• Find an Expert
  • Contact
  • SearchSearch icon
  • Menu
  • Help
  • Report an issue

Conference Proceedings

Using a data-driven approach to understand the interaction between catchment characteristics and water quality responses

A Lintern, JA Webb, D Ryu, S Liu, U Bende-Michl, P Leahy, P Wilson, A Western, G Vietz (ed.), A Flatley (ed.), I Rutherfurd (ed.)

River Basin Management Society | Published : 2016

Download PDF

University of Melbourne Researchers

Angus Webb's Profile Picture
Angus Webb Author

Dongryeol Ryu's Profile Picture
Dongryeol Ryu Author

Andrew Western's Profile Picture
Andrew Western Author

Ian Rutherfurd's Profile Picture
Ian Rutherfurd Editor

Related Projects (2)

Project icon

Predicting water quality at the catchment scale: learning from two decades of monitoring

Poor water quality affects many rivers and receiving waters such as the Great Barrier Reef and Gippsland Lakes. This project aims to use Bay..

Project icon

Predicting water quality at the catchment scale: learning from two decades of monitoring

Poor water quality affects many rivers and receiving waters such as the Great Barrier Reef and Gippsland Lakes. This project aims to use Bay..

Keywords

Catchment Modelling
Statistical Model
Spatio-Temporal Variability
Explanatory Variables
Nitrogen

We acknowledge and pay respect to the Traditional Owners of the lands upon which our campuses are situated

Read about our commitment to reconciliation  

About us  

Careers at Melbourne  

Safety and respect  

Newsroom  

Contact  

Phone: 13 MELB ( 13 6352)

International: +61 3 9035 5511


Address:
The University of Melbourne
Grattan Street, Parkville,
Victoria, 3010, Australia


View all Campus locations  
facebookIconlinkedinIconinstagramIcontwitterIcon

Emergency information  |  Disclaimer and copyright  |  Accessibility  |  Privacy  |  VaxFACTS

CRICOS number: 00116K     ABN: 84 002 705 224