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Development of new computational machine learning models for longitudinal dispersion coefficient determination: case study of natural streams, United States

Crossref DOI link: https://doi.org/10.1007/s11356-022-18554-y

Published Online: 2022-01-21

Published Print: 2022-05

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

Authors

Tao, Hai

Salih, Sinan

Oudah, Atheer Y.

Abba, S. I.

Ameen, Ameen Mohammed Salih

Awadh, Salih Muhammad

Alawi, Omer A.

Mostafa, Reham R.

Surendran, Udayar Pillai

Yaseen, Zaher Mundher https://orcid.org/0000-0003-3647-7137
License Information

Text and Data Mining valid from 2022-01-21

Version of Record valid from 2022-01-21
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Article History

Received: 25 July 2021

Accepted: 4 January 2022

First Online: 21 January 2022

Declarations

:

: The manuscript is conducted within the ethical manner advised by the Environmental Science and Pollution Research.

: The research is scientifically consented to be published.

: The authors declare no competing interests.

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