Keeping the water table at a favorable level is quite significant for a sustainable management of groundwater plans. Various management measures need to know the spatial and temporal behavior of groundwater. Therefore, the measurement of groundwater levels are generally carried out at spatially random locations in the field; whereas, most of the groundwater models requires these measurement at ...

The present study attempts to estimate the shadow price of unextracted groundwater in the Vozvozi aquifer. In the context of this study, we model the production function of vertically integrated agricultural firms in terms of an input-oriented distance function with multiple inputs. Duality theory is employed in order to extract information regarding the in situ shadow price of groundwater. Thi...

Groundwater level prediction in a water basin plays a significant role in the management of groundwater resources. Aground water level forecasting system is developed in this study using Support vector Machines (SVM). Further Quantum behaved Particle Swarm Optimization (QPSO) function is employed in this study to determine the SVM parameters. Later, the proposed SVM-QPSO model is used in determ...

the groundwater resources of the urmia plain have been under intensive tension for the last recent years. this has caused the production and observation wells to become dry and in some local places well deepening to take place. in some other locations, the groundwater level is high and there is a danger of local water logging condition along with its associated drainage work. for the settlement...

groundwater quality has a direct impact on human life. the main objective of this research is to investigate changes in groundwater quality and levels in lake urmia basin. tasoj and shiramin plains are selected as a study area. the suitability of groundwater quality for drinking and agricultural purposes were assessed using schoeller and wilcox diagram. according to the wilcox classification, t...

In view of the deficiency of the traditional methods, based on the grey theory, GM (1, 1) model is established to predict the groundwater level. The proposed model was applied to predict the groundwater level in Xiaonanhai Spring. The prediction result was compared with that of the traditional method and the reported results in the Xiaonanhai Spring. It is indicated that the performance of the ...

Computational Intelligence techniques have been proposed as an efficient tool for modeling and forecasting in recent years and in various applications. Groundwater is a highly valuable resource. Measurement and analysis of groundwater level is needed for maintaining groundwater availability. It is therefore necessary to implement mechanisms and systems that can be employed to predict the ground...

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...

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...

background: the municipal waste landfill sites have high a potential of contaminating the ‎ environment and having effects of the human health due to waste degradation, production of leachate, carbon dioxide and ‎ methane gases. the present study aims to evaluate the location of the solid waste landfill using gis and based on the oleckno index. assessment parameters included average annual rain...