Assessment of seasonal impacts on Water Quality in Yamuna river using Water Quality Index and Multivariate Statistical approaches DOI Creative Commons
Runit Isaac, Shaziya Siddiqui,

Prerna Higgins

et al.

Waste Management Bulletin, Journal Year: 2024, Volume and Issue: 2(3), P. 145 - 153

Published: July 24, 2024

This study analyzed the water quality of Yamuna river in Prayagraj across nine locations where sampling was done upstream, downstream and middle stream from May 2019 to April 2020 using fourteen parameters. Quarterly samples showed good Water Quality Index (WQI) values for summer (95.19), monsoon (77.28), winter (90.77), but a decline spring (102.11) due religious activities observed. Inductively coupled plasma mass spectroscopy suggested high concentration Ca2+, Mg2+, K, P river. Principal Component Analysis revealed 9 significant factors (eigen value >0.5) covering 25.13 – 93.89 % variance. Strong correlations included TDS-EC (0.853) Ca2+ Mg2+ (1.00) The correlation between parameters generated by principal component analysis that main affecting vary all seasons. Based on indicators, anthropogenic are accountable deteriorate water. Therefore, pollution status need be made publicly.

Language: Английский

Principal Component Analysis and the Water Quality Index—A Powerful Tool for Surface Water Quality Assessment: A Case Study on Struma River Catchment, Bulgaria DOI Open Access

Ivan Benkov,

Marian Varbanov, Tony Venelinov

et al.

Water, Journal Year: 2023, Volume and Issue: 15(10), P. 1961 - 1961

Published: May 22, 2023

The water quality assessment of the surface bodies (SWBs) is one major tasks environmental authorities dealing with management. present study proposes a scheme for investigation waters’ physicochemical status changes and identification significant anthropogenic pressures. It designed to extract valuable knowledge from Water Frame Directive (WFD) mandatory monitoring datasets. based on Canadian Council Ministers Environment index (CCME-WQI), trend analysis estimated WQI values, Principal Component Analysis (PCA) using calculated excursions during determination values. combination abovementioned techniques preserves their benefits additionally provides important information management by revealing latent factors controlling quality, taking into account type SWB. results enable impact SWBs corresponding pressure, prioritization restoration measures, optimization conducted programs reflect proposed simple reliable flexible introducing additional indicators (hydrological, biological, specific pollutants, etc.), which could lead more comprehensive assessment.

Language: Английский

Citations

17

Assessment of water quality based on statistical analysis of physical-chemical, biomonitoring and land use data: Manso River supply reservoir DOI
Gabriela Rodrigues Barroso, Carolina Cristiane Pinto, Lenora Nunes Ludolf Gomes

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 912, P. 169554 - 169554

Published: Dec. 23, 2023

Language: Английский

Citations

17

Groundwater hydrogeochemical processes, water quality index, and probabilistic health risk assessment in an arid and semi-arid environment (Hamedan, Iran) DOI
Mohsen Jalali, Mahdi Jalali, Liam Morrison

et al.

Groundwater for Sustainable Development, Journal Year: 2024, Volume and Issue: 26, P. 101255 - 101255

Published: June 27, 2024

Language: Английский

Citations

7

Assessment of water quality for mountainous high-elevated spring waters using self-organized maps DOI
Mohsen Jalali,

Melika Shademani,

Mahdis Paripour

et al.

Groundwater for Sustainable Development, Journal Year: 2024, Volume and Issue: 24, P. 101082 - 101082

Published: Jan. 4, 2024

Language: Английский

Citations

6

Assessment of seasonal impacts on Water Quality in Yamuna river using Water Quality Index and Multivariate Statistical approaches DOI Creative Commons
Runit Isaac, Shaziya Siddiqui,

Prerna Higgins

et al.

Waste Management Bulletin, Journal Year: 2024, Volume and Issue: 2(3), P. 145 - 153

Published: July 24, 2024

This study analyzed the water quality of Yamuna river in Prayagraj across nine locations where sampling was done upstream, downstream and middle stream from May 2019 to April 2020 using fourteen parameters. Quarterly samples showed good Water Quality Index (WQI) values for summer (95.19), monsoon (77.28), winter (90.77), but a decline spring (102.11) due religious activities observed. Inductively coupled plasma mass spectroscopy suggested high concentration Ca2+, Mg2+, K, P river. Principal Component Analysis revealed 9 significant factors (eigen value >0.5) covering 25.13 – 93.89 % variance. Strong correlations included TDS-EC (0.853) Ca2+ Mg2+ (1.00) The correlation between parameters generated by principal component analysis that main affecting vary all seasons. Based on indicators, anthropogenic are accountable deteriorate water. Therefore, pollution status need be made publicly.

Language: Английский

Citations

6