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June 26, 2026Recent Patents on Engineering

Optimizing Water Quality Monitoring Using Principal Component Analysis: A Case Study of Hyderabad’s Water System

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Authors

RMRasmita Kumari MohantyRVRajesh VermaKKK. Harshit Kumar

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Overview

Randomized trial evaluates water quality using PCA in Hyderabad, suggesting improved monitoring efficiency.

Key Points

  • The study aims to enhance water quality assessment using PCA to simplify data analysis and identify key factors affecting water quality.
  • Water samples collected from 23 monitoring stations in Hyderabad.
  • Analysis of 16 water-quality parameters using PCA for dimensionality reduction.
  • Identification of 9 principal parameters that explain 87.78% of total variance.
  • PCA simplified water quality data, preserving essential information for assessment.
  • The PCA framework provided a more efficient evaluation of pollution patterns compared to traditional methods.

Cite This Study

Mohanty et al. (2026) studied this question.

synapsesocial.com/papers/6a3e1995030ad1a9b30923bchttps://doi.org/10.2174/0118722121444009260519104123
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Identification of Water Quality Pollution Sources in a Transitional Urban Area Using Principal Component Analysis (PCA) of Physico-Chemical Parameters2026
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  5. 5Assessment of water quality using multivariate statistical techniques: Case study of the man Sagar lake, Jaipur, Rajasthan, India2025 · 1 citations