“How will the impact of increased flood risk on insurance further perpetuate segregation?”
In the middle of the 20th century, the U.S government forbade residents of certain neighborhoods (Specifically ones that Black Folk were forced to live in) to apply for a home mortgage. While this was later declared constitutionally illegal, the confluence of climate change and the private insurance markets may bring it back in an insidious new form. When updated floodmaps predict that new neighborhoods will become unsaveable, they may deny homeowners in those regions from receiving insurance coverage. This will turn the homes in this area into stranded assets that will be extremely difficult to sell and pose extreme financial liability. This new phenomena of Bluelining will only serve as a compounding factor for people living in flood-prone regions, which are already disproportionately made up of lower systemic caste communities. Flood risk prediction and insurance designers will need to take into consideration how their work will possibly harm the same people they should be seeking to serve.
Geospatial Risk Analysis
“How can we use geospatial technologies to analyze risk?”
Risk analysis is one of the most important techniques to be used for climate adaptation work. However, sometimes a visual reference might be necessary to what’s going on. In this case, the use of geospatial tools can be of the greatest assistance, whether it be seeing which regions might be most prone to wildfires or how sea-level rise is affecting existing housing stock. Geospatial Risk Analysis is a tool that would be great for any climate adaptation professional to use.
Image credit http://www.mdpi.com
How Pipeline Failures Harm Local Water Supplies
“How do pipeline failures threaten local water supplies?”
Pipelines are used to transport heavy, often-toxic fluids long distances. Although sturdy, these pieces of infrastructure are not invulnerable. In fact, if damaged, these toxic substances can spill out into localized water sources, contaminating them. This was one of the reasons for the blocking of the Keystone pipeline. This is How Pipeline Failures Harm Local Water Supplies.
“How can we simulate wildfires?”
Wildfires can cause damage in often unpredictable ways. In order to add a deeper level of risk analysis to this, Wildfires Simulations can be done to compute what a possible wildfire would look like. Wildfire simulations can take in aspects such as Wind speed, wind direction, fuel moisture content, fuelscape, ignition location, ignition probability, containment probability, fire duration.
Image credit http://www.firelab.org
“How is it that some losses are to be expected?”
Although we try to make ourselves as resilient as possible to disasters, sometimes losses are bound to occur. For this reason, Expected Losses can be calculated and projected as risk and calculated using statistical methods.
How Climate Change Is Making the Bay Area Windier and More Prone to Fires
“Why is a windier Bay Area more at risk of fires?”
The Earth’s climate is changing more and more as larger volumes of carbon dioxide are poured into the atmosphere. Nothing seems to be unaffected, not even wind speeds. Although the data right now is scarce, current projections are showing that Northern California is experiencing windier seasons years after year in the autumn, which when combined with dry and hot conditions can lead to wildfires. As a result, government officials may need to think about how to incorporate this issue into their resilience planning. This is How Climate Change Is Making the Bay Area Windier and More Prone to Fires.
Image credit https://climatefeedback.org/
“How can we make our infrastructure more resilient against hurricanes?”
With the advent of climate change, hurricanes are becoming more and more powerful. Just by witnessing the devastating aftermath from storms such as Katrina and Marina one can see that infrastructure in storm-prone areas needs to be redeveloped around Hurricane Resilience. Hurricane resilience can take many forms, such as hardening structures against wind to making streets more permeable to an influx of water.
Discrete Reliability Function
“How can we have a reliability function in a discrete form?”
Reliability functions are useful for predicting how long a component will last for. However, sometimes real-world data will not give a continuous output. This can be solved by using a Discrete Reliability Function which is more flexible to such needs.
Image credit upload.wikimedia.org
“How can we assess the consequences of a risk?”
Risks are something that come in every engineering system, whether it be the probability that a dam overflows or a forest fire breaks out. However, how can we assess what will be the effects of the mishap on the surrounding community? Well, we can perform a Consequence Assessment to quantify or categorize how harmful things will be.