Evidence map›Paper›PMID 34807380›Full record

ArticleEnvironmental science and pollution research international2022

Spatial and temporal characteristics, influencing factors and prediction models of water quality and algae in early stage of Middle Route of South-North Water Diversion Project.

Zheng Jing, Hao Chen, Huiqun Cao, Xianqiang Tang, Yuming Shang, Yuhan Liang, Ping'an Luo, Huiping Luo

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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

0 citing papers in PubMed, 17 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 2 institutions in 1 country.

Zheng JingWatershed Water Environment Institute, Changjiang River Scientific Research Institute, Wuhan, 430010, China.
Hao ChenWatershed Water Environment Institute, Changjiang River Scientific Research Institute, Wuhan, 430010, China.
Huiqun CaoWatershed Water Environment Institute, Changjiang River Scientific Research Institute, Wuhan, 430010, China. caohuiqun@163.com.
Xianqiang TangWatershed Water Environment Institute, Changjiang River Scientific Research Institute, Wuhan, 430010, China.
Yuming ShangConstruction and Administration Bureau of the Middle Route of the South-To-North Water Diversion Project, Beijing, 100038, China.
Yuhan LiangSchool of Hydrology and Water Resources, Hohai University, Nanjing, 210098, China.
Ping'an LuoWatershed Water Environment Institute, Changjiang River Scientific Research Institute, Wuhan, 430010, China.
Huiping LuoWatershed Water Environment Institute, Changjiang River Scientific Research Institute, Wuhan, 430010, China.
Changjiang Water Resources Commission · CNHohai University · CN

Funding

China National Critical Project for Science and Technology on Water Pollution Prevention and Control 2017ZX07108-001Fundamental Research Funds for Central Universities of the Central South University CKSF 2019198/SHFundamental Research Funds for Central Universities of the Central South University CKSF 2019498/SHNational Natural Science Foundation of China 51909009
6 · The paper itself

Abstract

The Middle Route (MR) of the South-to-North Water Diversion Project (SNWDP) of China is one of the world's largest inter-basin water diversion projects. As an important source of drinking water in North China, its water quality safety determines the success or failure of a sizable water supply. At present, there is a lack of in-depth and systematic understanding of the interaction between hydrodynamics and the water environment as well as water ecological processes in the main canal at the early stages of operation. It is not currently possible to accurately predict water quality and algae status at the early stage of canal ecosystem succession. Change trends and distribution characteristics of the main water ecological environment elements in the main canal at the early MR stage are analyzed in this study. The main factors influencing algae are investigated by principal component analysis (PCA) to characterize the water quality and algae transport distribution in the main MR canal under the complex multi-sluice joint dispatching conditions. The relationship between environmental factors, hydrodynamic, water quality, and algae in the coupled canal-sluice system in the SNWDP MR is determined. Algae distributions under different water transmission conditions in a typical canal section are predicted accordingly. COD

Indexed as

RiversWater QualityChinaEcosystemEnvironmental MonitoringPlantsFirst operating periodMulti-sluice joint dispatchingSouth-to-North Water Diversion ProjectSpatial and temporal characteristicsWater quality and algae prediction model

Identifiers

PMID34807380
OpenAlexW3216900163

What OpenQuestion holds

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Registered trials

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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.