Modelling of the impact of water quality on the infiltration rate of the soil

Modelling of the impact of water quality on the infiltration rate of the soil

Abstract The concept behind of this paper is to check the potential of the three regression-based techniques, i.e. M5P tree, support vector machine (SVM) and Gaussian process (GP), to estimate the infiltration rate of the soil and to compare with two empirical models, i.e. Kostiakov model and multi-...

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Bibliographic Details
Main Authors: Balraj Singh, Parveen Sihag, Surinder Deswal
Format: Article
Language:English
Published: SpringerOpen 2019-01-01
Series:Applied Water Science
Subjects:
Double-ring infiltrometer
Gaussian process
Support vector regression
M5P tree model
Online Access:http://link.springer.com/article/10.1007/s13201-019-0892-1

Internet

http://link.springer.com/article/10.1007/s13201-019-0892-1

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