[1] The water table in southwestern Niger has been rising continuously for the past decades (4 m rise from 1963 to 2007), despite a 23% deficit in monsoonal rainfall from 1970 to 1998. This paradoxical phenomenon has been linked with a change in land use from natural savannah to millet crops that have expanded in area sixfold since 1950 and have caused soil crusting on slopes that has, in turn,...

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...

Abstract In this research, the impact of human factors and climate change on groundwater level fluctuations affected by uncertainty within 27-year upcoming period (2018–2045) in Razan Plain is examined. To simulate aquifer performance, GMS model calibrated verified for two 18-month periods, respectively. forecast variables changes future time-frame, six CMIP5 models with three scenarios Rcp 2.6...

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...