1.4. Challenges of Comparing Maps

So the biggest difficulty here is comparing the two maps because of the spatial data format one is the traditional flood risk map uses the one-meter raster grid cells, whereas the risk perception map is based on the polygons of varying sizes.

The main challenge in comparing maps arises from the difference in how spatial data is structured. One map, the traditional flood risk map, is organized using one-meter grid cells. This means that each cell represents a specific area of land with uniform information about flood risk. Conversely, the risk perception map uses polygons that can be of varying sizes, representing different areas based on community-defined boundaries. This disparity in data format makes direct comparisons difficult because you can't easily correlate the information represented in these two different styles.

Imagine trying to compare a city map that uses a square grid to show streets and neighborhoods with another map that shows neighborhoods as irregular shapes based on community boundaries. If you wanted to find out how a specific neighborhood's risk compares to others, it wouldn't work well, as the shapes and sizes distort the direct correlation you'd expect to see on a standard grid map.

When this is the flood hazard map of the extreme and there is given the threshold values of 0.5 to 1.5 meter depth of inundation there is inundation map and if you can see that this whole region is completely flooded right about 1.5 meter height of inundation.

Flood hazard maps show different levels of flood risk based on water depth during inundation events. In this case, the map categorizes areas based on how deep the flooding might become, with specific threshold values ranging from 0.5 meters to 1.5 meters of water. The map indicates that areas with 1.5 meters of water will be completely flooded, which is critical information for planning and emergency response efforts. By understanding these thresholds, authorities can prepare and respond more effectively to minimize damage during floods.

Think of the flood hazard map like a warning system for a storm. Just as weather forecasts tell you how much rain to expect, the flood hazard map indicates how deep the water could rise. If the forecast says there's a chance of one-foot waves at the beach, you know you might want to stay away from the shore. Similarly, if the flood hazard map shows a 1.5-meter inundation level, people living in that zone know they need to evacuate or take other precautions.

And the physical vulnerability now when you talk about the physical vulnerability what are the places which have been in highly damaged, medium damaged, and the low damaged and which has been not defined. Similarly, the social the target groups which are actually which are the most of these communities which are often affected and this is the social vulnerability map.

In assessing the impact of floods, different types of vulnerabilities must be considered. Physical vulnerability refers to the structural damage experienced by buildings and infrastructure, categorized into high, medium, and low levels of damage. In contrast, social vulnerability focuses on the characteristics and needs of communities affected by floods, identifying which groups—such as low-income residents, elderly citizens, or marginalized populations—face the greatest risks. Understanding both physical and social vulnerabilities helps in developing targeted strategies for disaster response and recovery.

Consider a neighborhood after a severe storm. Some homes might be completely destroyed (high physical vulnerability), while others might have minor damage (low physical vulnerability). At the same time, a single-parent family living paycheck to paycheck may struggle to recover faster than a family with more resources, highlighting social vulnerability. Emergency responders need to know both who was affected and how badly to provide the right help.

When we say economic vulnerability, when the flood happens obviously what kind of business sector often closes down, shuts down for a period of some time and or how their livestock gets damaged so this is all about the economical. Mostly you can see that on the edges you can see that most of the commercial aspect has been damaged. The cultural vulnerability: and you can see that you know much of the cultural properties are under the high risk.

Economic vulnerability during floods refers to the impact on businesses and livelihoods. When floods occur, they can force businesses to shut down temporarily, leading to loss of income and jobs. Additionally, flooding can damage agricultural assets like livestock and crops. Cultural vulnerability, on the other hand, deals with the risk to cultural heritage sites and properties that can be lost or damaged due to flooding. Protecting these sites is essential because they represent historical and communal significance for future generations.

Imagine a small town where several businesses are along the riverbank. After a flood, shops selling goods may be forced to close, affecting local employment and the economy. Similarly, if a historic church or monument in the town is also damaged or destroyed, it represents a loss of cultural heritage and history for the community—a place where families have gathered for generations.

Now what they did was they tried to combine this map and one is using all the digital tools how they combined and this is again a combined flood risk map by a traditional approach.

The integration of various mapping approaches is essential for comprehensive flood risk assessment. By merging traditional data (like numerical flood risk maps) with social perceptions and insights from communities, researchers can create a more holistic view of risk in a region. This combined flood risk map utilizes modern digital tools to synthesize information from different sources, improving the understanding of both physical risks and community insights, even while acknowledging inherent gaps in data.

Think of it like making a pizza with different toppings. You start with a base (traditional flood risk data), then add different toppings (social perceptions, community insights) to create a delicious pizza that has a well-rounded flavor. Each layer of ingredients contributes to the overall meal, providing a full spectrum of tastes, much like how combining different mapping approaches provides a fuller understanding of flood risks and community impact.

--