Evidence map›Paper›PMID 36193404›Full record

ArticleJournal of environmental and public health2022

Migration and Deposition Law of Pollutants in Urban Sewage Confluence Pipe Network from the Perspective of Ecology.

Shan Hua, Xingwang Pei, Wenlong Li, Hanlie Cheng, Hailian Zhao, David Sturdivant

RetractedOpen access · hybridAbstract readRetracted Publication
In one paragraph

Article in Journal of environmental and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 39% of its field
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, 7 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 3 countries.

Shan HuaCollege of Civil Engineering, Xi'an University of Architecture & Technology, Xi'an Shaanxi 710055, China.
Xingwang PeiCollege of Civil Engineering, Xi'an University of Architecture & Technology, Xi'an Shaanxi 710055, China.
Wenlong LiCollege of Civil Engineering, Xi'an University of Architecture & Technology, Xi'an Shaanxi 710055, China.
Hanlie ChengSchool of Energy Resource, China University of Geosciences (Beijing), Beijing 434000, China.ORCID 0000-0003-4080-8373
Hailian ZhaoSchool of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China.
David SturdivantThe King's School, BP1560, Bujumbura, Burundi.ORCID 0000-0001-8976-686X
Xi'an University of Architecture and Technology · CNBeijing Forestry University · CNChina University of Geosciences (Beijing) · CNThe King's College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aiming at the problem of pollutant migration and deposition in urban sewage confluence pipe, an experimental simulation system of sewage confluence pipe was established. The confluence conditions of three flow patterns (velocity ratio Vaccess/Vtrunk = 0.1/0.2, Vaccess/Vtrunk = 0.1/0.3, and Vaccess/Vtrunk = 0.2/0.3) were simulated. The changes of sediment thickness, carbon pollutants, nitrogen pollutants, and phosphorus pollutants in different confluence areas were analyzed, and the migration and deposition laws of various pollutants in urban sewage confluence pipe network under different flow patterns were revealed. The results show that when the flow velocity of trunk and branch roads changes, the deposition of various pollutants and the carrying capacity of water flow in the pipeline change, resulting in the change of sediment layer thickness and pollutant content. With the increase of trunk velocity, the sediment thickness in the area before and after confluence decreases, while the increase of branch velocity only reduces the sediment thickness in the area at the back of confluence. Under any flow pattern, the sediment thickness in the retention area (G3 and G4) shows an increasing trend, which is the key area of pollution removal. Under the three flow patterns, the content of carbon pollutants reaches the peak at the TCOD and SCOD values of G4 monitoring point. Increasing the trunk velocity can effectively reduce the content of carbon pollutants. The content of nitrogen pollutants in each flow pattern also reaches the maximum at G4 point, which are 213.6 mg/g, 205.2 mg/g, and 212.8 mg/g, respectively. Increasing the trunk velocity can effectively reduce the nitrogen content at points G1-G4, while increasing the flow velocity of the branch road can reduce the nitrogen content at points G5-G7. The distribution of phosphorus pollutants is complex, and the flow pattern needs to be adjusted according to different monitoring points.

Indexed as

Environmental PollutantsWater Pollutants, ChemicalCarbonNitrogenPhosphorusSewageWaterCarbonEnvironmental PollutantsNitrogenPhosphorusSewageWaterWater Pollutants, Chemical

Identifiers

PMID36193404
PMCPMC9526553
OpenAlexW4296461191

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.