Monitoring Nuclear Power Plant Radioactivity Emissions

Nasa World Wind Project of the HfT Stuttgart

Source Code

We uploaded the source code of our Project to Github

Link to the Application

This is the Link to the Application we created for the Challenge

Project description

In Germany, radioactive contamination is monitored regularly; however, there is no platforms available where citizens can properly visualize these data. The aim is to develop a web application which allows users to visualize and monitor the concentration of radioactive contamination in the areas around a Nuclear Power Plant to ensure safety in Germany as well as other country who have nuclear power plant. The Landesanstalt für Umwelt, Messungen und Naturschutz Baden-Württemberg (LUBW) have hourly radioactivity emission data as CSV-files. For this project, the daily records of 28 stations around the Neckarwestheim NPP has been downloaded from January to March 2016. The daily record was averaged per month to monitor the radioactive emission from every station and daily radioactive emission values for each month was considered to show the flacuation of the of the recorded values more precisely.
For modification of the csv file and creating the graps, the open Office software, for the interpolation of datasets QGIS and finally Geo-Server as project local server has been use to develop the application. Those software has been selected as is all Open Source and compatible with the World WindAPI.

Project work

Motivation towards Better Future

Currently more than half of the word population is living in urban areas, and sustainable development of urban areas is key task in urban management. From urban planning perspective, almost every city requires similar urban management tools for a sustainable development.
Environmental management is one of the major issues, and when it comes to environmental matters, radioactive discharges from nuclear power plants can have severe impacts, not only on the environments, but also on humans, animals, plants and sea life; without ignoring potential catastrophic disasters. For these reasons, it is important to monitor and analyse samples, to ensure that power plants do not exceed the permitted discharges that members of the public living around nuclear power plants are exposed to.
The objective is to create an open source-guided smart city tool to monitor emitted radioactivity of each (selected) nuclear power plant. So that, later other countries who have nuclear power plants can use this tool to monitor their radioactivity, and take the necessary steps to increase the quality of urban life and work towards sustainable/safe development.

Approach

An interpolation has been done using the Inverse Distance Weighting (IDW) method for visualizing radioactivity emotion from all (27 stations) nuclear power plant stations for each month. A colour coded legend has been used to visualize the results, where the green colour represents less emission from nuclear power plant station than red colour. The interpolation results gives the information of increasing/decreasing level of emitted radioactivity in each month from all available station and an interpretation can be done for taking necessary steps if required.
Graphical visualization is available in the application based on monthly record (radioactive emission) of each individual station. Which shows the daily radioactive emission for each nuclear power plant stations. These linear graphs helps to visualize the radioactive emission more precisely. Besides, It gives the trend (increase/decrease) of radioactive emission for whole month on daily bases.

Data Source

The data is recorded by the LUBW in Baden-Württemberg, the data and its license is INSPIRE complaint, which make it open to use for everyone. The available database has the information of gamma radiation in the unit Sievert (Sv) for Each station, and in Germany this values are in the range of µSv/h. The data contains the coordinates (DHDN-GKZ3), the name of the station, and the measured value.
Besides, for visualization different layers have been use like, Bing Aerial, Blue Marble, LandSat images.

Link to the Data