Evaluation of Quantitative and Qualitative Groundwater Monitoring Network of Dez Plain Using Entropy Theory

Document Type : Research Paper


1 Department of Environmental Engineering, Faculty of Water and Environmental Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran.

2 Department of Hydrology and Water Resources, Faculty of Water and Environmental Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran.



In this study, entropy theory and the modified Mann-Kendall test were used to monitoring the quality and quantity of groundwater in the Dez Plain regarding temporal and spatial changes, as well as the excess and deficiency of stations in the aquifer. The values of groundwater level (28 stations), electrical conductivity and chlorine (30 stations) in the period of 1999-2019 were investigated in this study. The results of the analysis of trend changes show major increasing trend in qualitative values (80% of stations) and major decreasing trend in groundwater level values (53 percent of stations). The multivariable regression model has an average error of 0.10 mg/liter in the simulation of chlorine values, 15 μm/cm for the simulation of electrical conductivity values, and 0.49 m in the simulation of groundwater level values. By examining the entropy theory, the values of the information transfer index indicated the average conditions of the groundwater level and relatively excess conditions of qualitative values in terms of information transfer in the region. The transmission of chlorine information in the southwest of the aquifer and the transmission of groundwater level information in the southeast of the aquifer are in a state of deficiency. According to the existing conditions regarding the quantitative monitoring and electrical conductivity monitoring of the groundwater, the Dez aquifer is in a good condition and the distribution of the stations is also suitable, but regarding the optimal monitoring of the aquifer in terms of transmission of chlorine information, the need for a station in the southeast of the aquifer is felt. By ranking the stations using net exchange information, the best stations were introduced in terms of quantitative and qualitative values.


Main Subjects

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