Crossmark

Potential risk assessment and occurrence characteristic of heavy metals based on artificial neural network model along the Yangtze River Estuary, China

Crossref DOI link: https://doi.org/10.1007/s11356-024-33400-z

Published Online: 2024-04-22

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

Authors

Zhang, Zhirui

Lou, Sha

Liu, Shuguang

Zhou, Xiaosheng

Zhou, Feng

Yang, Zhongyuan

Chen, Shizhe

Zou, Yuwen

Radnaeva, Larisa Dorzhievna

Nikitina, Elena

Fedorova, Irina Viktorovna
Funding

Funding for this research was provided by:

Top Discipline Plan of Shanghai Universities-Class I (2022-3-YB-03)

the National Natural Science Foundation of China (42072281, 41602244)

Shanghai Science and Technology Innovation Projects (20230742500, 22ZR1464200, 22230712900)

the Fundamental Research Funds for the Central Universities (22120210576)

Interdisciplinary Project in Ocean Research of Tongji University (2022-2-YB-01)
License Information

Text and Data Mining valid from 2024-04-22

Version of Record valid from 2024-04-22
More Information

Article History

Received: 17 December 2023

Accepted: 16 April 2024

First Online: 22 April 2024

Declarations

:

: This study does not involve any ethical issues.

: All authors have read and approved this version of the article, and due care has been taken to ensure the integrity of the work.

: All authors have agreed to publish.

: The authors declare no competing interests.

Document is current

Any future updates will be listed below