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An uncertainty-based multivariate statistical approach to predict crop water footprint under climate change: a case study of Lake Dianchi Basin, China

Crossref DOI link: https://doi.org/10.1007/s11069-020-04159-6

Published Online: 2020-07-10

Published Print: 2020-10

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

Authors

Zhang, Yue

Huang, Kai

Yu, Yajuan

Wu, Linxiu
Funding

Funding for this research was provided by:

Fundamental Research Funds for the Central Universities (2015ZCQ-HJ-01)
License Information

Text and Data Mining valid from 2020-07-10

Version of Record valid from 2020-07-10
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Article History

Received: 11 November 2019

Accepted: 3 July 2020

First Online: 10 July 2020

Compliance with ethical standards

:

: The authors declare that they have no conflict of interest.

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