The machine learning and geostatistical approach for assessment of arsenic contamination levels using physicochemical properties of water

Details

Language :

English

ISSN :

02731223 and 19969732

Volume :

88

Issue :

3

Database :

Supplemental Index

Journal :

Water Science and Technology

Publication Type :

Periodical

Accession number :

ejs63748341

Full Text :

https://doi.org/10.2166/wst.2023.231