Evidence map›Paper›PMID 29582329›Full record

ArticleEnvironmental science and pollution research international2018

Distribution and hydrogeochemical behavior of arsenic enriched groundwater in the sedimentary aquifer comparison between Datong Basin (China) and Kushtia District (Bangladesh).

Md Enamul Huq, Chunli Su, Shah Fahad, Junxia Li, Most Sinthia Sarven, Rui Liu

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.2field-weighted citation impact, top 15% 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

2 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
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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

6 authors at 2 institutions in 2 countries.

Md Enamul HuqSchool of Environmental Studies, China University of Geosciences (Wuhan), Lumo Road 388, Wuhan, 430074, Hubei, China.
Chunli SuSchool of Environmental Studies, China University of Geosciences (Wuhan), Lumo Road 388, Wuhan, 430074, Hubei, China. chl.su@cug.edu.cn.
Shah FahadCollege of Plant Science and Technology, Huazhong Agricultural University, Shizishan Street-1, Wuhan, 430070, Hubei, China.
Junxia LiSchool of Environmental Studies, China University of Geosciences (Wuhan), Lumo Road 388, Wuhan, 430074, Hubei, China.
Most Sinthia SarvenCollege of Plant Science and Technology, Huazhong Agricultural University, Shizishan Street-1, Wuhan, 430070, Hubei, China.
Rui LiuSchool of Environmental Studies, China University of Geosciences (Wuhan), Lumo Road 388, Wuhan, 430074, Hubei, China.
China University of Geosciences · CNHuazhong Agricultural University · CN

Funding

National Natural Science Foundation of China 41521001
6 · The paper itself

Abstract

A prompt growth in research on arsenic occurrence and behavior in the environment has occurred over the last decade or so. High arsenic (As) in groundwater has become a major global concern due to its widespread occurrence. A comparative hydrogeochemical study was performed on the occurrence of high As groundwater in Datong Basin, China, and Kushtia District, Bangladesh. A total of 132 groundwater samples (83 from Datong Basin and 49 from Kushtia District) were collected to analyze the major hydrogeochemical components and trace elements in groundwater of both areas. Factor analysis (FA) was applied on the hydrochemical data to identify the major hydrogeochemical processes in sedimentary aquifers. High As groundwater was observed in the low-lying central parts of Datong Basin, which are composed of the Holocene alluvial and lacustrine aquifers. The elevated As concentrations ranged from 0.31 to 452 μg/L and distributed in depths between 20 and 45 m. As-enriched groundwater is mainly Na-HCO

Indexed as

Environmental MonitoringArsenicBangladeshChinaGeologic SedimentsGroundwaterWater Pollutants, ChemicalArsenicWater Pollutants, ChemicalFactor analysisGeochemical processHigh arsenic groundwaterReducing condition

Identifiers

PMID29582329
OpenAlexW2794562836

What OpenQuestion holds

Textmetadata
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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.