STATISTICAL EVALUATION OF PHYSICOCHEMICAL WATER QUALITY PARAMETERS FOR ENVIRONMENTAL MONITORING

Authors

  • Riya Verma
  • Kavita Tiwari

Keywords:

Water quality assessment, physicochemical parameters, environmental monitoring, waterpotability, correlation analysis, drinking water quality

Abstract

Water quality assessment is essential for ensuring safe water resources and maintainingenvironmental sustainability. Physicochemical parameters are widely used to evaluate the chemicalcharacteristics of water and to detect possible contamination. The present study examines thestatistical relationships among major physicochemical water quality parameters and their associationwith water potability. The analysis was conducted using a secondary dataset consisting of 10,000water samples that included measurements of pH, hardness, dissolved solids, chloramines, sulfate,conductivity, organic carbon, trihalomethanes, and turbidity along with a potability indicator.Descriptive statistics were used to summarize the distribution of these parameters, while correlationanalysis was performed to explore relationships among them. In addition, a comparative analysis wasconducted to identify differences in parameter values between potable and non-potable watersamples. The results indicated noticeable variability across several parameters, particularly dissolvedsolids and sulfate concentrations. Correlation analysis revealed moderate associations amongmineral related parameters, suggesting that multiple environmental factors influence water chemistry.The comparativeanalysis further showed that certain parameters, including trihalomethanes, sulfate,and organic carbon, differed significantly between potable and non-potable samples. Overall, thefindings demonstrate that statistical evaluation of physicochemical indicators can provide valuableinsights into water quality conditions. Such analyses can support environmental monitoring effortsand contribute to more effective water resource management and public health protection.

References

Khan, M., Ellahi, A., Niaz, R., Ghoneim, M. E., Tag-eldin, E., & Rashid, A. (2022).Water quality

assessment of alpine glacial blue water lakes and glacial-fed rivers.Geomatics, Natural HazardsandRisk,13(1), 2597-2617.

Debassi, B., Allaoua, N., Ghanem, N., Hafid, H., Benacherine, M., & Chenchouni, H. (2025).

Assessment of water quality of groundwater, surface water, and wastewater usingphysicochemical parameters and microbiological indicators.Science Progress,108(2),00368504251348544.

Mahe, A. U., Salihu, N., & Sani, M. M. (2024).Perspective Chapter: Physicochemical Parameters

and Water Quality.Sustaining Water Quality-From Local Challenges to Global Solutions.

Punde, S. B., & Kulkarni, M. N. (2025).A critical review on physicochemical parameters in water

quality management: Key indicators for sustainability and pollution mitigation.InternationalJournal of Creative Research Thoughts,13(8).

Sharma, B., Kumar,M., Denis, D. M., & Singh, S. K. (2019).Appraisal of river water quality

using open-access earth observation data set: a study of river Ganga at Allahabad

(India).Sustainable Water Resources Management,5(2), 755-765.

Maiolo, M., & Pantusa, D. (2021). Multivariate analysis of water quality data for drinking water

supply systems.Water,13(13), 1766.

Aghlmand, R., Rasi Nezami, S., & Abbasi, A. (2021). Evaluation of chemical parameters of urban

drinking water quality along with health risk assessment: a case study of Ardabil province,Iran.International Journal of Environmental Research and Public Health,18(10), 5179.

Thilakarathna, P. A., Fareed, F., Makehelwala, M., Weragoda, S. K., Fernando, R., Premachandra,

T., ... & Karunaratne, S. P. (2024).Land-use pattern-based spatial variation of physicochemicalparameters and efficacy of safe drinking water supply along the Mahaweli River, SriLanka.Water,16(18), 2644.

Alencar, P., Cowan, D., & Mulholland, D. (2018, December). The ienvironment platform:

Developing an open science software platform for integrated environmental monitoring andmodeling of surface water. In2018 IEEE International Conference on Big Data (Big Data)(pp.3201-3210). IEEE.

Amudan, T. K. S. R. (2025).Water quality potability:Is it safe to drink? A dataset for predicting

water potability[Dataset]. Kaggle.https://www.kaggle.com/datasets/tamilamudan/water-quality-potability

Braga, F. H., Dutra, M. L., Lima, N. S., Silva, G. M., Miranda, R. C., Firmo, W. C., Moura, A.

R., Monteiro, A. S., Silva, L. C., Silva, D. F., & Silva, M. R. (2021).Study of the Influence ofPhysicochemical Parameters on the Water Quality Index (WQI) inthe Maranhão Amazon, Brazil.

Water,14(10), 1546. https://doi.org/10.3390/w14101546

Sharma, R., Kumar, R., Satapathy, S. C., Al-Ansari, N., Singh, K. K., Mahapatra, R. P., ...&

Pham, B. T. (2020). Analysis of water pollution using different physicochemical parameters: Astudy of Yamuna River.Frontiers in Environmental Science,8, 581591.

Singh, K. R., Dutta, R., Kalamdhad, A. S., & Kumar, B. (2022).Study of physicochemical

parameters and wetland water quality assessment by using Shannon’s entropy.Applied WaterScience,12(11), 247.

Gomes, R. P., de Paula Silva, J. A., Carvalho Junior, M. C., Alburquerque, W. C. A., Scalize, P.

S., Galvão Filho, A. R., ...& Carneiro, L. C. (2019). Evaluation of the raw water quality:physicochemical and toxicologicalapproaches.Environmental geochemistry and health,41(6),2425-2442.

Kothari, V., Vij, S., Sharma, S., & Gupta, N. (2021).Correlation of various water quality

parameters and water quality index of districts of Uttarakhand. Environmental and SustainabilityIndicators,9, 100093. https://doi.org/10.1016/j.indic.2020.100093

Syeed, M. M. M., Hossain, M. S., Karim, M. R., Uddin, M. F., Hasan, M., & Khan, R. H. (2023).

Surface water quality profiling using the water quality index, pollution index and statisticalmethods: A critical review.Environmental and Sustainability Indicators,18, 100247.https://doi.org/10.1016/j.indic.2023.100247.

Downloads

Published

2026-03-19