Evidence map›Paper›PMID 33486598›Full record

ArticleEnvironmental monitoring and assessment2021

Effects of lithium resource exploitation on surface water at Jiajika mine, China.

Juan-Qin Gao, Yang Yu, Deng-Hong Wang, Wei Wang, Cheng-Hui Wang, Hong-Zhang Dai, Xue-Feng Hao, Kuang Cen

Abstract read
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In one paragraph

Article in Environmental monitoring and assessment, 2021. 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
–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

2 citing papers in PubMed.

  1. Review
  2. Review
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.

Juan-Qin GaoSchool of Earth Sciences and Resources, China University of Geosciences, Beijing, 100083, People's Republic of China.
Yang YuChinese Academy of Geological Sciences, Beijing, 100037, People's Republic of China. yuyang_cags@sina.com.ORCID http://orcid.org/0000-0003-1338-718X
Deng-Hong WangChinese Academy of Geological Sciences, Beijing, 100037, People's Republic of China.
Wei WangGeology and Mineral Resources Scientific Institute of Sichuan Exploration Bureau of Geology and Mineral Resources, Chengdu, 610036, People's Republic of China.
Cheng-Hui WangChinese Academy of Geological Sciences, Beijing, 100037, People's Republic of China.
Hong-Zhang DaiChinese Academy of Geological Sciences, Beijing, 100037, People's Republic of China.
Xue-Feng HaoSichuan Institute of Geological Survey, Chengdu, 610081, People's Republic of China.
Kuang CenSchool of Earth Sciences and Resources, China University of Geosciences, Beijing, 100083, People's Republic of China.

Funding

Central Public-interest Scientific Institution Basal Research Fund K1209China Geological Survey (CN) DD20160055China Geological Survey (CN) DD20190173National Key Research and Develope Program of China 2017YFC062071National Key Research and Develope Program of China 2017YFC062075National Natural Science Foundation of China 41202254
6 · The paper itself

Abstract

Heavy metal and metalloid (HMM) contamination of the water environment caused by mining activities is a great challenge to the global mining industry. HMMs released by various mines could easily enter the surrounding environment and pose serious threats to human health. Although the HMM pollution of surface water in various mines has been widely researched, relevant studies on the effects of mining activities on the surface water of hard-rock-type Li mines are scarce. Herein, a total of 81 water samples were collected from Jiajika mine for the first time, the largest hard-rock-type Li mine in Asia. The physical parameters and concentrations of HMMs and major ions of the samples were analyzed to evaluate the water quality and HMM level of surface water. Results showed that (1) most of the parameters analyzed adhered to the strictest guidelines of Chinese surface waters and the drinking water guidelines of WHO, except Mn, Pb, and As of a few samples from tailings-affected areas and Li-bearing areas; (2) mineral tailings obviously increased the pH and decreased the dissolved oxygen (DO) of the surrounding surface waters; (3) the highest concentrations of As (5.58 μg/L), Zn (81.8 μg/L), Ba (5.26 μg/L), and Co (0.33 μg/L) were observed around the tailings reservoir, whereas the highest concentrations of Cr (1.5 μg/L), Mn (380 μg/L), Pb (28.4 μg/L), and V (3.16 μg/L) were observed in Li-bearing areas; and (4) according to the statistical results, the concentrations of As, Cr, Ni, and V in surface water were mainly affected by mining activities, whereas those of Cu, Zn, Ba, Co, and Pb were dominantly affected by natural processes. These results provide useful information about water quality in relation to Li mining and can help the government make reasonable decisions regarding hard-rock-type Li resource exploitation activities.

Indexed as

Metals, HeavySoil PollutantsWater Pollutants, ChemicalAsiaChinaEnvironmental MonitoringHumansLithiumLithiumMetals, HeavySoil PollutantsWater Pollutants, ChemicalContaminationHeavy metalsMajor ionsSource identificationSpatial distributionSurface water

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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.