Evidence map›Paper›PMID 32959018›Full record

ArticleEnvironmental technology & innovation2020

Nature rejuvenation: Long-term (1989-2016) vs short-term memory approach based appraisal of water quality of the upper part of Ganga River, India.

Amit Kumar, Saurabh Mishra, A K Taxak, Rajiv Pandey, Zhi-Guo Yu

Abstract read
In one paragraph

Article in Environmental technology & innovation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

4 citing papers in PubMed.

  1. Review
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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

5 authors.

Amit KumarNanjing University of Information Science and Technology, School of Hydrology and Water Resources, Nanjing, Jiangsu Province, 210044, China.
Saurabh MishraHohai University, College of Environment, Nanjing, Jiangsu Province, 210098, China.
A K TaxakIndian Institute of Technology Roorkee, Department of Civil Engineering, Haridwar, Uttarakhand, 247667, India.
Rajiv PandeyForest Research Institute, Dehradun, Uttarakhand, 248121, India.
Zhi-Guo YuNanjing University of Information Science and Technology, School of Hydrology and Water Resources, Nanjing, Jiangsu Province, 210044, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The deteriorating water quality (WQ) of the sacred north-flowing perennial Indian River, Ganga was a serious concern in recent decades for population adjoining to the river and policy planners. The present evaluation attempts to assess the long-term (1989-2016) physiochemical characteristics of WQ of river Ganga at five upstream locations (Uttarkashi, Tehri, Rudraprayag, Devprayag, and Rishikesh) of Uttarakhand, India using comprehensive pollution index (CPI) and environmetrics (PCA and CA). These methods were used to categorize, summarize expensive datasets, and grouping the similar polluted areas along the river stretches. The WQ of river at all the locations were within the good category and most of the physiochemical parameters were well within their acceptable limit for drinking WQ. Considerably, CPI demonstrated the river WQ was in slight pollution range (CPI: 0.40-1.00) in the year 2007 and 2015 at all the five locations. The positive correlation coefficient (R

Indexed as

Comprehensive pollution indexHydrological cyclePhysiochemicalWastewaterWater discharge

Identifiers

PMID32959018
PMCPMC7493808

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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.