Extensive Hobart Flood Model

Project Info

Team Members


Bella , Yuhang Liu , Amirah , Jim , iluka wighton and 1 other member with an unpublished profile.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!


#flood management #city of hobart #3d models #algorithms

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.


Evidence of Work

Video

Homepage

Project Image

Team DataSets

Elvis - Elevation and Depth - Foundation Spatial Data

Description of Use would be used in the data model that we are pitching

Data Set

LIST_CFEV_WATERBODIES_STATEWIDE

Description of Use would be used in the data model that we are pitching

Data Set

LIST_TASWATER_S_NETWORK_STATEWIDE

Description of Use would be used in the data model that we are pitching

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LIST_TASWATER_SW_MAIN_STATEWIDE

Description of Use would be used in the data model that we are pitching

Data Set

PUBLIC_FLOOD_INUNDATION_EXTENT_MODELS_STATEWIDE

Description of Use would be used in the data model that we are pitching

Data Set

GeoServer rainfall data

Description of Use would be used in the data model that we are pitching

Data Set

TASWATER_SEWER_SYSTEMS_STATEWIDE

Description of Use would be used in the data model that we are pitching

Data Set

NCH_ES_WATER_LOGGING_HAZARD_STATEWIDE

Description of Use would be used in the data model that we are pitching

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NCH_ES_HILLSLOPE_EROSIVITY_STATEWIDE

Description of Use would be used in the data model that we are pitching

Data Set

LIST_SHELLMAP_WATER_QUALITY_SAMPLE_SITES_STATEWIDE

Description of Use would be used in the data model that we are pitching

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LIST_GROUNDWATER_BOREHOLES_STATEWIDE

Description of Use would be used in the data model that we are pitching

Data Set

LIST_CFEV_GROUNDWATER_STATEWIDE

Description of Use would be used in the data model that we are pitching

Data Set

EPA_AQUATIC_ECOSYSTEM_DGVS_FOR_SURFACE_WATER_CATCHMENTS_STATEWIDE

Description of Use would be used in the data model that we are pitching

Data Set

City of Hobart: Road Formation

Description of Use would be used in the data model that we are pitching

Data Set

Australian Bureau of Statistics

Description of Use would be used in the data model that we are pitching

Data Set

BOM Tasmania Rainfall and River Conditions data

Description of Use 24 hours prediction of Tasmania Rainfall and River Conditions

Data Set

Bureau of Meteorology climate data

Description of Use Used daily and monthly statistics, historical weather observations, rainfall, temperature and solar tables, graphs and data.

Data Set

Challenge Entries

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?

Eligibility: Must use at least one open data source.

Go to Challenge | 6 teams have entered this challenge.

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?

Eligibility: Use one or more datasets from CoH Open data portal and ensure the submission relates to understanding flood risk in the city of 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.

Eligibility: Fuse multiple sources of data into a single pane of glass (such as graphs or pivot tables); and/or leverage the Blueprint UI Toolkit in some or all of your designs and prototypes.

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?

Eligibility: Must use a least one Australian relevant dataset - combining datasets preferred.

Go to Challenge | 31 teams have entered this challenge.