Evidence map›Paper›PMID 35257266›Full record

ArticleEnvironmental monitoring and assessment2022

Water quality characteristics, sources, and assessment of surface water in an industrial mining city, southwest of China.

Chenzi Fan, Yongbing Liu, Chenghai Liu, Wenbo Zhao, Naixuan Hao, Wei Guo, Jihai Yuan, Jiujiang Zhao

Open access · hybridAbstract read
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In one paragraph

Article in Environmental monitoring and assessment, 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
1.8field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 23 citations in OpenAlex.

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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

8 authors at 1 institution in 1 country.

Chenzi FanNational Research Center for Geoanalysis, Beijing, China.
Yongbing LiuNational Research Center for Geoanalysis, Beijing, China. liuyongbingpublic@126.com.
Chenghai LiuNational Research Center for Geoanalysis, Beijing, China.
Wenbo ZhaoNational Research Center for Geoanalysis, Beijing, China.
Naixuan HaoNational Research Center for Geoanalysis, Beijing, China.
Wei GuoNational Research Center for Geoanalysis, Beijing, China.
Jihai YuanNational Research Center for Geoanalysis, Beijing, China.
Jiujiang ZhaoNational Research Center for Geoanalysis, Beijing, China.
American Institute for Psychoanalysis · US

Funding

China Geological Survey Project DD20190589National Key Research and Development Program of China 2019YFC1805005
6 · The paper itself

Abstract

This study analyzed the physiochemical factors, spatial-seasonal variations, and correlations of main pollutants, water quality evaluation and possible sources of nitrogen in the surface water of Anning, an industrial mining city, southwest of China. Seventy surface water samples were examined through an analysis of 41 physiochemical indices in the dry and wet seasons in April and July 2019, respectively, while a part of water site samples collected in July 2020 was taken for isotope detections. To identify the water quality, single-factor pollution index (SI), Nemerow pollution index (NPI), and water quality comprehensive pollution index (CPI) were calculated based on 13 pollutants using GB 3838-2002 class III water standard values. Results pointed to typical pollutants of TN, TP, and F with ranges of l.d.-44.8 (2.00 ± 3.69) mg/L, l.d.-250 (2.07 ± 15.35) mg/L, and l.d.-11 (1.48 ± 7.34) mg/L respectively with high spatial variability. The concentrations of heavy metals present in the water samples followed the sequence: Zn > Ni > Cu > As > Pb > Cd > Hg, and most of the samples showed low values relative to the standard permissible limits. In three methods, the water quality evaluation results of SI method were obviously worse than NPI and CPI methods. The NPI and CPI values had ranges of 0.116-887.40 (8.12 ± 74.89) and 0.03-111.54 (1.17 ± 9.40), respectively; consequently, the water quality was considered generally well, with more than 65% of sites classified as "cleanness" or "sub-cleanness." Most of the values of δ

Indexed as

Metals, HeavySoil PollutantsWater Pollutants, ChemicalChinaEnvironmental MonitoringHumansRisk AssessmentSoilWater QualityMetals, HeavySoilSoil PollutantsWater Pollutants, ChemicalAnningNitrogenPollution sourcesSpatial and seasonal variationsWater quality assessment method

Identifiers

PMID35257266
OpenAlexW4220774346

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.