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Learn it your way
A short class with Sarah and her students. The other ways are under More.
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Today, we'll explore how roads are categorized by their risk levels. Can anyone tell me what types of roads we might consider?
Are we talking about asphalt and gravel roads?
Exactly! Asphalt roads are generally considered low risk, while gravel and unpaved roads are seen as high risk. Can anyone think of why that might be?
Maybe because gravel roads can get washed away more easily?
Yes! Remember, one way to remember this is using the acronym 'AGU' for Asphalt, Gravel, Uplifted risk. Let's recap: asphalt is low risk, while gravel and unpaved roads carry higher risks.
Moving on to how communities assess their risk, this region was divided into eight sectors. Why do you think community input is important?
Because they know their area best?
Exactly! The local representatives conducted mapping exercises to collect data. What's a challenge you think they might face when comparing data?
Different formats of maps could make it hard to compare?
Great observation! Traditional risk maps use grid cells, while perception maps use variable polygons, complicating comparisons. Remember the term 'Data Dilemma' when thinking about this challenge.
Let’s examine different types of vulnerabilities. Can anyone define physical vulnerability?
It's about areas that get damaged the most, right?
Correct! Types of damage can be classified as high, medium, or low. And what about economic vulnerability, who can explain that?
It's about how businesses and livelihoods are affected during flooding.
Absolutely! To remember this, use the phrase 'PEE' for Physical Economic Effects during disasters. Let's summarize these vulnerabilities to ensure understanding.
Lastly, let’s discuss cultural vulnerability. Why is it crucial to protect heritage sites during floods?
Because they hold historical significance and tell our story?
Exactly! UNESCO heritage sites face high risks and their loss would affect our understanding of history. Remember the phrase 'Heritage is History' — it will help you remember the importance of these sites.
Today’s lesson culminates in how different approaches to data can provide a comprehensive risk assessment. How do we combine scientific and community data?
By analyzing what each type of data reveals about the risks?
Spot on! This is what we refer to as 'Data Integration'. It ensures that we learn from both satellite imagery and local expertise. Remember 'Two Eyes, One Insight' as a mnemonic for this process.
The process of determining the potential impacts and risks associated with different types of hazards.
Essential facilities and services necessary for the health, safety, and economy of a community.
Classifications of risk, including physical, economic, social, and cultural vulnerabilities.
In floods, the roads of asphalt glide, while gravel roads they cannot bide.
Once a village divided up into sectors, each told stories of their streets, finding risks with their unique histories.
Remember the acronym 'PECS' - Physical, Economic, Cultural, Social vulnerabilities.
Use the acronym 'HERS' to remember Heritage, Economic, Risk, Social factors in vulnerability.
Term
What type of road carries higher risk?
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Term
What is social vulnerability?
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Term
What map uses grid cells for flood risk?
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The physical facilities and systems serving a country, city, or area.
The susceptibility to be harmed or damaged by environmental hazards.
A map showing areas at risk of flooding based on historical data and environmental factors.
A measure of how susceptible a community is to harm and risks.
The degree to which an economy can withstand or recover from damages caused by disasters.
The risk communities face in losing their historical and cultural assets during disasters.
The process of combining data from different sources to enhance analysis.
This section focuses on the categorization of roads based on their risk levels and discusses the challenges in comparing flood risk maps.
The section elaborates on the vulnerability classifications of roads, highlighting critical infrastructure at risk from flooding. It also examines the complexities of mapping social, physical, and economic vulnerabilities while attempting to integrate traditional and perception-based flood hazard assessments.
In this section, we delve into the categorization of roads in relation to their risk levels, focusing on different types of roads such as asphalt, gravel, and unpaved roads. The text categorizes the built environment into three vulnerable classes based on the risk assessment associated with these roads and how critical infrastructure, including hospitals and water supplies, is particularly exposed during disasters.
The section also presents a social approach wherein a region was divided into eight sectors, involving community representatives in a group mapping exercise to gather data and identify vulnerabilities. A significant challenge arises in comparing two types of spatial data: traditional flood risk maps using one-meter raster grid cells and risk perception maps represented by polygons, complicating the risk evaluation process.
Further analysis highlights various vulnerabilities, including physical, social, economic, and cultural, emphasizing how natural disasters, like flooding, affect these aspects critically. The intersection of heritage preservation with risk assessment is emphasized, particularly focusing on UNESCO world heritage sites that face high risks of damage during flooding. Ultimately, the section outlines how combining scientific and perception approaches can provide a more nuanced understanding of risk to heritage sites.