Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
September 2, 2026Environmental Forensics

Identification of Water Quality Pollution Sources in a Transitional Urban Area Using Principal Component Analysis (PCA) of Physico-Chemical Parameters

View Full Paper
Ask AI
Bookmark
Share

Authors

SKShravan KumarRRRapol Laxmana ReddyBLBukke Lavanya

Discussion

Loading...

Member takes

Overview

Environmental assessment demonstrates untreated domestic sewage as the primary pollution driver in transitional surface waters, highlighting inadequate sanitation over built-up density.

Key Points

  • Identify the primary pollution sources and drivers influencing surface water quality along an urbanization gradient in Hyderabad, India.
  • Collected pre-monsoon grab samples from five gradient sites (rural reference, urban core, residential, peri-urban, and mixed urban–agricultural).
  • Measured 15 physico-chemical parameters and supplementary BOD5 using APHA (2017) and IS 10500:2012 standard analytical protocols.
  • Applied principal component analysis (PCA) on z-standardized correlation matrices paired with 100–1000 m land use/land cover buffer evaluations.
  • Two principal components explained 79.96% of total variance, with PC1 accounting for 44.86% (ammonium +0.99, alkalinity +0.98, acidity +0.84, iron +0.79, BOD5 +0.73, and final DO −0.91).
  • PC2 accounted for 35.10% of total variance, driven by TDS (+0.95), nitrate (−0.91), electrical conductivity (−0.82), pH (−0.70), and nitrite (−0.70), capturing ionic variability from land cover.
  • Organic and ammoniacal pollution aligned closely with sewerage infrastructure deficits rather than built-up surface area, establishing untreated domestic sewage as the primary driver of contamination.

Cite This Study

Kumar et al. (2026) studied this question.

synapsesocial.com/papers/6a97e2d9c562ede874ec7263https://doi.org/10.1080/15275922.2026.2722931
View Full Paper
Ask AI
Bookmark
Share

Also Consider

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

  1. 1Optimizing Water Quality Monitoring Using Principal Component Analysis: A Case Study of Hyderabad’s Water System2026
  2. 2An integrated indexical and multivariate assessment of surface water quality within the Nag river, Maharashtra, India2026 · 4 citations
  3. 3Assessment of water quality using multivariate statistical techniques: Case study of the man Sagar lake, Jaipur, Rajasthan, India2025 · 1 citations
  4. 4Rainwater Composition of a Sub-tropical Urban Indian Town Under the Influence of Natural and Anthropogenic Factors2025
  5. 5Hydrogeochemical and groundwater-level dynamics of the Wardha sub-basin (Godavari, India) using PCA and HCA2025