Evidence map›Paper›PMID 39902110›Full record

ArticleRSC advances2025

Holistic analysis of Ganga basin water quality: a statistical approach with WQI, HMCI, HMQI and HRI indices.

Dipti Tiwari, Rajendra Kumar, Monika Yadav, Gopal Kumar Gupta, Santosh Kumar Singh, Nishikant Kishor Dhapekar, Majed A Alotaibi, Renuka Sharma

Abstract read
In one paragraph

Article in RSC advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Dipti TiwariDepartment of Applied Sciences, Faculty of Engineering and Technology, Rama University Kanpur 209217 Uttar Pradesh India.
Rajendra KumarDepartment of Applied Sciences, Faculty of Engineering and Technology, Rama University Kanpur 209217 Uttar Pradesh India.
Monika YadavDepartment of Applied Sciences, Faculty of Engineering and Technology, Rama University Kanpur 209217 Uttar Pradesh India.
Gopal Kumar GuptaSymbiosis Institute of Technology Nagpur Campus, Symbiosis International (Deemed University) Pune 440008 Maharashtra India.
Santosh Kumar SinghDepartment of Mechanical Engineering, United Institute of Technology Prayagraj 211010 Uttar Pradesh India.
Nishikant Kishor DhapekarDepartment of Civil Engineering, MATS University Raipur 493441 Chhattisgarh India.
Majed A AlotaibiDepartment of Electrical Engineering, College of Engineering, King Saud University Riyadh 11451 Saudi Arabia.
Renuka SharmaDepartment of Commerce and Management, Banasthali Vidyapith Tonk 304022 Rajasthan India sharma.renuka30@gmail.com.ORCID https://orcid.org/0000-0003-1582-6350

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Ganga river, one of the largest and most culturally significant rivers in India, supports millions of people living along its banks. However, extensive use and untreated wastewater discharge have led to significant contamination. This study utilizes land use and land cover (LULC) analysis, along with regular water sampling from 2021 to 2222, to assess variations in physical, chemical, and biological characteristics and evaluate health risks posed by heavy metals across eight monitoring sites in the Ganga and Yamuna rivers, Prayagraj, India. Results were compared with drinking water standards established by the Bureau of Indian Standards (BIS) and the World Health Organization (WHO). The Water Quality Index (WQI) indicated substantial water quality degradation at sites S2 (Ganga) and S8 (Yamuna). Although heavy metal levels (Cu, Fe, Cd, Pb, Mn, Cr) fluctuated across sites, Pb and Cd frequently exceeded permissible limits. Health Risk Assessment (HRI) findings pointed to potential health risks at sites S4 (Ganga) and S8 (Yamuna) due to elevated Pb and Cd levels. The Heavy Metal Contamination Index (HMCI) ranged from 733.78 to 981.33, classifying all samples as highly polluted, with Heavy Metal Quality Index (HMQI) values also indicating high risk, especially at sites S4 and S8. Further analysis using principal component analysis (PCA) and cluster analysis highlighted correlations among water quality parameters, while Pearson's correlation matrix and heat maps indicated positive relationships for DO, pH, alkalinity, and SO

Identifiers

PMID39902110
PMCPMC11789003

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