Evidence map›Paper›PMID 31396868›Full record

ArticleEnvironmental science and pollution research international2019

Lateral distribution of sediment and phosphorus in a two-stage ditch with partial emergent vegetation on the floodplain.

Yu Bai, Yuhong Zeng

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2019. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Research on heavy metal release with suspended sediment in Taihu Lake under hydrodynamic condition.Environmental science and pollution research international · 2022
    Article
  3. The vertical distribution of suspended sediment and phosphorus in a channel with ice cover.Environmental science and pollution research international · 2021
    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

2 authors.

Yu BaiSchool of Water Resources and Hydropower Engineering, Wuhan University, Wuhan, 430072, China.
Yuhong ZengSchool of Water Resources and Hydropower Engineering, Wuhan University, Wuhan, 430072, China. yhzeng@whu.edu.cn.ORCID http://orcid.org/0000-0003-2423-0815

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Two-stage channels are effective drainage facilities because they can decrease soil erosion and nutrient loss effectively. The lateral distribution of streamwise velocity in two-stage channels has been substantially studied. However, knowledge about the lateral distribution of sediment and phosphorus in two-stage channels with emergent vegetation on the floodplain are limited. In this work, flume experiments were conducted to investigate the relationship between current and transport of sediment and phosphorus. Results show that lateral distributions of total suspended sediment (TSS), particulate phosphorus (PP), and dissolved phosphorus (DP) are affected by the lateral variation of streamwise velocity, i.e., larger TSS and DP were found in the main channel, while larger PP appeared in the floodplain. Besides, theoretical models for the lateral distribution of TSS and DP were presented. Three models were adopted to predict the depth-averaged streamwise velocity, and corresponding results have been used to predict the TSS and DP. Comparisons indicated that with a high-precision velocity model, the newly presented analytical models can give satisfied predictions of the lateral distributions of TSS and DP.

Indexed as

Models, TheoreticalPhosphorusSoilPhosphorusSoilDissolved phosphorusParticulate phosphorusStreamwise velocityTotal suspended sedimentTwo-stage channelVegetation

Identifiers

What OpenQuestion holds

Textmetadata
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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.