Evidence map›Paper›PMID 32300920›Full record

ArticleEnvironmental monitoring and assessment2020

Spatial-temporal characteristics and driving factors of the human health impacts of five industrial aquatic toxic metals in China.

Yuanyi Huang, Beihai Zhou, Ruru Han, Xiaohui Lu, Shuo Li, Nan Li

Abstract read
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In one paragraph

Article in Environmental monitoring and assessment, 2020. 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
–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

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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.

  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

6 authors.

Yuanyi HuangSchool of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083, China.
Beihai ZhouSchool of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083, China. zhoubeihai@sina.com.
Ruru HanSchool of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083, China.
Xiaohui LuSchool of Information Management, Beijing Information Science and Technology University, Beijing, 100192, China.
Shuo LiSchool of Information Management, Beijing Information Science and Technology University, Beijing, 100192, China.
Nan LiKey Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China. nanli@iue.ac.cn.

Funding

General Program of Science and Technology Plan of the Beijing Education Commission KM201711232017Major Science and Technology Program for Water Pollution Control and Treatment 2014ZX07510-001-004
6 · The paper itself

Abstract

With the rapid advancement of industrialization without effective supervision, industrial aquatic toxic metal (TM) emissions pose threats to human health in China. Due to differences in socioeconomic development, the regional disparity of industrial aquatic TM emissions is obvious nationwide. In this study, the human health impacts (HHIs) of industrial aquatic TM emissions (i.e., mercury (Hg), cadmium (Cd), hexavalent chromium (Cr(VI)), lead (Pb), and arsenic (As)) in the 31 provinces of China were evaluated based on the ReCiPe method, and the driving factors affecting HHIs from 2000 to 2015 were decomposed using the logarithmic mean Divisia index (LMDI) method. The results showed that the HHIs gradually decreased, with more than an 80% decrease from 2000 to 2015. The order of the TMs contributing to the national HHIs in 2015 was as follows: As (79.5%) > Cr(VI) (19.6%) > Hg (0.4%) > Pb (0.2%) = Cd (0.2%), and 21 (68%) provinces were dominated by industrial aquatic As emissions. Economic development is the major driving factor of the increase in HHIs, while the HHI strength and wastewater discharge intensity are the key driving factors causing reductions in the HHIs. Hunan, Inner Mongolia, Hubei, and Jiangxi accounted for approximately 55% of the total HHIs in 2015. Some suggestions for reducing HHIs based on the local realities of different provinces were put proposed considering two aspects: economic strategy and technical capability.

Indexed as

MercuryMetals, HeavyWater PollutantsChinaEnvironmental HealthEnvironmental MonitoringHeavy Metal PoisoningHumansIndustryMercuryMetals, HeavyWater PollutantsIndex decomposition analysisLife cycle impact assessmentLogarithmic mean Divisia indexReCiPe

Identifiers

PMID32300920

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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.