Celebrating Tasmania’s achievements
How might we use open data to celebrate Tasmania’s achievements and ensure Tasmania remains front and centre during national conversations?
Go to Challenge | 6 teams have entered this challenge.
Team Name:
Flood Panic
Team Members:
Extensive Hobart Flood Model
Project Info
Team Name
Flood Panic
Team Members
Bella , Yuhang Liu , Amirah , iluka wighton , Jim and 1 other member with an unpublished profile.
Project Description
In this project, we take data from various sources and feed them into a flooding model.
We plan to have three steps:
1. Consolidate data pertaining to floods from presently decentralised sources across Tasmania
2. Process the data to automatically generate and update a high-resolution 3D model of Hobart
3. Application: The specificity of the model will help Forecast risk zones; an interactive modelling tool could test mitigation strategies; QR codes display augmented reality simulations when your out and about; text/further information to help people in the flood risk zones; constantly access the latest real-time flood information; future projections; educational tool, instant alerts and more. this idea has lots of potential!
Data Story
Data has been used to understand the historical and the current flood events and the affected areas in Hobart. It provides us with specific data about the velocity, depth and hazards. This helped us to predict future flood events risks which will feed into the interactive 3D model of Hobart. The model will use an algorithm based on the existing data.
Team DataSets
Elvis - Elevation and Depth - Foundation Spatial Data
Description of Use would be used in the data model that we are pitching
LIST_CFEV_WATERBODIES_STATEWIDE
Description of Use would be used in the data model that we are pitching
LIST_TASWATER_S_NETWORK_STATEWIDE
Description of Use would be used in the data model that we are pitching
LIST_TASWATER_SW_MAIN_STATEWIDE
Description of Use would be used in the data model that we are pitching
PUBLIC_FLOOD_INUNDATION_EXTENT_MODELS_STATEWIDE
Description of Use would be used in the data model that we are pitching
GeoServer rainfall data
Description of Use would be used in the data model that we are pitching
TASWATER_SEWER_SYSTEMS_STATEWIDE
Description of Use would be used in the data model that we are pitching
NCH_ES_WATER_LOGGING_HAZARD_STATEWIDE
Description of Use would be used in the data model that we are pitching
NCH_ES_HILLSLOPE_EROSIVITY_STATEWIDE
Description of Use would be used in the data model that we are pitching
LIST_SHELLMAP_WATER_QUALITY_SAMPLE_SITES_STATEWIDE
Description of Use would be used in the data model that we are pitching
LIST_GROUNDWATER_BOREHOLES_STATEWIDE
Description of Use would be used in the data model that we are pitching
LIST_CFEV_GROUNDWATER_STATEWIDE
Description of Use would be used in the data model that we are pitching
EPA_AQUATIC_ECOSYSTEM_DGVS_FOR_SURFACE_WATER_CATCHMENTS_STATEWIDE
Description of Use would be used in the data model that we are pitching
City of Hobart: Road Formation
Description of Use would be used in the data model that we are pitching
Australian Bureau of Statistics
Description of Use would be used in the data model that we are pitching
BOM Tasmania Rainfall and River Conditions data
Description of Use 24 hours prediction of Tasmania Rainfall and River Conditions
Bureau of Meteorology climate data
Description of Use Used daily and monthly statistics, historical weather observations, rainfall, temperature and solar tables, graphs and data.
Challenge Entries
Flood Risk: Understanding the impact of climate change on extreme weather events in Hobart
Hobart, Tasmania is prone to extreme weather events, especially flash flooding. How can we better understand the risk of flooding and build a robust model to illustrate the increasing regularity and intensity of flooding? What would the impact of coincident events look like? How can we develop a collaborative flood warning and alert system for Hobart?
Go to Challenge | 7 teams have entered this challenge.
Integrate Disparate Data Sources like a Palantir Engineer
When working with our customers worldwide, our most successful outcomes come from our ability to make sense out of high degrees of complexity. We think that leveraging our existing toolkits and performing data fusion in your projects will help you better solve the problems of GovHack 2022.
Go to Challenge | 9 teams have entered this challenge.
Best Creative Use of Data in Response to ESG (AU)
How can you showcase data in a creative manner to respond to ESG challenges? How can we present and visualise data to stimulate conversation and promote change?
Go to Challenge | 31 teams have entered this challenge.