INVERLOCH_CHA_05SLR_2021_SIMP

dataset: INVERLOCH_CHA_05SLR_2021_SIMP
The Inverloch Region Coastal Hazard Assessment is a modelled dataset assessing sea level rises, planning horizons and storm events to determine erosion hazard zones in the study area. The sea level rise components and subsequent planning horizons consisted of 0m (2020), 0.2m (2040), 0.5m (2070), and 0.8m (2100). The design storm events modelled were 1%,5% and 10% AEP (annual exceedance probability). The study reports can be obtained by contacting vcmp@delwp.vic.gov.au. - some generalisation for publishing in CoastKit.
 
Citation proposal Citation proposal

INVERLOCH_CHA_05SLR_2021_SIMP

 

Description

Title
INVERLOCH_CHA_05SLR_2021_SIMP 
Alternate title
INVERLOCH_CHA_05SLR_2021_SIMP 
Resource Type
Dataset  
Purpose
For CoastKit 
 
 

Temporal

Time period
2021-12-312021-12-31 
 
 

Spatial

Spatial representation type
Vector  
Horizontal Accuracy
5m  
 

 

Maintenance

Maintenance and update frequency
Unknown  
 
 

Format

Title
FGDB 
 
 

Contacts

Point of contact  

No information provided.

Cited responsible party  

No information provided.

Cited responsible party  

No information provided.
 
 

Keywords

Topic category
  • Environment
  • Oceans
 
 

Resource Constraints

Use limitation
Unknown 
Classification
Limited Distribution  
 
 

Lineage

Statement
The Inverloch Region Coastal Hazard Assessment is a modelled dataset assessing sea level rises, planning horizons and storm events to determine erosion hazard zones in the study area. The sea level rise components and subsequent planning horizons consisted of 0m (2020), 0.2m (2040), 0.5m (2070) and 0.8m (2100). The design storm events modelled were 1%,5% and 10% AEP (annual exceedance probability). The study reports can be obtained by contacting vcmp@delwp.vic.gov.au. 
Description
Water Technology commissioned by DELWP to undertake the Inverloch Region Coastal Hazard Assessment. 
 
 

Metadata Constraints

Use limitation
Unknown 
Classification
Unclassified  
 
 

Quality

Attribute Quality
Positional Accuracy
Comments
5m 
Conceptual Consistency
Missing Data
Excess Data
 
 

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  Associated resources

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