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

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...

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Bibliographic Details
Published inWater (Basel) Vol. 10; no. 11; p. 1537
Main Authors Farriansyah, Anang, Juwono, Pitojo, Suhartanto, Ery, Dermawan, Very
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 28.10.2018
Subjects
C-factor
Criteria
Efficiency
Equality
Equalization
Equity
Food security
Hydrology
Irrigation
Irrigation efficiency
Irrigation water
iteration
K-factor
Mass balance
Mathematical functions
network equation
Optimization
Planning
Real time operation
River basins
River ecology
river scheme
Rivers
Sustainability
Water allocation
Water demand
United States > US
Colorado
Texas
Indonesia
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Summary: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.
ISSN:2073-4441
2073-4441
DOI:10.3390/w10111537