Evidence map›Paper›PMID 35457560›Full record

ArticleInternational journal of environmental research and public health2022

Time-Space Simulation, Health Risk Warning and Policy Recommendations of Environmental Capacity for Heavy Metals in the Pearl River Basin, China.

Feng Liang, Yujie Pan, Hongxia Peng, Min Zeng, Changsheng Huang

Abstract 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 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. Article
  2. 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

5 authors.

Feng LiangDepartment of Primary Education, Normal College of Jishou University, Jishou 416000, China.
Yujie PanCollege of Environmental Sciences and Engineering, Peking University, Beijing 100871, China.
Hongxia PengDepartment of Geography, School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China.
Min ZengWuhan Geological Survey Center of China Geological Survey, Wuhan 430205, China.
Changsheng HuangWuhan Geological Survey Center of China Geological Survey, Wuhan 430205, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In China, the environmental capacity problem of heavy metals has long been hidden in the Pearl River Basin creating a contradiction between the economic development and environmental health. Thus, this research calculated the environmental capacity of heavy metals in the agricultural land of the urban agglomeration in the Pearl River Basin, evaluated the health risk warning capacity using a comprehensive index. The results showed that the static capacity order of heavy metals in the study area was As > Pb > Zn > Cr > Hg > Cu > Ni > Cd. The dynamic capacity showed an upward trend, and it fluctuated in some cities. The remaining capacity of Cr and Ni was relatively poor, and the comprehensive soil quality index of the Pearl River Basin was 0.64. The pollution level was of grade IV, which belongs to the medium capacity, but the soil pollution risk still existed, which threaten the health of local resident. In this regard, this study also put forward some countermeasures for pollution control. Thus, studying the soil heavy metal environmental capacity can provide a reference for heavy metal pollution control and health risk early warning in the Pearl River Basin.

Indexed as

Metals, HeavySoil PollutantsChinaEnvironmental MonitoringPolicyRisk AssessmentRiversSoilSpace SimulationMetals, HeavySoilSoil Pollutantsenvironmental capacityhealth risk warningheavy metalsPearl River Basin

Identifiers

PMID35457560
PMCPMC9027606

What OpenQuestion holds

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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.