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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Multidimensional analysis of developed water sources in the health zone of Lukula in the Democratic republic of the Congo |
| Authors Name: | André Mampuya Nzita , Pascal Bakwita Nkoso , André Kajinga Ngoyi , Dan Kandala Muamba , Roger Kizungu Vumilia,Marcel Mbaya Kasongo |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_219176
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| Published Paper Id: | IJNRD2404668 |
| Published In: | Volume 9 Issue 4, April-2024 |
| DOI: | http://doi.one/10.1729/Journal.39075 |
| Abstract: | In this investigation, principal component analysis (PCA), hierarchical ascending classification (HAC), and multiple correspondence factor analysis (MCFA) were used to assess the water quality and the impact of human activities on it. PCA transformed the physicochemical parameters into new uncorrelated variables, and the PC1 and PC2 axes revealed that 64,05% of the total variance was influenced by parameters such as chlorides, sodium, potassium, phosphates, sulfides, pH, turbidity, and nitrates. After projecting the samples onto the factorial plane defined by PC1 and PC2, water sources were characterized based on their properties, which allowed for the identification of saline and hard waters, enabling decisions regarding their use and treatment methods. HAC grouped the water sources according to their similarity in terms of salinity and hardness, providing an understanding of the similarities and differences between these waters. MCFA identified significant correlations between certain parameters, measuring the linear relationships between multiple quantitative variables. We used R software to perform this multidimensional analysis of water sources. The statistical methods were performed to assess water quality, gain a better understanding of its characteristics, and make informed decisions regarding its management and treatment. |
| Keywords: | PCA, HAC, MCFA, water sources, quantitative variables, samples, water quality, R software |
| Cite Article: | "Multidimensional analysis of developed water sources in the health zone of Lukula in the Democratic republic of the Congo", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.g579-g585, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404668.pdf |
| Downloads: | 00083 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2404668 Registration ID: 219176 Published In: Volume 9 Issue 4, April-2024 DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.39075 Page No: g579-g585 Country: Kinshasa, President Joseph Kasa-Vubu University, Department , Congo, The Democratic Republic of The Research Area: Water Resourses & Management Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2404668 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2404668 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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