Your search found 6 records
1 Karamouz, M.; Zahraie, B.; Kerachian, R.. 2003. Development of a master plan for water pollution control using MCDM techniques: A case study. Water International, 28(4):478-490.
Water pollution ; Pollution control ; Planning ; Decision making / Iran / Zayandeh-rud River / Isfahan Province
(Location: IWMI-HQ Call no: PER Record No: H033537)
2 Karamouz, M.; Tabari, M. M. R.; Kerachian, R.. 2007. Application of genetic algorithms and artificial neural networks in conjunctive use of surface and groundwater resources. Water International, 32(1):163-176.
Surface water ; Groundwater ; Conjunctive use ; Irrigation water ; Neural networks ; Simulation models ; Optimization / Iran / Tehran Aquifer / Kan River
(Location: IWMI HQ Call no: P 7977 Record No: H040524)
3 Lalehzari, R.; Kerachian, R.. 2020. Developing a framework for daily common pool groundwater allocation to demands in agricultural regions. Agricultural Water Management, 241:106278. (Online first) [doi: https://doi.org/10.1016/j.agwat.2020.106278]
Groundwater ; Water allocation ; Agricultural regions ; Irrigation systems ; Irrigation water ; Water productivity ; Cropping patterns ; Crop water use ; Soil water balance ; Water supply ; Decision making ; Strategies ; Economic aspects ; Models ; Uncertainty / Iran Islamic Republic / Shahrekord Plain
(Location: IWMI HQ Call no: e-copy only Record No: H049923)
(5.95 MB)
In this paper, a new methodology is developed for the allocation of groundwater to agricultural lands considering the cultivated area of different crops, selling price and net benefit of products, and crops’ water requirements. The methodology includes an integrated model with daily time steps for simulating soil water balance, cultivar growth, and groundwater level fluctuations. The developed simulation model is linked with a particle swarm optimization model to find the optimal net benefit of beneficiaries. The non-dominated sorting genetic algorithm is also implemented to evaluate the fuzzy responses of the model against the existing uncertainty in the water supply. To evaluate the applicability and efficiency of the proposed methodology, it is applied to a real-world common pool groundwater allocation for agricultural uses in Iran. The results show that a centralized water allocation strategy can increase water productivity under water stress conditions by more than 0.2 kg/m3 for wheat, and barley. This policy can also provide the highest values for the benefit per cost ratio and the economic efficiency of land.
4 Ahmadi, A.; Kerachian, R.; Skardi, M. J. E.; Abdolhay, A. 2020. A stakeholder-based decision support system to manage water resources. Journal of Hydrology, 589:125138. [doi: https://doi.org/10.1016/j.jhydrol.2020.125138]
Water resources ; Water management ; Decision support systems ; Stakeholders ; Natural resources management ; Wastewater ; Social networks ; Welfare ; Decision making ; Models / Iran Islamic Republic / Tehran / Kan River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H049947)
(1.82 MB)
Based on the Social Choice Theory (SCT), a new Decision Support System (DSS) is presented and employed to rank-order management alternatives (i.e. scenarios) in the water resources management system of Tehran metropolitan area, Iran. In the framework of the presented DSS, the quantitative characteristics of the stakeholders are taken into account to develop a decentralized decision-making method. An agent-based simulation model is employed to evaluate the outcomes of implementing each management scenario by calculating nine distinct environmental, social, and economic criteria over a 25-year simulation period. It is shown that the best scenarios selected by the DSS have merits to enhance the sustainability of the water resources in the study area, and to shift the stakeholders’ network towards cooperation and collaboration.
5 Sharghi, S.; Kerachian, R.. 2021. An uncertainty-based smart market model for groundwater management. Water Supply, 22p. (Online first) [doi: https://doi.org/10.2166/ws.2021.400]
Groundwater management ; Water market ; Models ; Uncertainty ; Water availability ; Water productivity ; Groundwater extraction ; Aquifers ; Farmers / Iran Islamic Republic / Rafsanjan Plain / Nough Plain
(Location: IWMI HQ Call no: e-copy only Record No: H050761)
https://iwaponline.com/ws/article-pdf/doi/10.2166/ws.2021.400/972826/ws2021400.pdf
https://vlibrary.iwmi.org/pdf/H050761.pdf
https://vlibrary.iwmi.org/pdf/H050761.pdf
(2.02 MB) (2.02 MB)
This paper presents a new water market mechanism, which can be used for selecting the best trading policy by incorporating the uncertainties of total annual available water and wholesale price of agricultural products. In this mechanism, water users are asked to submit bid packages via a web-based platform. A bid package represents the real values that a user puts on different quantities of withdrawn groundwater considering its quality. Then, the most reliable water trading policy as well as the price of water are calculated by taking the market endogenous and exogenous uncertainties into account using the regret theory. The results show that by applying the proposed uncertainty-based smart groundwater market mechanisms to the Nough Plain in Iran, the average productivity of water users increases about 18% compared to the status quo condition. Furthermore, based on the outputs of the proposed market model, groundwater is finally distributed to agricultural users almost proportional to their farms area.
6 Yazdanparast, M.; Ghorbani, M.; Salajegheh, A.; Kerachian, R.. 2023. Development of a water security conceptual model by combining Human-Environmental System (HES) and system dynamic approach. Water Resources Management, 37(4):1695-1709. [doi: https://doi.org/10.1007/s11269-023-03449-5]
Water security ; Models ; Watersheds ; Water resources ; Participatory approaches ; Policies ; Ecosystem services ; Water governance ; Population growth ; Political aspects ; Resilience ; Economic development ; Sustainability / Iran Islamic Republic / Khorasan Razavi / Neyshabur Plain Watershed
(Location: IWMI HQ Call no: e-copy only Record No: H051809)
(0.96 MB)
The water shortage crisis that is sweeping the world today has posed serious harm and threat to people around the world. Meanwhile, Iran is one of the water-scarce countries due to its location in arid and semi-arid belt and fluctuations in rainfall. The pervasive nature of water and the existence of numerous human and environmental factors affecting its reliability have greatly complicated the interactions between the human-environment dimensions. Therefore, there is a need to merge knowledge from the social and natural sciences. In this regard, this study aimed to provide a water security conceptual model in the Neishabour plain watershed by combining a framework for Human - Environmental System (HES) interactions and System Dynamic (SD) aproach in relation to the concept of water security. For this purpose, a qualitative research method consists of combined an initial conceptual model with a Causal Loop Diagram (CLD) obtained from interviews with the key research community was used to present relationships and develop a conceptual model of water security. The results show that understanding the hierarchical levels of environmental awareness and ultimately learning and practice based on key components and interactions identified by the HES framework, facilitates the analysis of system complexity. In this regard, if water resources management organization pay attention to the factors affecting the concept of water security, by using and implementing the conceptual model presented in this study, it is possible to improve the compatibility capacity and develop effective operational plans with correct and timely pathology to achieved more stable and comprehensive water resources management in the watersheds.
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