Evidence map›Paper›PMID 38374291›Full record

ArticleEnvironmental geochemistry and health2024

Identification of sources and analysis of spatial distribution of soil heavy metals in northern China coal mining areas.

Xiaojing Zhang, Shengwei Zhang, Xiaoyan Wei, Zhiqiang Liu, Chunxue Wang, Hongying Mu, Yuzhe Han, Chengxu Liu

Abstract read
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In one paragraph

Article in Environmental geochemistry and health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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.

Xiaojing ZhangCollege of Water Conservancy and Civil Engineering, Inner Mongolia Agricultural University, Hohhot, 010018, Inner Mongolia, China.
Shengwei ZhangCollege of Water Conservancy and Civil Engineering, Inner Mongolia Agricultural University, Key Laboratory of Water Resources Protection and Utilization of Inner Mongolia Autonomous Region, Autonomous Region Collaborative Innovation Center for Integrated Management of Water Resources and Water Environment in the Inner Mongolia Reaches of the Yellow River, Hohhot, 010018, Inner Mongolia, China. zsw@imau.edu.cn.
Xiaoyan WeiInner Mongolia Environmental Monitoring and Inspection Co., LTD, Hohhot, 010010, Inner Mongolia, China.
Zhiqiang LiuCollege of Water Conservancy and Civil Engineering, Inner Mongolia Agricultural University, Hohhot, 010018, Inner Mongolia, China.
Chunxue WangCollege of Water Conservancy and Civil Engineering, Inner Mongolia Agricultural University, Hohhot, 010018, Inner Mongolia, China.
Hongying MuCollege of Water Conservancy and Civil Engineering, Inner Mongolia Agricultural University, Hohhot, 010018, Inner Mongolia, China.
Yuzhe HanCollege of Water Conservancy and Civil Engineering, Inner Mongolia Agricultural University, Hohhot, 010018, Inner Mongolia, China.
Chengxu LiuCollege of Water Conservancy and Civil Engineering, Inner Mongolia Agricultural University, Hohhot, 010018, Inner Mongolia, China.

Funding

National Key Research and Development Program of China 2021YFC3201201National Natural Science Foundation of China 52079063Program for Innovative Research Team in the Universities of Inner Mongolia Autonomous Region NMGIRT2313Program for Young Talents of Science and Technology in Universities of Inner Mongolia Autonomous Region BR220118Technological Achievements of Inner Mongolia Autonomous Region of China 2020CG0054, 2020GG0076the Natural Science Foundation of Inner Mongolia Autonomous Region of China 2021MS04013
6 · The paper itself

Abstract

The mining and utilization of coal resources has not only promoted rapid economic development but also poses a potential threat to the ecological environment. The purpose of this study is to clarify the effects both of mining and land use types on the spatial distribution and particular sources of heavy metals in soil, using inverse distance weighted (IDW) and the Positive Matrix Factorization (PMF) model. A total of 99 topsoil and profile soil samples across different land use types and mining conditions were collected. The contamination of soil with Cd, Pb, and Hg in the research area was most severe, with the coefficient of variation (CV) of Hg being the largest, while also being heavily influenced by human activities. Severely polluted regions were mainly distributed in the center of the coal mining area, as well as near the highway. The contents of heavy metals for various land use patterns were ranked as follows: forestland > farmland > bare land > grassland > building land. Hg, Cd, Pb, Cr, and Zn had showed migration in the 0-60 cm depth range, and the enrichment factors (EFs) of Cd, Pb, Hg, and As in the soil profile were the most significant. The PMF demonstrated that the contributions of industrial activities and atmospheric deposition, transportation and mining activities, agricultural activities, and natural sources accounted for 31.25%, 28.13%, 22.24%, and 18.38%, respectively. The migration and deposition of atmospheric particulate matter from coal mining, transportation, and coal combustion under winds triggered heavy metal contamination in semi-arid areas of northern China. This phenomenon has important implications for the prevention and reduction of heavy metal pollution through various effective measures in coal-mining cities in northern China.

Indexed as

Coal MiningMercuryMetals, HeavySoil PollutantsCadmiumChinaCoalEnvironmental MonitoringHumansLeadRisk AssessmentSoilCadmiumCoalLeadMercuryMetals, HeavySoilSoil PollutantsLand useMining areaPositive matrix factorization (PMF)Soil heavy metalsSource analysisSpatial distribution

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Registered trials

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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.