A new river system modelling tool for sustainable operational management of water resources

Dutta, Dushmanta; Wilson, Kym; Welsh, Wendy; Nicholls, David; Kim, Shaun; Cetin, Lydia

doi:10.1016/j.jenvman.2013.02.028

Cited by 25 publications

(8 citation statements)

References 10 publications

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“…point locations) within the SEQ stream network. The Australian national hydrological modelling software eWater Source (Dutta et al ., ) was used and calibrated with gauging records to estimate actual rather than natural daily flow (T. Weber, pers. comm).…”

Section: Methodsmentioning

confidence: 99%

Unravelling the joint effects of flow regime, climatic variability and dispersal mode on beta diversity of riverine communities

2016

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Summary Differences in the composition of ecological communities among rivers with contrasting flow regimes have been detected in many regions worldwide. However, we know little of how climatic variation alters these spatial patterns for constituent species with varying dispersal modes and strengths. We predicted that beta diversity (spatial variation in composition) of macroinvertebrate and fish assemblages among streams with near‐perennial, mildly intermittent and highly intermittent flow regimes would be greater during prolonged drought than under wetter climate conditions. We hypothesised that changes in beta diversity between these climate phases would be greater for taxa with stronger dispersal ability. We tested these predictions with biomonitoring data from Australian subtropical rivers. Differences in average community composition among flow regimes were statistically significant for six groups of macroinvertebrates with differing dispersal (non‐swimmers, weak swimmers, strong swimmers, non‐fliers, weak fliers and strong fliers) and two groups of fish (potamodromous and diadromous), but not for locally dispersing fish. For each of these biotic groups, shifts in assemblage composition between supra‐seasonal drought and a subsequent non‐drought period were either statistically non‐significant or of similar magnitude among flow regimes. Therefore, beta diversity among flow regimes did not change significantly with climate phase. Beta diversity within flow‐regime classes was greater during the drought than afterwards or not significantly different between climate phases, depending on the flow regime and biotic group. Stronger powers of flight were associated with greater change in beta diversity between climate phases in near‐perennial streams, but stronger powers of swimming were not. Within‐regime beta diversity was driven more by replacement of taxa among samples than by nestedness, except for diadromous fish in near‐perennial streams. Our findings are consistent with the hypothesis that decreasing hydrological connectivity and greater environmental heterogeneity during prolonged drought increase beta diversity of stream communities. However, changes in beta diversity between climate phases were not as pronounced as we expected. The communities may have been somewhat drought resistant because the magnitude and duration of the drought were within the range of historical variability and because surface water persisted at study sites during drought‐imposed flow cessations. Our findings suggest that maintenance of refuge pools will be critical to lessening drought impacts on river biodiversity at landscape scales, particularly if drought duration and intensity increase in the future.

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Section: Methodsmentioning

confidence: 99%

Unravelling the joint effects of flow regime, climatic variability and dispersal mode on beta diversity of riverine communities

2016

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“…In Ashbolt et al (2016), multi-objective simulationoptimisation was applied to the case study using the Source simulation-optimisation software (Dutta et al 2013) to identify operating rules that are optimal in terms of the three management objectives. Source uses the NSGA-II genetic algorithm (Deb et al 2002).…”

Section: Case Studymentioning

confidence: 99%

Interpreting a Pareto set of operating options for water grids: a framework and case study

Ashbolt

Maheepala

Perera

2017

Hydrological Sciences Journal

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Multi-objective optimisation is being increasingly applied in water supply management to identify optimal operating options. However, a key challenge in the implementation of multiobjective optimisation is interpreting the large and multidimensional Pareto-optimal set. This paper shows how cluster, visual and post-optimisation analysis can aid the decision maker in addressing this challenge. This is demonstrated for a case study based on South East Queensland Water Grid, Australia, as part of a broader operational planning framework. Firstly, cluster analysis identifies a smaller set of representative options to aid in visual analysis. Secondly, visual analysis techniques are used to identify the trade-offs between objectives, the relationships between decision variables and objective performance, and to shortlist promising operating options. Finally, post-optimisation analysis techniques identify efficient operating options from the Pareto set, based on decision-maker preferences. Together these techniques can be used to identify a shortlist of operating options, for further consideration using multicriteria analysis.

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“…The Accord water-sharing is implemented in Source via a series of functions [45] that take input from the provincial scale forecasting and sharing, as described in Section 2.1.4, which is currently undertaken outside of the Source modelling framework in the Pakistan Water Apportionment Accord (WAA) tool [46,47]. Previous IRSM simulations [44] implemented a simplified provincial allocation system entirely in Source functions; however, this did not capture the iterative storage balancing required or the updating of the probabilistic forecasting approach as the model progresses through each year of simulation.…”

Section: Water Allocation and Distribution Systemmentioning

confidence: 99%

Development of the Indus River System Model to Evaluate Reservoir Sedimentation Impacts on Water Security in Pakistan

Podger

Ahmad

et al. 2021

Water

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Pakistan’s society and economy are highly dependent on the surface and groundwater resources of the Indus River basin. This paper describes the development and implementation of a daily Indus River System Model (IRSM) for the Pakistan Indus Basin Irrigation System (IBIS) to examine the potential impact of reservoir sedimentation on provincial water security. The model considers both the physical and management characteristics of the system. The model’s performance in replicating provincial allocation ratios is within 0.1% on average and the modeling of water flow at barrages and delivered to irrigation canal commands is in agreement with recorded data (major barrage NSE 0.7). The average maximum volumetric error for the Tarbela and Mangla reservoirs are respectively 5.2% and 8.8% of mean annual inflow. The model showed that a 2.3 km3 reduction in storage volume since 1990 equates to approximately 1.3 km3 i.e., a 4–5% reduction in irrigation deliveries, respectively, for Punjab and Sindh in the dry (Rabi) season. This decline indicates that without further augmentation of system storage, the Rabi season supplies will continue to be further impacted in the future. This paper demonstrates the suitability of IRSM for exploring long term planning and operational rules and the associated impacts on water, food and energy security in Pakistan.

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A new river system modelling tool for sustainable operational management of water resources

Cited by 25 publications

References 10 publications

Unravelling the joint effects of flow regime, climatic variability and dispersal mode on beta diversity of riverine communities

Unravelling the joint effects of flow regime, climatic variability and dispersal mode on beta diversity of riverine communities

Interpreting a Pareto set of operating options for water grids: a framework and case study

Development of the Indus River System Model to Evaluate Reservoir Sedimentation Impacts on Water Security in Pakistan

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