Using Agent Base Model for managing the critical situation of groundwater resources and aquifer balancing (Case study: Iran-Qazvin Plain Aquifer)

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Rahmani, Hamid
Saremi, Ali
Araghinejad, Shahab
Babazadeh, Hossain
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2020
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Abstract

The main purpose was to reduce the evacuation of aquifers in the Qazvin plain and then to compensate for the deficit of the cumulative reservoir and remove the annual reservoir deficit, no reduction in the revenue of farmers, and similarly to prevent the reduction of crop production. The model was developed and calibrated. In the following, the desired scenarios were implemented by the model. After providing the raw output of the model, these outputs were processed and prioritized based on the results extracted from the desired scenarios. This study applied objected-oriented modeling and Matlab software, which had a high potential in working with large amounts of data. Based on the model, output, and analysis of the results, the best scenario in the first stage was removing the unauthorized wells and preventing the excessive withdrawal of authorize wells. But, as these measures would be countered with farmers’ resistance, there should be other measures such as increasing the guaranteed purchase price of products and increasing irrigation efficiency in order to prevent a sharp decline in their revenue and consequently to achieve a result.

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Revista INGENIERIA UC
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Subject
Environmental sciences
Science & Technology
Engineering, Multidisciplinary
Engineering
Agent Base Model (ABM)
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Rahmani, H; Saremi, A; Araghinejad, S; Babazadeh, H, Using Agent Base Model for managing the critical situation of groundwater resources and aquifer balancing (Case study: Iran-Qazvin Plain Aquifer), Revista INGENIERIA UC, 2020, 27 (2), pp. 175-188
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