Climate changes impact on river discharges within rivers level monitoring on variations in rainfall and temperatures related to the water availability. An analysis of precipitations and temperatures changes on the European rivers discharges in the past 10 years.
This study proposes an application to visually analyze river discharge changes over the last ten years in the North of Italy. Rivers like Po and Adige are crucial to sustaining the Po valley's agriculture and food factories. Recent events argue about the rivers drying in some specific areas affected by high temperatures and low precipitations due to climate changes. The proposed analysis aims to study variations of temperatures, rainfall, and river discharges in some monitored locations on the entire courses of northern Italian rivers and try to focus on some causal dependencies or correlations to archive a prediction model implementation used in a final analysis application.
The demo on the left shows a simulation of the final application to retrieve information and predict a specific location of one of the ten major Italian rivers in the North of Italy. An end-user needs to click on one of the markers and visualize filtered information retrieved from our system. The final application is available at the following link .
The entire application runs on the a flask environment with Python 3.x; the final application in available online here.
However, we have the possibility to run locally going to the /app directory and execute:
flask run
The server will start in a couple of minutes due to the large files loading. Be patient. Request data on authors mail contacts to archive some test or run from yourself downloads data from CDH and TPI. Warning: Data needs parsing from NetCTF4, GRIB2 is not supported. If you want to run data from Sentinels satellites in a real-time environment, you must be aware that first and second notebooks need to change.
Due to the large size of notebook, Github may have some problem with the preview mode, we suggest to download notebooks locally and visualize in a jupyter local runtime also available in some plugin editors like Visual Studio Code.
© Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/