Strength and leaching behavior of tailing-based paste backfill at high water content amended with lime activated ground granulated blast furnace slag and flocculant

Fatah, Traore Abdoul; Zhang, Rongjun; Miao, Yu; Mastoi, Aamir Khan; Huang, Xiao-Song; Wurie, Nadia N.

doi:10.1007/s11356-024-31866-5

Environ Sci Pollut Res

2024

DOI: 10.1007/s11356-024-31866-5

|View full text |Cite

Strength and leaching behavior of tailing-based paste backfill at high water content amended with lime activated ground granulated blast furnace slag and flocculant

Traore Abdoul Fatah,

Rongjun Zhang,

Yu Miao

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

2025

Publication Types

Select...

Article2

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

References 49 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Optimizing Stabilization of Contaminated Mining Sludge: A Machine Learning Approach to Predict Strength and Heavy Metal Leaching

Fatah,

Mastoi,

Bhatti

et al. 2024

Arab J Sci Eng

View full text Add to dashboard Cite

Optimizing Stabilization of Contaminated Mining Sludge: A Machine Learning Approach to Predict Strength and Heavy Metal Leaching

Fatah,

Mastoi,

Bhatti

et al. 2024

Arab J Sci Eng

View full text Add to dashboard Cite

Enhancement of phosphogypsum’s water stability in early hydration phase as embankment fill with lime-ground granulated blast-furnace slag

Zheng,

Shu,

et al. 2025

Construction and Building Materials

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Strength and leaching behavior of tailing-based paste backfill at high water content amended with lime activated ground granulated blast furnace slag and flocculant

Cited by 2 publications

References 49 publications

Optimizing Stabilization of Contaminated Mining Sludge: A Machine Learning Approach to Predict Strength and Heavy Metal Leaching

Optimizing Stabilization of Contaminated Mining Sludge: A Machine Learning Approach to Predict Strength and Heavy Metal Leaching

Enhancement of phosphogypsum’s water stability in early hydration phase as embankment fill with lime-ground granulated blast-furnace slag

Contact Info

Product

Resources

About