Evidence map›Paper›PMID 32862268›Full record

ArticleEnvironmental geochemistry and health2022

Spatial distribution of heavy metals in soils of the flood plain of the Seversky Donets River (Russia) based on geostatistical methods.

Vitaly G Linnik, Tatiana V Bauer, Tatiana M Minkina, Saglara S Mandzhieva, Mahmoud Mazarji

Abstract read
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In one paragraph

Article in Environmental geochemistry and health, 2022. 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. Article
  2. Article
  3. Soil contamination and human health: recent contributions.Environmental geochemistry and health · 2022
    Article
  4. 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.

Vitaly G LinnikInstitute of Geochemistry and Analytical Chemistry, Russian Academy of Sciences, Kosygina st., 19., Moscow, Russian Federation, 119991. vlinnik_53@mail.ru.ORCID http://orcid.org/0000-0002-1667-3811
Tatiana V BauerFederal Research Centre the Southern Scientific Centre of the Russian Academy of Sciences, Rostov-on-Don, Russian Federation, 344006.ORCID http://orcid.org/0000-0002-6751-8686
Tatiana M MinkinaSouthern Federal University, Rostov-on-Don, Russian Federation, 344006.ORCID http://orcid.org/0000-0003-3022-0883
Saglara S MandzhievaSouthern Federal University, Rostov-on-Don, Russian Federation, 344006.ORCID http://orcid.org/0000-0001-6000-2209
Mahmoud MazarjiSouthern Federal University, Rostov-on-Don, Russian Federation, 344006.ORCID http://orcid.org/0000-0003-4398-8832

Funding

Russian Academy of Sciences 0137-2019-0008Russian Foundation for Basic Research 19-05-50097Russian Foundation for Basic Research 19-34-60041
6 · The paper itself

Abstract

Soil contamination by heavy metals (HM) is a worldwide problem for human health. To reduce risk to human health from exposure to toxic chemicals associated with soil contamination, it is necessary to monitor and assess HM concentrations in the soil for places where the concentration exceeds the acceptable levels. Spatial patterning is a necessary tool for assessment of the exposure risk of HM contamination. Soil sampling (n = 65) was carried out in technogenically polluted soils located at Rostov oblast to study the content and spatial distribution of four HM (Cu, Zn, Pb, and Cr) in the surface layer (0-20 cm) of the impact zone of former Lake Atamanskoe (floodplain of the Seversky Donets River valley, Rostov region) with an area of 3.91 km

Indexed as

Metals, HeavySoil PollutantsChinaEnvironmental MonitoringFloodsHumansRisk AssessmentRiversSoilMetals, HeavySoilSoil PollutantsIndicator krigingLognormal krigingpotential toxic elementsSoilSpatial variabilityVariogram

Identifiers

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.