Evidence map›Paper›PMID 42347416›Full record

ArticleToxics2026

Analysis and Evaluation of Groundwater Pollution for Coastal Agricultural Waste Landfills.

Deyue Sun, Panshu Ma, Tong Qi, Wei Chen, Qingjia Meng, Ruizhi Liu, Wenwen Li

Abstract read
In one paragraph

Article in Toxics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Deyue SunKey Laboratory of Estuarine and Coastal Environment, Ministry of Ecology and Environment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
Panshu MaKey Laboratory of Estuarine and Coastal Environment, Ministry of Ecology and Environment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
Tong QiKey Laboratory of Estuarine and Coastal Environment, Ministry of Ecology and Environment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
Wei ChenKey Laboratory of Estuarine and Coastal Environment, Ministry of Ecology and Environment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
Qingjia MengKey Laboratory of Estuarine and Coastal Environment, Ministry of Ecology and Environment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
Ruizhi LiuKey Laboratory of Estuarine and Coastal Environment, Ministry of Ecology and Environment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
Wenwen LiKey Laboratory of Estuarine and Coastal Environment, Ministry of Ecology and Environment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.

Funding

Ministry of Ecology and Environment 2025ZD1201000
6 · The paper itself

Abstract

With the rapid urbanization of China, environmental risks posed by informal landfills, particularly those dominated by agricultural waste, are an urgent yet understudied concern. This study systematically monitored groundwater quality surrounding five typical informal agricultural waste landfills in a coastal Chinese city. Eight major pollutants were analyzed using pollution index evaluation, the health risk model and multivariate statistical methods. The results indicate one landfill as a high-priority concern, exhibiting a combined multi-index pollution pattern with an exceedance rate of 87.5%, where NO

Indexed as

groundwater pollutionhuman health risk assessmentinformal agricultural waste landfillpollution analysisprincipal component analysis

Identifiers

PMID42347416
PMCPMC13307814

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.