Optimization of Groundwater Quality Monitoring Network in Mashhad Aquifer Using Spatio-Temporal Modeling

Document Type : Original Article

Authors

1 PhD Candidate, Irrigation & Drainage, International Campus, Ferdowsi University of Mashhad, Iran

2 Professor, Department of Water Engineering, Ferdowsi University of Mashhad, Iran

3 Associate Professor, Department of Water Engineering, Ferdowsi University of Mashhad, Iran.

Abstract

Optimization of monitoring network is the best possible process for decision-making in an available network. Considering economic objectives and for reducing the costs of monitoring, optimization approach in this study is based on decreasing the groundwater quality monitoring stations in Mashhad aquifer. Using an algorithm based on entropy and nitrate pollution index, optimizing the monitoring network was conducted with 287 wells in the period of 2002 to 2011. First, the average of each station rank was calculated based on 9 statistical years. Then, some models were proposed for entropy of the network in terms of station numbers and time. After fitting the best network entropy model, the results showed that 111 wells are sufficient as groundwater quality monitoring stations for Mashhad. In order to approve the proposed network, 111 random networks were selected in each year, and by comparing the entropy of the network to the selected network, the performance of that network was confirmed. Also, the selected network performance was confirmed for future of Mashhad aquifer.

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References

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History

  • Receive Date: 19 February 2016
  • Revise Date: 23 March 2016
  • Accept Date: 23 March 2016

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