Unpredictable natural events such as earthquakes claim the lives of hundreds of people when they happen, they can even cause other secondary events such as tsunamis, volcano activation, nuclear hazards and after they happen, the structure of the buildings is not known. Current alerts with numbers or colors do not provide much information about secondary events or the destructiveness of an earthquake. We face the need to be able to communicate and alert the population of a region about the possibility of natural events, their destructiveness and their consequences.
This team proposes an analysis of the situation of the last years 2018-2023 and an earthquake classification method.
- Expand alert coverage.
- Improve the time and type of reaction.
- Guarantee accessibility to the alert system.
- Deliver a quality system.
The scope of the project will be for the countries: Chile, United States and Japan. Data from their respective observatories will be used. The use of external data or data from other countries to improve the model is not ruled out. The model will be of classification.
- Kpi: Effective coverage percentage --> objective: Expand alert coverage.
- Kpi: Average reaction time --> objective: Improve the time and type of reaction.
- Kpi: Average number of users per social network platform --> objective: Guarantee accessibility to the alert system.
- Kpi: Precision ratio of current alerts --> objective: Increase the precision and therefore the quality of the classification.
All kpis will be taken on an annual basis.
The repository will be organized in folders for each work area.
And also a /img folder to orderly store the images of the reports for each stage.
To collaborate we opted for two methods that github gives us at the choice of the collaborator.
The proposed solution is an alert API that can be implemented in different social networks and mobile applications, to achieve this the following tasks are proposed.
The system of managers by area and assistants will be used if help is needed.
The data will be extracted from the following sources:
Map of countries involved.
quantum analytics