Multivariate of Analysis Water Quality Parameters: Insights from Correlation, Clustering, and Factor Analysis
摘要
Assessing water quality is essential for comprehending the hydrochemical properties of water sources. This investigation uses Principal Component Analysis (PCA) and Factor Analysis (FA) to evaluate the interactions between major ions (Ca2+, Mg2+, Na+, K+), Total Dissolved Solids (TDS), and Total Hardness (TH) in a collection of 34 samples. The PCA outcomes show that Factor 1 accounts for 40.5% of the variance and is primarily influenced by Ca2+, Na+, K+, and TH, implying that there is a predominant geogenic or human-caused origin; Factor 2, which is responsible for 23.5% of the variability, is strongly correlated with TDS, indicating another source controlling process, perhaps from dissolved mineral content or contamination places; and factor loadings show strong positive correlations between Na+, K+, and Ca2+, indicating their common origin, most likely from rock-weathering or human activities. On the other hand, Mg2+ exhibits moderate influence across both factors, indicating distinct geochemical behavior. These relationships are visually reinforced by the biplot and loading plot, where Ca2+, Na+, and K+ align closely along the first factor while TDS dominates the second. The time series analysis of Ca2+ and Mg2+ depicts varying patterns, indicating potential temporal or spatial deviations in water chemistry, while spikes in Ca2+ level indicate regular impacts, like pollution incidents or changes in water locations. These results highlight the importance of ongoing water quality evaluation, especially in environmentally vulnerable areas. The findings of the investigation offer valuable information for managing water resources, highlighting the part that Ca2+ and Na+ play in water hardness and the unique impact that TDS has on total water purity. Gaining an awareness of these elements will assist with create environmentally friendly resource usage and water management strategies that work.