GIS-based Groundwater Spring Potential Mapping Using Data Mining Boosted Regression Tree and Probabilistic Frequency Ratio Models in Iran

GIS-based Groundwater Spring Potential Mapping Using Data Mining Boosted Regression Tree and Probabilistic Frequency Ratio Models in Iran

This study intends to investigate the performance of boosted regression tree (BRT) and frequency ratio (FR) models in groundwater potential mapping. For this purpose, location of the springs was determined in the western parts of the Mashhad Plain using national reports and field surveys. In additio...

Full description

Bibliographic Details
Main Authors: Seyed Mohsen Mousavi, Ali Golkarian, Seyed Amir Naghibi, Bahareh Kalantar, Biswajeet Pradhan
Format: Article
Language:English
Published: AIMS Press 2017-03-01
Series:AIMS Geosciences
Subjects:
ground water potential
boosted regression trees
frequency ratio
GIS
Iran
Online Access:http://www.aimspress.com/geosciences/article/1336/fulltext.html

Similar Items

Similar Items