IS428 AY2019-20T1 Assign Chan Huang Suan

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St Hilmark Logo ChanHuangSuan.png VISUALIZATION OF ALWAYS SAFE NUCLEAR POWER PLANT

Project Details

Data Processing

Case Analysis

Tableau Visualization

References

Background

The challenge scenario puts the analyst into a fictional town of St Hilmark. St Hilmark is a fictional city with 19 different neighborhoods and is home to a vibrant community of 246,839 people located in the Oceanus Sea. It is home to the world-renowned St. Himark Museum, beautiful beaches, and the Wilson Forest Nature Preserve. St. Himark is one of the region’s best places to have a family and enjoy life.

In one corner of a neighborhood lies the pride of the city, the Always Safe nuclear power plant is the one and only power-producing facilities in St Hilmark. However, the plant was not compliant with international standards when it was constructed and is now aging. Always Safe agreed to provide funding for a set of carefully calibrated professional radiation monitors at fixed locations throughout the city. To demonstrate that the nuclear plant's operations were not affecting the city, a group of citizen scientists had developed homemade sensors that could be deployed to citizen's cars. These sensors will continually monitor and provide live radiation reading uploaded to the web via the user's cell phone.

Problem

An earthquake hit the town within the week from 6th April 2020 to 10th April 2020. A nuclear power plant was damaged and resulted in radiation leakage. It was reported that the nuclear plant was damaged resulting in a leak of radiation contamination which affected employees' cars.

The city’s officials are trying to understand if there is a risk to the public while also responding to other emerging crises as well as satisfying the public’s concern over radiation.

Motivation

Help St. Himark’s emergency management team combine data from the government-operated stationary monitors with data from citizen-operated mobile sensors to help them better understand conditions in the city and identify likely locations that will require further monitoring, cleanup, or even evacuation.