Deciphering Effects of Coal Fly Ash on Hydrochemistry and Heavy Metal(loid)s Occurrence in Surface and Groundwater: Implications for Environmental Impacts and Management

Aslam, Hiba; Hashmi, Amna; Khan, Imran; Ahmad, Shamshaad; Umar, Rashid

doi:10.1007/s11270-024-07448-z

Water Air Soil Pollut

2024

DOI: 10.1007/s11270-024-07448-z

|View full text |Cite

Deciphering Effects of Coal Fly Ash on Hydrochemistry and Heavy Metal(loid)s Occurrence in Surface and Groundwater: Implications for Environmental Impacts and Management

Hiba Aslam,

Amna Hashmi,

Imran Khan

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...

Article3

Relationship

Self Cite0

Independent3

Authors

Journals

Cited by 3 publications

References 80 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Machine Learning-driven Optimization of Water Quality Index: A Synergistic ENTROPY-CRITIC Approach Using Spatio-Temporal Data

Khan,

Umar

2024

Earth Syst Environ

View full text Add to dashboard Cite

Machine Learning-driven Optimization of Water Quality Index: A Synergistic ENTROPY-CRITIC Approach Using Spatio-Temporal Data

Khan,

Umar

2024

Earth Syst Environ

View full text Add to dashboard Cite

A hybrid machine learning approach for imbalanced irrigation water quality classification

Mustapha,

Zineddine,

Kaufman

et al. 2025

Desalination and Water Treatment

View full text Add to dashboard Cite

Surface water quality evaluation, apportionment of pollution sources and aptness testing for drinking using water quality indices and multivariate modelling in Baitarani River basin, Odisha

Das

2025

HydroResearch

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.

Deciphering Effects of Coal Fly Ash on Hydrochemistry and Heavy Metal(loid)s Occurrence in Surface and Groundwater: Implications for Environmental Impacts and Management

Cited by 3 publications

References 80 publications

Machine Learning-driven Optimization of Water Quality Index: A Synergistic ENTROPY-CRITIC Approach Using Spatio-Temporal Data

Machine Learning-driven Optimization of Water Quality Index: A Synergistic ENTROPY-CRITIC Approach Using Spatio-Temporal Data

A hybrid machine learning approach for imbalanced irrigation water quality classification

Surface water quality evaluation, apportionment of pollution sources and aptness testing for drinking using water quality indices and multivariate modelling in Baitarani River basin, Odisha

Contact Info

Product

Resources

About