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e-book
In this expanded new edition of Living with Earthquakes, Robert Yeats, a leading authority on earthquakes in California and the Pacific Northwest, describes the threat posed by the Cascadia Subduction Zone, a great earthquake fault which runs for hundreds of miles offshore from British Columbia to northern California. New research reveals subtle movements on the deepest part of this fault every 14-15 months — building up strain toward the next major earthquake. Combining cutting-edge research with practical safety information, Living with Earthquakes: • introduces new information about the danger from faults beneath major Northwest cities: the Seattle Fault, Tacoma Fault, and Portland Hills Fault• explores such topics as earthquake forecasting, catastrophe insurance, tsunamis, soil liquefaction, and seismic waves in Northwest lakes caused by Alaskan earthquakes• reviews earthquake preparedness and disaster response in the aftermath of the 2001 Nisqually earthquake, the worst natural disaster in Washington's history• suggests actions that citizens can take to protect their families and homesAn essential guide for anyone interested in understanding earthquake science or in preparing for the next earthquake, this book is also a call to action. Vivid descriptions of recent disasters — including the great tsunami that swept down the Northwest coast in 1964, the 1993 Oregon earthquakes, and the 2001 Nisqually earthquake — underscore the urgent need for better earthquake planning and awareness.
- Subjects:
- Risk Assessment and Management and Disaster Control and Management
- Keywords:
- Pacific Northwest Earthquake hazard analysis Textbooks Earthquakes -- Safety measures
- Resource Type:
- e-book
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Courseware
The Hong Kong Jockey Club Disaster Preparedness and Response Institute E-Learning Platform.
- Course related:
- LSGI1B02 Climate Change and Society
- Subjects:
- Disaster Control and Management
- Keywords:
- Disasters -- Social aspects Disaster relief -- Psychological aspects Emergency management
- Resource Type:
- Courseware
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MOOC
In autonomous vehicles such as self-driving cars, we find a number of interesting and challenging decision-making problems. Starting from the autonomous driving of a single vehicle, to the coordination among multiple vehicles. This course will teach you the fundamental mathematical model for many of these real-world problems. Key topics include Markov decision process, reinforcement learning and event-based methods as well as the modelling and solving of decision-making for autonomous systems. This course is aimed at learners with a bachelor's degree or engineers in the automotive industry who need to develop their knowledge in decision-making models for autonomous systems. Enhance your decision-making skills in automotive engineering by learning from Chalmers, one of the top engineering schools that distinguished through its close collaboration with industry.
- Subjects:
- Electrical Engineering, Mechanical Engineering, and Transportation
- Keywords:
- Decision making Automobiles -- Design construction Automated vehicles
- Resource Type:
- MOOC
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MOOC
How can we strengthen sustainability? By empowering individuals and communities to transform and balance dynamic natural resources, economic prosperity, and healthy populations. In this course, you’ll explore productive and disruptive social, ecological, and economic intersections – the “triple bottom line.” You’ll investigate a spectrum of global, national, regional, municipal and personal relationships that are increasing resiliency. Most importantly, you’ll learn how to effectively locate your interests, and to leverage optimistic change within emerging 21st century urban environments. This course will describe fundamental paradigm shifts that are shaping sustainability. These include connectivity, diversity, citizen engagement, collaboration source tracing, mapping, transportation, and integrative, regenerative design. We will take examples from cities around the globe; making particular use of the complex evolution of site-specific conditions within the Connecticut River watershed. In addition we will present tools and strategies that can be utilized by individuals, communities, and corporations to orchestrate effective and collective change. Each week, lessons will highlight the significance of clean water as a key indication of ecosystem, community and human health. Learners will be asked to investigate and share information about their local environment. Finally, we will note the impact of such disruptive forces as industrial pollution, changing governance, privatization of public services, mining of natural resources, public awareness, and climate change. A fundamental course goal will be to characterize indicators of economic prosperity and happiness that relate to environmental sustainability – and the capacity of individuals to create change.
- Subjects:
- Environmental Engineering, Building Services Engineering, and Building and Real Estate
- Keywords:
- Urban ecology (Sociology) Sustainable development
- Resource Type:
- MOOC
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MOOC
In this course, we will introduce you to the fundamentals of sensor fusion for automotive systems. Key concepts involve Bayesian statistics and how to recursively estimate parameters of interest using a range of different sensors. The course is designed for students who seek to gain a solid understanding of Bayesian statistics and how to use it to fuse information from different sensors. We emphasize object positioning problems, but the studied techniques are applicable much more generally. The course contains a series of videos, quizzes and hand-on assignments where you get to implement many of the key techniques and build your own sensor fusion toolbox. The course is self-contained, but we highly recommend that you also take the course ChM015x: Multi-target Tracking for Automotive Systems. Together, these courses give you an excellent foundation to tackle advanced problems related to perceiving the traffic situation around an autonomous vehicle using observations from a variety of different sensors, such as, radar, lidar and camera.
- Subjects:
- Electrical Engineering, Mechanical Engineering, and Transportation
- Keywords:
- Automobiles -- Electronic equipment Automotive sensors
- Resource Type:
- MOOC
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Courseware
Geo-information has proven to be extremely helpful in many aspects of risk and disaster management: locational and situational awareness, monitoring of hazards, damage detection, sharing of information, defining vulnerability areas, etc. This course aims to provide knowledge on risk and disaster management activities, demonstrate use of geo-information technologies in emergency response, outline current challenges and motivate young geo-specialist to seek for advanced solutions.
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MOOC
Autonomous vehicles, such as self-driving cars, rely critically on an accurate perception of their environment. In this course, we will teach you the fundamentals of multi-object tracking for automotive systems. Key components include the description and understanding of common sensors and motion models, principles underlying filters that can handle varying number of objects, and a selection of the main multi-object tracking (MOT) filters. The course builds and expands on concepts and ideas introduced in CHM013x: ""Sensor fusion and nonlinear filtering for automotive systems"". In particular, we study how to localize an unknown number of objects, which implies various interesting challenges. We focus on cameras, laser scanners and radar sensors, which are all commonly used in vehicles, and emphasize on situations where we seek to track nearby pedestrians and vehicles. Still, most of the involved methods are more general and can be used for surveillance or to track, e.g., biological cells, sports athletes or space debris. The course contains a series of videos, quizzes and hands-on assignments where you get to implement several of the most important algorithms. Learn from award-winning and passionate teachers to enhanceyour knowledge at the forefront of research on self-driving vehicles. Chalmers is among the top engineering schools that distinguish itself through its close collaboration with industry.
- Subjects:
- Electrical Engineering, Mechanical Engineering, and Transportation
- Keywords:
- Automobiles -- Design construction Computer vision Automated vehicles
- Resource Type:
- MOOC
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MOOC
Engineers in the automotive industry are required to understand basic safety concepts. With increasing worldwide efforts to develop connected and self-driving vehicles, traffic safety is facing huge new challenges. This course is for students or professionals who have a bachelor's degree in mechanical engineering or similar and who are interested in a future in the vehicle industry or in road design and traffic engineering. It's also of value for people already working in these areas who wantbetter insight into safety issues. This course teaches the fundamentals of active safety (systems for avoiding crashes or reducing crash consequences) as well as passive safety (systems for avoiding or reducing injuries). Key concepts include in-crash protective systems, collision avoidance, and safe automated driving. The course will introduce scientific and engineering methodologies that are used in the development and assessment of traffic safety and vehicle safety. This includes methods to study the different components of real-world traffic systems with the goal to identify and understand safety problems and hazards. It includes methods to investigate the attitudes and behavior of drivers and other road users as well as recent solutions to improve active safety. Italso includes methods to study human body tolerance to impact and solutions to minimize the injury risk in crashes. Study topics include crash data analysis and in-situ observational studies of drivers and other road users by the use of instrumented vehicles and roadside camera systems. Solutions in active safety, such as driver alertness monitoring, driver information as well as collision avoidance and collision mitigation systems, will be described. Examples of in-crash protective systems are combinations of traditional restraints such as seat belts and airbags but with advanced functions such as automatic adaption to the individual occupant as well as pre-collision activation based on advanced integrated sensor systems and communication systems. The course will be based on recorded lectures that use videos and animations to enhance the experience. Online tutorials that access simulation models will give the participants an experience of influencing parameters in active safety and passive safety systems. As a result of support from MathWorks, students will be granted access to MATLAB/Simulink for the duration of the course.
- Subjects:
- Transportation
- Keywords:
- Traffic safety Roads -- Design construction Motor vehicles -- Safety measures Automobile industry trade
- Resource Type:
- MOOC
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Video
This is a demo of a bell siphon I built in collaboration with a couple of engineering professors. There are certain cases where it would be nice to be able to create a siphon without any intervention, a self-priming or automatic siphon: the next level of siphonry. It's built out of an acrylic sheet and a piece of clear pipe.
- Subjects:
- Building Services Engineering
- Keywords:
- Siphons
- Resource Type:
- Video
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Video
This video explores the protective systems that keep the power grid from self destructing. We usually think of the power grid in terms of its visible parts: power plants, high-voltage lines, and substations. But, much of the complexity of power grid comes in how we protect it when things go wrong. When your power goes out, it’s easy to be frustrated at the inconvenience, but consider also being thankful that it probably means things are working as designed to protect the grid as a whole and ensure a speedy and cost-effective repair to the fault.
- Subjects:
- Building Services Engineering and Electrical Engineering
- Keywords:
- Electric power failures -- Prevention Electric power distribution Electric power failures
- Resource Type:
- Video