UM Research Repository
metadata only
Evaluation of toxic heavy metal concentration in aquifer system for groundwater system development using multivariate statistical techniques
Groundwater is a vital resource for human consumption. The study aimed to evaluate toxic metal concentrations in groundwater systems and determine pollutant sources using multivariate methods including cluster analysis (CA), principal factor analysis (PCA), and Pearson correlation coefficient (r). T
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Advancing the understanding of sediment contamination dynamics in the Iron Quadrangle (Brazil) : a comparative analysis of pollution indices for PTE assessment.#928322
- Interweaving Geochemical and Geospatial Data to Identify High Concentrations of Metal Contamination from Copper, Lead, and Zinc within Utoy Creek, Atlanta Ga#492270
- Environmental surveys of toxic chemicals in aquatic environments in Japan#325096
- Diversity of contaminants of emerging concern in a semi-arid groundwater system#403955
- Prediction of relevant exposure sources to aggregate chemical exposures from general and occupational environments: exploration of a decision tree approach#218041
Record · ID 1348045
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive