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Information Journal Paper

Title

Minimization of groundwater observation wells using geostatistics and optimization technique (Case study: Dezfoul-Andimeshk plain)

Pages

  79-96

Abstract

 Background and Objectives: Groundwater is one of the most valuable water resources owing to its quantity and quality. Measuring water level is a basic and essential step in any Groundwater study. Since the measured data are derived only from a limited number of observation points and, at the same time, they must be extended to the whole surface of the zone, it is essential to determine optimal location of measuring network. Accordingly, for reduction of observation wells, a number of them were eliminated in such a way that the remaining wells have an optimal combination. Materials and Methods: Dezfoul-Andimeshk plain, located in north of Khouzestan province, was investigated as a case study. Kriging, as the best linear unbiased estimator, was used for interpolation of Groundwater level. Based on the measured data of 76 studied observation wells, a theoretical variogram was fitted to empirical variogram points. To achieve the optimal combination, Tabu search algorithm (a meta-heuristic algorithm) was used. Two computer programs including GSLIB and MATLAB were used for Kriging and Tabu search, respectively. By connecting these two programs and providing conditions for the exchange of information between them, a model called optimizer model was developed to provide the ability to optimize the Groundwater level measurement network. The observation points are distributed in such a way that minimize the variance estimation error limited to the plain extent. Results: Optimization model was implemented for five completely different modes. For the first to third cases, which aimed only at verifying the model, the optimal selection of one, two, and three observation wells was presented, which, by comparing the complete search method, verified the functionality of the model was confirmed. In the fourth and fifth cases, the optimal selection of 50 and 60 out of 76 observation wells were presented for which the Groundwater levels were compared and the results showed that there exists a good match between the Groundwater surface results in comparison with those of whole wells (76 wells). Conclusion: Due to the fact that the variogram of the region is an isotropic variogram, the distribution of wells is uniform in different directions. This is tangible for the first to third cases in which the number of wells is small. The results of Optimization of 50 and 60 observation wells without any interference during the Optimization process were automatically achieved by the model. The comparison of the Groundwater level confirms the accuracy of the model results. Also, the results showed a great deal of time saving through the use of the present model.

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    APA: Copy

    Raeisi Isaabadi, A., GHAFOURI, H.R., & MOSLEMZADEH, M.. (2018). Minimization of groundwater observation wells using geostatistics and optimization technique (Case study: Dezfoul-Andimeshk plain). JOURNAL OF WATER AND SOIL CONSERVATION (JOURNAL OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES), 25(3 ), 79-96. SID. https://sid.ir/paper/156120/en

    Vancouver: Copy

    Raeisi Isaabadi A., GHAFOURI H.R., MOSLEMZADEH M.. Minimization of groundwater observation wells using geostatistics and optimization technique (Case study: Dezfoul-Andimeshk plain). JOURNAL OF WATER AND SOIL CONSERVATION (JOURNAL OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES)[Internet]. 2018;25(3 ):79-96. Available from: https://sid.ir/paper/156120/en

    IEEE: Copy

    A. Raeisi Isaabadi, H.R. GHAFOURI, and M. MOSLEMZADEH, “Minimization of groundwater observation wells using geostatistics and optimization technique (Case study: Dezfoul-Andimeshk plain),” JOURNAL OF WATER AND SOIL CONSERVATION (JOURNAL OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES), vol. 25, no. 3 , pp. 79–96, 2018, [Online]. Available: https://sid.ir/paper/156120/en

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