Publication
Extreme weather conditions dashboard
| Name: | Description: | Size: | Format: | |
|---|---|---|---|---|
| 6.68 MB | Adobe PDF |
Authors
Advisor(s)
Abstract(s)
Our planet Earth is changing due to the action of Man. Several factors influence the
functioning of our planet, such as the constant need for human evolution, population
growth and many others. Due to this, more and more we have extreme atmospheric
events.
There is an increasing need to become aware of this problem and take action both in
terms of what we can do to prevent the destruction of our planet and prevent when these
extreme events happen. The objective of this thesis is based on this last point.
To combat the lack of a system in Portugal capable of helping the general public
in extreme weather conditions, we created an atmospheric dashboard. The goals were
that this dashboard was simple to use, open to the general public, with high spacial
resolution (currently the smallest area used is the municipality, here we use an even
smaller geographic area), flexible, and scalable so that new data sources or new variables
could be added to the existing ones in the future without affecting the correct functioning
of the system.
This system uses meteorological data and relates them to other variables such as the age
of the population, the thermal conditions of buildings, number of deaths, among others.
The combination of all these data leads to the calculation of a risk index associated with
each zone.
The results show that the application has excellent portability, as it was easily installed
on another device thanks to the virtualization offered by Docker.
In terms of scalability, although did no tests at this level. However, during the application
development, there was the need to add new data sources. Considering that the application
is modularised, there was no problem with the existing or new data sources.
Users see great potential in the application in terms of usability for prevention by the
population during extreme weather events. Another positive aspect was that they liked
the layout of the elements in the interface, namely the fact that the map area is the most
prominent and most visible area in the dashboard. It also helped us get some feedback on
what could be improved, such as using more distinct colors to present the level of risk or
even improving the connection between the different views of the application. The results are positive and encourage further development of the application, applying
the suggestions obtained from user testing.
Description
Keywords
Extreme weather events Weather events Conditions dashboard Warning systems Informatics Engineering . Faculdade de Ciências Exatas e da Engenharia