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

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

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 (WoE), boosted regression trees (BRT), and classi...

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Bibliographic Details
Main Authors: Seyed Amir Naghibi, Mehdi Vafakhah, Hossein Hashemi, Biswajeet Pradhan, Seyed Jalil Alavi
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Water
Subjects:
artificial recharge
data mining
floodwater spreading
GIS
groundwater
Online Access:http://www.mdpi.com/2073-4441/10/10/1405

Internet

http://www.mdpi.com/2073-4441/10/10/1405

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