This document provides an overview of the HAZUS-MH software program developed by FEMA for estimating potential losses from natural disasters such as earthquakes, hurricanes, and floods. It discusses how HAZUS-MH uses GIS technology and nationwide databases to model physical, economic, and social impacts for different hazard scenarios. The document also summarizes the software's capabilities for risk assessment, loss estimation, and supporting mitigation and emergency management planning.
On July 16, 2021 ICLR conducted a Friday Forum webinar titled 'Edmonton's approach to stormwater flood management', led by Susan Ancel, Director of One Water Planning for EPCOR Water Services in Edmonton, Alberta. EPCOR has developed a $1.6 billion Stormwater Integrated Resource Plan (SIRP) to mitigate the impacts of flooding in the community. SIRP envisions all stakeholders – citizens, businesses, industry, the City of Edmonton and EPCOR working together to build a flood-resilient future. The goal is to Slow, Move, Secure, Predict and Respond to flooding events to prevent or reduce the impact. EPCOR’s planned flood mitigations projects will take 20 years to complete. The types of projects that are included in SIRP include dry ponds, low impact development, tunnels, combined sewer separation, outfall control gates, inflow/infiltration reduction, building flood proofing, increased sensors and automatic controls and emergency response equipment. The plan was developed through consultation with Climate Change Adaptation, Insurance and Financial sector groups across North America.
Susan Ancel is the Director of One Water Planning for EPCOR Water Services in Edmonton, Alberta. In her prior role, she was Director of Stormwater Strategies, where she was responsible for developing an Integrated Resource Plan for flood mitigation that considered capital and operational risk mitigation planning, as well as the interrelationships between utilities, insurance, disaster response agencies and the public. Prior to her Stormwater Strategies role she was the Director of Water Distribution and Transmission for EPCOR. Susan is a Mechanical engineer with over 30 years’ experience with the municipal utility sector. She has also served on numerous industry committees including the Board of Directors for the Geospatial Information Technology Association (GITA) from 2001 to 2007 and was President of GITA in 2006. She currently serves on the Board of Directors for Canadian Water Network.
Automated Catastrophic Events Geographic data load using FME PlatformConsortech
Guy Carpenter & Company, LLC is a leading global risk and reinsurance solutions provider with over $1B in revenues. Guy Carpenter needed automation around loading real-time catastrophic events data feeds such as hurricanes, hail, tornados, wind, floods, wildfires and earthquakes from across the globe. The feeds are received in various source formats such as .SHP, KML, CSV and JSON/GeoJSON from different APIs provided by various vendors. Guy Carpenter used the FME Data Integration Platform to develop complex automated data load pipelines to extract, transform and load all of these real-time data events into our proprietary analytics platform. Multiple scheduled jobs are configured in FME to run these transformations with high frequency, daily, to load vector and raster format data. Once the data is loaded into the target database, the users can monitor these catastrophic events in an easy to use workflow in our application. A breakdown of exposures by severity enables users to quickly view the full extent of the event and then easily drill into specific severities. The map layers are then used to estimate the portfolio exposure.
On July 16, 2021 ICLR conducted a Friday Forum webinar titled 'Edmonton's approach to stormwater flood management', led by Susan Ancel, Director of One Water Planning for EPCOR Water Services in Edmonton, Alberta. EPCOR has developed a $1.6 billion Stormwater Integrated Resource Plan (SIRP) to mitigate the impacts of flooding in the community. SIRP envisions all stakeholders – citizens, businesses, industry, the City of Edmonton and EPCOR working together to build a flood-resilient future. The goal is to Slow, Move, Secure, Predict and Respond to flooding events to prevent or reduce the impact. EPCOR’s planned flood mitigations projects will take 20 years to complete. The types of projects that are included in SIRP include dry ponds, low impact development, tunnels, combined sewer separation, outfall control gates, inflow/infiltration reduction, building flood proofing, increased sensors and automatic controls and emergency response equipment. The plan was developed through consultation with Climate Change Adaptation, Insurance and Financial sector groups across North America.
Susan Ancel is the Director of One Water Planning for EPCOR Water Services in Edmonton, Alberta. In her prior role, she was Director of Stormwater Strategies, where she was responsible for developing an Integrated Resource Plan for flood mitigation that considered capital and operational risk mitigation planning, as well as the interrelationships between utilities, insurance, disaster response agencies and the public. Prior to her Stormwater Strategies role she was the Director of Water Distribution and Transmission for EPCOR. Susan is a Mechanical engineer with over 30 years’ experience with the municipal utility sector. She has also served on numerous industry committees including the Board of Directors for the Geospatial Information Technology Association (GITA) from 2001 to 2007 and was President of GITA in 2006. She currently serves on the Board of Directors for Canadian Water Network.
Automated Catastrophic Events Geographic data load using FME PlatformConsortech
Guy Carpenter & Company, LLC is a leading global risk and reinsurance solutions provider with over $1B in revenues. Guy Carpenter needed automation around loading real-time catastrophic events data feeds such as hurricanes, hail, tornados, wind, floods, wildfires and earthquakes from across the globe. The feeds are received in various source formats such as .SHP, KML, CSV and JSON/GeoJSON from different APIs provided by various vendors. Guy Carpenter used the FME Data Integration Platform to develop complex automated data load pipelines to extract, transform and load all of these real-time data events into our proprietary analytics platform. Multiple scheduled jobs are configured in FME to run these transformations with high frequency, daily, to load vector and raster format data. Once the data is loaded into the target database, the users can monitor these catastrophic events in an easy to use workflow in our application. A breakdown of exposures by severity enables users to quickly view the full extent of the event and then easily drill into specific severities. The map layers are then used to estimate the portfolio exposure.
Getting the Most From Weather Data - Daniel Pearson, Mark Lenz, Nelun Fernand...TWCA
TWCA Fall Conference 2019 - (helpful links below)
USGS Links:
Water Alert - https://maps.waterdata.usgs.gov/mapper/wateralert/
National Water Information System: Web Interface - https://waterdata.usgs.gov/tx/nwis/current?type=flow
Water Services - https://waterservices.usgs.gov/
Texas Water Dashboard - https://txpub.usgs.gov/txwaterdashboard
NWS Austin/San Antonio - weather.gov/sanantonio
TWDB Links:
Water Data for Texas – https://waterdatafortexas.org/
Flood viewer - https://map.texasflood.org/#/
TexMesonet - https://www.texmesonet.org/
LCRA Hyrdromet - hydromet.lcra.org
Appendix D Hazard Analysis ProcessInstructor GuideAppendix .docxjustine1simpson78276
Appendix D: Hazard Analysis Process
Instructor Guide
Appendix D
HAZARD ANALYSIS PROCESS
Finding out what the hazards are is the first step in any effort to reduce community vulnerability. Hazard analysis involves identifying all of the hazards that potentially threaten a community and analyzing them individually to determine the degree of threat that is posed by each. Hazard analysis determines:
· What hazards can occur.
· How often they are likely to occur.
· How severe the situation is likely to get.
· How these hazards are likely to affect the community.
· How vulnerable the community is to the hazard.
This information is used in the development of both mitigation and emergency plans. It indicates which hazards merit special attention, what actions might be taken to reduce the impact of those hazards, and what resources are likely to be needed.
Hazard analysis requires completion of five steps:
1. Identify the hazards.
2. Profile each hazard.
3. Develop a community profile.
4.
Compare and prioritize risk.
5.
Create and apply scenarios.
Step 1: Identify Hazards
The first step in hazard analysis is to put together a list of hazards that may occur in the community. A community hazard analysis should consider all types of hazards. Categories of hazards include natural hazards such as storms and seismological events; technological hazards such as nuclear power plants, oil or gas pipelines and other hazardous materials facilities; and civil or political hazards such as a neighborhood that has been the scene of rioting or large demonstrations. Cascading emergencies—situations when one hazard triggers others in a cascading fashion—should be considered. For example, an earthquake that ruptured natural gas pipelines could result in fires and explosions that dramatically escalate the type and magnitude of events. Information about hazards may be collected from existing analyses and historical data.
Existing Hazard Analysis. If the community has an existing hazard analysis, don’t “reinvent the wheel”. The best way to begin is by reviewing the existing hazard analysis and identifying any changes that may have occurred since it was developed or last updated. Examples of the kinds of changes within or near the community that could cause hazard analysis information to change over time include:
· New mitigation measures (e.g., a new levee or overflow spillway, new zoning ordinances designed to reduce the amount of damage caused by a specific hazard, or reconstruction of bridges and overpasses).
· The opening or closing of facilities or structures that pose potential secondary hazards (e.g., hazardous materials facilities and transport routes).
When reviewing the hazard analysis, determine three things:
1.
Do all of the hazards included in the hazard analysis still pose a threat to the community?
2.
Are there hazards that are not included in the existing analysis that pose a potential threat to the community?
3.
Does the hazard ana.
Applied Geovisualization for Hurricane Surge Risk Awareness and Emergency Man...Keith VanGraafeiland
Presented at the 2013 CERF Conference in San Diego, California - While storm tracks, intensity forecasts, and tabular metrics have become ubiquitous, they do little to convey the highly localized effects of potential flooding at municipal or facility scales. Visualizations of storm surge forecasts offer opportunities to improve risk awareness and communication in emergency situations. Enhanced visualizations that better communicate “on the ground” potential flooding impacts play an increasingly critical role in risk communication and emergency response. Recent storm surge modeling efforts in Florida, North Carolina, and Virginia will be discussed for their contributions to enhanced risk communication and provision of diverse forms of storm surge geovisualization. In these case studies, GIS and cartographic techniques combine surge forecasts, orthophotography, and building planimetrics for determination of critical infrastructure accessibility, economic losses, and identification of social vulnerabilities. Such applications require cautious and informed use of disparate data (meteorological, geospatial, infrastructural). Awareness of surge model limitations, factors inhibiting spatial representation, and technical and communications challenges is required.
5th International Disaster and Risk Conference IDRC 2014 Integrative Risk Management - The role of science, technology & practice 24-28 August 2014 in Davos, Switzerland
ICLR Friday Forum: A Profile of Earthquake Risk in Canada (April 17, 2020) glennmcgillivray
On April 17, 2020 ICLR conducted a Friday Forum webinar titled 'A Profile of Earthquake Risk in Canada' led by Murray Journeay of the Geological Survey of Canada.
Individuals, businesses and government leaders are increasingly receptive to the principles of disaster resilience planning, but are unlikely to take actions in advance of a disaster without a clearly defined value proposition. While the rationale and evidence for substantial financial returns on risk reduction investments are well known, there remain significant barriers in transforming this knowledge into actions that are required on the ground to reduce the impacts of future disaster events. As a result, the short-term economic gains of continued urban growth and development that are driving escalating trends in vulnerability and risk are increasingly outpacing the willingness of individuals, businesses and institutions to invest in longer-term disaster resilience strategies. To address this challenge, the Geological Survey of Canada is developing a national earthquake risk model to establish a base of evidence to inform disaster resilience planning in accordance with policy and technical implementation guidelines established as part of the Sendai Framework for Disaster Risk Reduction (United Nations, 2015: SFDRR). The national risk extends the scope of probabilistic seismic hazard models currently used to inform Canada’s National Building Code (NBCC) by introducing a structured framework of indicators that profile the physical, social and economic dimensions of earthquake risk at the neighbourhood scale. Risk metrics are used to both analyze existing baseline conditions of earthquake risk, and to evaluate opportunities for risk reduction through proactive investments in seismic mitigation.
Murray Journeay has spent the last thirty years exploring the geological architecture and evolution of mountain systems in western Canada, and the ways in which communities interact with this landscape in terms of sustainable land use and disaster resilience planning. Research activities with the Geological Survey of Canada have ranged from field-based investigations of regional tectonic processes that drive crustal deformation and related earthquake hazards in Western Canada to computer-based modelling of earthquake risk and risk reduction strategies.
Using Data Integration to Deliver Intelligence to Anyone, AnywhereSafe Software
Data integration makes it possible to deliver intelligence and keep decision makers, first responders, and civilians informed. For over 20 years, FME has been trusted by federal governments to move data from nearly any source to the target destination, while saving time and budget resources.
With FME, federal governments can deliver open data, improve emergency & disaster response, enhance land management, turn public safety and defense into actionable results, and integrate & deliver location intelligence.
Lesson 5. Crisis Mapping and Community Drillsgicait ait
Crisis mapping is the real time gathering, display and analysis of data during a disaster, it is an important but challenging task.
This module discussed three types of crisis mapping: Situational reporting, Damage assessment and Needs assessment.
This presentations explains the main definitions related to flood risk management. and how to assess the Vulnerability of the society towards flood dangers. and flood risk analysis process. and gives some examples of flood risk assessment applications.
Getting the Most From Weather Data - Daniel Pearson, Mark Lenz, Nelun Fernand...TWCA
TWCA Fall Conference 2019 - (helpful links below)
USGS Links:
Water Alert - https://maps.waterdata.usgs.gov/mapper/wateralert/
National Water Information System: Web Interface - https://waterdata.usgs.gov/tx/nwis/current?type=flow
Water Services - https://waterservices.usgs.gov/
Texas Water Dashboard - https://txpub.usgs.gov/txwaterdashboard
NWS Austin/San Antonio - weather.gov/sanantonio
TWDB Links:
Water Data for Texas – https://waterdatafortexas.org/
Flood viewer - https://map.texasflood.org/#/
TexMesonet - https://www.texmesonet.org/
LCRA Hyrdromet - hydromet.lcra.org
Appendix D Hazard Analysis ProcessInstructor GuideAppendix .docxjustine1simpson78276
Appendix D: Hazard Analysis Process
Instructor Guide
Appendix D
HAZARD ANALYSIS PROCESS
Finding out what the hazards are is the first step in any effort to reduce community vulnerability. Hazard analysis involves identifying all of the hazards that potentially threaten a community and analyzing them individually to determine the degree of threat that is posed by each. Hazard analysis determines:
· What hazards can occur.
· How often they are likely to occur.
· How severe the situation is likely to get.
· How these hazards are likely to affect the community.
· How vulnerable the community is to the hazard.
This information is used in the development of both mitigation and emergency plans. It indicates which hazards merit special attention, what actions might be taken to reduce the impact of those hazards, and what resources are likely to be needed.
Hazard analysis requires completion of five steps:
1. Identify the hazards.
2. Profile each hazard.
3. Develop a community profile.
4.
Compare and prioritize risk.
5.
Create and apply scenarios.
Step 1: Identify Hazards
The first step in hazard analysis is to put together a list of hazards that may occur in the community. A community hazard analysis should consider all types of hazards. Categories of hazards include natural hazards such as storms and seismological events; technological hazards such as nuclear power plants, oil or gas pipelines and other hazardous materials facilities; and civil or political hazards such as a neighborhood that has been the scene of rioting or large demonstrations. Cascading emergencies—situations when one hazard triggers others in a cascading fashion—should be considered. For example, an earthquake that ruptured natural gas pipelines could result in fires and explosions that dramatically escalate the type and magnitude of events. Information about hazards may be collected from existing analyses and historical data.
Existing Hazard Analysis. If the community has an existing hazard analysis, don’t “reinvent the wheel”. The best way to begin is by reviewing the existing hazard analysis and identifying any changes that may have occurred since it was developed or last updated. Examples of the kinds of changes within or near the community that could cause hazard analysis information to change over time include:
· New mitigation measures (e.g., a new levee or overflow spillway, new zoning ordinances designed to reduce the amount of damage caused by a specific hazard, or reconstruction of bridges and overpasses).
· The opening or closing of facilities or structures that pose potential secondary hazards (e.g., hazardous materials facilities and transport routes).
When reviewing the hazard analysis, determine three things:
1.
Do all of the hazards included in the hazard analysis still pose a threat to the community?
2.
Are there hazards that are not included in the existing analysis that pose a potential threat to the community?
3.
Does the hazard ana.
Applied Geovisualization for Hurricane Surge Risk Awareness and Emergency Man...Keith VanGraafeiland
Presented at the 2013 CERF Conference in San Diego, California - While storm tracks, intensity forecasts, and tabular metrics have become ubiquitous, they do little to convey the highly localized effects of potential flooding at municipal or facility scales. Visualizations of storm surge forecasts offer opportunities to improve risk awareness and communication in emergency situations. Enhanced visualizations that better communicate “on the ground” potential flooding impacts play an increasingly critical role in risk communication and emergency response. Recent storm surge modeling efforts in Florida, North Carolina, and Virginia will be discussed for their contributions to enhanced risk communication and provision of diverse forms of storm surge geovisualization. In these case studies, GIS and cartographic techniques combine surge forecasts, orthophotography, and building planimetrics for determination of critical infrastructure accessibility, economic losses, and identification of social vulnerabilities. Such applications require cautious and informed use of disparate data (meteorological, geospatial, infrastructural). Awareness of surge model limitations, factors inhibiting spatial representation, and technical and communications challenges is required.
5th International Disaster and Risk Conference IDRC 2014 Integrative Risk Management - The role of science, technology & practice 24-28 August 2014 in Davos, Switzerland
ICLR Friday Forum: A Profile of Earthquake Risk in Canada (April 17, 2020) glennmcgillivray
On April 17, 2020 ICLR conducted a Friday Forum webinar titled 'A Profile of Earthquake Risk in Canada' led by Murray Journeay of the Geological Survey of Canada.
Individuals, businesses and government leaders are increasingly receptive to the principles of disaster resilience planning, but are unlikely to take actions in advance of a disaster without a clearly defined value proposition. While the rationale and evidence for substantial financial returns on risk reduction investments are well known, there remain significant barriers in transforming this knowledge into actions that are required on the ground to reduce the impacts of future disaster events. As a result, the short-term economic gains of continued urban growth and development that are driving escalating trends in vulnerability and risk are increasingly outpacing the willingness of individuals, businesses and institutions to invest in longer-term disaster resilience strategies. To address this challenge, the Geological Survey of Canada is developing a national earthquake risk model to establish a base of evidence to inform disaster resilience planning in accordance with policy and technical implementation guidelines established as part of the Sendai Framework for Disaster Risk Reduction (United Nations, 2015: SFDRR). The national risk extends the scope of probabilistic seismic hazard models currently used to inform Canada’s National Building Code (NBCC) by introducing a structured framework of indicators that profile the physical, social and economic dimensions of earthquake risk at the neighbourhood scale. Risk metrics are used to both analyze existing baseline conditions of earthquake risk, and to evaluate opportunities for risk reduction through proactive investments in seismic mitigation.
Murray Journeay has spent the last thirty years exploring the geological architecture and evolution of mountain systems in western Canada, and the ways in which communities interact with this landscape in terms of sustainable land use and disaster resilience planning. Research activities with the Geological Survey of Canada have ranged from field-based investigations of regional tectonic processes that drive crustal deformation and related earthquake hazards in Western Canada to computer-based modelling of earthquake risk and risk reduction strategies.
Using Data Integration to Deliver Intelligence to Anyone, AnywhereSafe Software
Data integration makes it possible to deliver intelligence and keep decision makers, first responders, and civilians informed. For over 20 years, FME has been trusted by federal governments to move data from nearly any source to the target destination, while saving time and budget resources.
With FME, federal governments can deliver open data, improve emergency & disaster response, enhance land management, turn public safety and defense into actionable results, and integrate & deliver location intelligence.
Lesson 5. Crisis Mapping and Community Drillsgicait ait
Crisis mapping is the real time gathering, display and analysis of data during a disaster, it is an important but challenging task.
This module discussed three types of crisis mapping: Situational reporting, Damage assessment and Needs assessment.
This presentations explains the main definitions related to flood risk management. and how to assess the Vulnerability of the society towards flood dangers. and flood risk analysis process. and gives some examples of flood risk assessment applications.
Automobile Management System Project Report.pdfKamal Acharya
The proposed project is developed to manage the automobile in the automobile dealer company. The main module in this project is login, automobile management, customer management, sales, complaints and reports. The first module is the login. The automobile showroom owner should login to the project for usage. The username and password are verified and if it is correct, next form opens. If the username and password are not correct, it shows the error message.
When a customer search for a automobile, if the automobile is available, they will be taken to a page that shows the details of the automobile including automobile name, automobile ID, quantity, price etc. “Automobile Management System” is useful for maintaining automobiles, customers effectively and hence helps for establishing good relation between customer and automobile organization. It contains various customized modules for effectively maintaining automobiles and stock information accurately and safely.
When the automobile is sold to the customer, stock will be reduced automatically. When a new purchase is made, stock will be increased automatically. While selecting automobiles for sale, the proposed software will automatically check for total number of available stock of that particular item, if the total stock of that particular item is less than 5, software will notify the user to purchase the particular item.
Also when the user tries to sale items which are not in stock, the system will prompt the user that the stock is not enough. Customers of this system can search for a automobile; can purchase a automobile easily by selecting fast. On the other hand the stock of automobiles can be maintained perfectly by the automobile shop manager overcoming the drawbacks of existing system.
Forklift Classes Overview by Intella PartsIntella Parts
Discover the different forklift classes and their specific applications. Learn how to choose the right forklift for your needs to ensure safety, efficiency, and compliance in your operations.
For more technical information, visit our website https://intellaparts.com
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Event Management System Vb Net Project Report.pdfKamal Acharya
In present era, the scopes of information technology growing with a very fast .We do not see any are untouched from this industry. The scope of information technology has become wider includes: Business and industry. Household Business, Communication, Education, Entertainment, Science, Medicine, Engineering, Distance Learning, Weather Forecasting. Carrier Searching and so on.
My project named “Event Management System” is software that store and maintained all events coordinated in college. It also helpful to print related reports. My project will help to record the events coordinated by faculties with their Name, Event subject, date & details in an efficient & effective ways.
In my system we have to make a system by which a user can record all events coordinated by a particular faculty. In our proposed system some more featured are added which differs it from the existing system such as security.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
COLLEGE BUS MANAGEMENT SYSTEM PROJECT REPORT.pdfKamal Acharya
The College Bus Management system is completely developed by Visual Basic .NET Version. The application is connect with most secured database language MS SQL Server. The application is develop by using best combination of front-end and back-end languages. The application is totally design like flat user interface. This flat user interface is more attractive user interface in 2017. The application is gives more important to the system functionality. The application is to manage the student’s details, driver’s details, bus details, bus route details, bus fees details and more. The application has only one unit for admin. The admin can manage the entire application. The admin can login into the application by using username and password of the admin. The application is develop for big and small colleges. It is more user friendly for non-computer person. Even they can easily learn how to manage the application within hours. The application is more secure by the admin. The system will give an effective output for the VB.Net and SQL Server given as input to the system. The compiled java program given as input to the system, after scanning the program will generate different reports. The application generates the report for users. The admin can view and download the report of the data. The application deliver the excel format reports. Because, excel formatted reports is very easy to understand the income and expense of the college bus. This application is mainly develop for windows operating system users. In 2017, 73% of people enterprises are using windows operating system. So the application will easily install for all the windows operating system users. The application-developed size is very low. The application consumes very low space in disk. Therefore, the user can allocate very minimum local disk space for this application.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
The Benefits and Techniques of Trenchless Pipe Repair.pdf
Natural disasters_LOSS ESTIMATION .pptx
1. 12/31/2023 1
12/31/2023 1
12/31/2023 1
Natural disasters:
Evaluation of losses and design of
structures
• BY:
• University of West Attica
• PRESENTED BY:
• Nikos Pnevmatikos
19. 19
Seismic loss estimation
Why ?
Can we do with accuracy ?
Only the god knows……. why we?
• For preparation
• For readiness
20. 20
Seismic loss estimation
strategy
1st Step:
• Evaluation of seismic Hazard, activation scenario,
measurements, different time of day, …
• Griding of region.
• Usage of attenuation relationships suitable for region,
estimation of PGA for each grid point.
• Correcting for directivity phenomena, non linear behavior of
soil.
21. 21
Seismic loss estimation
strategy
2nd Step:
• Recording of each type of construction (material, heigh,
static system, date of construction and design code) in each
grid square.
• Matching of every building type to the corresponding fragility
curve για κάθε τύπου κατασκευής της καμπύλης
θραυστότητας τους για συγκεκριμένα επίπεδα βλfor each
level of damage.
22. 22
3rd step:
loss estimation
• No of damage buildings per damage category
• Cost
• Recovery time
• Injured - causalities
Seismic loss estimation
strategy
25. 26
ΛΟΓΙΣΜΙΚΟ ΟΡΓΑΝΙΣΜΟΣ ΠΡΟΣΒΑΣΙΜΟΤΗΤΑ
1. HAZUS FEMA ΟΧΙ
2. SELENA NORSAR ΑΝΟΙΚΤΟΥ ΚΩΔΙΚΑ
3. ELER Boğaziçi University, KOERI, NERIES ΕΚΤΕΛΕΣΙΜΗ ΜΟΡΦΗ
4. EQRM Geosience Australia ΑΝΟΙΚΤΟΥ ΚΩΔΙΚΑ
5. QLARM WARMERR ΟΧΙ
6. CEDIM Sergey Tyagunov ΟΧΙ
7. CAPRA World bank ΟΧΙ
8. RISKSCAPE GNS sience ΟΧΙ
9. LNECLOSS LNEC ΟΧΙ
10. MAEviz MAE center ΑΝΟΙΚΤΟΥ ΚΩΔΙΚΑ
11. OpenRisk SPA Risk LLc ΟΧΙ
12. DBELA Rose School/EUCENTRE ΟΧΙ
13. HAZ-TAIWAN ΟΧΙ
14. OpenQuake GEM ΑΝΟΙΚΤΟΥ ΚΩΔΙΚΑ
15. Syner - G Ευρωπαϊκό Πρόγραμμα Συνεργασίας ΑΝΟΙΚΤΟΥ ΚΩΔΙΚΑ
Seismic loss estimation
strategy, software
26.
27. HAZUS-MH: FEMA’S SOFTWARE PROGRAM FOR ESTIMATING POTENTIAL LOSSES FROM DISASTERS
Earthquakes, Hurricanes, and Floods
Will Continue to Occur…
28. HAZUS-MH: FEMA’S SOFTWARE PROGRAM FOR ESTIMATING POTENTIAL LOSSES FROM DISASTERS
How can we plan to minimize
damage and loss of life to prevent
natural hazards from becoming
natural disasters?
Earthquakes, Hurricanes, and Floods
Will Continue to Occur…
29. HAZUS-MH: FEMA’S SOFTWARE PROGRAM FOR ESTIMATING POTENTIAL LOSSES FROM DISASTERS
What If Scenarios
What if a Hurricane occurred?
What if an Earthquake occurred?
What if a Flood occurred?
What if a Dam Breach occurred?
What if a Technological Hazard occurred?
30. HAZUS-MH: FEMA’S SOFTWARE PROGRAM FOR ESTIMATING POTENTIAL LOSSES FROM DISASTERS
HAZUS-MH: Features Physical
Impacts
Economic
Impacts
Social Impacts
GIS Technology
Nationwide Databases
Nationally Standardized Loss
Estimation and Risk Assessment
Methodology
31. HAZUS-MH: FEMA’S SOFTWARE PROGRAM FOR ESTIMATING POTENTIAL LOSSES FROM DISASTERS
GIS Technology
Spatial Relationships
Layers
Computations
32. HAZUS-MH: FEMA’S SOFTWARE PROGRAM FOR ESTIMATING POTENTIAL LOSSES FROM DISASTERS
GIS Technology
Spatial Relationships
Layers
Computations
Risk
Communication
Risks
Solutions
33. HAZUS-MH: FEMA’S SOFTWARE PROGRAM FOR ESTIMATING POTENTIAL LOSSES FROM DISASTERS
Demographics – Population, Employment, Housing
Building Stock – Residential, Commercial, Industrial
Essential Facilities – Hospitals, Schools, Police Stations, Fire Stations
Transportation – Highways, Bridges, Railways, Tunnels, Airports, Ports and
Harbors, Ferry Facilities
Utilities – Waste Water, Potable Water, Oil, Gas, Electric Power,
Communication Facilities
High Potential Loss Facilities – Dams and Levees, Nuclear Facilities,
Hazardous Material Sites, Military Installations
Nationwide Databases
34. HAZUS-MH: FEMA’S SOFTWARE PROGRAM FOR ESTIMATING POTENTIAL LOSSES FROM DISASTERS
Nationwide Databases
Non-Proprietary
Customizable
35. HAZUS-MH: FEMA’S SOFTWARE PROGRAM FOR ESTIMATING POTENTIAL LOSSES FROM DISASTERS
Nationally Standardized Loss
Estimation and Risk Assessment Methodology
Engineering Analysis
Hazard-Specific
Oversight
Committees
Expert Practitioners
Academics
Non-Proprietary
Well Documented
36. HAZUS-MH: FEMA’S SOFTWARE PROGRAM FOR ESTIMATING POTENTIAL LOSSES FROM DISASTERS
HAZUS-MH is for a study area of any size
Region
Community
Neighborhood
Individual
Site
37. HAZUS-MH: FEMA’S SOFTWARE PROGRAM FOR ESTIMATING POTENTIAL LOSSES FROM DISASTERS
Respond
HAZUS-MH and Risk Management
Prepare
Recover Mitigate
38. HAZUS-MH: FEMA’S SOFTWARE PROGRAM FOR ESTIMATING POTENTIAL LOSSES FROM DISASTERS
Where are the best locations for
shelters and do we have enough
space?
Where should we target
outreach activities?
Preparing for a Natural Hazard
What are our risks?
39. HAZUS-MH: FEMA’S SOFTWARE PROGRAM FOR ESTIMATING POTENTIAL LOSSES FROM DISASTERS
Where should we put our
resources to achieve
maximum benefit?
How much will this mitigation
strategy decrease our
losses?
Where are we in
our mitigation plan?
How have we progressed?
Mitigating the Effects of
a Natural Hazard
40. HAZUS-MH: FEMA’S SOFTWARE PROGRAM FOR ESTIMATING POTENTIAL LOSSES FROM DISASTERS
What hospitals were
damaged and where
should we take our
injured?
Responding to a Natural Hazard
How many
injuries do we
expect?
41. HAZUS-MH: FEMA’S SOFTWARE PROGRAM FOR ESTIMATING POTENTIAL LOSSES FROM DISASTERS
Recovering from a Natural Hazard
What is the demand
on recovery staff?
How much debris
do we have to
remove?
How much funding
does the community
need to request to
recover?
42. HAZUS-MH: FEMA’S SOFTWARE PROGRAM FOR ESTIMATING POTENTIAL LOSSES FROM DISASTERS
HAZUS-MH: Analysis Levels
InCAST – Inventory Collection
And Survey Tool
BIT – Building data Import Tool
FIT – Flood Information Tool
Level 1 and 2 analyses can usually be
performed by emergency services or
planning staff
Level 3 analysis typically
requires technical expertise
Parameter
Modification
45. HAZUS-MH: FEMA’S SOFTWARE PROGRAM FOR ESTIMATING POTENTIAL LOSSES FROM DISASTERS
Direct Economic Losses
Greatest Economic
Losses
46. HAZUS-MH: FEMA’S SOFTWARE PROGRAM FOR ESTIMATING POTENTIAL LOSSES FROM DISASTERS
Damaged Highways and Schools
HAZUS MH — FEMA’S SOFTWARE PROGRAM FOR ESTIMATING POTENTIAL LOSSES FROM DISASTERS
47. HAZUS-MH: FEMA’S SOFTWARE PROGRAM FOR ESTIMATING POTENTIAL LOSSES FROM DISASTERS
A Flood Study - Mecklenburg, NC
Study Results – Sugar Creek
Support Adoption of
New Floodplain
Studies
Saved the County
$74 Million Dollars in
Damage Reduction
Through Increased
Floodplain
Regulations
Current
Building
Inventory
Current
Building
Inventory
Future
Building
Inventory
1975 2000 2000
100%
400%
48. HAZUS-MH: FEMA’S SOFTWARE PROGRAM FOR ESTIMATING POTENTIAL LOSSES FROM DISASTERS
HAZUS Reaching Beyond
Natural Disasters
ALOHA Dispersion
Modeling
FLDWAV Dam
Breach Modeling
49. HAZUS-MH: FEMA’S SOFTWARE PROGRAM FOR ESTIMATING POTENTIAL LOSSES FROM DISASTERS
HAZUS: User Groups
HAZUS
USER GROUP
UTILITIES
PRIVATE
FEDERAL
STATE
GOVERNMENT
LABORATORIES
LOCAL
NONPROFIT
UNIVERSITIES
Facility Manager
Technical Experts
NONPROFIT
Red Cross
Technical Experts
Local Planners
Emergency
Response
Personnel
Legislative
Contacts
Medical Personnel
50. HAZUS-MH: FEMA’S SOFTWARE PROGRAM FOR ESTIMATING POTENTIAL LOSSES FROM DISASTERS
Summary
HAZUS-MH allows you to:
IDENTIFY vulnerable areas that may require planning considerations
(e.g., land use or building code requirements)
ASSESS the level of readiness and preparedness to deal with a disaster
before the disaster occurs
ESTIMATE potential losses from specific hazard events, including pre-
event, near real-time, and post-event report capability
DECIDE on how to allocate resources for the most effective and
efficient response and recovery
PRIORITIZE the mitigation measures that need to be implemented to
reduce future losses
51. HAZUS-MH: FEMA’S SOFTWARE PROGRAM FOR ESTIMATING POTENTIAL LOSSES FROM DISASTERS
…helping develop, implement, and track
local and state risk assessment and
mitigation plans
52. HAZUS-MH: FEMA’S SOFTWARE PROGRAM FOR ESTIMATING POTENTIAL LOSSES FROM DISASTERS
Visit the HAZUS website:
http://www.fema.gov/hazus
http://www.hazus.org/
or email inquiries to:
hazus@fema.gov
Ken Wallace
FEMA Region III
Kenneth.C.Wallace@DHS.Gov
215.931.5723
HAZUS-MH Information
53. What is HAZUS-MH?
It is an estimation tool, NOT a deterministic tool
It is a planning tool, NOT an engineering tool
Engineering-level data (i.e. Hydrology & Hydraulic studies) can be
input to increase accuracy, but results still produce planning-level
estimations
It also assesses population needs related to
emergency management
It also allows users to compare results from different
study case scenarios, including mitigation actions
HAZUS-MH is a planning tool that estimates
damage and losses resulting from natural hazards
HAZUS-MH is an empirical model based on observation and experiment
54. www.THMP.info
H & H
Texas Hazard
Mitigation Package
(THMP)
Identification Tool
HAZUS
Loss Estimation Tool
Local Hydrology & Hydraulic
Studies
H & H specific
applications
Engineering Tools
& Data
Highly Accurate
(more expensive)
Easy to Use
(less expensive)
55. HAZUS-MH: Family of Products
Models
HAZUS-MH is a multi-hazard (MH) application
Flood, Hurricane (Wind), Earthquake
Data Integration Tools
• Inventory Collection And Survey Tool (InCAST)
• Building Import Tool (BIT)
• * Flood Information Tool (FIT)
Linkage to 3rd-party Models
• Areal Locations of Hazardous Atmospheres (ALOHA)
• Flood Waves (FLDWAV)
56. HAZUS-MH: Technical Components
Software: Custom GIS (geographic information system)
Runs on ESRI products; ArcGIS and Spatial Analyst
• ESRI products must be acquired separately
Spatial Analyst required for Flood Model only
• HAZUS-MH is free from FEMA <www.fema.gov/hazus>
Current HAZUS-MH version (MR1) runs on ArcView 9.0
Data: National data sets
Inventory of assets (buildings, infrastructure, population/demographics, etc.)
• Users may modify data sets or model factors
• Users may add their own data
58. HAZUS-MH: Technical Notes
Operating System Requirements
Windows XP SP1
Windows 2000 SP1 – SP4
GIS Requirements
ArcGIS 9.0, SP1
Spatial Analyst extension (Flood Model
only)
59. HAZUS-MH: Technical Requirements
From FEMA Web Site
ArcGIS and HAZUS require significant computing power and resources
(Computer hard disk space varies per dramatically per User)
60. HAZUS-MH: Methodology
5. Estimate Losses/Needs
4. Estimate Damage
3. Overlay Inventory
2. Define Flood Hazard
1. Define the Geographic Area
for Analysis
62. HAZUS-MH: Methodology
MODEL
Flood
Hurricane/Wind
Earthquake
Hazard
Inventory
Building Stock
Essential Facilities
High Potential Loss Facilities
Transportation
Utilities
Hazardous Materials
Demographics/Population
Agricultural Products
Vehicles
PARAMETERS & SCHEMES
Economic
Social
Functionality
System
Performance
Direct Loss
Business
Interruption
Shelter
Casualties
Essential
Facilities
Emergency
Response
Power
Transportation
Transportation
Utilities
Water
Damage
Assessment
Loss
Estimation
RESULTS
ANALYSIS
63. INVENTORY
Buildings
Infrastructure
Population
Land Use
DIRECT DAMAGE
General Building Stock
Essential Facilities
High Potential Loss Facilities
Transportation Facilities
Lifelines
INDUCED DAMAGE
Fire Following Flood
Hazardous Materials Release
Debris Generation
INDIRECT LOSSES
DIRECT LOSSES
Cost of Repairs/Replacement
Income Loss
Crop Damage
Casualties
Shelter and Recovery Needs
Supply Shortages
Sales Decline
Opportunity Costs
Economic Loss
Frequency
Discharge
Depth/Elevation
Velocity
Duration
FLOOD HAZARD
HAZUS-MH Methodology
64. HAZUS-MH: Levels of Analysis
Community-specific
Damage Functions
Link HAZUS with
Hydraulic Model
Distribution of Terrain
0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
O
p
e
n
/C
o
a
s
t
a
l
L
ig
h
t
S
u
b
u
r
b
.
M
e
d
.
S
u
b
u
r
b
.
D
e
n
s
e
S
u
b
u
r
b
.
U
r
b
a
n
Percentage
of
Area
Damage
Flood Depth
Level 1
Modify Building
Inventory
FIT (add local H & H)
Number of Buildings by Specific Occupancy
0
20
40
60
80
100
120
RES1 RES2 RES3 RES4 RES5 RES6
Building
Count
Level 1
Level 2
(most users)
Level 3
User Modified
Data
65. Applications in Mitigation Planning &
Emergency Management
HAZUS-MH
Response &
Recovery
Loss
Reduction
(Mitigation)
Emergency
Preparedness
66. HAZUS Applications:
Emergency Preparedness
Develop emergency response plans
• Temporary housing
• Debris removal
• Emergency power and water
• Emergency medical services
• Evacuation/emergency route clearance
Organize response exercises
67. Mitigation Assessment
• Identify ‘at-risk’ communities
Mitigation Measures
• Strengthen existing structures
• Strengthen window/door openings and siding
Mitigation Programs
• Adopt and enforce hazard-resistant building codes
• Land use planning
HAZUS Applications:
Mitigation
69. Benefit Summary
HAZUS-MH allows user to:
• IDENTIFY vulnerable areas that may require planning
considerations
• ASSESS level of readiness and preparedness to deal
with a disaster before disaster occurs
• ESTIMATE potential losses from specific hazard events
(before or after a disaster hits)
• DECIDE on how to allocate resources for most effective
and efficient response and recovery
• PRIORITIZE mitigation measures that need to be
implemented to reduce future losses (what if)
70. FEMA: Ordering HAZUS
• HAZUS-MH Overview
• Brochures/Materials
• Order Information
• Application Case Studies
• National Conference Info
• FEMA/EMI Training Schedule
• General Contact Info
• Technical Support/FAQ’s
www.fema.gov/hazus
71. Flood Hazard Model
1.Define
Topography
RIVERINE
COASTAL
2. Generate
Stream
Network
3. Define
Study Case
4. Run
Hydrology
Segment
Shoreline
Enter
100-yr
Elevation
5. Compute
Hazard
Initial Step: Create/Open Study Region
Final Step: Run Analysis & View Results
86. Development of Next-Generation Performance-Based Seismic Design Guidelines
ATC 58 Performance Assessment
Calculation Tool (PACT)
87. Development of Next-Generation Performance-Based Seismic Design Guidelines
What is PACT?
• PACT is intended to be an open-source, engineer-friendly,
software system coded entirely in VB 6.0 and Fortran.
• It is a small part of a very large effort
(ATC-58)
• PACT is an implementation of the PEER PBEE methodology
Probability of
• Death
• Dollars
• Downtime
Only this one at this time
88. Development of Next-Generation Performance-Based Seismic Design Guidelines
What Goes Into PACT?
• PACT gathers and stores very Basic Building Information
To the extent needed to define
• basic proportions (plan dimensions, story heights, perimeter length)
• Structural system
• Nonstructural systems and components
• Contents
• User specified correlation of damage for performance groups
(currently binary)
• Extent of other information needed is a function of user’s expertise
Basic Assessment (very little, if any)
• Modification of default quantities
Enhanced Assessment (from little to extensive)
• Specification of detailed quantities and repair costs
• Adding new and modifying existing performance groups and fragility functions
• Engineering Demand Parameters
Estimates of story drifts and accelerations at each floor
• (H-Dir-1, H-Dir-2, and Non-directional)
89. Development of Next-Generation Performance-Based Seismic Design Guidelines
Performance Group Damage States and
Fragilities
Damage state
threshold
Required/
optional
Demand
parameter
i
DS
EDP
Median EDP
i
DS
EDP
Uncertainty,beta
i
DS
DS0 (no damage) Required
DS1 Optional
DS2 Optional
DS3 Optional
etc. Optional
DSj (complete
damage)
Required
Force or
displacement
demand from
structural analysis
Value of demand
for which the DS
has a 50% chance
of occurring (and
of not occurring)
Associated with
components only;
independent of IM
None
Complete
DS1 DS2 DS3 DSj
0
0.5
1.0
P i
DS DS
EDP
1
EDP 2
EDP 3
EDP j
EDP
ln
1
P
i i
i
DS DS
EDP
DS DS EDP
EDP
None
Complete
DS1
DS1 DS2
DS2 DS3
DS3 DSj
DSj
0
0.5
1.0
P i
DS DS
EDP
1
EDP 2
EDP 3
EDP j
EDP
ln
1
P
i i
i
DS DS
EDP
DS DS EDP
EDP
91. Development of Next-Generation Performance-Based Seismic Design Guidelines
What does PACT do with this information?
• PACT takes the basic building information provided and,
• a set of engineering demand parameters for the building (say results of 5, 10 or 20 nonlinear
dynamic response analyses for a given scenario or hazard level, PACT gathers and stores very
Basic Building Information and,
• It performs simulations using Cholesky Decomposition to generate 100s of realizations
• Based on these realizations, PACT generates probability of loss curves for the entire building, a
particular floor, a particular direction, or a single component.
• Results are presented in a uniform fashion across various levels of generalization and can be
saved and exported to Excel, text files, and various graphic formats.
• PACT is an XML based product and all of the input, intermediate, and output data is preserved in
a hierarchical format that can be retrieved, modified, and enhanced at any time.
92. Development of Next-Generation Performance-Based Seismic Design Guidelines
Performance Group Damage States and
Fragilities
Damage state
threshold
Required/
optional
Demand
parameter
i
DS
EDP
Median EDP
i
DS
EDP
Uncertainty,beta
i
DS
DS0 (no damage) Required
DS1 Optional
DS2 Optional
DS3 Optional
etc. Optional
DSj (complete
damage)
Required
Force or
displacement
demand from
structural analysis
Value of demand
for which the DS
has a 50% chance
of occurring (and
of not occurring)
Associated with
components only;
independent of IM
None
Complete
DS1 DS2 DS3 DSj
0
0.5
1.0
P i
DS DS
EDP
1
EDP 2
EDP 3
EDP j
EDP
ln
1
P
i i
i
DS DS
EDP
DS DS EDP
EDP
None
Complete
DS1
DS1 DS2
DS2 DS3
DS3 DSj
DSj
0
0.5
1.0
P i
DS DS
EDP
1
EDP 2
EDP 3
EDP j
EDP
ln
1
P
i i
i
DS DS
EDP
DS DS EDP
EDP
94. Development of Next-Generation Performance-Based Seismic Design Guidelines
Let us take a look at it!
Viewer Discretion Is Advised
PACT is a product still under development and every thing about it changes
several times everyday.
What I show you is basically the “Enhanced Assessment Option.” I comment on
where and how the “Basic Assessment Option would be different
For complete legal jargon, see me after this session.
We have the informed consent of the audience. Proceed!
96. Development of Next-Generation Performance-Based Seismic Design Guidelines
PACT Analysis Types
• Intensity-based assessments
what are the chances of losses of given amount, if the building is
subjected to ground motion of specific intensity?
• Scenario-based assessments
what are the chances of experiencing more than $10M damage from
a M6 on the San Andreas Fault?
• Time-based assessment
what are the chances of losses exceeding a given amount, over a
given time period?
97. Development of Next-Generation Performance-Based Seismic Design Guidelines
Time-based Assessment
• You already saw
how intensity and
scenario based
assessments are
done.
• For time-based
assessment, the
user is asked to
upload or enter a
hazard curve.
98. Development of Next-Generation Performance-Based Seismic Design Guidelines
Time-based Assessment
• Then the user is asked to
associate a set of previous
runs with particular points
on the hazard curve.
• PACT then performs
integrations generating a
loss surface and
annualized loss curves.
• Annualized loss curves
may be combined and
manipulated exactly as
other loss curves.
0.5 1 1.5 2 2.5 3 3.5 4
0
0.05
0.1
0.15
0.2
0.25
Capital losses ($M)
Annual probability of
being exceeded
Annualized loss before
retrofit= $100k
Annualized loss after
retrofit= $60k
0.5 1 1.5 2 2.5 3 3.5 4
0
0.05
0.1
0.15
0.2
0.25
Capital losses ($M)
Annual probability of
being exceeded
Annualized loss before
retrofit= $100k
Annualized loss after
retrofit= $60k
99. Overview of CAPRA
Carlos Avelar
carlos_avelar@ern.com.mx
• Promoted by the World Bank.
• Technical development and assistance by the
Consortium ERN.
• Applied for: Central America (El Salvador, Guatemala,
Honduras, Costa Rica, Nicaragua, Belize, Panama),
Colombia, Chile, Peru, Bolivia and Mexico.
• Actually in development for Pakistan.
• Previous trainings in India, Thailand, Nepal, among
others.
103
100. Disaster Risk Information Platform for use in
decision-making that is based on a unified
methodology and tools for evaluating and
expressing disaster risk.
CAPRA was developed by experts to consolidate
hazard and risk assessment methodologies and
raise risk management.
Risk management
Prevention and mitigation
Emergency response
Reconstruction and rehabilitation
Financial protection
DATA AND KNOWLEDGE FOR DECISION MAKING
Probabilistic risk modeling
104
102. Probabilistic Hazard Estimation
Specific models
Specific information for hazard estimation
Hazard
Exposure
Specific information for exposure representation
Exposure
106
106. HAZARDS
Hail
Flood
Hurricane
Tsunami
Multi-hazard approach
Multi-disciplinary effort
PRIMARY HAZARD P. H. EFFECTS SECONDARY HAZARD S. H.
EFFECTS
(Intensity) (Intensity)
TSUNAMI
EARTHQUAKE
HURRICANE
RAINFALL
VOLCANO
Wind speed
Strom surge
Lava Flow
Pyroclastic
Flow
Ash fallout
Ground
Shaking
Flood depth
LANDSLIDE
Slope
instability
C
A
P
R
A
G
I
S
Precipitation
Precipitation
FLOOD
Flood depth
110
108. MAIN INITIATIVES
TECHNICAL ASSISTANCE PROJECTS (TAPs)
A TAP is a technical assistance process to provide training
on probabilistic hazard or disaster risk modeling using the
CAPRA platform, applied to a specific risk management
process or development program that contributes to the
definition of public policies and programs for disaster risk
reduction.
MAIN INITIATIVES
SOFTWARE MODULES
ERN developed a series of probabilistic hazard
evaluation applications, which can be used to
model the specific hazard of any region, in terms
of a set of stochastic events, characterized with an
annual occurrence rate.
The result is a set of grids, geographically
referenced, where the intensity values generated by
the occurrence of the hazardous event are saved
using 2 statistical moments: mean value and
standard deviation.
112
109. CRISIS
CRISIS is the CAPRA seismic and tsunami hazard module. It
allows the complete definition of a seismic model for probabilistic
hazard assessment, and the calculation of stochastic scenarios
for risk evaluation. CRISIS2007 was developed at the
Engineering Institute of the National University of Mexico
(UNAM), by M. Ordaz et al.
ERN-Flood
ERN-Flood allows the estimation of the flood depths on
any given region, based on a set of stochastic rainfall
scenarios.
113
110. ERN-Landslide
Is a software for landslide hazard modeling developed by ERN. Based
on the quantity and quality of the available information, users may select
between these hazard evaluation methodologies:
• Mora-Varhson's method
• Infinite slope method
• Newmark's method
CAPRA
CAPRA-GIS is a geographic information system developed by
ERN, which is oriented to probabilistic risk estimations.
CAPRA-GIS integrates hazard, exposure and vulnerability
information and perform the risk analysis.
114
112. Tutorials
Step by step example for the use of the different software modules
(hazard, vulnerability, risk).
www.ecapra.org
Example:
Average annual loss for earthquake
0 - 5
116
A
A
L
[
U
S
$
]
6 - 20
21 - 100
101 - 400
401 - 4,200
113. 117
Seismic vulnerability assessment and loss
estimation in Cephalonia and Ithaca islands,
Greece, due to earthquake events
Quake 26-1-20014 , Μw=6.
Earthquake scenarios Μw : from 6 to 7
Geographic background of region based
on U.S.G.S. Global Vs-30 Map Server
(Default Vs-30 Grid).
Grand acceleration Akkar and Bommer
2007,
Step 1st : Seismic hazard estimation
114. 118
Recorded PGA 0.39g
Estimated PGA 0.35g
Step 1st : Seismic hazard estimation
Seismic vulnerability assessment and loss
estimation in Cephalonia and Ithaca islands,
Greece, due to earthquake events
115. 119
Έτος
κατασκευής
Υλικό Σχεδιασμός Διαμόρφωση Ονοματολογία
Μέχρι 1960 πέτρα Χωρίς κανονισμό M3wL
τούβλο
(αρωγής)
μπετόν
ΒΔ’59
πλαίσια με κανονικές
τοιχοπληρώσεις
RC31LL
1986-1995 μπετόν
ΒΔ’59 με
πρόσθετα άρθρα
μικτά συστήματα με
κανονικές
τοιχοπληρώσεις
RC41LΜ
>1995 μπετόν ΝΕΑΚ/ΕΑΚ2000
μικτά συστήματα με
κανονικές
τοιχοπληρώσεις
RC41LΗ
European Building Typology EU FP5 Risk UE program
Step 2nd : Vulnerability
Seismic vulnerability assessment and loss
estimation in Cephalonia and Ithaca islands,
Greece, due to earthquake events
116. 120
(α) (β
Σχήμα 3α: Κατανομή κτιρίων ανάλογα με την ταξινόμηση
τους καθώς και ο συνολικός τους αριθμός.
Σχήμα 3β: Κατανομή του πληθυσμού
(α) (β)
Building distribution
Population distribution
Seismic vulnerability assessment and loss
estimation in Cephalonia and Ithaca islands,
Greece, due to earthquake events
122. 126
13%
15%
92%
99%
71%
77%
8%
1%
11%
7%
5%
1%
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
D1
D2
D3
D4
M3wL RC31LL RC41LM RC41LH
Damage buildings distribution for each damage level
Step 3rd : Seismic losses estimation
Seismic vulnerability assessment and loss
estimation in Cephalonia and Ithaca islands,
Greece, due to earthquake events
123. 127
ΧΑΡΑΚΤΗΡΙΣΜΟΣ ΚΤΙΡΙΩΝ ΣΥΣΧΕΤΙΣΗ ΒΛΑΒΩΝ Di
ΠΡΑΣΙΝΑ D1+1/2 D2
ΚΙΤΡΙΝΑ (φέρουσα τοιχοποιία) 1/2D2
ΚΙΤΡΙΝΑ(οπλισμένο σκυρόδεμα) 1/2D2+1/2D3
KΟΚΚΙΝΑ (φέρουσα τοιχοποιία) D3+D4
KΟΚΚΙΝΑ(οπλισμένο σκυρόδεμα) 1/2D3+D4
Correlation of damage level to authorities damage category
(Δ.Α.Ε.Φ.Κ.)
Seismic vulnerability assessment and loss
estimation in Cephalonia and Ithaca islands,
Greece, due to earthquake events
Step 3rd : Seismic losses estimation
124. 128
Comparison result in No of damaged buildings from ΕLER
software and authorities record (ΔΑΕΦΚ)
3663
1458
220
9315
1753
296
0 2000 4000 6000 8000 10000
Πράσινα
Κίτρινα
Κόκκινα Eler Level2 Δ.Α.Ε.Φ.Κ.
Seismic vulnerability assessment and loss
estimation in Cephalonia and Ithaca islands,
Greece, due to earthquake events
125. 129
Comparison result in No of damaged buildings of masonry
and RC from ΕLER software and authorities record (ΔΑΕΦΚ)
86%
54%
85%
34%
3%
12%
14%
46%
15%
66%
97%
88%
0% 20% 40% 60% 80% 100%
Eler
Δ.Α.Ε.Φ.Κ.
Eler
Δ.Α.Ε.Φ.Κ.
Eler
Δ.Α.Ε.Φ.Κ.
ΠΡΑΣΙΝΑ
ΚΙΤΡΙΝΑ
ΚΟΚΚΙΝΑ
ΟΠΛΙΣΜΕΝΟ ΣΚΥΡΟΔΕΜΑ ΦΕΡΟΥΣΑ ΤΟΙΧΟΠΟΙΙΑ
Seismic vulnerability assessment and loss
estimation in Cephalonia and Ithaca islands,
Greece, due to earthquake events
126. 130
D1-Sli=2%
D2-Mod=10%
D3-Ext=80%
D4-Com=100%
• Total cost estimated in 54.394.358€
• Total cost recorded from authorities (ΔΑΕΦΚ)
58.540.000€.
REPLACEMENT COST
900 Ευρώ /m2
Seismic vulnerability assessment and loss
estimation in Cephalonia and Ithaca islands,
Greece, due to earthquake events
127. 131
(Source: HAZUS-MH
FEMA, 2003
pk the probability of a damage Dk occurrence
wsi,k the casualty rate considered for pk probability
psi the probability of suffering i- severity level
Seismic vulnerability assessment and loss
estimation in Cephalonia and Ithaca islands,
Greece, due to earthquake events
Injured and causalities estimations
Step 3rd : Seismic losses estimation
128. 132
Casualty rates for Unreinforced Masonry Structures (HAZUS99)
Casualty rates for Unreinforced Masonry Structures (HAZUS-MH)
Injured and causalities estimations
Step 3rd : Seismic losses estimation
129. 133
Σοβαρότητα
τραυματισμών
HAZUS_MH HAZUS_99 KOERI (2002)
S1 1 36 35
S2 6 5 11
S3 0 0 5
S4 2 0 5
Injured and causalities estimations
Step 3rd : Seismic losses estimation
Seismic vulnerability assessment and loss
estimation in Cephalonia and Ithaca islands,
Greece, due to earthquake events
130. 134
M M3wL RC31LL RC41LM RC41LH
Κόστος €
x106
Ανθρ.απώλειες
S3+S4
6 1898 8056 1083 407 54 2
6,2 1901 9065 1795 2295 69 2
6,4 1997 10639 2033 3123 80 3
6,6 2033 11749 2350 3685 119 5
6,8 2128 13156 2605 4271 148 9
7 2305 13775 2785 4656 163 13
Seismic vulnerability assessment and loss
estimation in Cephalonia and Ithaca islands,
Greece, due to earthquake events
Losses for different level of earthquake
131. 135
0
500
1000
1500
6 6.2 6.4 6.6 6.8 7
αριθμός
κτιρίων
μέγεθος σεισμού Μ
M3wL RC31LL RC41LM RC41LH
Κτιριακών απώλειες για βλάβες D3+D4 ( εκτεταμένες βλάβες
μαζί με τις καταρρεύσεις)
Losses for different level of earthquake
Seismic vulnerability assessment and loss
estimation in Cephalonia and Ithaca islands,
Greece, due to earthquake events
132. 136
Αύξηση του κόστους αποκατάστασης τα επίπεδα βλαβών D3+D4
για όλα τα κτίρια ανάλογα με το μέγεθος του σεισμού σε
εκατομμύρια ευρώ.
10
60
110
160
210
5.8 6 6.2 6.4 6.6 6.8 7 7.2
μέγεθος σεισμού Μ
€ x106
Seismic vulnerability assessment and loss
estimation in Cephalonia and Ithaca islands,
Greece, due to earthquake events
133. 137
0
2
4
6
8
10
12
14
5.5 6 6.5 7 7.5
αρθιθμός
τραυματιών
S3+S4
μέγεθος σεισμού Μ
Τραυματίες S3+S4 (άμεσα σε κίνδυνο τη ζωή, αν δεν αντιμετωπιστούν
γρήγορα και ακαριαίος θάνατος ή θανάσιμος τραυματισμός για όλα τα
επίπεδα βλαβών και για όλα τα κτίρια
Seismic vulnerability assessment and loss
estimation in Cephalonia and Ithaca islands,
Greece, due to earthquake events
134. 138
0
0.2
0.4
0.6
0.8
1
P[DS/SD]
With
intervantions
Μ3wL
IM
Initial
Μ3wL
e.x. specrum acc. 0.41g without
intervention to 0.55 g with intervention
Innervation : Addition of diaphragm at roof
level of masonry and extra chainages
Cost: 12000 Euro/masonry building
Total cost: 18 million Euro
Loss estimations after retrofit pf masonry
Seismic vulnerability assessment and loss
estimation in Cephalonia and Ithaca islands,
Greece, due to earthquake events
Savings: 25 million € for an earthquake of magnitude Mw=6
53 million € for an earthquake of magnitude Mw=7