Evidence map›Paper›PMID 36293633›Full record

ArticleInternational journal of environmental research and public health2022

Comprehensive Assessment of Eutrophication in Xiamen Bay and Its Implications for Management Strategy in Southeast China.

Yang Luo, Jin-Wen Liu, Jian-Wei Wu, Zheng Yuan, Ji-Wei Zhang, Chao Gao, Zhi-Yu Lin

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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.

  1. Review
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

7 authors.

Yang LuoCollege of Environmental Science and Engineering, Ocean University of China, Qingdao 266100, China.
Jin-Wen LiuThird Institute of Oceanography, Ministry of Natural Resources, Xiamen 361005, China.
Jian-Wei WuThird Institute of Oceanography, Ministry of Natural Resources, Xiamen 361005, China.
Zheng YuanThird Institute of Oceanography, Ministry of Natural Resources, Xiamen 361005, China.
Ji-Wei ZhangThird Institute of Oceanography, Ministry of Natural Resources, Xiamen 361005, China.
Chao GaoThird Institute of Oceanography, Ministry of Natural Resources, Xiamen 361005, China.
Zhi-Yu LinXiamen Environmental Monitor Station, Xiamen 361021, China.

Funding

National Key Research and Development Program 2019YFD0901105National Science Foundation of Fujian Province, China 2018J01062Scientific Research Foundation of Third Institute of Oceanography No.2020015
6 · The paper itself

Abstract

The eutrophication of coastal water has been a critical environmental problem in China's offshore areas. How to effectively assess the status of coastal waters is key for pollution treatment and environmental protection. In recent years, eutrophication-symptom-based and multi-indicator methods, termed "phase II" methods, have been gradually adopted to assess the eutrophication status in some coastal waters in China and have achieved success. The cumulative quantile is typically selected to determine the characteristic value of an indicator in "phase II" methods. The influence of small-scale damaged water bodies on eutrophication assessment may be exaggerated, which often leads to the overassessment of the eutrophication status. In this study, the area ratio method was integrated into the assessment of the estuarine trophic status (ASSETS) method in order to assess the eutrophication status of Xiamen Bay in 2016. The results indicated that, in 2016, the eutrophication status of Xiamen Bay coastal waters was moderate and exhibited spatiotemporal variation. The area ratio method can effectively reduce the effect of small-scale coastal waters with extremely high eutrophication on the overassessment of eutrophication at the broader scale, allowing the eutrophication status to be better reflected, even with limited observation data. The centralized distribution of pollution sources and poor hydrodynamic conditions are the main reasons for the aforementioned phenomenon. Controlling the pollution discharge from the Jiulong River in flood seasons is key to reducing eutrophication in Xiamen coastal waters.

Indexed as

BaysEnvironmental MonitoringChinaEutrophicationRiversWaterWaterarea ratio methodASSETScoastal eutrophication“phase II” methodsXiamen Bay

Identifiers

PMID36293633
PMCPMC9602762

What OpenQuestion holds

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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.