Combined Multivariate Statistical Techniques and Water Quality Index (WQI) to Evaluate Spatial Variation in Water Quality.

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Title: Combined Multivariate Statistical Techniques and Water Quality Index (WQI) to Evaluate Spatial Variation in Water Quality.
Authors: Begum S; Department of Environmental Sciences, Fatima Jinnah Women University, Old Presidency, The Mall, Kachari Chowk, Rawalpindi 46000 Punjab, Pakistan., Firdous S; Department of Environmental Sciences, Fatima Jinnah Women University, Old Presidency, The Mall, Kachari Chowk, Rawalpindi 46000 Punjab, Pakistan., Naeem Z; Department of Environmental Sciences, Fatima Jinnah Women University, Old Presidency, The Mall, Kachari Chowk, Rawalpindi 46000 Punjab, Pakistan., Chaudhry GE; Institute of Marine Biotechnology, Universiti Malaysia Terengganu, Kuala Nerus, 21030, Terengganu Malaysia., Arshad S; Department of Environmental Sciences, Fatima Jinnah Women University, Old Presidency, The Mall, Kachari Chowk, Rawalpindi 46000 Punjab, Pakistan., Abid F; Department of Environmental Sciences, Fatima Jinnah Women University, Old Presidency, The Mall, Kachari Chowk, Rawalpindi 46000 Punjab, Pakistan., Zahra S; Department of Environmental Sciences, Fatima Jinnah Women University, Old Presidency, The Mall, Kachari Chowk, Rawalpindi 46000 Punjab, Pakistan., Khan S; Department of Environmental Sciences, Fatima Jinnah Women University, Old Presidency, The Mall, Kachari Chowk, Rawalpindi 46000 Punjab, Pakistan., Adnan M; Department of Botany, Kohat University of Science and Technology, Kohat-26000, Khyber Pakhtunkhwa, Pakistan., Sung YY; Institute of Marine Biotechnology, Universiti Malaysia Terengganu, Kuala Nerus, 21030, Terengganu Malaysia., Muhammad TST; Institute of Marine Biotechnology, Universiti Malaysia Terengganu, Kuala Nerus, 21030, Terengganu Malaysia.
Source: Tropical life sciences research [Trop Life Sci Res] 2023 Sep; Vol. 34 (3), pp. 129-149. Date of Electronic Publication: 2023 Sep 30.
Publication Type: Journal Article
Journal Info: Publisher: Penerbit Universiti Sains Malaysia Country of Publication: Malaysia NLM ID: 101539351 Publication Model: Print-Electronic Cited Medium: Print ISSN: 1985-3718 (Print) Linking ISSN: 19853718 NLM ISO Abbreviation: Trop Life Sci Res Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1985-3718
DOI:10.21315/tlsr2023.34.3.7