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

Author:

Zhang Zhirui,Lou Sha,Liu Shuguang,Zhou Xiaosheng,Zhou Feng,Yang Zhongyuan,Chen Shizhe,Zou Yuwen,Radnaeva Larisa Dorzhievna,Nikitina Elena,Fedorova Irina Viktorovna

Funder

Top Discipline Plan of Shanghai Universities-Class I

the National Natural Science Foundation of China

Shanghai Science and Technology Innovation Projects

the Fundamental Research Funds for the Central Universities

Interdisciplinary Project in Ocean Research of Tongji University

Publisher

Springer Science and Business Media LLC

Reference87 articles.

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2. Alizamir M, Sobhanardakani S (2016) Forecasting of heavy metals concentration in groundwater resources of Asadabad plain using artificial neural network approach. J Adv Environ Health Res 4(2):68–77

3. Anbuselvan N, Senthil ND, Sridharan M (2018) Heavy metal assessment in surface sediments off Coromandel Coast of India: implication on marine pollution. Mar Pollut Bull 131:712–726

4. Balali-Mood M, Naseri K, Tahergorabi Z et al (2021) Toxic mechanisms of five heavy metals: mercury, lead, chromium, cadmium, and arsenic. Front Pharmacol 12. https://doi.org/10.3389/fphar.2021.643972

5. Bayata A (2020) Assessment, accumulation, toxicity and importance of heavy metals in agricultural soil and living system — review. Am J Environ Prot 9(6):121–124

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