warnings and establishing comprehensive evacuation plans
Tsunami warning system
tsunami warning system is a system which is used to detect tsunami and issue a warning which is used to prevent loss of life and property.
Tsunami warning system
The document describes a tsunami warning system. It discusses how tsunamis are caused by underwater earthquakes or volcanic eruptions. It then outlines the objectives, hardware, software, and current status of a student project to build a system using pressure sensors to detect simulated tsunamis created in a hydrology lab and communicate warnings. The system aims to study how turbulence affects tsunami force and use additional sensors to monitor environmental factors when tsunamis arrive on shore.
Tsunami warning system
A huge tsunami caused massive damage in the Indian Ocean in 2004, killing over 230,000 people and injuring 130,000 more. At the time, there was no tsunami warning system in place, making it impossible to detect the incoming tsunami. In response, the Intergovernmental Oceanographic Commission began efforts to establish an early warning system for the Indian Ocean by increasing seismic monitoring stations. This included the Regional Integrated Multi-Hazard Early Warning System, which allows for better forecasting of tsunami sizes. It is now understood that tsunami preparedness and warning systems in the Indian Ocean have been greatly improved since the 2004 Sumatra earthquake.
Tsunami warning system
The document describes the tsunami warning system. It discusses how tsunamis are detected using seismic alerts, tide gauges, and DART buoys. The system issues alarms that are checked by experts to determine if a tsunami exists. It then provides details on NOAA and the international/regional warning systems used in various ocean basins.
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Sw3 6 14_b
The document describes how the Indian Ocean tsunami warning system works. After the devastating 2004 tsunami, countries around the Indian Ocean realized they needed a warning system like the one used in the Pacific. They installed sea level monitoring instruments that detect tsunamis and send data to the Pacific Tsunami Warning Center. The PTWC then issues warnings via radio, TV, SMS, email and other means. Education efforts teach people what to do upon receiving a warning to help minimize damage from future tsunamis.
Report
The 2004 Indian Ocean earthquake and tsunami killed over 230,000 people due to the lack of an early warning system. In response, countries around the Indian Ocean established a Regional Tsunami Watch Providers system to detect tsunamis and quickly notify member countries within 10 minutes. However, challenges remain in fully informing all at-risk populations and strengthening cooperation between countries. Effective tsunami warning systems require sustained funding, public education, and regional coordination.
Tsunami warning system
The document describes a tsunami warning system, explaining that tsunamis are large ocean waves usually caused by undersea earthquakes, volcanic eruptions, or landslides. The system uses seismometers to detect earthquakes, tide gauges to measure changes in sea level, and NOAA and DART stations that can detect tsunamis, allowing warnings to be issued to protect coastal areas from potential damage from an approaching tsunami.
report3
The document discusses the establishment of a tsunami warning system in the Indian Ocean following the devastating 2004 Indian Ocean earthquake and tsunami. Key points include:
1) Several countries installed pressure gauges in the ocean to directly detect tsunami wave movement and share data with meteorological agencies.
2) Scientists study past earthquakes and tsunamis to simulate scenarios and choose the most appropriate forecast when a tsunami occurs.
3) The Japan Meteorological Agency initially provided tsunami forecasts for countries around the Indian Ocean, but responsibility has transitioned to Regional Tsunami Watch Providers consisting of local countries.
4) Challenges remain in fully informing all people of warnings and establishing comprehensive evacuation plans
Tsunami warning system
tsunami warning system is a system which is used to detect tsunami and issue a warning which is used to prevent loss of life and property.
Tsunami warning system
The document describes a tsunami warning system. It discusses how tsunamis are caused by underwater earthquakes or volcanic eruptions. It then outlines the objectives, hardware, software, and current status of a student project to build a system using pressure sensors to detect simulated tsunamis created in a hydrology lab and communicate warnings. The system aims to study how turbulence affects tsunami force and use additional sensors to monitor environmental factors when tsunamis arrive on shore.
Tsunami warning system
A huge tsunami caused massive damage in the Indian Ocean in 2004, killing over 230,000 people and injuring 130,000 more. At the time, there was no tsunami warning system in place, making it impossible to detect the incoming tsunami. In response, the Intergovernmental Oceanographic Commission began efforts to establish an early warning system for the Indian Ocean by increasing seismic monitoring stations. This included the Regional Integrated Multi-Hazard Early Warning System, which allows for better forecasting of tsunami sizes. It is now understood that tsunami preparedness and warning systems in the Indian Ocean have been greatly improved since the 2004 Sumatra earthquake.
Tsunami warning system
The document describes the tsunami warning system. It discusses how tsunamis are detected using seismic alerts, tide gauges, and DART buoys. The system issues alarms that are checked by experts to determine if a tsunami exists. It then provides details on NOAA and the international/regional warning systems used in various ocean basins.
Earthquake Sumatra - Norm
1) An earthquake with a magnitude of 7.6 struck West Sumatra on September 30, 2009, destroying many buildings in Padang city and surrounding villages.
2) The earthquake damaged over 180,000 buildings and caused a death toll that was expected to reach thousands.
3) In the aftermath, relief efforts were focused on search and rescue operations, clearing debris, preventing disease outbreaks, and setting up temporary shelters and classrooms for displaced residents.
Sumatra Earthquake
A short document provided information about an earthquake that occurred in Sumatra, Indonesia in 2009. No other details were included in the document beyond the location and year. The document concluded by informing the reader that they could continue listening to music or press 'Esc' to exit.
Earthqauke
The 2004 Sumatra earthquake occurred off the west coast of Sumatra, Indonesia on December 26th. It was one of the largest earthquakes ever recorded, with a magnitude of 9.3. The earthquake triggered a devastating tsunami that spread throughout the Indian Ocean and affected many countries. Over 230,000 people were killed in 14 countries as a result of the earthquake and tsunami. The earthquake was caused by subduction along the boundary between the Indian and Burma tectonic plates.
Sumatra Earthquake
An 8.4 magnitude earthquake occurred off the coast of southern Sumatra on September 12, 2007, followed by a 7.9 magnitude aftershock. This caused 25 deaths and 161 injuries. Seismograph recordings from stations in Washington state, like the one near the LIGO detector, showed arrivals of seismic P and S waves around 21 minutes after the earthquake began. This provides evidence that the gravitational waves detected by LIGO at this time were caused by this Sumatra earthquake.
Sumatra Earthquake Presentation
An 8.4 magnitude earthquake occurred off the coast of southern Sumatra on September 12, 2007, followed by a 7.9 magnitude aftershock. This caused 25 deaths and 161 injuries. Seismograph recordings from stations in Washington state, like the one near the LIGO detector, showed arrivals of seismic P and S waves around 21 minutes after the earthquake began. This provides evidence that the gravitational waves detected by LIGO at this time were caused by this Sumatra earthquake.
The tsunami warning system in Indian oceam
1) The 2004 Sumatra earthquake triggered a devastating tsunami that reached countries around the Indian Ocean and caused widespread damage and loss of life.
2) Unlike the Pacific Ocean, there was no tsunami warning system in place around the Indian Ocean at the time to detect tsunamis and warn countries.
3) In response to the disaster, the United Nations held a conference to discuss building a tsunami warning mechanism for the Indian Ocean based on systems that exist for the Pacific Ocean.
Tsunami 2004
The 2004 Indian Ocean earthquake was a 9.1-9.3 magnitude earthquake that triggered a series of devastating tsunamis. It killed over 225,000 people across 11 countries, with Indonesia, Sri Lanka, India, and Thailand impacted most severely. Waves as high as 30 meters inundated coastal communities. It was one of the deadliest natural disasters in history and caused global seismic effects.
Sw3 6 14_b
The document describes how the Indian Ocean tsunami warning system works. After the devastating 2004 tsunami, countries around the Indian Ocean realized they needed a warning system like the one used in the Pacific. They installed sea level monitoring instruments that detect tsunamis and send data to the Pacific Tsunami Warning Center. The PTWC then issues warnings via radio, TV, SMS, email and other means. Education efforts teach people what to do upon receiving a warning to help minimize damage from future tsunamis.
How tsunami warning system is developed
The document discusses how tsunami early warning systems have been developed since the devastating 2004 Indian Ocean tsunami. It describes how, prior to 2004, few monitoring instruments or warning agencies existed in the Indian Ocean. Now, two warning centers in Hawaii and Japan receive earthquake data to assess tsunami potential and alert national agencies, though technology has still not reached all areas vulnerable to tsunamis.
SW3 7 19_no_3
The Indian Ocean tsunami warning system works as follows:
1) Earthquakes in the Indian Ocean are detected by various data sources which transmit this data to warning centers in Hawaii and Japan to analyze and determine potential for tsunamis.
2) These warning centers predict tsunami arrival times and share this information with regional agencies.
3) These regional agencies then alert local populations through methods like radio, TV, SMS, and loudspeakers. Drills help facilitate quick evacuations.
Sw3 6
The document discusses the tsunami warning system in the Indian Ocean following the devastating 2004 tsunami. It describes how prior to 2004 there was no monitoring system, but afterwards a network of seismographic centers was established across the Indian Ocean to detect potential tsunamis and warn communities. The system involves the Pacific Tsunami Warning Center (PTWC) investigating earthquakes and oceanography data and checking tide gauges to determine if a tsunami warning needs to be issued.
Indian Ocean warning system
The tsunami warning system in the Indian Ocean works through coordination between several organizations. The Pacific Tsunami Warning Center (PTWC) and Japan Meteorological Agency (JMA) detect earthquakes and send warning information to the Asian Disaster Preparedness Center (ADPC). ADPC then disseminates warnings to countries near the Indian Ocean through various electronic and manual methods. While many areas have improved education and infrastructure, some remote regions still lack capabilities for earthquake and tsunami preparedness. The overall system has increased awareness and protected lives, but more remains to be done to reach all at-risk communities.
GradeAssignment6B
The document discusses the tsunami warning system in the Indian Ocean. It describes the old system, which lacked coordination between countries. This led to disasters like the 2004 Indian Ocean tsunami that killed over 230,000 people. Now, two main warning centers - the Pacific Tsunami Warning Center and Japan Meteorological Agency - work together to quickly analyze earthquakes and predict potential tsunamis. They use seismic and sea level monitoring instruments and communication networks to alert countries via radio, TV, internet, sirens and alarms.
GradeAssignment6B
The document discusses the tsunami warning system in the Indian Ocean. It describes the old warning system which lacked coordination between countries. It then discusses the devastating 2004 Indian Ocean tsunami that killed over 230,000 people and led to improvements like more sea level monitors and better international communication. Now two main warning centers, the Pacific Tsunami Warning Center and Japan Meteorological Agency, analyze earthquakes and predict potential tsunami impacts, alerting countries within 20 minutes through radio, TV, internet, sirens and other means.
Slide
1. The document discusses the process of introducing a tsunami warning system in the Indian Ocean after the 2004 tsunami killed over 230,000 people without a warning system.
2. The warning system collects earthquake data from sensors at warning centers in Hawaii and Japan which then provide alerts to countries in the Indian Ocean.
3. The Indian Ocean countries are responsible for alerting their populations after receiving watches from the two warning centers through methods like radio, TV, SMS, and speakers.
Tsunami Warning System
The document discusses the tsunami early warning system in the Indian Ocean. The system works by having centers in the Pacific and Indian Oceans receive earthquake data and tidal gauge information to determine if a quake could produce a tsunami. If so, they issue watches to countries which then alert their populations through various methods like radio, SMS, or evacuation drills. However, some remote areas still lack robust warning systems.
Homework-tsunami warning system
The Indian Ocean tsunami warning system detects tsunamis and issues warnings to prevent loss of life and property. The Pacific Tsunami Warning Center and Japan Meteorological Agency are responsible for warnings in the Indian Ocean. Warnings are delivered by radio, TV, SMS, email and sirens. The 2004 Indian Ocean tsunami that killed 230,000 people exposed deficiencies in the early warning system, leading to improvements with more seismic and ocean monitoring stations across the region.
tsunami warning system (synofsis)
The document discusses tsunami warning systems. It provides details on:
1) How tsunami warning systems detect tsunamis using networks of seismic stations, sea level monitoring stations like tide gauges and DART buoys, and issue warnings.
2) The two main types of warning systems - international systems that cover ocean basins and national systems that provide very quick, localized warnings.
3) How seismic data, tide gauge data and DART buoy data are used to detect tsunamis, characterize earthquake sources, monitor tsunami progress, and issue or cancel warnings.
The tsunami warning_system
The Indian tsunami warning system was created after the devastating 2004 Indian Ocean tsunami. It is coordinated by the UN's International Oceanographic Commission and involves national warning centers and monitoring networks set up by individual countries over five years. The system analyzes data from seismic and sea level sensors to detect potential tsunamis. Warning information is shared between the Pacific Tsunami Warning Center in Hawaii, the Japan Meteorological Agency, and Regional Tsunami Watch Providers in Indian Ocean countries. The goal is to provide accurate and timely warnings to better protect lives.
The tsunami warning_system
The Indian tsunami warning system was created after the devastating 2004 Indian Ocean tsunami. It is coordinated by the UN's International Oceanographic Commission and involves national warning centers and monitoring networks set up by individual countries over five years. The system analyzes data from seismic and sea level sensors to detect potential tsunamis. Warning information is shared between the Pacific Tsunami Warning Center in Hawaii, the Japan Meteorological Agency, and Regional Tsunami Watch Providers in other Indian Ocean countries. The goal is to provide accurate and timely warnings to better protect lives.
Article3
1) The Indian Ocean tsunami warning system was established after the devastating 2004 tsunami to help detect future tsunamis and warn people.
2) The system works by sending seismic data from the Indian Ocean to warning centers in Hawaii and Japan to analyze if an earthquake could generate a tsunami, and then various methods are used to disseminate warnings to the public.
3) While the technology has not reached all regions yet, efforts by governments and community groups are helping to improve preparedness and save lives.
Indian ocean tsunami warning system warks.
The Indian Ocean tsunami warning system relies on two centers, the Pacific Tsunami Warning Center and a center in Japan, to analyze earthquake data and determine if a tsunami will occur and when it will arrive. If a tsunami is predicted, warnings are sent to countries in the Indian Ocean region through organizations like the Asian Disaster Preparedness Center to allow time for evacuation. This system was implemented after the deadly 2004 Indian Ocean tsunami to help detect future tsunamis and save lives through early warning.
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Earthquake Sumatra - Norm
1) An earthquake with a magnitude of 7.6 struck West Sumatra on September 30, 2009, destroying many buildings in Padang city and surrounding villages.
2) The earthquake damaged over 180,000 buildings and caused a death toll that was expected to reach thousands.
3) In the aftermath, relief efforts were focused on search and rescue operations, clearing debris, preventing disease outbreaks, and setting up temporary shelters and classrooms for displaced residents.
Sumatra Earthquake
A short document provided information about an earthquake that occurred in Sumatra, Indonesia in 2009. No other details were included in the document beyond the location and year. The document concluded by informing the reader that they could continue listening to music or press 'Esc' to exit.
Earthqauke
The 2004 Sumatra earthquake occurred off the west coast of Sumatra, Indonesia on December 26th. It was one of the largest earthquakes ever recorded, with a magnitude of 9.3. The earthquake triggered a devastating tsunami that spread throughout the Indian Ocean and affected many countries. Over 230,000 people were killed in 14 countries as a result of the earthquake and tsunami. The earthquake was caused by subduction along the boundary between the Indian and Burma tectonic plates.
Sumatra Earthquake
An 8.4 magnitude earthquake occurred off the coast of southern Sumatra on September 12, 2007, followed by a 7.9 magnitude aftershock. This caused 25 deaths and 161 injuries. Seismograph recordings from stations in Washington state, like the one near the LIGO detector, showed arrivals of seismic P and S waves around 21 minutes after the earthquake began. This provides evidence that the gravitational waves detected by LIGO at this time were caused by this Sumatra earthquake.
Sumatra Earthquake Presentation
An 8.4 magnitude earthquake occurred off the coast of southern Sumatra on September 12, 2007, followed by a 7.9 magnitude aftershock. This caused 25 deaths and 161 injuries. Seismograph recordings from stations in Washington state, like the one near the LIGO detector, showed arrivals of seismic P and S waves around 21 minutes after the earthquake began. This provides evidence that the gravitational waves detected by LIGO at this time were caused by this Sumatra earthquake.
The tsunami warning system in Indian oceam
1) The 2004 Sumatra earthquake triggered a devastating tsunami that reached countries around the Indian Ocean and caused widespread damage and loss of life.
2) Unlike the Pacific Ocean, there was no tsunami warning system in place around the Indian Ocean at the time to detect tsunamis and warn countries.
3) In response to the disaster, the United Nations held a conference to discuss building a tsunami warning mechanism for the Indian Ocean based on systems that exist for the Pacific Ocean.
Tsunami 2004
The 2004 Indian Ocean earthquake was a 9.1-9.3 magnitude earthquake that triggered a series of devastating tsunamis. It killed over 225,000 people across 11 countries, with Indonesia, Sri Lanka, India, and Thailand impacted most severely. Waves as high as 30 meters inundated coastal communities. It was one of the deadliest natural disasters in history and caused global seismic effects.
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The document describes how the Indian Ocean tsunami warning system works. After the devastating 2004 tsunami, countries around the Indian Ocean realized they needed a warning system like the one used in the Pacific. They installed sea level monitoring instruments that detect tsunamis and send data to the Pacific Tsunami Warning Center. The PTWC then issues warnings via radio, TV, SMS, email and other means. Education efforts teach people what to do upon receiving a warning to help minimize damage from future tsunamis.
How tsunami warning system is developed
The document discusses how tsunami early warning systems have been developed since the devastating 2004 Indian Ocean tsunami. It describes how, prior to 2004, few monitoring instruments or warning agencies existed in the Indian Ocean. Now, two warning centers in Hawaii and Japan receive earthquake data to assess tsunami potential and alert national agencies, though technology has still not reached all areas vulnerable to tsunamis.
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The Indian Ocean tsunami warning system works as follows:
1) Earthquakes in the Indian Ocean are detected by various data sources which transmit this data to warning centers in Hawaii and Japan to analyze and determine potential for tsunamis.
2) These warning centers predict tsunami arrival times and share this information with regional agencies.
3) These regional agencies then alert local populations through methods like radio, TV, SMS, and loudspeakers. Drills help facilitate quick evacuations.
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The document discusses the tsunami warning system in the Indian Ocean following the devastating 2004 tsunami. It describes how prior to 2004 there was no monitoring system, but afterwards a network of seismographic centers was established across the Indian Ocean to detect potential tsunamis and warn communities. The system involves the Pacific Tsunami Warning Center (PTWC) investigating earthquakes and oceanography data and checking tide gauges to determine if a tsunami warning needs to be issued.
Indian Ocean warning system
The tsunami warning system in the Indian Ocean works through coordination between several organizations. The Pacific Tsunami Warning Center (PTWC) and Japan Meteorological Agency (JMA) detect earthquakes and send warning information to the Asian Disaster Preparedness Center (ADPC). ADPC then disseminates warnings to countries near the Indian Ocean through various electronic and manual methods. While many areas have improved education and infrastructure, some remote regions still lack capabilities for earthquake and tsunami preparedness. The overall system has increased awareness and protected lives, but more remains to be done to reach all at-risk communities.
GradeAssignment6B
The document discusses the tsunami warning system in the Indian Ocean. It describes the old system, which lacked coordination between countries. This led to disasters like the 2004 Indian Ocean tsunami that killed over 230,000 people. Now, two main warning centers - the Pacific Tsunami Warning Center and Japan Meteorological Agency - work together to quickly analyze earthquakes and predict potential tsunamis. They use seismic and sea level monitoring instruments and communication networks to alert countries via radio, TV, internet, sirens and alarms.
GradeAssignment6B
The document discusses the tsunami warning system in the Indian Ocean. It describes the old warning system which lacked coordination between countries. It then discusses the devastating 2004 Indian Ocean tsunami that killed over 230,000 people and led to improvements like more sea level monitors and better international communication. Now two main warning centers, the Pacific Tsunami Warning Center and Japan Meteorological Agency, analyze earthquakes and predict potential tsunami impacts, alerting countries within 20 minutes through radio, TV, internet, sirens and other means.
Slide
1. The document discusses the process of introducing a tsunami warning system in the Indian Ocean after the 2004 tsunami killed over 230,000 people without a warning system.
2. The warning system collects earthquake data from sensors at warning centers in Hawaii and Japan which then provide alerts to countries in the Indian Ocean.
3. The Indian Ocean countries are responsible for alerting their populations after receiving watches from the two warning centers through methods like radio, TV, SMS, and speakers.
Tsunami Warning System
The document discusses the tsunami early warning system in the Indian Ocean. The system works by having centers in the Pacific and Indian Oceans receive earthquake data and tidal gauge information to determine if a quake could produce a tsunami. If so, they issue watches to countries which then alert their populations through various methods like radio, SMS, or evacuation drills. However, some remote areas still lack robust warning systems.
Homework-tsunami warning system
The Indian Ocean tsunami warning system detects tsunamis and issues warnings to prevent loss of life and property. The Pacific Tsunami Warning Center and Japan Meteorological Agency are responsible for warnings in the Indian Ocean. Warnings are delivered by radio, TV, SMS, email and sirens. The 2004 Indian Ocean tsunami that killed 230,000 people exposed deficiencies in the early warning system, leading to improvements with more seismic and ocean monitoring stations across the region.
tsunami warning system (synofsis)
The document discusses tsunami warning systems. It provides details on:
1) How tsunami warning systems detect tsunamis using networks of seismic stations, sea level monitoring stations like tide gauges and DART buoys, and issue warnings.
2) The two main types of warning systems - international systems that cover ocean basins and national systems that provide very quick, localized warnings.
3) How seismic data, tide gauge data and DART buoy data are used to detect tsunamis, characterize earthquake sources, monitor tsunami progress, and issue or cancel warnings.
The tsunami warning_system
The Indian tsunami warning system was created after the devastating 2004 Indian Ocean tsunami. It is coordinated by the UN's International Oceanographic Commission and involves national warning centers and monitoring networks set up by individual countries over five years. The system analyzes data from seismic and sea level sensors to detect potential tsunamis. Warning information is shared between the Pacific Tsunami Warning Center in Hawaii, the Japan Meteorological Agency, and Regional Tsunami Watch Providers in Indian Ocean countries. The goal is to provide accurate and timely warnings to better protect lives.
The tsunami warning_system
The Indian tsunami warning system was created after the devastating 2004 Indian Ocean tsunami. It is coordinated by the UN's International Oceanographic Commission and involves national warning centers and monitoring networks set up by individual countries over five years. The system analyzes data from seismic and sea level sensors to detect potential tsunamis. Warning information is shared between the Pacific Tsunami Warning Center in Hawaii, the Japan Meteorological Agency, and Regional Tsunami Watch Providers in other Indian Ocean countries. The goal is to provide accurate and timely warnings to better protect lives.
Article3
1) The Indian Ocean tsunami warning system was established after the devastating 2004 tsunami to help detect future tsunamis and warn people.
2) The system works by sending seismic data from the Indian Ocean to warning centers in Hawaii and Japan to analyze if an earthquake could generate a tsunami, and then various methods are used to disseminate warnings to the public.
3) While the technology has not reached all regions yet, efforts by governments and community groups are helping to improve preparedness and save lives.
Indian ocean tsunami warning system warks.
The Indian Ocean tsunami warning system relies on two centers, the Pacific Tsunami Warning Center and a center in Japan, to analyze earthquake data and determine if a tsunami will occur and when it will arrive. If a tsunami is predicted, warnings are sent to countries in the Indian Ocean region through organizations like the Asian Disaster Preparedness Center to allow time for evacuation. This system was implemented after the deadly 2004 Indian Ocean tsunami to help detect future tsunamis and save lives through early warning.
Tsunami warning system
The document describes how the tsunami warning system in the Indian Ocean works. It consists of sensors to detect tsunamis, centers to analyze earthquake data (PTWC, JMA), and regional watch providers (RTWPs) that issue warnings. When an earthquake occurs, data is sent to analysis centers, which determine the tsunami risk and send warnings to affected regions via email and news. This system was developed after the devastating 2004 Indian Ocean tsunami, and aims to protect lives by alerting people of impending tsunamis.
Tsunami warning system
The document describes how the tsunami warning system in the Indian Ocean works. It consists of sensors to detect tsunamis, centers to analyze earthquake data (PTWC, JMA), and regional watch providers (RTWPs) that issue warnings. When an earthquake occurs, data is sent to analysis centers which determine the tsunami risk and send warnings to RTWPs. These regional groups then disseminate alerts to the public via email and news to help protect lives. The 2004 Indian Ocean tsunami that killed over 200,000 people showed the need for an improved warning system.
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Tsunami warnig organizations
The document discusses the tsunami warning system in the Indian Ocean. It describes the damage from the 2004 tsunami, the lack of warning systems beforehand, and improvements made after including more seismographic and sea level monitoring centers. It outlines the major tsunami warning organizations like the Pacific Tsunami Warning Center and Japan Meteorological Agency, as well as the growing role of regional warning providers in Indian Ocean countries.
# 3
After the 2004 Indian Ocean tsunami, tsunami warning systems were established across the Indian Ocean. This included a network of seismographs to detect earthquakes and tide gauges to monitor sea levels. The key warning centers are the Pacific Tsunami Warning Center (PTWC) and Japan Meteorological Agency (JMA). PTWC uses earthquake and oceanographic databases along with tide gauge readings to check for tsunamis without mistakes. It has time to issue warnings due to tsunamis traveling slowly through the ocean. PTWC's DART buoy system provides continuous tsunami reporting and improved forecasting and warnings.
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Skybuffer AI, built on the robust SAP Business Technology Platform (SAP BTP), is the latest and most advanced version of our AI development, reaffirming our commitment to delivering top-tier AI solutions. Skybuffer AI harnesses all the innovative capabilities of the SAP BTP in the AI domain, from Conversational AI to cutting-edge Generative AI and Retrieval-Augmented Generation (RAG). It also helps SAP customers safeguard their investments into SAP Conversational AI and ensure a seamless, one-click transition to SAP Business AI.
With Skybuffer AI, various AI models can be integrated into a single communication channel such as Microsoft Teams. This integration empowers business users with insights drawn from SAP backend systems, enterprise documents, and the expansive knowledge of Generative AI. And the best part of it is that it is all managed through our intuitive no-code Action Server interface, requiring no extensive coding knowledge and making the advanced AI accessible to more users.
Choosing The Best AWS Service For Your Website + API.pptx
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
JavaLand 2024: Application Development Green Masterplan
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AWS Cloud Cost Optimization Presentation.pptx
This presentation provides valuable insights into effective cost-saving techniques on AWS. Learn how to optimize your AWS resources by rightsizing, increasing elasticity, picking the right storage class, and choosing the best pricing model. Additionally, discover essential governance mechanisms to ensure continuous cost efficiency. Whether you are new to AWS or an experienced user, this presentation provides clear and practical tips to help you reduce your cloud costs and get the most out of your budget.
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Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
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June Patch Tuesday
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
A Comprehensive Guide to DeFi Development Services in 2024
DeFi represents a paradigm shift in the financial industry. Instead of relying on traditional, centralized institutions like banks, DeFi leverages blockchain technology to create a decentralized network of financial services. This means that financial transactions can occur directly between parties, without intermediaries, using smart contracts on platforms like Ethereum.
In 2024, we are witnessing an explosion of new DeFi projects and protocols, each pushing the boundaries of what’s possible in finance.
In summary, DeFi in 2024 is not just a trend; it’s a revolution that democratizes finance, enhances security and transparency, and fosters continuous innovation. As we proceed through this presentation, we'll explore the various components and services of DeFi in detail, shedding light on how they are transforming the financial landscape.
At Intelisync, we specialize in providing comprehensive DeFi development services tailored to meet the unique needs of our clients. From smart contract development to dApp creation and security audits, we ensure that your DeFi project is built with innovation, security, and scalability in mind. Trust Intelisync to guide you through the intricate landscape of decentralized finance and unlock the full potential of blockchain technology.
Ready to take your DeFi project to the next level? Partner with Intelisync for expert DeFi development services today!
TrustArc Webinar - 2024 Global Privacy Survey
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Public CyberSecurity Awareness Presentation 2024.pptx
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Fueling AI with Great Data with Airbyte Webinar
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Introduction of Cybersecurity with OSS at Code Europe 2024
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
Skybuffer SAM4U tool for SAP license adoption
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
5th LF Energy Power Grid Model Meet-up Slides
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
HCL Notes and Domino License Cost Reduction in the World of DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
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Ss3
- 1. Tsunami in Indian Ocean 1. Sumatra Earthquake in 2004 2. Not to repeat 3. Tsunami warning system 4. Infrastructure problem 1 5. Infrastructure problem 2 Summary Reference
- 2. Sumatra Earthquake in 2004 ● Almost 230,000 people died ● No tsunami warning system ● If there was a association system for tsunami? ● If the people there had more detailed knowledge for tsunami?
- 3. Not to repeat ● Setting sea-level buoys as sensors ● Setting tsunami warning systems ● Link up with Pacific Tsunami Warning Center, or Japan Meteorological Agency ● Link up of nations around the Indian Ocean
- 4. Tsunami warning system ● A system which inform, or warn the tsunami coming after a big earthquake was occurred. ● Calculate its height, speed, or broadness etc from earthquake itself, from buoys observation results ect
- 5. Infrastructure problem 1 ● Not everyone has his/her cell phone now ● Not every area has sufficient tsunami warning system now ● Other materials – airwaves, radio, television, SMS, e-mail etc
- 6. Infrastructure problem 2 ● Repeating drills is needed ● For example, preparing the hazard manuals, evacuation area, moving virtually, foods, or water
- 7. Summary ● If same earthquake was occurred in the next moment, it may also be a result of terrible damage ● Drill should be continued until the result is made as small as possible
- 8. Reference ● Articles http://www.trust.org/alertnet/news/how-the-indian-ocean-tsunami-warning-system-works ● Images None