Evaluation of Artificial Recharge on Groundwater Using MODFLOW Model (Case Study: Gotvand Plain-Iran)
نویسندگان
چکیده
منابع مشابه
Groundwater level simulation using artificial neural network: a case study from Aghili plain, urban area of Gotvand, south-west Iran
In this paper, the Artificial Neural Network (ANN) approach is applied for forecasting groundwater level fluctuation in Aghili plain,southwest Iran. An optimal design is completed for the two hidden layers with four different algorithms: gradient descent withmomentum (GDM), levenberg marquardt (LM), resilient back propagation (RP), and scaled conjugate gradient (SCG). Rain,evaporation, relative...
متن کاملThe Impact of the Phenomenon of Drought on Groundwater Quantity using Fuzzy Model (Case Study: Plain Gotvand- Aghili)
Abstract The negative balance of water reserves and reduce the size of static storage aquifers including the effects of the drought phenomenon is repeated on the status of surface and groundwater resources in Iran including Khuzestan province has had an impact. In this study, using fuzzy and ArcGIS version also better understand the effects created in the statistical period on the aquifer Gotv...
متن کاملThe Impact of the Phenomenon of Drought on Groundwater Quantity using Fuzzy Model (Case Study: Plain Gotvand- Aghili)
Abstract The negative balance of water reserves and reduce the size of static storage aquifers including the effects of the drought phenomenon is repeated on the status of surface and groundwater resources in Iran including Khuzestan province has had an impact. In this study, using fuzzy and ArcGIS version also better understand the effects created in the statistical period on the aquifer Gotv...
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Groundwater quality management is the most important issue in many arid and semi-arid countries, including Iran.Artificial neural network (ANN) has an extensive range of applications in water resources management. In this study,artificial neural network was developed using MATLAB R2013 software package, and Cl, EC, SO4 and NO3 qualitativeparameters were estimated and compared with the measured ...
متن کاملgroundwater level simulation using artificial neural network: a case study from aghili plain, urban area of gotvand, south-west iran
in this paper, the artificial neural network (ann) approach is applied for forecasting groundwater level fluctuation in aghili plain,southwest iran. an optimal design is completed for the two hidden layers with four different algorithms: gradient descent withmomentum (gdm), levenberg marquardt (lm), resilient back propagation (rp), and scaled conjugate gradient (scg). rain,evaporation, relative...
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ژورنال
عنوان ژورنال: Journal of Geoscience and Environment Protection
سال: 2015
ISSN: 2327-4336,2327-4344
DOI: 10.4236/gep.2015.35014