Predicting Cyanide Degradability and Destruction Using Artificial Neural Networks: A Case Study in West Azerbaijan, Iran”-Reference-Cited by-同舟云学术

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Predicting Cyanide Degradability and Destruction Using Artificial Neural Networks: A Case Study in West Azerbaijan, Iran”

Published:2024-01-09 Issue: Volume: Page:1-16
ISSN:1532-0383
Container-title:Soil and Sediment Contamination: An International Journal
language:en
Short-container-title:Soil and Sediment Contamination: An International Journal

Author:

Rostami Tarzam Sakineh¹,Fahimi Farid Gholamreza¹,Amirnejad Reza¹,Tavana Ahmad¹,Rahnavard Aptin¹

Affiliation:

1. Department of Environmental pollution, Tonekabon Branch, Islamic Azad University, Tonkabon, Iran

Funder

HHJJKKLLLLLLLL

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/15320383.2023.2300722

Reference27 articles.

1. The environmental impact of gold mines: pollution by heavy metals

2. Biological treatment for the degradation of cyanide: A review

3. Determination and detoxification of cyanide in gold mine tailings: A review

4. Environmentally friendly process instead of cyanide leaching on recycling of gold and silver from jewellery scraps and wastes

5. Isolation and removal of cyanide from tailing dams in gold processing plant using natural bitumen

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