Water Resources Management Through Flood Spreading Project Suitability Mapping Using Frequency Ratio, k-nearest Neighbours, and Random Forest Algorithms
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Title
Water Resources Management Through Flood Spreading Project Suitability Mapping Using Frequency Ratio, k-nearest Neighbours, and Random Forest Algorithms
Authors
Keywords
Flood spreading project, Artificial recharge, Random forest, Hydrogeology, Data mining
Journal
Natural Resources Research
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2019-08-06
DOI
10.1007/s11053-019-09530-4
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- (2018) Mojtaba Dolat Kordestani et al. HYDROGEOLOGY JOURNAL
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- (2016) Omid Rahmati et al. CATENA
- Random forests and evidential belief function-based landslide susceptibility assessment in Western Mazandaran Province, Iran
- (2016) Hamid Reza Pourghasemi et al. Environmental Earth Sciences
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- GIS-based groundwater potential mapping using boosted regression tree, classification and regression tree, and random forest machine learning models in Iran
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- (2015) Faisal K. Zaidi et al. JOURNAL OF AFRICAN EARTH SCIENCES
- Applying weight of evidence method and sensitivity analysis to produce a landslide susceptibility map
- (2015) Ioanna Ilia et al. Landslides
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- (2014) Saeed Rahimi et al. Environmental Earth Sciences
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