Evidence map›Paper›PMID 38407658›Full record

ArticleEnvironmental monitoring and assessment2024

Microbial entropy change and external dissipation process of urban sewer ecosystem.

Yonggang Gu, Pengkang Jin, Xuan Shi, Xiaochang Wang

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental monitoring and assessment, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Assessing entropy changes in urban sewer systems during pollutant degradation.Water science and technology : a journal of the International Association on Water Pollution Research · 2025
    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

4 authors.

Yonggang GuSchool of Environmental and Municipal Engineering, Xi'an University of Architecture and Technology, Shaanxi Province, Xi'an, 710055, China.
Pengkang JinSchool of Human Settlements and Civil Engineering, Xi'an Jiaotong University, Shaanxi Province, Xi'an, 710049, China. Pkangjin@163.com.
Xuan ShiSchool of Human Settlements and Civil Engineering, Xi'an Jiaotong University, Shaanxi Province, Xi'an, 710049, China.
Xiaochang WangSchool of Environmental and Municipal Engineering, Xi'an University of Architecture and Technology, Shaanxi Province, Xi'an, 710055, China.

Funding

Major Science and Technology Program for Water Pollution Control and Treatment 2012ZX07313-001-01
6 · The paper itself

Abstract

As the initial stage of the sewage treatment system, the degradation of pollutants inevitably involves an entropy change process. Microorganisms play a vital role, where they interact with pollutants and constantly adjust own ecosystem. However, there is a lack of research on the entropy change and external dissipation processes within the sewer system. In this study, considering the characteristics of microbial population changes in the biofilm within the urban sewage pipe network, entropy theory is applied to characterize the attributes of different microorganisms. Through revealing the entropy change of the microbial population and chemical composition, a coupling relationship between the functional bacteria diversity, organic substances composition, and external dissipation in the pipeline network is proposed. The results show that the changes of nutrient availability, microbial community structure, and environmental conditions all affect the changes of information entropy in the sewer network. This study is critical for assessing the understanding of ecological dynamics and energy flows within these systems and can help researchers and operation managers develop strategies to optimize wastewater treatment processes, mitigate environmental impacts, and promote sustainable management practices.

Indexed as

EcosystemEnvironmental PollutantsEntropyEnvironmental MonitoringSewageEnvironmental PollutantsSewageChemical compositionInformation entropyMicrobial population changesPollutant degradationUrban sewer system

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.