4 Art�culos

Optimized Conditioning Factors Using Machine Learning Techniques for Groundwater Potential Mapping

Acceso

en l�nea

Bahareh Kalantar, Husam A. H. Al-Najjar, Biswajeet Pradhan, Vahideh Saeidi, Alfian Abdul Halin, Naonori Ueda and Seyed Amir Naghibi

Assessment of the most appropriate groundwater conditioning factors (GCFs) is essential when performing analyses for groundwater potential mapping. For this reason, in this work, we look at three statistical factor analysis methods?Variance Inflation Fac... ver m�s

Revista: Water Formato: Electr�nico

Tabla de contenido: Vol: PP Num: Vol. 11, Iss. 9 Par: PP A�o: PP

Groundwater Augmentation through the Site Selection of Floodwater Spreading Using a Data Mining Approach (Case study: Mashhad Plain, Iran)

Acceso

en l�nea

Seyed Amir Naghibi, Mehdi Vafakhah, Hossein Hashemi, Biswajeet Pradhan and Seyed Jalil Alavi

It is a well-known fact that sustainable development goals are difficult to achieve without a proper water resources management strategy. This study tries to implement some state-of-the-art statistical and data mining models i.e., weights-of-evidence (Wo... ver m�s

Revista: Water Formato: Electr�nico

Tabla de contenido: Vol: 10 Num: 0 Par: 10 A�o: 2018

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