These models assist in the estimation of the impact of different forcing functions (e.g. climate and inflows) and management options on water quality, with a focus on transport, temperature, chlorophyll, nutrients and dissolved oxygen.
DYRESM – CAEDYM is a one dimensional hydrodynamic-ecological model that can be used to investigate the interactions between physical, chemical and biological processes that occur in lakes and reservoirs over time scales ranging from days to seasonal to interannual.
Fast-running coupled hydrodynamic-ecological model intended for simulation and prediction of water quality in lakes and reservoirs.
Two models: a 1-D hydrodynamic model that can be coupled with CAEDYM for 1-D model outputs (vertically resolved), and a 3-D hydrodynamic model that can be coupled with CAEDYM for 3-D model outputs.
The model has been developed by the Centre for Water Research (The University of Western Australia) and have been used in policy formulation and policy implementation.
The Centre for Water Research was closed in 2015, previous links to information on these models are now not available.
|Latest Version||V4.0 (2012)|
|State of Development||Released and final|
|Current Development Activity||Development was coordinated through Centre for Water Research, The University of Western Australia|
|Management Domains||Freshwater, Coastal|
|Subdomains||river and estuary water quality|
|Intended End Users||
|Spatial Extents||Local (i.e. Catchment or District)|
|Spatial Dimensions||1D, 3D|
|Temporal Resolutions||Hours, Decades|
|Temporal Extents||Days, Months, Years, Decades|
|Steady State or Dynamic||Dynamic|
|Level of Integration||Environmental|
|Key Input Data||Temperature, Rainfall, Runoff Environmental: Lake water quality|
|Input Data Formats||ASCI|
|Key Output Data||Environmental: Lake water quality|
|Output Data Formats||ASCI, Image File(s), Animations/video, Text File(s) Also has governing software for different output options|
|Open/Closed Source||Closed Source|
|Licence Purchase Contact||
The University of Western Australia
University of Western Australia
35 Stirling Highway
|Operating Systems||MS Windows, Mac OS X, Linux, Dos executable|
|Software Needed||Matlab useful but not essential|
|User Interface||Other (please specify) ARMS - part of the model package|
|Ease of Use||Moderate Level will vary - details of water quality calibration can be complex and may require extensive collaboration/background for good model results.|
|Use in Policy Process||Plan (Policy Formulation), Do (Policy Implementation)|
|Programming Language||Fortran 95|
|Methods included for calibration and validation||Auto-calibration is in development|
|Methods included for managing uncertainty||Sensitivity analysis has been documented in peer reviewed publications|
|Analytical Techniques||Input/output, Scenario Planning|
Model structure diagram - has been published in numerous papers
|Keywords||water quality, lakes, reservoirs, transport, temperature, management
|Linkages to other Models||
Burger, D.F., Hamilton, D.P. and Pilditch, C.A., 2008, Modelling the relative importance of internal and external nutrient loads on water column nutrient concentrations and phytoplankton biomass in a shallow polymictic lake, Ecological Modelling, 211(3-4): 411-423.
This case study outlines some of the work undertaken by NIWA and the University of Waikato to investigate a partial or complete diversion of the Ohau Channel (which flows between Lake Rotorua and Lake Rotoiti in the central north island, New Zealand) towards the Kaituna River.
The need for increased biodiversity management arose given that the Waituna Lagoon which is a part of the wider Awarua Wetland complex were collectively designated a Ramsar site, signifying a wetland of international importance.
Lake Tikitapu (Bay of Plenty): McBride, C.G. et al (2016): A water quality model for Lake Tikitapu. Client report prepared for Bay of Plenty Regional Council. Environmental Research Institute Report No. 71, The University of Waikato, Hamilton. 38 pp
Modelling calculates catchment and lake water balances and estimates nutrient loads to the lake.
The model was used to predict the relationship between nutrient load and measures of lake condition e.g TLI and to test possible scenarios involving increasing nutrient loads