Evidence map›Paper›PMID 39194531›Full record

ArticleBiology2024

Seasonal Effects of Constructed Wetlands on Water Quality Characteristics in Jinshan Lake: A Gate Dam Lake (Zhenjiang City, China).

Xiao Li, Xinlin Liu, Yulong Zhang, Jing Liu, Yang Huang, Jian Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biology, 2024. 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

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

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.

Xiao LiART School, Jiangsu University, Zhenjiang 212013, China.
Xinlin LiuSchool of the Environment and Safety Engineering, Jiangsu University, Zhenjiang 212013, China.
Yulong ZhangSchool of the Environment and Safety Engineering, Jiangsu University, Zhenjiang 212013, China.
Jing LiuSchool of the Environment and Safety Engineering, Jiangsu University, Zhenjiang 212013, China.
Yang HuangART School, Jiangsu University, Zhenjiang 212013, China.
Jian LiSchool of the Environment and Safety Engineering, Jiangsu University, Zhenjiang 212013, China.

Funding

Carbon Peak and Carbon Neutrality Technology Innovation Foundation of Jiangsu Province BK20220030Open Research Fund of State Key Laboratory of Estuarine and Coastal Research SKLEC-KF 202306Project of Social Science Foundation of Jiangsu Province in 2021 21YSB011
6 · The paper itself

Abstract

Urban lakes commonly suffer from nutrient over-enrichment, resulting in water quality deterioration and eutrophication. Constructed wetlands are widely employed for ecological restoration in such lakes but their efficacy in water purification noticeably fluctuates with the seasons. This study takes the constructed wetland of Jinshan Lake as an example. By analyzing the water quality parameters at three depths during both summer and winter, this study explores the influence of the constructed wetland on the water quality of each layer during different seasons and elucidates the potential mechanisms underlying these seasonal effects. The results indicate that the constructed wetland significantly enhances total nitrogen (TN) concentration during summer and exhibits the capacity for nitrate-nitrogen removal in winter. However, its efficacy in removing total phosphorus (TP) is limited, and may even serve as a potential phosphorus (P) source for the lake during winter. Water quality test results of different samples indicated they belong to Class III or IV. Restrictive factors varied across seasons: nitrate-nitrogen and BOD

Indexed as

chlorophyll-aconstructed wetlandnitrogenphosphorusseasonal influencewater depthwater quality

Identifiers

PMID39194531
PMCPMC11351642

What OpenQuestion holds

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LicenceCC BY
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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.