Groundwater quality assessment using SPSS based on multivariate statistics and water quality index of Gaya, Bihar (India)

Alam, Aftab; Singh, Anshuman

doi:10.1007/s10661-023-11294-7

Cited by 17 publications

(3 citation statements)

References 48 publications

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“…The results suggested that the data structure was reasonable, as evidenced by a KMO test of 0.613 and Bartlett's test yielding a result of P<0.001. These findings indicated that the obtained results were suitable for conducting PCA (Alam & Singh 2023). The first three principal components were extracted in this study.…”

Section: Figmentioning

confidence: 63%

Discriminating craft and industrial beers by untargeted GC-MS metabolomics combined with multivariate statistical analysis

Ji,

Ding

2024

Preprint

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Developing robust analytical methodologies for the discrimination of craft and industrial beers presents a significant yet formidable challenge. The identification and differentiation of products necessitate the utilization of reliable analytical methods, which are indispensable for ensuring market stability and safeguarding consumer interests. In this study, representative beer samples with a significant market share were selected for headspace solid-phase microextraction coupled with gas chromatography-mass spectrometry (HS-SPME-GC-MS) analysis to compare the volatile substance characteristics of craft and industrial beers. The findings suggested that alcohols and esters constituted the primary volatile compounds. Craft beer exhibited a higher abundance of both types and concentrations of volatile compounds compared to industrial beer. Subsequently, unsupervised and supervised chemometric techniques were employed for further analysis of the data matrix. The orthogonal partial least squares discriminant analysis (OPLS-DA) method was established to effectively discriminate between industrial and craft beers, enabling the identification of characteristic volatile markers. The untargeted GC-MS metabolomics coupled with multivariate statistical analysis holds promise for the authentication of craft and industrial beers.

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Section: Figmentioning

confidence: 63%

Discriminating craft and industrial beers by untargeted GC-MS metabolomics combined with multivariate statistical analysis

Ji,

Ding

2024

Preprint

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“…For the untreated samples, pairwise comparisons were performed to investigate the relationships between different components. In line with some previous studies, PCA was utilized to assess the groundwater's quality [45]. Fan et al [46] conducted a study across three regions in India and demonstrated the variables that contributed the maximum variance in the water quality.…”

Section: Water Quality Assessmentmentioning

confidence: 88%

Multivariate Analysis of Harvested Rainwater Quality Utilizing Sustainable Solar-Energy-Driven Water Treatment

Khalid,

Alodah

2023

Sustainability

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The rising importance of utilizing rainwater as a sustainable and viable alternative water source is evident amid increasing urbanization and the mounting global apprehensions about water scarcity. This research aims to develop a comprehensive and sustainable approach to rainwater treatment by effectively utilizing the recently constructed solar panels at the University of Engineering and Technology (UET) in Pakistan. The study’s distinctiveness lies in its comprehensive examination of treatment plant efficiency under various weather conditions in a water-scarce region. The main objective of this work is to maximize the harvested rainwater in order to provide safe drinking water while lessening the carbon footprint of treatment operations. The proposed University of Engineering and Technology water purification process (UETWPP) method involves a sequence of four essential rainwater filtration stages, namely aeration, absorption, sediment filtration, and finally, UV disinfection, all powered by solar energy. Water samples were collected monthly for a year to assess the quality of untreated and treated rainwater, including physical, chemical, and biological parameters. Multivariate analysis techniques were used to assess these parameters, including the Friedman test and principal component analyses. By reducing the initial set of twenty components down to the four most critical ones identified in the untreated water samples, the interrelationships among these components were investigated. The results indicate that the quality of treated water using the UETWPP process was found to be suitable for human consumption, aligning with the local standards as well as those established by the World Health Organization (WHO), highlighting the effectiveness of the process in transforming rainwater into potable water. Ultimately, this pilot project showcases the viability and economic efficiency of the proposed system, rendering it easily implementable in other regions.

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“…Water, a crucial natural resource that sustains life, has historically been the cornerstone of major civilizations worldwide [2]. However, due to the increasing global population, unregulated urbanization, and rapid industrialization along riverbanks, both the quality and quantity of water resources have been in decline.…”

Section: Introductionmentioning

confidence: 99%

Water Quality Status of Different Ghats of River Ganga in Patna Urban Area

Alam,

Barkatullah,

Kumar

2023

Asec 2023

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Groundwater quality assessment using SPSS based on multivariate statistics and water quality index of Gaya, Bihar (India)

Cited by 17 publications

References 48 publications

Discriminating craft and industrial beers by untargeted GC-MS metabolomics combined with multivariate statistical analysis

Discriminating craft and industrial beers by untargeted GC-MS metabolomics combined with multivariate statistical analysis

Multivariate Analysis of Harvested Rainwater Quality Utilizing Sustainable Solar-Energy-Driven Water Treatment

Water Quality Status of Different Ghats of River Ganga in Patna Urban Area

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