Evidence map›Paper›PMID 31784839›Full record

ArticleWorld journal of microbiology & biotechnology2019

Dynamics of nitrogen transformation and bacterial community with different aeration depths in malodorous river.

Jinghan Chen, Yan He, Jianhua Wang, Minsheng Huang, Cuixiang Guo

Abstract read
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In one paragraph

Article in World journal of microbiology & biotechnology, 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.

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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

5 authors.

Jinghan ChenShanghai Key Laboratory of Urbanization and Ecological Restoration, School of Ecological and Environmental Sciences, Institute of Eco-Chongming, East China Normal University, 500 Dongchuan Road, Shanghai, 200241, China.
Yan HeShanghai Key Laboratory of Urbanization and Ecological Restoration, School of Ecological and Environmental Sciences, Institute of Eco-Chongming, East China Normal University, 500 Dongchuan Road, Shanghai, 200241, China. yhe@des.ecnu.edu.cn.
Jianhua WangShanghai Key Laboratory of Urbanization and Ecological Restoration, School of Ecological and Environmental Sciences, Institute of Eco-Chongming, East China Normal University, 500 Dongchuan Road, Shanghai, 200241, China.
Minsheng HuangShanghai Key Laboratory of Urbanization and Ecological Restoration, School of Ecological and Environmental Sciences, Institute of Eco-Chongming, East China Normal University, 500 Dongchuan Road, Shanghai, 200241, China.
Cuixiang GuoThe Guangxi Key Laboratory of Theory and Technology for Environmental Pollution Control, Guilin, 541004, China.

Funding

National Natural Science Foundation of China 41877477Natural Science Foundation of Shanghai 16ZR1408800Research Funds of The Guangxi Key Laboratory of Theory and Technology for Environmental Pollution Control 1701K005Shanghai Pujiang Talent Program 16PJD023Shanghai Science and Technology Development Foundation 18DZ1203806
6 · The paper itself

Abstract

In this research, the dynamics of nitrogen transformation and bacterial community in malodorous river were investigated with different aeration depths. Computational flow dynamics (CFD) and Reynolds number (Re) were specially used to characterize the hydrodynamics condition under different aeration depths. The results indicated that aeration depth had vital impact on nitrogen transformation and bacterial community structure. It was found that a range of aeration depth (0.20-0.45 m above sediment-water interface) facilitated the removal of NH

Indexed as

BacteriaChinaGeologic SedimentsMicrobiotaNitrogenOxygenPhylogenyRiversRNA, Ribosomal, 16SSulfurNitrogenOxygenRNA, Ribosomal, 16SSulfurAeration depthBacteriaComputational flow dynamicsDissolved oxygenMalodorous river sedimentsNitrogen

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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.