Evidence map›Paper›PMID 33410040›Full record

ArticleEnvironmental science and pollution research international2021

Effects of hydrological change on the risk of riverine algal blooms: case study in the mid-downstream of the Han River in China.

Lisha Shen, Ming Dou, Rui Xia, Guiqiu Li, Baiheng Yang

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2021. 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
3.2field-weighted citation impact, top 9% 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

2 citing papers in PubMed, 31 citations in OpenAlex.

  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

5 authors at 2 institutions in 1 country.

Lisha ShenSchool of Water Conservancy Science and Engineering, Zhengzhou University, Zhengzhou, 450001, China.
Ming DouSchool of Water Conservancy Science and Engineering, Zhengzhou University, Zhengzhou, 450001, China. douming@zzu.edu.cn.ORCID http://orcid.org/0000-0002-4981-350X
Rui XiaState Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China.
Guiqiu LiSchool of Water Conservancy Science and Engineering, Zhengzhou University, Zhengzhou, 450001, China.
Baiheng YangSchool of Water Conservancy Science and Engineering, Zhengzhou University, Zhengzhou, 450001, China.
Zhengzhou University · CNChinese Research Academy of Environmental Sciences · CN

Funding

National Natural Science Foundation of China 51679218, 51879239, 51879252, 51709238the Outstanding Young Talent Research Fund of Zhengzhou University 1521323001
6 · The paper itself

Abstract

Algal blooms usually occur in semi-closed water bodies such as lakes or estuaries; however, it has occurred frequently in the mid-downstream of the Han River (MSHR) in China since the 1990s. We made a comparative analysis of the hydrological conditions and identified the hydrological condition thresholds that induce algal blooms. From the hydrodynamic point of view, the changes and characteristics of the hydrological conditions in the MSHR were analyzed. Furthermore, the influence on the risk of algal blooms under different design water transfer schemes for the middle route of the South-to-North Water Diversion Project (SNWDP) was studied. The results indicated that (1) the flow in the MSHR less than 900 m

Indexed as

Environmental MonitoringEutrophicationChinaHydrologyRiversHydrological condition changeHydrological condition characteristicsHydrological inducement of bloom outbreakRisk of river algal bloomsRiver algal bloomsThe limiting thresholds of hydrological factors

Identifiers

PMID33410040
OpenAlexW3118626458

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.