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Characterizing spatial dependence of boron, arsenic, and other trace elements for Permian groundwater in Northern Anhui plain coal mining area, China, using spatial autocorrelation index and geostatistics

Crossref DOI link: https://doi.org/10.1007/s11356-022-25019-9

Published Online: 2023-01-04

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

Authors

Ju, Qiding https://orcid.org/0000-0003-3633-9359
Hu, Youbiao

Xie, Zhigang

Liu, Qimeng

Zhang, Zhiguo

Liu, Yu

Peng, Taosheng

Hu, Taifeng
Funding

Funding for this research was provided by:

Natural Science Foundation of Anhui Province (2008085QD191)

Independent Research fund of the State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines (SKLMRDPC19ZZ06)
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Text and Data Mining valid from 2023-01-04

Version of Record valid from 2023-01-04
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Article History

Received: 21 February 2022

Accepted: 23 December 2022

First Online: 4 January 2023

Declarations

:

: Not applicable. This manuscript does not involve researching about humans or animals. All of the authors consented to participate in the drafting of this manuscript.

: Not applicable. All of the authors consented to publish this manuscript.

: The authors declare no competing interests.

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