Evidence map›Paper›PMID 34003407›Full record

ArticleEnvironmental geochemistry and health2021

Risk sources quantitative appointment of ecological environment and human health in farmland soils: a case study on Jiuyuan District in China.

Huilan Zhang, Min Zhang, Yueting Wu, Juan Tang, Shiyu Cheng, Yilin Wei, Ying Liu

Abstract read
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In one paragraph

Article in Environmental geochemistry and health, 2021. 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
0.4field-weighted citation impact, top 49% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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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

7 authors at 1 institution in 1 country.

Huilan ZhangCollege of Life and Environmental Sciences, Minzu University of China, Beijing, 100081, China.
Min ZhangCollege of Life and Environmental Sciences, Minzu University of China, Beijing, 100081, China.
Yueting WuCollege of Life and Environmental Sciences, Minzu University of China, Beijing, 100081, China.
Juan TangCollege of Life and Environmental Sciences, Minzu University of China, Beijing, 100081, China.
Shiyu ChengCollege of Life and Environmental Sciences, Minzu University of China, Beijing, 100081, China.
Yilin WeiCollege of Life and Environmental Sciences, Minzu University of China, Beijing, 100081, China.
Ying LiuCollege of Life and Environmental Sciences, Minzu University of China, Beijing, 100081, China. liuying4300@163.com.
Minzu University of China · CN

Funding

Fundamental Research Funds for the Central Universities 2020MDJC18Fundamental Research Funds for the Central Universities 2021QNPY82National Natural Science Foundation of China 21177163Undergraduate Scientific Research and Training Program of Minzu University of China BEIJ2019110038
6 · The paper itself

Abstract

Heavy metals (HMs) in farmland soils lead to adverse influences on ecosystem and human health. Despite that, data on quantitative risk from different sources are still scarce. In this study, 100 farmland soil samples in Jiuyuan District were collected and analyzed for selected HMs (As, Cd, Co, Cr, Cu, Mn, Ni, Pb, V and Zn) content characteristics and pollution statuses. The positive matrix factorization (PMF) model combined with the Nemerow integrated risk index (NIRI) and human health risk assessment (HHRA) was used to quantitatively identify the primary risk sources. The results indicated that the mean contents or median values (mg/kg) of 10 HMs were all higher than the background values. The contamination factor (CF) and pollution load index (PLI) revealed that the soil was severely polluted. Based on PMF, the main source of HM pollution was anthropogenic activities, accounting for 78.91%. Sewage irrigation represented the biggest input but was not associated with the highest risk. The results of PMF-based NIRI and PMF-based HHRA showed that the chemical fertilizers and pesticides were the largest and priority risk sources with contribution rates of 38.10% to ecological risk and 34.61 and 32.82% to non-carcinogenic and carcinogenic risk, respectively. In addition, non-carcinogenic risk of children was higher than that of adults, while the carcinogenic risk was the opposite. The integrated approaches were beneficial for priority risk quantification from different sources and can provide direct risk information and effective policy recommendations for management and control of key risk sources.

Indexed as

Metals, HeavySoil PollutantsAdultChildChinaEcosystemEnvironmental MonitoringFarmsHumansRisk AssessmentSoilMetals, HeavySoilSoil PollutantsFarmland soilsHeavy metalsPriorityRisks quantificationSource apportionment

Identifiers

PMID34003407
OpenAlexW3162598168

What OpenQuestion holds

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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.