A.A Nadiri; F sadeghi Aghdam; A Asgharai Moghaddam
Abstract
This study presents an intelligence committee fuzzy logic (ICFL) model to estimate the concentration of total arsenic (III, V) in the area of the Sahand Dam basin, Iran. Because of a high concentration of arsenic (III, V) compared to WHO standard, Geolology Department of Tabriz University and East Azerbaijan ...
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This study presents an intelligence committee fuzzy logic (ICFL) model to estimate the concentration of total arsenic (III, V) in the area of the Sahand Dam basin, Iran. Because of a high concentration of arsenic (III, V) compared to WHO standard, Geolology Department of Tabriz University and East Azerbaijan Regional Water Authority have attempted to sampling and analysis of surface water and groundwater resources in the mentioned area. Hydrochemical parameters Including pH, SO42-, NO3--N, F-, Fe(II, III) and As used as input parameters for Mamdani fuzzy logic (MFL), Larsen fuzzy logic (LSL) and Sugeno fuzzy logic (SFL) to estimate arsenic concentrations. The results in train and test steps showed that all of these models have a similar fitting to the arsenic concentration data in the study area. The ICFL model was adopted to combine the output of the three single fuzzy models instead of the selecting superior single model. To reap advantage of all three models, the weighted combination of the output of fuzzy models used to create a committee fuzzy model. The mentioned model uses particles population algorithm, to obtain weight based on the output of the three fuzzy models to estimate the total arsenic concentration. The results of ICFL model shows, significant fitting improvement compare to individual fuzzy logic models.
R Barzegar; A Asghari Moghaddam; A Nadiri; E Fijani
Abstract
With respect to the concentration of population, agricultural activities and industrial manufactures in Tabriz Plain area, vulnerability assessment of the plain aquifer is very useful for development, management, decision making for land use and preventing groundwater contamination. In this research, ...
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With respect to the concentration of population, agricultural activities and industrial manufactures in Tabriz Plain area, vulnerability assessment of the plain aquifer is very useful for development, management, decision making for land use and preventing groundwater contamination. In this research, vulnerability of the Tabriz plain complex aquifer to contamination was considered by DRASTIC model in GIS media and different fuzzy logic methods adapted to optimize the model. The DRASTIC model uses seven environmental parameters effective on assessment of aquifers vulnerability such as Depth to groundwater level, net Recharge, Aquifer media, Soil media, Topography, Impact of vadose zone, and hydraulic Conductivity, which created as seven layers in ArcGIS media and weighted, rated and compiled, finally groundwater contamination vulnerability map was prepared and the DRASTIC index for the study area calculated between 40 to 126. The vulnerability map created by DRASTIC is compared to nitrate data and the results indicated a relative correlation between the nitrate level and vulnerability index. The Sugeno, Mamdani and Larsen fuzzy logic methods were adapted for optimizing the weights of the DRASTIC parameters. For this purpose, the DRASTIC parameters as input data and the vulnerability index as output data were defined for fuzzy models and nitrate concentration data were divided in two categories for training and test steps. The output of model in training step was corrected by related nitrate concentration, and after model training, the output of model in test step was verified by nitrate concentration. The results obtained from different fuzzy models show that the Sugeno fuzzy logic model is an applicable and useful method for optimizing DRASTIC model. According to the final model results, the eastern part of the area, inside the Tabriz city limits, has the maximum potential rate for contamination.
A. Asghari Moghaddam; E. Fijani
Abstract
Maku area is located in the north of West Azarbaijan, northwest of Iran. In this area, groundwater supplies main water demands for different purposes such as drinking, agriculture and industry. The aim of this research is to study the groundwater hydrochemistry, hydrogeological relation between karstic ...
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Maku area is located in the north of West Azarbaijan, northwest of Iran. In this area, groundwater supplies main water demands for different purposes such as drinking, agriculture and industry. The aim of this research is to study the groundwater hydrochemistry, hydrogeological relation between karstic and basaltic aquifers, determination of probable hydrochemical anomalies and their genesis and suitable methods for removal of these anomalies. For this purpose, in adition to available hydrochemical data, 72 water samples were collected from wells and springs in high and low level groundwater durations and were been analyzed for some trace elements. The results indicate fluoride anomaly in this area. In order to examine the hydrochemistry of the study area, graphical and mass balance methods were used. Both of these methods confirm the basaltic origin of fluoride anomalies. Consequently, hydrogeological relation between karstic and basaltic aquifer is established. Petrologic studies show that basaltic rocks of the area have appropriate conditions for occurrence of fluoroapatite; as a result, fluoroapatitic origin for high concentration of fluoride is identified. The most suitable methods for removal of the fluoride proposed to be adsorption on Defluoron2 and exchanging Cl- with F- by anionic resin in the study area.
