Natural hazards and disaster management in pakistan,how to make your own disaster kit kat,storm shelter survival list - PDF 2016

Work is carried out by the Center for Disaster Management and Risk Reduction Technology (CEDIM) and KIT Climate and Environment Center.
Landslides are a sudden, short-lived geomorphic event that involves a rapid-to-slow descent of soil or rock in sloping terrains. Landslides in the United States alone cause $1 to $2 billion in property damage and over 25 fatalities per year. To determine where protective measures are necessary, scientists and technicians produce landslide inventory and risk assessment maps for many areas around the world Landslides unfortunately, do not display a clear relationship between magnitude and frequency as do earthquakes and floods.
Remote sensing techniques greatly aid in the investigations of landslides, on both a local and regional scale.
Remote sensing techniques can be and are often used in all three stages of a landslide investigation and monitoring.
To detect and classify the landslide, you need to be able to view the size and contrast of the landslide features and the morphological expression of the topography within and around the landslide. Monitoring landslide movement involves the comparison of landslide conditions over time, including the aerial extent of the landslide, the speed of movement, and the change in the surface topography. Landslide hazard maps typically aim to predict where failures are likely to occur without any clear indication of when they are likely to occur. SHALSTAB model which is used frequently by most GIS specialists and Scientists combines slope steepness with flow accumulation to classify risk of slope failure. Terrain Roughness is easily computed from DEM data (derived as coefficient of variations of surrounding slope conditions at minimal effort) and depending on regional climate can marginally effect slope stability with "smoother" sloped terrain more susceptible. The basic SHALSTAB model primarily involves point-by-point processing with its results dependent on the direct coincidence at each map location.
Salt and pepper smoothing is proposed to eliminate individual outliers of varying classification.
Edge match procedures will be used to insure continuous coverage of the final map and might require tiling into manageable processing units depending on the project size and shape. SIC is available for Remote Sensing, GIS and mapping consultancy or if you have a question about our products or services please contact us. This project will generate a series of natural disaster scenarios for major cities across Australia to quantify their impacts on society, critical infrastructure, lifelines and buildings, and where possible the natural environment. This case study outlines a methodology for building realistic earthquake disaster scenarios for major cities, using Adelaide as an example. Short new videos on three CRC research projects explain the aims of the science underway and how end users will benefit from the work.


Bushfire and Natural Hazards CRC researcher Dr Katharine Haynes has been selected as the Australian nomination for the prestigious APEC Science Prize for Innovation, Research and Education Award for 2015. This is the second newsletter for 2014 from the Fatalities and Building Losses project, with updates for the project end-users and associates. Can we better understand how scientific knowledges work in risk mitigation through scenario exercises? This project focuses on how a better understanding of the role of science in decision-making will help industry articulate and defend decisions to the community, media, inquiries and elsewhere, and, better frame information and advice on how scientists and professionals communicate. Download: Can we better understand how scientific knowledges work in risk mitigation through scenario exercises? For earthquakes in particular, we are developing deterministic and probabilistic risk analyses as well as methods to analyze and estimate associated damages and other risks from buildings and infrastructural facilities. They occur worldwide, often in conjunction with natural hazards like earthquakes, floods, or volcanic eruptions. Posing threats to settlements and structures, landslides often result in catastrophic damage to highways, railways, waterways, and pipelines. Landslide studies are challenging to scientists, due to the difficulty to represent landslide hazards in quantitative terms over large areas.
Remote sensing offers an additional tool from which we can extract information about landslide causes and occurrences. Interests in determining parameters are the type of movement that has occurred, the degree of present activity of the landslide, and the depth to which movement has occurred.
Satellite imagery and aerial photography are commonly used in this stage of a landslide investigation. They are useful for providing landslide hazard information needed for planning and protection purposes.
It needs to be able to store, manipulate, and apply the data collected in first two stages which are recognition and monitoring.
Standard soil parameters are employed to redefine the model as the mechanical properties of soils can profoundly affect slope stability. Several of the proposed extensions such as terrain roughness and headwater proximity, address "contextual relationships" of surrounding conditions.
Locations of 6 or higher will be isolated to generate a map of high landslide potential and can be converted to a vector map. They allow end-users to visualize potential impacts before disasters happen and proactively plan for these events.


Apart from the large devastating earthquakes expected for the megacity of Istanbul, for instance, we are studying earthquakes induced or triggered by mining activities, geothermal energy production, CO2 sequestration, and other processes. Landslides can also be caused by excessive precipitation or human activities, such as deforestation or development that disturb natural slope stability. Most importantly, they greatly aid in the prediction of future landslide occurrences, which is very important to those who reside in areas surrounded by unstable slopes. The most common remote sensing tools used for the detection and classification of landslides are satellite imagery and aerial photography. A Geographical Information System is ideal for this stage in a landslide investigation because it is capable of handling large amounts of past, present and future data and integrating this data with predictions. When available, maps showing historic landslide sites are added for both establishing and testing landslide potential. However, much available soil data is at very small scale (1:240,000) and only useful for regional analysis and if available at larger scale requires expert interpretation for regional variants.
Raster-to-Vector procedures are used to convert base maps to project grid and raster-to-vector procedures are used to output a model. In this project, realistic disaster scenarios are being developed using catastrophe loss models so that vulnerable areas, utilities and assets within our major cities can be identified.The scenarios will quantify the impacts on society, critical infrastructure, lifelines and buildings, and the natural environment. Transportation Research Board, annual costs for the repair of minor slope failures by state departments of transportation exceed $100 million. It is capable of data storage, visualization and manipulation of the environment within the application it can also has regional databases perform both local and regional modeling. Exploring 167 years of vulnerability: An examination of extreme heat events in Australia 1844–2010.
This project explores the impacts of a severe tropical cyclone on the region and asks, can these impacts be forecast?
How did we do?"A A "What are your thoughts on these new ways of; 'All-Green', All-Sustainable', and 'All-Climate' Community Living Styles?



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