Evidence map›Paper›PMID 39198448›Full record

ArticleScientific data2024

A Dataset of Distribution and Characterization of Underground Wastewater Treatment Plants in China.

Shuyan Zhou, Hui Gong, Xiang Chen, Xiankai Wang, Hang Wang, Yanyan Zhang, Danyang Zhu, Xiaoxin Cao, Sen Li, Xiaohu Dai

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific data, 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. 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

10 authors.

Shuyan ZhouCollege of Environmental Science and Engineering, Institute of Carbon Neutrality, State Key Laboratory of Pollution Control and Resources Reuse, Tongji University, Shanghai, 200092, P. R. China.
Hui GongCollege of Environmental Science and Engineering, Institute of Carbon Neutrality, State Key Laboratory of Pollution Control and Resources Reuse, Tongji University, Shanghai, 200092, P. R. China. gonghui001@tongji.edu.cn.ORCID http://orcid.org/0000-0003-3700-143X
Xiang ChenYANGTZE Eco-Environment Engineering Research Centre, China Three Gorges Corporation, Wuhan, 430010, Hubei, P. R. China.
Xiankai WangYANGTZE Eco-Environment Engineering Research Centre, China Three Gorges Corporation, Wuhan, 430010, Hubei, P. R. China.
Hang WangYANGTZE Eco-Environment Engineering Research Centre, China Three Gorges Corporation, Wuhan, 430010, Hubei, P. R. China.
Yanyan ZhangCollege of Environmental Science and Engineering, Institute of Carbon Neutrality, State Key Laboratory of Pollution Control and Resources Reuse, Tongji University, Shanghai, 200092, P. R. China.
Danyang ZhuCollege of Environmental Science and Engineering, Institute of Carbon Neutrality, State Key Laboratory of Pollution Control and Resources Reuse, Tongji University, Shanghai, 200092, P. R. China.
Xiaoxin CaoChina Water Environment Group, Beijing, 101101, P. R. China.
Sen LiSchool of Environmental Science and Engineering, Huazhong University of Science and Technology, Wuhan, 430074, Hubei, P. R. China.
Xiaohu DaiCollege of Environmental Science and Engineering, Institute of Carbon Neutrality, State Key Laboratory of Pollution Control and Resources Reuse, Tongji University, Shanghai, 200092, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Underground wastewater treatment plants (U-WWTPs) have emerged as a novel paradigm for urban wastewater pollutants management, offering benefits such as alleviating the Not-in-my-backyard (NIMBY) effect and utilizing land resources efficiently. China stands at the forefront, witnessing swift advancements in U-WWTP technology and deployment. However, the absence of a thorough understanding of their geographical distribution and operational characteristics could lead to misaligned planning and construction, resulting in inefficient resource allocation and treatment capacities for urban wastewater treatment. This dataset provides an up-to-date overview of the spatial distribution, process selection, and discharge standards for all U-WWTPs in China (with a total number of 201) constructed since 1995. To enhance comparative analysis, the dataset has been supplemented with information on conventional aboveground wastewater treatment plants (A-WWTPs), comprising a total of 2464 records, which enriches a more comprehensive evaluation of different wastewater treatment approaches. Utilizing this dataset can provide essential data support for the strategic management of urban wastewater systems and serve as a valuable reference for the paradigmatic renovation of existing wastewater treatment plants.

Identifiers

PMID39198448
PMCPMC11358491

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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.