Investigating environmental watering options using Source IMS: a case study – the River Murray, Australia

Paper


Alam, Md Jahangir, Korn, Alistair and Hardy, Matthew. 2015. "Investigating environmental watering options using Source IMS: a case study – the River Murray, Australia ." 21st International Congress on Modelling and Simulation (MODSIM2015). Gold Coast, Australia 29 Nov - 04 Dec 2015 Australia.
Paper/Presentation Title

Investigating environmental watering options using Source IMS: a case study – the River Murray, Australia

Presentation TypePaper
AuthorsAlam, Md Jahangir, Korn, Alistair and Hardy, Matthew
Journal or Proceedings TitleProceedings of the 21st International Congress on Modelling and Simulation (MODSIM2015)
Journal Citationpp. 2534-2540
Number of Pages7
Year2015
PublisherModelling and Simulation Society of Australia and New Zealand
Place of PublicationAustralia
ISBN 9780987214355
Web Address (URL) of Paperhttps://www.mssanz.org.au/modsim2015/L18/alam.pdf
Web Address (URL) of Conference Proceedingshttps://www.mssanz.org.au/modsim2015/index.html
Conference/Event21st International Congress on Modelling and Simulation (MODSIM2015)
Event Details
21st International Congress on Modelling and Simulation (MODSIM2015)
Parent
International Congress on Modelling and Simulation
Delivery
In person
Event Date
29 Nov 2015 to end of 04 Dec 2015
Event Location
Gold Coast, Australia
Abstract

The integrated modelling tool Source IMS developed by eWater and its partner organisations provides a common modelling platform to investigate the increasingly complex nature of water resources management in Australia. This paper describes how a recently built model of the River Murray using Source IMS has incorporated the management, delivery and accounting of water recovered for the environment to achieve required hydrological behavior. The River Murray model in Source IMS is fundamentally different from previous models of the River Murray in that it is run completely on a daily timestep, and has the capacity to run both as a planning model for policy development, and also as a daily operational tool used by River Operators to manage the competing demands for water in this complex system.
In the last few decades, there has been significant reform of water resources management in the MDB to address declining environmental condition within the Basin, including an increased focus on delivering water to environmental sites along the river system to achieve specific environmental outcomes. This paper shows how the Source model has been developed to investigate various environmental watering options in river systems planning. One of the major projects to recover water for the environment is The Living Murray (TLM), a joint partnership between the States of the River Murray to recover an average annual volume of 500 GL, to be used to deliver environmental outcomes at nominated icon sites along the river (MDBA, 2011). Icon sites were chosen for the high environmental and ecological values. Specified ecological objectives at each site dictate water requirements: the timing, frequency and magnitude of environmental diversions to the site. Two of the TLM icon sites the Koondrook-Perricoota forest and Hattah Lakes have been presented in this paper.
The ordering of water to the icon sites is accomplished through a Source Plugin; a dynamic-link library exposing purpose-built functionality to the Source River Murray project. This plugin triggers environmental watering events at the icon sites based on need and the volume of water available to the TLM.
The Resources Assessment functionality in Source undertakes allocation of water to TLM held entitlements over the simulation period. Due to the entitlements being held in a number of different allocation systems, triggers have been developed in Source IMS that transfer the TLM’s available water from the State allocation systems to a TLM system to determine the total available water to the TLM. Individual use at each icon site is tracked across the model simulation, and the total use of TLM water is then accounted for in the State allocation systems based on an assumed priority of use.
During a simulation, the model records watering events at each icon site, either by overbank flow or TLM intervention. Once the elapsed time since the last flood exceeds the optimal inter-flood period, the model identifies a watering need at the icon site. During subsequent months, the model attempts to operate the works opportunistically, without placing an order but using flow that is not necessary to meet downstream demands. If the site was able to operate opportunistically for the first month, then it places a demand for subsequent months to complete the intervention. This type of intervention is termed an opportunistic watering. If a site’s dry spell passes the resilience inter-flood period without starting opportunistically, then it registers a demand and initiates a forced watering. When watering needs exist at multiple sites, they are ranked according to need by a rostering algorithm.
The paper demonstrates how Source IMS has been able to model the complexity surrounding environmental watering in the River Murray. Further confirmation of the model’s ability to represent the hydrological states of the TLM sites should make the model a useful tool when undertaking future work in environmental water planning and delivery on the River Murray.

KeywordsEnvironmental flow; water sharing; river operation; Source IMS; Murray-Darling Basin
Byline AffiliationsUniversity of Southern Queensland
Murray-Darling Basin Authority, Australia
Permalink -

https://research.usq.edu.au/item/xq6qy/investigating-environmental-watering-options-using-source-ims-a-case-study-the-river-murray-australia

Download files


Published Version
alam.pdf
License: CC BY 4.0
File access level: Anyone

  • 20
    total views
  • 7
    total downloads
  • 2
    views this month
  • 0
    downloads this month

Export as

Related outputs

An Alternative Method for Estimating the Peak Flow for a Regional Catchment Considering the Uncertainty via Continuous Simulation
Brown, Ian, McDougall, Kevin, Chadalavada, Sreeni and Alam, Md Jahangir. 2023. "An Alternative Method for Estimating the Peak Flow for a Regional Catchment Considering the Uncertainty via Continuous Simulation ." Water. 15 (19). https://doi.org/https://doi.org/10.3390/w15193355
Prediction of Water Quality in Reservoirs: A Comparative Assessment of Machine Learning and Deep Learning Approaches in the Case of Toowoomba, Queensland, Australia
Farzana, Syeda Zehan, Paudyal, Dev Raj, Chadalavada, Sreeni and Alam, Md Jahangir. 2023. "Prediction of Water Quality in Reservoirs: A Comparative Assessment of Machine Learning and Deep Learning Approaches in the Case of Toowoomba, Queensland, Australia." Geosciences. 13 (293). https://doi.org/10.3390/geosciences13100293
A Multi-Framework of Google Earth Engine and GEV for Spatial Analysis of Extremes in Non-Stationary Condition in Southeast Queensland, Australia
Pakdel, Hadis, Paudyal, Dev Raj, Chadalavada, Sreeni, Alam, Md Jahangir and Vazifedoust, Majid. 2023. "A Multi-Framework of Google Earth Engine and GEV for Spatial Analysis of Extremes in Non-Stationary Condition in Southeast Queensland, Australia." ISPRS International Journal of Geo-Information. 12 (9). https://doi.org/10.3390/ijgi12090370
Calibration of a continuous hydrologic simulation model in the urban Gowrie Creek catchment in Toowoomba, Australia
Brown, I. W., McDougall, K., Alam, Md. Jahangir, Chowdhury, R. and Chadalavada, S.. 2022. "Calibration of a continuous hydrologic simulation model in the urban Gowrie Creek catchment in Toowoomba, Australia." Journal of Hydrology: Regional Studies. 40, pp. 1-16. https://doi.org/10.1016/j.ejrh.2022.101021
Modelling of Nutrient Pollution Dynamics in River Basins: A Review with a Perspective of a Distributed Modelling Approach
Alam, Md Jahangir and Dutta, Dushmanta. 2021. "Modelling of Nutrient Pollution Dynamics in River Basins: A Review with a Perspective of a Distributed Modelling Approach." Geosciences. 11 (9), pp. 1-16. https://doi.org/10.3390/geosciences11090369
Short duration rainfall estimation of Sylhet: IMD and USWB method
Chowdhury, Rezaul Kabir, Alam, Md. J. B., Das, P. and Alam, Md. A.. 2007. "Short duration rainfall estimation of Sylhet: IMD and USWB method." Journal of the Indian Water Works Association. 39 (4), pp. 285-292.
A two-dimensional hydrodynamic model for flood inundation simulation: a case study in the lower Mekong river basin
Dutta, Dushmanta, Alam, Jahangir, Umeda, Kazuo, Hayashi, Masayoshi and Hironaka, Sadayuki. 2007. "A two-dimensional hydrodynamic model for flood inundation simulation: a case study in the lower Mekong river basin." Hydrological Processes. 21 (9), pp. 1223-1237. https://doi.org/10.1002/hyp.6682
A sub-catchment based approach for modelling nutrient dynamics and transport at a river basin scale
Alam, Md Jahangir and Dutta, Dushmanta. 2016. "A sub-catchment based approach for modelling nutrient dynamics and transport at a river basin scale." Water Resources Management. 30 (14), pp. 5455-5478. https://doi.org/10.1007/s11269-016-1500-x
Predicting climate change impact on nutrient pollution in waterways: a case study in the upper catchment of the Latrobe River, Australia
Alam, Md Jahangir and Dutta, Dushmanta. 2013. "Predicting climate change impact on nutrient pollution in waterways: a case study in the upper catchment of the Latrobe River, Australia." Ecohydrology. 6 (1), pp. 73-82. https://doi.org/10.1002/eco.282
A process-based and distributed model for nutrient dynamics in river basin: development, testing and applications
Alam, Md Jahangir and Dutta, Dushmanta. 2012. "A process-based and distributed model for nutrient dynamics in river basin: development, testing and applications." Ecological Modelling. 247, pp. 112-124. https://doi.org/10.1016/j.ecolmodel.2012.07.031
Investigating environmental watering options using Source IMS: a case study – the River Murray, Australia
Alam, Md Jahangir, Korn, Alistair and Hardy, Matthew. 2015. "Investigating environmental watering options using Source IMS: a case study – the River Murray, Australia." Weber, T., McPhee, M. J. and Anderssen, R. S. (ed.) 21st International Congress on Modelling and Simulation (MODSIM2015). Gold Coast, Australia 29 Nov - 04 Dec 2015 Australia.
Modelling water demand and trade on the Murray and lower Darling rivers
Alam, Md Jahangir, Bethune, Matthew, Townsend, Phil and Close, Andy. 2014. "Modelling water demand and trade on the Murray and lower Darling rivers." 17th International River Symposium 2014: Excellence Collaboration Integration. Canberra, Australia 15 - 18 Sep 2014 Canberra, Australia.