Evidence map›Paper›PMID 30787320›Full record

ArticleScientific reports2019

A vegetation configuration pattern with a high-efficiency purification ability for TN, TP, AN, AP, and COD based on comprehensive assessment results.

Guirong Hou, Huaxing Bi, Xinxiao Yu, Guodong Jia, Dandan Wang, Zhenyao Zhang, Ziqiang Liu

Abstract read
In one paragraph

Article in Scientific reports, 2019. 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

7 authors.

Guirong HouCollege of Soil and Water Conservation, Beijing Forestry University, 100083, Beijing, China.
Huaxing BiCollege of Soil and Water Conservation, Beijing Forestry University, 100083, Beijing, China. bhx@bjfu.edu.cn.
Xinxiao YuCollege of Soil and Water Conservation, Beijing Forestry University, 100083, Beijing, China.
Guodong JiaCollege of Soil and Water Conservation, Beijing Forestry University, 100083, Beijing, China.
Dandan WangCollege of Soil and Water Conservation, Beijing Forestry University, 100083, Beijing, China.
Zhenyao ZhangCollege of Soil and Water Conservation, Beijing Forestry University, 100083, Beijing, China.
Ziqiang LiuCollege of Soil and Water Conservation, Beijing Forestry University, 100083, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To identify a vegetation configuration pattern with a high-efficiency purification ability for total nitrogen (TN), available nitrogen (AN), total phosphorous (TP), available phosphorous (AP), and chemical oxygen demand (COD) based on comprehensive assessment results, a water discharge experiment was performed in the Luan River in China with the following riparian forests: I, pure broad-leaved; II, mixed broad-leaved; III, mixed coniferous and broad-leaved; IV, mixed coniferous; and V, pure coniferous. From the riparian buffer zone to the river channel, the evaluation showed that pattern I had the highest purification ability at 1 m and 2 m; at a width of 4 m, pattern III had the highest purification ability; at a distance of 7 m, pattern V showed the highest purification ability; at 10 m, pattern IV showed the highest purification ability, pattern II the lowest. It is advisable to give priority to plant coniferous species from 0 m to 4 m from the river bank, while it is advisable to give priority to plant broad-leaved species from 4 m to 10 m from the river bank. We therefore recommend these vegetation configuration patterns in the development and management of runoff purification systems.

Indexed as

Biological Oxygen Demand AnalysisWater PurificationChinaForestsHumansNitrogenPhosphorusPlantsRiversWaterWetlandsNitrogenPhosphorusWater

Identifiers

PMID30787320
PMCPMC6382793

What OpenQuestion holds

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Registered trials

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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.