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A data-driven method for predicting debris-flow runout zones by integrating multivariate adaptive regression splines and Akaike information criterion

Published Online: 2022-05-04

Published Print: 2022-06

Authors

Tian, Mi

Li, Lihua

Xiong, Zimin
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (52009037)

Natural Science Foundation of Hubei Province (2020CFB291)

Open Research Fund of Rock Mechanics in Hydraulic Structural Engineering of Ministry of Education, Wuhan University (RMHSE1905)
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Text and Data Mining valid from 2022-05-04

Version of Record valid from 2022-05-04
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Article History

Received: 17 August 2021

Accepted: 10 April 2022

First Online: 4 May 2022

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