Corrigendum to: Trajectory river modelling – a decision-support tool to help manage multiple risks associated with planning around variable water resources

2020 ◽  
Vol 71 (8) ◽  
pp. 1040
Author(s):  
Mat Gilfedder ◽  
Geoff Podger ◽  
David W. Rassam ◽  
Dan Pagendam ◽  
Catherine J. Robinson
Keyword(s):  
River Flow ◽  
River System ◽  
Decision Support Tool ◽  
Resource Planning ◽  
Support Tool ◽  
System Models ◽  
Multiple Risks ◽  
Murray Darling Basin ◽  
River Modelling ◽  
Variable Water

The application of river-system models to inform water-resource planning and management is a growing global phenomenon. This requires models to be applied so that they are useful to water decision makers charged with setting targets that provide adequate water flows to sustain landholders and communities. This article examines why and how the innovative application of river-system models can facilitate interactions between water science and water management in Australia's Murray–Darling Basin (the Basin). A trajectory river-modelling method was applied to run multiple short historical climate sequences through a river-system model to provide historical probabilities. These can allow better assessment of the risks and impacts associated with stream flow and water availability. This method allows known historical variability to be presented, and produces relevant results for a 10–15-year water-sharing plan lifetime. The benefits were demonstrated in the Basin's Lachlan Catchment where modelled river-flow results demonstrated the increased variability between shorter 15-year sequences than for a single 114-year run. This approach highlighted the benefits of expressing modelling results as historical probabilities to inform short-term and strategic water-planning efforts.

Trajectory river modelling – a decision-support tool to help manage multiple risks associated with planning around variable water resources

2014 ◽  
Vol 65 (12) ◽  
pp. 1072 ◽  
Author(s):  
Mat Gilfedder ◽  
Geoff Podger ◽  
David W. Rassam ◽  
Dan Pagendam ◽  
Catherine J. Robinson
Keyword(s):  
River Flow ◽  
River System ◽  
Decision Support Tool ◽  
Resource Planning ◽  
Support Tool ◽  
System Models ◽  
Multiple Risks ◽  
Murray Darling Basin ◽  
River Modelling ◽  
Variable Water

The application of river-system models to inform water-resource planning and management is a growing global phenomenon. This requires models to be applied so that they are useful to water decision makers charged with setting targets that provide adequate water flows to sustain landholders and communities. This article examines why and how the innovative application of river-system models can facilitate interactions between water science and water management in Australia’s Murray–Darling Basin (the Basin). A trajectory river-modelling method was applied to run multiple short historical climate sequences through a river-system model to provide historical probabilities. These can allow better assessment of the risks and impacts associated with stream flow and water availability. This method allows known historical variability to be presented, and produces relevant results for a 10–15-year water-sharing plan lifetime. The benefits were demonstrated in the Basin’s Lachlan Catchment where modelled river-flow results demonstrated the increased variability between shorter 15-year sequences than for a single 114-year run. This approach highlighted the benefits of expressing modelling results as historical probabilities to inform short-term and strategic water-planning efforts.

scholarly journals Water Allocation Computation Model for River and Multi-Reservoir System with Sustainability-Efficiency-Equity Criteria

Water ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 1537
Author(s):  
Anang Farriansyah ◽  
Pitojo Juwono ◽  
Ery Suhartanto ◽  
Very Dermawan
Keyword(s):  
Network Flow ◽  
Water Allocation ◽  
Performance Test ◽  
Synthetic Data ◽  
Extended Period ◽  
River System ◽  
Decision Support Tool ◽  
Allocation Model ◽  
Support Tool ◽  
Time Operation

Limitation and inequality of water in interspace and time opposite to the increased water demand indicated from the density of headwork nodes in the river system. It requires proportional-equal water allocation determined by the model. Existing models are not based on water as a public good and not using the sustainability-efficiency-equity criteria despite irrigation is the biggest use. The Water Allocation Model Equalization or in Indonesian it is called “Model Ekualisasi Alokasi Air” (MEQAA) is proposed. MEQAA modeling system is inspired by the shortage of irrigation water for a quite extended period of time and the complexity of the water allocation system in the Lombok river basin. MEQAA is assisted by MS Excel-VBA 2016 that can be tracked automatically on an independent river system scheme to create a network equation with mass balance principle and operation rule. This model is based on the dynamic-deterministic, so the performance test can be used with synthetic data. This experiment was compared with the output from the equalization method and the “first-come, first-served” (FCFS) method. The conclusions of this experiment are: (a) MEQAA can build a specific model according to a network-flow configuration for optimization-simulation with iteration of K-factor (release portion) and C-factor (storage portion) in order to get a maximum and equal and (b) the FCFS method can be detrimental to the river system. MEQAA is suggested as a decision support tool for water allocation planning or real-time operation.

Linking water-resource models to ecosystem-response models to guide water-resource planning - an example from the Murray - Darling Basin, Australia

2011 ◽  
Vol 62 (3) ◽  
pp. 279 ◽  
Author(s):  
Rebecca E. Lester ◽  
Ian T. Webster ◽  
Peter G. Fairweather ◽  
William J. Young
Keyword(s):  
Water Resource ◽  
Ecological Impact ◽  
South Australia ◽  
River System ◽  
Resource Planning ◽  
Ecosystem Response ◽  
Tight Coupling ◽  
Coupled Models ◽  
Management Actions ◽  
Murray Darling Basin

Objectively assessing ecological benefits of competing watering strategies is difficult. We present a framework of coupled models to compare scenarios, using the Coorong, the estuary for the Murray–Darling River system in South Australia, as a case study. The framework links outputs from recent modelling of the effects of climate change on water availability across the Murray–Darling Basin to a hydrodynamic model for the Coorong, and then an ecosystem-response model. The approach has significant advantages, including the following: (1) evaluating management actions is straightforward because of relatively tight coupling between impacts on hydrology and ecology; (2) scenarios of 111 years reveal the impacts of realistic climatic and flow variability on Coorong ecology; and (3) ecological impact is represented in the model by a series of ecosystem states, integrating across many organisms, not just iconic species. We applied the approach to four flow scenarios, comparing conditions without development, current water-use levels, and two predicted future climate scenarios. Simulation produced a range of hydrodynamic conditions and consequent distributions of ecosystem states, allowing managers to compare scenarios. This approach could be used with many climates and/or management actions for optimisation of flow delivery to environmental assets.

scholarly journals A systematic approach for ERP implementation in the construction industry

2017 ◽  
Vol 23 (5) ◽  
pp. 594-603 ◽  
Author(s):  
Laith HADIDI ◽  
Sadi ASSAF ◽  
Adel ALKHIAMI
Keyword(s):  
Construction Industry ◽  
Enterprise Resource Planning ◽  
Systematic Approach ◽  
Decision Support Tool ◽  
Resource Planning ◽  
Project Finance ◽  
Erp Implementation ◽  
Support Tool ◽  
Study Approach ◽  
Expected Benefits

The objective of this paper is to provide a decision support tool that helps in prioritizing enterprise resource planning (ERP) modules’ implementation. The literature shows high risks of failure during the ERP implementation in construction in­dustry. This research provides a systematic approach to have a successful ERP implementation in the construction industry. The provided approach of this research helps construction companies worldwide and specifically Saudi Arabia to better implement ERP projects. A case study approach is conducted with experts in ERP implementation at construction field in order to rank different ERP modules. This research develop a four step methodology to sequence the ERP module implementation. The first step defines the most common ERP modules in the construction industry. The second step defines the expected benefits of ERP implementation. The third step will define the importance index (I). Finally, the fourth step rank the ERP modules based on the global index that combines the criteria index and module index. The main findings of this research provided a comprehensive list of thirteen ERP modules ranked according to the Saudi construction industry. Out of thirteen modules, the top ranked mod­ules were inventory control and logistics, procurement, and project finance and accounting.

A protocol for sampling pastures in hill country

2016 ◽  
Vol 78 ◽  
pp. 203-209 ◽  
Author(s):  
K.J. Hutchinson ◽  
D.R. Scobie ◽  
J. Beautrais ◽  
A.D. Mackay ◽  
G.M. Rennie ◽  
...  
Keyword(s):  
Random Sampling ◽  
Geographical Information Systems ◽  
Field Measurements ◽  
Decision Support Tool ◽  
Accurate Estimate ◽  
Ease Of Use ◽  
Geographical Information ◽  
Support Tool ◽  
Topographic Complexity ◽  
Hill Country

To develop a protocol to guide pasture sampling for estimation of paddock pasture mass in hill country, a range of pasture sampling strategies, including random sampling, transects and stratification based on slope and aspect, were evaluated using simulations in a Geographical Information Systems computer environment. The accuracy and efficiency of each strategy was tested by sampling data obtained from intensive field measurements across several farms, regions and seasons. The number of measurements required to obtain an accurate estimate was related to the overall pasture mass and the topographic complexity of a paddock, with more variable paddocks requiring more samples. Random sampling from average slopes provided the best balance between simplicity and reliability. A draft protocol was developed from the simulations, in the form of a decision support tool, where visual determination of the topographic complexity of the paddock, along with the required accuracy, were used to guide the number of measurements recommended. The protocol was field tested and evaluated by groups of users for efficacy and ease of use. This sampling protocol will offer farmers, consultants and researchers an efficient, reliable and simple way to determine pasture mass in New Zealand hill country settings. Keywords: hill country, feed budgeting, protocol pasture mass, slope

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