Modelling water demand and trade on the Murray and lower Darling rivers

Poster


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.
Paper/Presentation Title

Modelling water demand and trade on the Murray and lower Darling rivers

Presentation TypePoster
AuthorsAlam, Md Jahangir (Author), Bethune, Matthew (Author), Townsend, Phil (Author) and Close, Andy (Author)
Journal or Proceedings TitleProceedings of the 17th International River Symposium 2014
Year2014
Place of PublicationCanberra, Australia
Conference/Event17th International River Symposium 2014: Excellence Collaboration Integration
Event Details
17th International River Symposium 2014: Excellence Collaboration Integration
Event Date
15 to end of 18 Sep 2014
Event Location
Canberra, Australia
Abstract

The Murray–Darling Basin is one of the largest river systems in the world. It supports a large community and is ecologically diverse. The Basin Plan is being implemented to restore the balance between consumptive uses and environmental health in the Basin. The socio-economic implications are a critical consideration in any change to this balance. Under the Basin Plan, considerable effort was invested into understanding how irrigation communities will respond under different water availability/management scenarios. This paper builds on this understanding by enhancing modelling approaches used in water resource planning to represent how irrigator's behaviour may change in response to new water management rules.
The analysis uses a new demand model in the Source IMS river modelling platform. The amount of water available to an irrigator is the key modelled decision variable, impacting on crop areas and crop mix. The available water is dependent on carryover from last year, allocated water, planned trade of allocation and planned carryover into the next irrigation season. Prior to making a planting decision, the irrigator will review their water portfolio and make a decision on how much water they plan to trade (in or out) and how much water they plan to carry-over into the next season. The resulting available water is then used to make a decision on what area they will plant to different crop types each year. This logic represents the trading of water to support urban and permanent horticultural plantings in low allocation years. Conversely, allocation is traded to increase the area of annual cropping systems in years of high water availability. The irrigators water portfolio is reviewed as the season progresses. If they are likely to run out of water, a decision is made to either reduce irrigation intensity (ie go into survival mode), cut back the irrigated area or to buy additional water. Any surplus water could be sold. The approach is tested against available land use, water use and trade data on the Murray and Lower Darling rivers.

Keywordsdemand modelling; source IMS; water diversion; Murray River; lower Darling River; basin plan
ANZSRC Field of Research 2020370704. Surface water hydrology
410406. Natural resource management
300201. Agricultural hydrology
Public Notes

This publication is copyright. It may be reproduced in whole or in part for the purposes of study, research, or review, but is subject to the inclusion of an acknowledgment of the source.

Byline AffiliationsSchool of Civil Engineering and Surveying
Murray-Darling Basin Authority, Australia
Institution of OriginUniversity of Southern Queensland
Permalink -

https://research.usq.edu.au/item/q2y7z/modelling-water-demand-and-trade-on-the-murray-and-lower-darling-rivers

Download files


Published Version
  • 1698
    total views
  • 86
    total downloads
  • 1
    views this month
  • 2
    downloads this month

Export as

Related outputs

Temporal Dynamics and Predictive Modelling of Streamflow and Water Quality Using Advanced Statistical and Ensemble Machine Learning Techniques
Farzana, Syeda Zehan, Paudyal, Dev Raj, Chadalavada, Sreeni and Alam, Md Jahangir. 2024. "Temporal Dynamics and Predictive Modelling of Streamflow and Water Quality Using Advanced Statistical and Ensemble Machine Learning Techniques." Water. 16 (15). https://doi.org/10.3390/w16152107
Spatiotemporal Variability Analysis of Rainfall and Water Quality: Insights from Trend Analysis and Wavelet Coherence Approach
Farzana, Syeda Zeh, Paudyal, Dev Raj, Chadalavada, Sreeni and Alam, Md Jahangir. 2024. "Spatiotemporal Variability Analysis of Rainfall and Water Quality: Insights from Trend Analysis and Wavelet Coherence Approach." Geosciences. 14 (8). https://doi.org/10.3390/geosciences14080225
Variability of Extreme Climate Events and Prediction of Land Cover Change and Future Climate Change Effects on the Streamflow in Southeast Queensland, Australia
Pakdel, Hadis, Chadalavada, Sreeni, Alam, Md Jahangir, Paudyal, Dev Raj and Vazifedoust, Majid. 2024. "Variability of Extreme Climate Events and Prediction of Land Cover Change and Future Climate Change Effects on the Streamflow in Southeast Queensland, Australia." ISPRS International Journal of Geo-Information. 13 (4). https://doi.org/10.3390/ijgi13040123
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 and Simulation Society of Australia and New Zealand . https://doi.org/10.36334/MODSIM.2015.L18.alam