Multivariate statistics and entropy theory for irrigation water quality and entropy-weighted index development in a subtropical urban river, Bangladesh-Reference-Cited by-同舟云学术

Multivariate statistics and entropy theory for irrigation water quality and entropy-weighted index development in a subtropical urban river, Bangladesh

Published:2021-09-07 Issue:6 Volume:29 Page:8577-8596
ISSN:0944-1344
Container-title:Environmental Science and Pollution Research
language:en
Short-container-title:Environ Sci Pollut Res

Author:

Siddique Md Abu Bakar^ORCID,Islam Abu Reza Md Towfiqul^ORCID,Hossain Md Saddam,Khan Rahat,Akbor Md Ahedul,Hasanuzzaman Md,Sajid Md Wasiq Mamun,Mia Md Younus,Mallick Javed^ORCID,Rahman M. Safiur,Rahman Md Mostafizur,Bodrud-Doza Md

Funder

King Khalid University

Publisher

Springer Science and Business Media LLC

Subject

Health, Toxicology and Mutagenesis,Pollution,Environmental Chemistry,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s11356-021-16343-7.pdf

Reference75 articles.

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2. Ahsan MA, Satter F, Siddique MAB, Akbor MA, Ahmed S, Shajahan M, Khan R (2019) Chemical and physicochemical characterization of effluents from the tanning and textile industries in Bangladesh with multivariate statistical approach. Environmental Monitoring and Assessment 191(9):575

3. Amiri V, Rezaei M, Sohrabi N (2014) Groundwater quality assessment using entropy weighted water quality index (EWQI) in Lenjanat, Iran. Environ Earth Sci 72:3479–3490. https://doi.org/10.1007/s12665-014-3255-0