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Special Issue: Advancing socio-hydrology

Socio-hydrological agent-based modelling for analysing the impacts of supply enhancement strategies on the cap-and-trade scheme

ORCID Icon, &
Pages 555-564 | Received 02 Jun 2020, Accepted 16 Dec 2020, Published online: 10 Mar 2021

Figures & data

Figure 1. Location of the proposed project in Iran

Figure 1. Location of the proposed project in Iran

Figure 2. The framework of the socio-hydrological agent-based model (ABM)

Figure 2. The framework of the socio-hydrological agent-based model (ABM)

Figure 3. Flowchart of the agent-based cap-and-trade market

Figure 3. Flowchart of the agent-based cap-and-trade market

Figure 4. Outcomes of the water transfer (WT) project and the cap-and-trade policy (C&T): time series of (a) unit hydrograph of Rafsanjan Aquifer, (b) changes in farmers’ profit (net benefit), (c) social norm, (d) water price, (e) cumulative farmers’ surplus, and (f) volume of traded water. The intervals show 95% confidence bands

Figure 4. Outcomes of the water transfer (WT) project and the cap-and-trade policy (C&T): time series of (a) unit hydrograph of Rafsanjan Aquifer, (b) changes in farmers’ profit (net benefit), (c) social norm, (d) water price, (e) cumulative farmers’ surplus, and (f) volume of traded water. The intervals show 95% confidence bands

Figure 5. Sensitivity analysis results: time series of (a) social norms and (b) unit hydrograph heads when different amounts of households’ demands are satisfied by the water transfer project (for different conveyance capacities)

Figure 5. Sensitivity analysis results: time series of (a) social norms and (b) unit hydrograph heads when different amounts of households’ demands are satisfied by the water transfer project (for different conveyance capacities)

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