Your search found 6 records
1 Afshar, A.; Mariño, M. A. 1989. Optimization models for wastewater reuse in irrigation. Journal of Irrigation and Drainage Engineering, 115(2):185-202.
Wastewater ; Water reuse ; Optimization ; Simulation models
(Location: IWMI-HQ Call no: PER Record No: H05820)

2 Afshar, A.; Mari¤o, M. A.; Abrishamchi, A. 1991. Reservoir planning for irrigation district. Journal of Water Resources Planning and Management, 117(1):74-85.
Reservoirs ; River basin development ; Optimization ; Mathematical models
(Location: IWMI-HQ Call no: P 1768 Record No: H07821)

3 Afshar, A.; Barkhordary, A.; Mari¤o, M. A. 1994. Optimizing river diversion under hydraulic and hydrologic uncertainties. Journal of Water Resources Planning and Management, 120(1):36-47.
Dam construction ; Hydraulics ; Hydrology ; Design ; Mathematical models ; Rivers / Iran
(Location: IWMI-HQ Call no: PER Record No: H013769)

4 Mousavi, S. J.; Mahdizadeh, K.; Afshar, A.. 2004. A stochastic dynamic programming model with fuzzy storage states for reservoir operations. Advances in Water Resources, 27(11):1105-1110.
Reservoir operation ; Water storage ; Stochastic process ; Models
(Location: IWMI-HQ Call no: PER Record No: H036118)

5 Aghaie, V.; Alizadeh, H.; Afshar, A.. 2020. Agent-based hydro-economic modelling for analysis of groundwater-based irrigation water market mechanisms. Agricultural Water Management, 234:106140. [doi: https://doi.org/10.1016/j.agwat.2020.106140]
Water market ; Irrigation water ; Groundwater irrigation ; Hydrological factors ; Economic aspects ; Water pricing ; Auctions ; Agent-based models ; Decision making ; Aquifers ; Licences ; Government ; Farmers ; Case studies / Iran Islamic Republic / Rafsanjan Plain
(Location: IWMI HQ Call no: e-copy only Record No: H049682)
https://vlibrary.iwmi.org/pdf/H049682.pdf
(2.42 MB)
Agricultural water markets play a crucial role in arid and semi-arid regions by reallocating water and transferring it from low-value uses to high-value uses. Several markets for surface water and groundwater are functioning all over the world to increase economic well-being of farmers and meet environmental flow requirements. However, there is not a consensus on precisely which market mechanism may be more environmentally and economically beneficial. This study presents an agent-based groundwater market model to analyze the economic and hydrologic impacts of three market mechanisms, designed based on the cap-and-trade scheme, that differ in the price discovery process, two of which are uniform price double-auction and the third is a discriminatory price double-auction. This study also analyzes the hydrologic and economic impacts of water buyback programs. Modeling results, applied to Rafsanjan Plain, an arid region in Iran, show that the discriminatory price double-auction is the most hydrologically and economically advantageous mechanism since it reduces the annual water level drawdown by 38 % and brings about more profits for farmers in comparison with other market mechanisms. Furthermore, the buyback program effectively reduces the inequality of wealth distribution (Gini Index) and increases farmers' net benefit while reducing their surplus.

6 Vahabzadeh, M.; Afshar, A.; Molajou, A. 2023. Framing a novel holistic energy subsystem structure for water-energy-food nexus based on existing literature (basic concepts) Scientific Reports, 13:6289. [doi: https://doi.org/10.1038/s41598-023-33385-8]
Nexus approaches ; Water power ; Energy consumption ; Electricity ; Energy generation ; Fossil fuels ; Water resources ; Power plants ; Water use ; Energy demand ; Surface water ; Farm inputs / Iran Islamic Republic
(Location: IWMI HQ Call no: e-copy only Record No: H051991)
https://www.nature.com/articles/s41598-023-33385-8.pdf?pdf=button%20sticky
https://vlibrary.iwmi.org/pdf/H051991.pdf
(2.94 MB) (2.94 MB)
It is interesting to note that the country of Iran is essential in terms of energy production and consumption, and the economy of Iran is mainly dependent on energy revenues. Therefore, thermal and hydropower plants consume water to produce various energy carriers. Considering that Iran is suffering from water stress, the nexus of water and energy becomes very important. This paper frames a comprehensive structure for Iran's energy subsystem within the Water, Energy, and Food (WEF) nexus system. The energy subsystem's supply and demand side in the proposed framework are formulated using data and physic-based equations. The presented framework addresses most interactions between WEF subsystems in a dynamic and adaptive setting. It is shown that through analysis of binding interactions between WEF, different management scenarios can boost the flexibility of the supply and demand side of the energy subsystem. In addition, by incorporating this framework, the water subsystem will manage the allocated and consumed water on the supply side and arrive at the most desirable outcome for the water sector. Also, the optimal cropping pattern could be evaluated based on energy consumption.

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