Evidence map›Paper›PMID 32607702›Full record

ArticleEnvironmental geochemistry and health2020

Quantification of groundwater-agricultural soil quality and associated health risks in the agri-intensive Sutlej River Basin of Punjab, India.

Ravishankar Kumar, Sunil Mittal, Sunayana Peechat, Prafulla Kumar Sahoo, Sunil Kumar Sahoo

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental geochemistry and health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 28% 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

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

3 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
  2. Article
  3. Soil contamination and human health: part 3.Environmental geochemistry and health · 2020
    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

5 authors at 2 institutions in 2 countries.

Ravishankar KumarDepartment of Environmental Sciences and Technology, Central University of Punjab, Mansa Road, Bathinda, Punjab, 151 001, India.
Sunil MittalDepartment of Environmental Sciences and Technology, Central University of Punjab, Mansa Road, Bathinda, Punjab, 151 001, India. sunil.cevs@gmail.com.
Sunayana PeechatDepartment of Environmental Sciences and Technology, Central University of Punjab, Mansa Road, Bathinda, Punjab, 151 001, India.
Prafulla Kumar SahooDepartment of Environmental Sciences and Technology, Central University of Punjab, Mansa Road, Bathinda, Punjab, 151 001, India.
Sunil Kumar SahooHealth Physics Division, Bhabha Atomic Research Centre, Mumbai, India.
Central University of Punjab · INBhabha Atomic Research Centre · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The quality of drinking water and agricultural soil significantly affects the health of residents of the area. The quality of groundwater used as drinking and irrigation water along with agricultural soil of an agri-intensive region of the Sutlej River Basin (SRB), Punjab (India), has been investigated in the present paper to further access their impacts on human health. The quality parameters studied are pH, conductivity, cations, anions and trace elements/heavy metals. The spatio-distribution maps of major contaminates have been made. The distribution of major existing groundwater and agricultural soil contaminants has also been illustrated using inverse distance weighting interpolation technique. Further, the Pearson correlation matrix and principal component analysis (PCA) have been applied to explore the correlation and source apportionment analysis for the contaminants. Finally, the health risk assessment study has also been performed. The results showed elevated levels [compared to BIS acceptable limits] of bicarbonate and total hardness in more than 90% groundwater samples, while the concentration of Se and U exceeded in around 25% samples. Spatial distribution maps showed a non-homologous distribution pattern for most of the heavy metals except Zn, indicating their different origins. The significant existence of Se and U in groundwater and low content in soils indicated their geogenic origin. The Gibbs diagram suggested that rock-water interaction is the primary process controlling the chemical evolution of the groundwater in the region. The PCA indicated that Cu, Mn, Pb, NO

Indexed as

AgricultureEnvironmental ExposureEnvironmental MonitoringGroundwaterHumansIndiaMetals, HeavyRisk AssessmentRiversSoil PollutantsTrace ElementsWater Pollutants, ChemicalMetals, HeavySoil PollutantsTrace ElementsWater Pollutants, ChemicalAgricultural soilGroundwater qualityHealth risksHeavy metalsSource apportionment

Identifiers

PMID32607702
OpenAlexW3038196864

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.