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.

scholarly journals Decision Support Tool for Offshore Wind Farm Vessel Routing under Uncertainty

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2190 ◽  
Author(s):  
Rafael Dawid ◽  
David McMillan ◽  
Matthew Revie
Keyword(s):  
Wind Farm ◽  
Real Life ◽  
Synthetic Data ◽  
Optimal Solution ◽  
Decision Support Tool ◽  
Offshore Wind ◽  
Offshore Wind Farm ◽  
Support Tool ◽  
Trade Offs ◽  
The Impact

This paper for the first time captures the impact of uncertain maintenance action times on vessel routing for realistic offshore wind farm problems. A novel methodology is presented to incorporate uncertainties, e.g., on the expected maintenance duration, into the decision-making process. Users specify the extent to which these unknown elements impact the suggested vessel routing strategy. If uncertainties are present, the tool outputs multiple vessel routing policies with varying likelihoods of success. To demonstrate the tool’s capabilities, two case studies were presented. Firstly, simulations based on synthetic data illustrate that in a scenario with uncertainties, the cost-optimal solution is not necessarily the best choice for operators. Including uncertainties when calculating the vessel routing policy led to a 14% increase in the number of wind turbines maintained at the end of the day. Secondly, the tool was applied to a real-life scenario based on an offshore wind farm in collaboration with a United Kingdom (UK) operator. The results showed that the assignment of vessels to turbines generated by the tool matched the policy chosen by wind farm operators. By producing a range of policies for consideration, this tool provided operators with a structured and transparent method to assess trade-offs and justify decisions.

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.

scholarly journals Multi Reservoir Water Price and Allocation Model

2019 ◽  
Vol 9 (1) ◽  
pp. 2220-2227
Keyword(s):  
Optimization Model ◽  
Water Allocation ◽  
Flood Control ◽  
Simulation Analysis ◽  
River System ◽  
Water Price ◽  
Net Benefit ◽  
Reservoir Water ◽  
Allocation Model ◽  
Optimal Water Allocation

Many water planning, researches have been done but water pricing has not been considered as the prime factor. Cost allocation is required whenever a project deals with multi-purpose groups. An optimization model which is accommodating the water allocation and water price must be developed in Indonesia. The new linear optimization model is developed to present a method for the determination of equitable impact fees and optimal water allocation for single reservoir. The proposed method is demonstrated on a river system with 4 major reservoirs. Each reservoir system serves 5 uses (irrigation, hydroelectric and flood control, industrial and domestic need). Using optimization with the cost of the reservoir and its facilities as targets and the objective function is maximization of total net benefit of user income, water allocation as x variable and water price as the y variable will produce the optimal result. The result is the optimal water allocation with a minimal water price which is present on 3 simulation analysis. The result of the model is in a graphic and table presentation, which can be used easily to determine the water allocation and water price per m3 in all reservoir systems

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 A decision-support tool for water allocation in the Volta Basin

2009 ◽  
Vol 34 (1) ◽  
pp. 71-87 ◽  
Author(s):  
Devaraj de Condappa ◽  
Anne Chaponnière ◽  
Jacques Lemoalle
Keyword(s):  
Decision Support ◽  
Water Allocation ◽  
Decision Support Tool ◽  
Support Tool ◽  
Volta Basin

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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