Long-Term Groundwater Level Prediction Model Based on Hybrid KNN-RF Technique

Long-Term Groundwater Level Prediction Model Based on Hybrid KNN-RF Technique

Reliable seasonal prediction of groundwater levels is not always possible when the quality and the amount of available on-site groundwater data are limited. In the present work, a hybrid K-Nearest Neighbor-Random Forest (KNN-RF) is used for the prediction of variations in groundwater levels (L) of a...

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Bibliographic Details
Main Authors: Omar Haji Kombo, Santhi Kumaran, Yahya H. Sheikh, Alastair Bovim, Kayalvizhi Jayavel
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Hydrology
Subjects:
seasonal forecasting
ensemble model
groundwater level
machine learning
artificial neural network
predictive modeling
Online Access:https://www.mdpi.com/2306-5338/7/3/59

Internet

https://www.mdpi.com/2306-5338/7/3/59

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