Evidence map›Paper›PMID 38787088›Full record

ArticleToxics2024

Emerging Contaminants in the Effluent of Wastewater Should Be Regulated: Which and to What Extent?

Weiwei Yang, Qingwei Bu, Qianhui Shi, Ruiqing Zhao, Haitao Huang, Lei Yang, Jianfeng Tang, Yuning Ma

Abstract read
In one paragraph

Article in Toxics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Perovskites in Environmental and Energy Catalysis: Transitioning From Lead-Based to Lead-Free Architectures.Chemphyschem : a European journal of chemical physics and physical chemistry · 2026
    Review
  2. Article
  3. Article
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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

8 authors.

Weiwei YangSchool of Chemical & Environmental Engineering, China University of Mining & Technology-Beijing, Beijing 100083, China.
Qingwei BuSchool of Chemical & Environmental Engineering, China University of Mining & Technology-Beijing, Beijing 100083, China.ORCID 0000-0002-3137-4799
Qianhui ShiSchool of Chemical & Environmental Engineering, China University of Mining & Technology-Beijing, Beijing 100083, China.
Ruiqing ZhaoSchool of Chemical & Environmental Engineering, China University of Mining & Technology-Beijing, Beijing 100083, China.
Haitao HuangSchool of Chemical & Environmental Engineering, China University of Mining & Technology-Beijing, Beijing 100083, China.
Lei YangState Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
Jianfeng TangKey Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China.ORCID 0000-0002-9578-616X
Yuning MaCollege of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China.

Funding

Jiangsu Province Ecology and Environment Protection Key Laboratory of Groundwater Monitoring, Surveillance, and forewarning of Pollution GWKL2204National Natural Science Foundation of China 21777188National Natural Science Foundation of China 42277406
6 · The paper itself

Abstract

Effluent discharged from urban wastewater treatment plants (WWTPs) is a major source of emerging contaminants (ECs) requiring effective regulation. To this end, we collected discharge datasets of pharmaceuticals (PHACs) and endocrine-disrupting chemicals (EDCs), representing two primary categories of ECs, from Chinese WWTP effluent from 2012 to 2022 to establish an exposure database. Moreover, high-risk ECs' long-term water quality criteria (LWQC) were derived using the species sensitivity distribution (SSD) method. A total of 140 ECs (124 PHACs and 16 EDCs) were identified, with concentrations ranging from N.D. (not detected) to 706 μg/L. Most data were concentrated in coastal regions and Gansu, with high ecological risk observed in Gansu, Hebei, Shandong, Guangdong, and Hong Kong. Using the assessment factor (AF) method, 18 high-risk ECs requiring regulation were identified. However, only three of them, namely carbamazepine, ibuprofen, and bisphenol-A, met the derivation requirements of the SSD method. The LWQC for these three ECs were determined as 96.4, 1010, and 288 ng/L, respectively. Exposure data for carbamazepine and bisphenol-A surpassed their derived LWQC, indicating a need for heightened attention to these contaminants. This study elucidates the occurrence and risks of ECs in Chinese WWTPs and provides theoretical and data foundations for EC management in urban sewage facilities.

Indexed as

China’s WWTPsemerging contaminantsriskSSDwater quality criteria

Identifiers

PMID38787088
PMCPMC11125804

What OpenQuestion holds

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LicenceCC BY
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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.