Crossmark

Assessment of drought conditions and prediction by machine learning algorithms using Standardized Precipitation Index and Standardized Water-Level Index (case study: Yazd province, Iran)

Crossref DOI link: https://doi.org/10.1007/s11356-023-29522-5

Published Online: 2023-09-01

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

Authors

Shakeri, Reza https://orcid.org/0000-0003-4448-6578
Amini, Hossein https://orcid.org/0000-0001-8840-391X
Fakheri, Farshid https://orcid.org/0000-0003-3057-5326
Ketabchi, Hamed https://orcid.org/0000-0003-4643-1415
License Information

Text and Data Mining valid from 2023-09-01

Version of Record valid from 2023-09-01
More Information

Article History

Received: 9 June 2023

Accepted: 22 August 2023

First Online: 1 September 2023

Declarations

:

: Not applicable.

: Not applicable.

: Not applicable.

: The authors declare no competing interests.

Document is current

Any future updates will be listed below