Evidence map›Paper›PMID 42086703›Full record

ArticleScientific reports2026

Geochemical study of trace metals and health risk assessment in Indian geothermal aquifer using health indices, MCS and APCS-MLR.

Tirumalesh Keesari, Bhumika Kumari, Saha Dauji, Annadasankar Roy, Asmita Maitra, Saibal Gupta, Banajarani Panda, Diksha Pant, Diana Anoubam Sharma

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Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Tirumalesh KeesariIsotope and Radiation Application Division, Bhabha Atomic Research Centre, Mumbai, 400085, India. tirumal@barc.gov.in.
Bhumika KumariHomi Bhabha National Institute, Mumbai, 400094, India.
Saha DaujiHomi Bhabha National Institute, Mumbai, 400094, India.
Annadasankar RoyIsotope and Radiation Application Division, Bhabha Atomic Research Centre, Mumbai, 400085, India.
Asmita MaitraDepartment of Geology and Geophysics, Indian Institute of Technology Kharagpur, Kharagpur, India.
Saibal GuptaDepartment of Geology and Geophysics, Indian Institute of Technology Kharagpur, Kharagpur, India.
Banajarani PandaDepartment of Geology, Ravenshaw University, Cuttack, 753003, India.
Diksha PantIsotope and Radiation Application Division, Bhabha Atomic Research Centre, Mumbai, 400085, India.
Diana Anoubam SharmaDepartment of Environmental Science, Manipur University, Canchipur, 795003, Imphal, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fresh water aquifers adjoining the geothermal resources are often vulnerable to trace metal contamination and associated risks to human health. Realistic assessment of health hazard as well as source apportionment play a vital role in designing suitable remedial actions, which can be better achieved through application of probabilistic methods using Monte Carlo Simulations (MCS) and multivariate based Absolute Principal Component Score-Multiple Linear Regression (APCS-MLR) methods. In this study, a comprehensive analysis of groundwater quality was performed using multiple pollution indices (HPI, HEI, Cd, IWPI), MCS and APCS-MLR methods. Chemical results indicate that TDS, F

Indexed as

Environmental MonitoringGroundwaterMetalsTrace ElementsWater Pollutants, ChemicalHumansIndiaLinear ModelsMonte Carlo MethodRisk AssessmentMetalsTrace ElementsWater Pollutants, ChemicalAPCS-MLRGeochemical mobilityGeothermal areaHealth hazardHeavy metal toxicityMahanadi basin

Identifiers

PMID42086703
PMCPMC13333917

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.