Evidence map›Paper›PMID 35565108›Full record

ArticleInternational journal of environmental research and public health2022

Concentration, Health Risk, and Hydrological Forcing of Heavy Metals in Surface Water Following Water-Sediment Regulation of the Xiaolangdi Dam in the Yellow River.

Qinghe Zhao, Shengyan Ding, Zihan Geng, Xunling Lu, Zhendong Hong, Yi Liu, Jinhai Yu

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 57% 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, 6 citations in OpenAlex.

  1. 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

7 authors at 1 institution in 1 country.

Qinghe ZhaoKey Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions of the Ministry of Education, College of Geography and Environmental Science, Henan University, Kaifeng 475004, China.ORCID 0000-0001-5280-9264
Shengyan DingKey Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions of the Ministry of Education, College of Geography and Environmental Science, Henan University, Kaifeng 475004, China.
Zihan GengKey Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions of the Ministry of Education, College of Geography and Environmental Science, Henan University, Kaifeng 475004, China.
Xunling LuKey Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions of the Ministry of Education, College of Geography and Environmental Science, Henan University, Kaifeng 475004, China.
Zhendong HongKey Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions of the Ministry of Education, College of Geography and Environmental Science, Henan University, Kaifeng 475004, China.
Yi LiuKey Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions of the Ministry of Education, College of Geography and Environmental Science, Henan University, Kaifeng 475004, China.
Jinhai YuKey Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions of the Ministry of Education, College of Geography and Environmental Science, Henan University, Kaifeng 475004, China.
Henan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Water and sediment regulation aimed at aquatic ecosystems and preserving reservoir capacity to minimize the negative consequences of dams can fundamentally change the distribution of heavy metals (HMs) in the reservoir and downstream reaches. However, the effects of water and sediment regulation on variation in HMs are still poorly understood. In this study, the variations in concentration, contamination, human health risk, potential sources, and influencing factors of the metalloid As and HMs (Cr, Hg, Ni, Pb, and Zn) in surface water in the reservoir and the downstream reach of the Xiaolangdi Dam (XLD) following the operation of the water-sediment regulation scheme (WSRS) were determined. These results indicate that HM concentrations in the two post-WSRS seasons were much lower than the water quality standards, but were significantly increased over time due to the trapping effects of the XLD (p < 0.05, except for Zn). However, As concentration in the reservoir was significantly lower than that observed in downstream reaches, likely due to anthropogenic input from agricultural activities. Meanwhile, HM concentrations varied with distance to the dam, which displayed a distinct accumulation closer to the dam in the post-WSRS II season. The contamination of HMs, the carcinogenic risk of exposure to As, and the noncarcinogenic risks associated with exposure to Hg, Ni, Pb, and Zn via the direct ingestion pathway of drinking water were all within acceptable levels following the WSRS, but increased over time. The carcinogenic risk of Cr in the post-WSRS II season was at an unacceptably high level, particularly at sites near the dam. Hydrological characteristics (water level and flow rate) were the dominant factors in determining the distribution of HMs. These results can provide new insight for a better understanding of the variations in HMs following the water and sediment regulation practices, and guide future management in regulating the trapping effects of dams.

Indexed as

MercuryMetals, HeavyWater Pollutants, ChemicalChinaEcosystemEnvironmental MonitoringGeologic SedimentsHumansLeadRisk AssessmentLeadMercuryMetals, HeavyWater Pollutants, Chemicalhealth riskheavy metalshydrological forcingtrapping effectwater-sediment regulation

Identifiers

PMID35565108
PMCPMC9099827
OpenAlexW4229334388

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.