Bahareh Jebalbarezi; Arash Malekian
Volume 26, Issue 2 , July 2019, , Pages 292-301
Abstract
Modeling and prediction of groundwater level is one of the basic tasks to achieve optimal management of water resources. One way to predict the groundwater level is using artificial intelligence techniques such as neural networks and gene expression planning. The aim of this study ...
Read More
Modeling and prediction of groundwater level is one of the basic tasks to achieve optimal management of water resources. One way to predict the groundwater level is using artificial intelligence techniques such as neural networks and gene expression planning. The aim of this study was to evaluate the effectiveness of artificial neural network (ANN) and gene expression methods in predicting groundwater level of Jiroft plain aquifer. For this purpose, the data from 65 piezometric wells in the Jiroft plain aquifer was used for a period of eleven years. The level of piezometric wells by each of the techniques of gene expression and neural network were simulated separately and at the end, the root mean square, mean absolute error, and R2 were used to determine the accuracy of the predictions of each of the methods.The results of this study showed the higher efficiency and accuracy of both neural network techniques and gene expression in predicting the groundwater level region. The correlation coefficient in the artificial neural network method gene expression method was equal to 0.96 and 0.72, respectively, indicating the higher efficiency of artificial neural network in the simulation of Jiroft plain groundwater data over the period studied.
Saeed Barkhori; Rasoul Mahdavi; Gholamreza Zehtabian; Hamid Gholami
Volume 25, Issue 2 , August 2018, , Pages 355-365
Abstract
The aim of this study was to investigate the temporal and spatial changes trend of groundwater quality for drinking purposes in Jiroft plain. The role of land use and geological formations in the groundwater quality was also investigated. In this study, the parameters of electrical ...
Read More
The aim of this study was to investigate the temporal and spatial changes trend of groundwater quality for drinking purposes in Jiroft plain. The role of land use and geological formations in the groundwater quality was also investigated. In this study, the parameters of electrical conductivity, sodium adsorption ratio, pH, calcium, chlorine, magnesium, sodium, and sulfate were used and the zoning of qualitative data was done by the geostatistical method of Kriging in ArcGIS9.3 software; then, the classification of the region was done using Schoeller diagram. Results showed that in 2001, southern parts of the study area had a lower quality of groundwater but in 2014, northern parts had a lower quality. According to the results, the groundwater quality decreased overtime and the decreasing trend spread from the south to the center and the north of the region. Also, the land use map showed a low quality of groundwater in agricultural lands. The geology map showed a low quality of groundwater in central and southern parts. In general, it can be concluded that the water quality of the study area for drinking is decreased over time and influenced by land use and geological formations; thus, to improve the quality of groundwater resources the role of human factors (land use and agricultural activities) need be taken into account.