PREDICTION OF GROUNDWATER ARSENIC CONTAMINATION USING GEOGRAPHIC INFORMATION SYSTEM AND ARTIFICIAL NEURAL NETWORK

Prediction of Groundwater Arsenic Contamination using Geographic Information System and Artificial Neural Network

Ground water arsenic contamination is a well known health and environmental problem in Bangladesh.Sources of this heavy metal are known to be geogenic, however, the processes of its release into groundwater are poorly understood phenomena.In quest of mitigation of the problem it is necessary to predict probable contamination before it causes any da

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Uncertainties in Evapotranspiration Estimates over West Africa

An evapotranspiration (ET) ensemble composed of 36 land surface model (LSM) experiments and four diagnostic datasets (GLEAM, ALEXI, MOD16, and Shower Benches FLUXNET) is used to investigate uncertainties in ET estimate over five climate regions in West Africa.Diagnostic ET datasets show lower uncertainty estimates and smaller seasonal variations th

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Linguistic Integration of Adult Migrants in Greece and Italy: Language Requirements and Learning Opportunities in L2 Greek and L2 Italian

Migration has almost always been accompanied by language-related processes and concerns.Integration dimensions interact with numerous language-related issues, such as language requirements and learning opportunities, and the purpose of our paper is situated in the broader field of linguistic integration of adult refugees and migrants in Greece and

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