Evidence map›Paper›PMID 32488718›Full record

ArticleEnvironmental science and pollution research international2020

Response of the nitrogen load and its driving forces in estuarine water to dam construction in Taihu Lake, China.

Xi Chen, Yanhua Wang, Zucong Cai, Maoheng Zhang, Chun Ye

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental science and pollution research international, 2020. 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
2.1field-weighted citation impact, top 15% of its field
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, 31 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Evaluation and prediction of water quality in the dammed estuaries and rivers of Taihu Lake.Environmental science and pollution research international · 2022
    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

5 authors at 2 institutions in 1 country.

Xi ChenSchool of Geography, Nanjing Normal University, Nanjing, 210023, China.
Yanhua WangSchool of Geography, Nanjing Normal University, Nanjing, 210023, China. wangyanhua@njnu.edu.cn.ORCID http://orcid.org/0000-0001-8193-3264
Zucong CaiSchool of Geography, Nanjing Normal University, Nanjing, 210023, China.
Maoheng ZhangSchool of Geography, Nanjing Normal University, Nanjing, 210023, China.
Chun YeChinese Research Academy of Environmental Sciences, Beijing, 100012, China. yechbj@163.com.
Nanjing Normal University · CNChinese Research Academy of Environmental Sciences · CN

Funding

National Basic Research Program of China (973 Program) 2014CB953801National Major Science and Technology Projects of China 2017ZX07203-005National Natural Science Foundation of China 41673107Priority Academic Program Development of Jiangsu Higher Education Institutions 164320H116
6 · The paper itself

Abstract

To regulate the water level and minimize the occurrence of water eutrophication in shallow lakes, dams and gates are often constructed in rivers. However, this practice may result in a deterioration of water quality in some estuaries. In the present study, using the correction of Nemerow pollution index (CNPI) and a redundancy analysis (RDA), water samples from different dammed rivers around Taihu Lake were compared to assess the pollution risk and identify the factors responsible for water eutrophication. The average total nitrogen (TN), total phosphorus (TP), total organic carbon (TOC) concentrations, and chemical oxygen demand (COD

Indexed as

LakesChinaEnvironmental MonitoringEutrophicationNitrogenPhosphorusWaterWater Pollutants, ChemicalNitrogenPhosphorusWaterWater Pollutants, ChemicalDam constructionNemerow pollution indexNitrogen loadRedundancy analysisTaihu Lake

Identifiers

PMID32488718
OpenAlexW3032337957

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.