Evidence map›Paper›PMID 35648296›Full record

ArticleEnvironmental monitoring and assessment2022

Water quality assessment in the ecologically stressed lower and estuarine stretches of river Ganga using multivariate statistical tool.

Nitish Kumar Tiwari, Subhadeep Das Gupta, Himanshu Sekhar Swain, Dharm Nath Jha, Srikanta Samanta, Ranjan Kumar Manna, Archan Kanti Das, Basanta Kumar Das

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Article in Environmental monitoring and assessment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.3field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

0 citing papers in PubMed, 17 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

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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 at 1 institution in 1 country.

Nitish Kumar TiwariICAR - Central Inland Fisheries Research Institute, Barrackpore, 700120, Kolkata, India.
Subhadeep Das GuptaICAR - Central Inland Fisheries Research Institute, Barrackpore, 700120, Kolkata, India.
Himanshu Sekhar SwainICAR - Central Inland Fisheries Research Institute, Barrackpore, 700120, Kolkata, India.
Dharm Nath JhaICAR - Central Inland Fisheries Research Institute, Barrackpore, 700120, Kolkata, India.
Srikanta SamantaICAR - Central Inland Fisheries Research Institute, Barrackpore, 700120, Kolkata, India.
Ranjan Kumar MannaICAR - Central Inland Fisheries Research Institute, Barrackpore, 700120, Kolkata, India.
Archan Kanti DasICAR - Central Inland Fisheries Research Institute, Barrackpore, 700120, Kolkata, India.
Basanta Kumar DasICAR - Central Inland Fisheries Research Institute, Barrackpore, 700120, Kolkata, India. basantakumard@gmail.com.ORCID http://orcid.org/0000-0002-6629-8992
Central Inland Fisheries Research Institute · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Water quality of the Ganga River system is changing day by day due to multifold increase in population, especially near the banks of river Ganga, and associated exponential amplification of anthropogenic activities also played a remarkable role in it. The ecologically important lower and estuarine stretch of river Ganga comprising 7 different sampling stations, i.e., Jangipur, Berhampore, Balagarh, Tribeni, Godakhali, Diamond Harbour and Fraserganj, were selected for the study as the stretch is enriched with the vast number of floral and faunal diversity. The study was conducted for a period of 5 years, i.e., from 2016 to 2020. In the study, various analytical tools and techniques were used for the assessment of riverine water quality, i.e., for calculation of water quality index (WQI); The National Sanitation Foundation Water Quality Index (NSF-WQI) and the Canadian Council of Ministers of the Environment Water Quality Index (CCME-WQI) were used for the assessment. Along with WQI various statistical univariate as well as multivariate analytical tools like principal component analysis, correlation, ANOVA, and cluster analysis were also used to achieve the desired outputs. In the study, it has been observed that NSF-WQI varied from 61 to 2552, in which the higher value of NSF-WQI denoted the unsuitability of the water quality concerning the drinking water standards and vice versa. The CCME-WQI represented a similar trend as that of NSF-WQI, as it varied from 18 to 92 in which the lower value denoted degradation in the drinking water quality and vice versa. The study revealed that the Diamond Harbour-Fraserganj stretch is having an undesired level of water quality which were analyzed based on the drinking water guideline values of the Bureau of Indian Standards and that of NSF-WQI and CCME-WQI.

Indexed as

Drinking WaterWater QualityCanadaDiamondEnvironmental MonitoringRiversDiamondDrinking WaterCCME-WQIGanga River systemMultivariate analysisNSF-WQITransboundary River

Identifiers

PMID35648296
OpenAlexW4281672230

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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.