Evidence map›Paper›PMID 31650250›Full record

ArticleEnvironmental monitoring and assessment2019

Arsenic concentration, speciation, and risk assessment in sediments of the Xijiang River basin, China.

Hai-Bo Wang, Jia-Ming Xu, Mario Alberto Gomez, Zhong-Liang Shi, Shi-Feng Li, Shu-Yan Zang

Erratum issuedAbstract read
PubMed Publisher
In one paragraph

Article in Environmental monitoring and assessment, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

1 citing paper in PubMed, 12 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Hai-Bo WangLiaoning Engineering Research Center for Treatment and Recycling of Industrially Discharged Heavy Metals, Shenyang, 110142, People's Republic of China.
Jia-Ming XuLiaoning Engineering Research Center for Treatment and Recycling of Industrially Discharged Heavy Metals, Shenyang, 110142, People's Republic of China.
Mario Alberto GomezLiaoning Engineering Research Center for Treatment and Recycling of Industrially Discharged Heavy Metals, Shenyang, 110142, People's Republic of China.
Zhong-Liang ShiLiaoning Engineering Research Center for Treatment and Recycling of Industrially Discharged Heavy Metals, Shenyang, 110142, People's Republic of China. shzhl2000@163.com.
Shi-Feng LiLiaoning Engineering Research Center for Treatment and Recycling of Industrially Discharged Heavy Metals, Shenyang, 110142, People's Republic of China. li.shi.feng@163.com.
Shu-Yan ZangLiaoning Engineering Research Center for Treatment and Recycling of Industrially Discharged Heavy Metals, Shenyang, 110142, People's Republic of China.
Shenyang University of Chemical Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to acquire the spatial distribution, speciation, and risk assessment of arsenic (As), 18 sediment samples were collected in the middle and upper reaches (Nanpan River, Beipan River, Hongshui River, Diaojiang River, and Duliu River) of the Xijiang River basin, China. The chemical fractions of As in the collected sediments were mainly dominated by the residual fraction and the Fe (Mn, Al) oxide/oxyhydroxides fractions. The correlation analysis results showed that the chemical fraction of As in sediments had close correlations with Mn, good correlations with Fe and organic matter (OM), while weak correlations with Al and carbonate. In addition, it also showed that Diaojiang River basin was found to have an extremely high As pollution status and suffered from high ecological risk. Duliu River and Nanpan River had moderately polluted levels of As and showed a low ecological risk. The other sample sites of Xijiang River basin were uncontaminated of As. The assessment results from this study indicated that the different types of species present based on the chemical fractionation of As from the Xijiang River basin showed different risks. Graphical abstract.

Indexed as

ArsenicCarbonatesChinaEcologyEnvironmental MonitoringGeologic SedimentsMetals, HeavyRisk AssessmentRiversWater Pollutants, ChemicalWater Pollution, ChemicalArsenicCarbonatesMetals, HeavyWater Pollutants, ChemicalAsChemical fractionSediment analysisXijiang River

Identifiers

PMID31650250
OpenAlexW2982090672

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.