Evidence map›Paper›PMID 32215781›Full record

ArticleEnvironmental monitoring and assessment2020

Mercury, arsenic, lead and cadmium in waters of the Singrauli coal mining and power plants industrial zone, Central East India.

Shefali Bhardwaj, Richa Soni, Sharad Kumar Gupta, Dericks P Shukla

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental monitoring and assessment, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
5.9field-weighted citation impact, top 3% 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

11 citing papers in PubMed, 98 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Analysis of Air and Soil Quality around Thermal Power Plants and Coal Mines of Singrauli Region, India.International journal of environmental research and public health · 2022
    Article
  9. Article
  10. Article
  11. 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

4 authors at 1 institution in 1 country.

Shefali BhardwajSchool of Engineering, Indian Institute of Technology Mandi, Room No. 301, A-4 Building, IIT Mandi, South Campus, Kamand, Mandi, Himachal Pradesh, 175005, India.
Richa SoniSchool of Engineering, Indian Institute of Technology Mandi, Room No. 301, A-4 Building, IIT Mandi, South Campus, Kamand, Mandi, Himachal Pradesh, 175005, India.
Sharad Kumar GuptaSchool of Engineering, Indian Institute of Technology Mandi, Room No. 301, A-4 Building, IIT Mandi, South Campus, Kamand, Mandi, Himachal Pradesh, 175005, India.
Dericks P ShuklaSchool of Engineering, Indian Institute of Technology Mandi, Room No. 301, A-4 Building, IIT Mandi, South Campus, Kamand, Mandi, Himachal Pradesh, 175005, India. dericks@iitmandi.ac.in.ORCID http://orcid.org/0000-0001-6546-9203
Indian Institute of Technology Mandi · IN

Funding

Science and Engineering Research Board SR./FTP/ES-6/2013
6 · The paper itself

Abstract

The present investigation is an attempt to assess the contamination of heavy metals in the ground and surface water of the Singrauli industrial belt area. Pollution indices like heavy metal index (HPI), contamination index (CD) and heavy metal evaluation index (HEI) are used for the evaluation of heavy metal pollution (arsenic As, mercury Hg, cadmium Cd, and lead Pb). Contour maps are constructed to interpret metal spatial distribution. Further, the land-use/land-cover (LULC) maps for the year 2000, 2010 and 2016 are prepared using Landsat satellite data. A total of 48 water samples (Groundwater (27), Surface water (21)) are analysed for heavy metal concentration. Eighty-eight percent of groundwater and 90% of surface water samples are contaminated with Hg. Similarly, high concentrations of Pb and Cd were found in the samples. Surprisingly, all the water samples have As concentration above the WHO permissible limit of 10 ppb. Further, 95% of the samples have an HPI value greater than 100 indicating high heavy metal contamination. CD value denotes contamination of 89% of the samples with heavy metals (As, Hg, Cd, Pb). Through spatial distribution, it can be interpreted that most of the contaminated samples lie near thermal power plants, ash ponds, and coal mines. LULC (land use/land cover) study shows a significant decrease in water bodies by (108 km

Indexed as

Coal MiningEnvironmental MonitoringMetals, HeavySoil PollutantsArsenicCadmiumIndiaLeadMercuryPower PlantsArsenicCadmiumLeadMercuryMetals, HeavySoil PollutantsCoal-based thermal power plants (TPPs)Energy capital of IndiaHeavy metal (As, Hg, Pb, Cd) contaminationLand use land cover (LULC)Pollution indicesSpatial distribution

Identifiers

PMID32215781
OpenAlexW3013993666

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.