Evidence map›Paper›PMID 39244628›Full record

ArticleScientific reports2024

Prediction of water level at Huayuankou station based on rating curve.

Ming Li, Zhao Zheng, Chaojie Niu, Liyu Quan, Chengshuai Liu, Xiang Li, Chen Shi, Dongyang Li, Lianjun Zhao, Shasha Han and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

0 citing papers in PubMed.

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

11 authors.

Ming LiSchool of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou, 450001, China.
Zhao ZhengHenan Yellow River Engineering and Consulting Co., LTD, Zhengzhou, 450003, China.
Chaojie NiuSchool of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou, 450001, China. 202021221010285@gs.zzu.edu.cn.
Liyu QuanSchool of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou, 450001, China.
Chengshuai LiuSchool of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou, 450001, China.
Xiang LiSchool of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou, 450001, China.
Chen ShiSchool of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou, 450001, China.
Dongyang LiHenan Yellow River Engineering and Consulting Co., LTD, Zhengzhou, 450003, China.
Lianjun ZhaoYellow River Institute of Hydraulic Research, YRCC, Zhengzhou, 450003, China.
Shasha HanYellow River Institute of Hydraulic Research, YRCC, Zhengzhou, 450003, China.
Caihong HuSchool of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou, 450001, China. hucaihong@zzu.edu.cn.

Funding

Outstanding Youth scientific research project of Yellow River Conservancy Commission of the Ministry of Water Resources HQK-202302The National Natural Science Foundation of China Project No. U2243219
6 · The paper itself

Abstract

The construction of large reservoirs has modified the process of water and sediment transport downstream, resulting in changes in the morphology of the river cross-section. Changes in water and sand transport and cross-sectional morphology are reflected in the rating curve at the cross-section. This study analyzed the variations in the rating curve at the Huayuankou (HYK) section and their influencing factors, and conducted water level predictions based on this relationship. The findings revealed that while the annual mean water level has shown a declining tendency over the past 20 years, the annual mean discharge has shown a constant pattern. The rating curve at this stretch narrowed from a rope-loop type curve in its natural condition to a more stable single curve as a result of the construction of the dam upstream of the HYK section. The effect of pre-flood section morphology and the water-sediment process on the scattering degree of the rating curve is inverse; increasing roughness and hydraulic radius decreases scattering degree, while increasing sand content and sand transport rate increases scattering degree. Using the measured data from 2020 as an example, the feasibility of predicting cross-sectional water levels using the rating curve was verified. The prediction results were accurate when the flow was between 1000 and 2800 m

Indexed as

Cross-sectional morphologyHuayuankouRating curveWater level prediction

Identifiers

PMID39244628
PMCPMC11380677

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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.