Crossmark

Susceptibility zoning of karst geological hazards using machine learning and cloud model

Crossref DOI link: https://doi.org/10.1007/s10586-017-1590-0

Published Online: 2017-12-27

Published Print: 2019-07

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Xingli, Jia

Qingmiao, Dai

Hongzhi, Yang
Funding

Funding for this research was provided by:

Natural Science Foundation of Shaanxi Province (No.2017JQ5122)

National Key Research and Development Program of China (No.2016YFC0802208)

Fundamental Research Funds for the Central Universities (No. 310821172201)

Fundamental Research Funds for the Central Universities (No. 310821172202)
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Article History

Received: 3 December 2017

Revised: 17 December 2017

Accepted: 19 December 2017

First Online: 27 December 2017