Evidence map›Paper›PMID 33409997›Full record

ArticleEnvironmental science and pollution research international2022

Evaluation and prediction of water quality in the dammed estuaries and rivers of Taihu Lake.

Xi Chen, Yanhua Wang, Tian Sun, Yan Chen, Maoheng Zhang, Chun Ye

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2022. 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
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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

6 authors.

Xi ChenSchool of Geography, Nanjing Normal University, Nanjing, 210023, People's Republic of China.
Yanhua WangSchool of Geography, Nanjing Normal University, Nanjing, 210023, People's Republic of China. wangyanhua@njnu.edu.cn.ORCID http://orcid.org/0000-0001-8193-3264
Tian SunSchool of Geography, Nanjing Normal University, Nanjing, 210023, People's Republic of China.
Yan ChenSchool of Geography, Nanjing Normal University, Nanjing, 210023, People's Republic of China.
Maoheng ZhangSchool of Geography, Nanjing Normal University, Nanjing, 210023, People's Republic of China.
Chun YeChinese Research Academy of Environmental Sciences, Beijing, 100012, People's Republic of China.

Funding

Major project of Jiangsu Provincial Department of Education 20KJA170001Major Science and Technology Program for Water Pollution Control and Treatment 2017ZX07203-005National Natural Science Foundation of China 41673107Priority Academic Program Development of Jiangsu Higher Education Institutions 164320H116
6 · The paper itself

Abstract

Proper evaluation of water quality is pertinent to estuarine habitat restoration. Identifying the degrading factors of the water environment and predicting the trend of eutrophication are key to restore the habitat. Through trophic level index (TLI), water quality index (WQI), modified Nemerow pollution index (NPI), and the Random Forest (RF) model, water samples collected from various estuaries of Taihu Lake from 2017 to 2019 were evaluated. To predict the water quality development, four scenarios were set viz. S1: add or remove an ecological buffer, S2: increase or reduce the external nutrients, S3: open or close the dam/gate, and S4: increase or decrease the internal release. In Wuli Lake, the nutrient concentrations in the river regions were higher than in the lake regions, while a contrary trend was observed in Gonghu Bay. The estuarine water quality in the dry season (WQI = 40.91, NPI = 1.73) was merely worse than that in the wet season (WQI = 47.27, NPI = 1.67). On the other hand, the eutrophic status in the wet season (TLI

Indexed as

LakesWater Pollutants, ChemicalChinaEnvironmental MonitoringEstuariesEutrophicationRiversWater QualityWater Pollutants, ChemicalEstuaryPredictionRandom forestTaihu LakeWater quality evaluation

Identifiers

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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.