Evidence map›Paper›PMID 31463754›Full record

ArticleEnvironmental science and pollution research international2020

Groundwater pollution source apportionment using principal component analysis in a multiple land-use area in southwestern China.

Qiling Li, Han Zhang, Shanshan Guo, Kang Fu, Lei Liao, Yi Xu, Siqian Cheng

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. An integrated approach based on HFE-D, GIS techniques, GQIEnvironmental science and pollution research international · 2024
    Article
  3. Myanmar's Land Cover Change and Its Driving Factors during 2000-2020.International journal of environmental research and public health · 2023
    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.

Qiling LiFaulty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, 610031, China.
Han ZhangFaulty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, 610031, China. zhanghan@home.swjtu.edu.cn.ORCID http://orcid.org/0000-0002-7316-348X
Shanshan GuoFaulty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, 610031, China.
Kang FuFaulty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, 610031, China.
Lei LiaoFaulty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, 610031, China.
Yi XuFaulty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, 610031, China.
Siqian ChengFaulty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, 610031, China.

Funding

National Natural Science Foundation of China 51509215Sichuan Province Science and Technology Support Program 2019YJ0234
6 · The paper itself

Abstract

Identification of different pollution sources in groundwater is challenging, especially in areas with diverse land uses and receiving multiple inputs. In this study, principal component analysis (PCA) was combined with geographic information system (GIS) to explore the spatial and temporal variation of groundwater quality and to identify the sources of pollution and main factors governing the quality of groundwater in a multiple land-use area in southwestern China. Groundwater samples collected from 26 wells in 2012 and 38 wells in 2018 were analyzed for 13 water quality parameters. The PCA results showed that the hydro-geochemical process was the predominant factor determining groundwater quality, followed by agricultural activities, domestic sewage discharges, and industrial sewage discharges. Agriculture expansion from 2012 to 2018 resulted in increased apportionment of agricultural pollution. In contrast, economic restructure and infrastructure improvement reduced the contributions of domestic sewage and industrial pollution. Anthropogenic activities were found the major causes of elevated nitrogen concentrations (NO

Indexed as

GroundwaterAgricultureChinaEnvironmental MonitoringNitratesPrincipal Component AnalysisWater Pollutants, ChemicalNitratesWater Pollutants, ChemicalContaminationGroundwater qualityLand useNitrogenPrinciple component analysisSpatial analysis

Identifiers

What OpenQuestion holds

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Read underepoch 390

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.