AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (1.6 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Publishing Language: Chinese

Study on river pollution confluence based on Muskingum method

Youlin LI1Feng YANG2Guosong FEI3Jinning WU3Feiyan SHAO3Wenjie ZHU3Chuanhai WANG1,4( )Gang CHEN1,4
College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China
Zhejiang Zhongshui Engineering Technology Co., Ltd., Hangzhou 310017, China
Changzhou Branch of Jiangsu Hydrology and Water Resources Survey Bureau, Changzhou 213022, China
The National Key Laboratory of Water Disaster Prevention, Hohai University, Nanjing 210098, China
Show Author Information

Abstract

To address the issues of the large amount of data required and the high difficulty in obtaining data during the modeling process of hydrodynamic water quality models, a method based on hydrological approaches for solving the basic equations of one-dimensional water quality models was proposed. This method substituted river topography and flow velocity data with Muskingum method parameters K and X for river confluence in hydrology. Moreover, coupled with the basic equations of the one-dimensional water quality model, a river pollution confluence model based on the Muskingum method was developed. Since taking a constant value for K is unreasonable for calculating pollutant propagation time in the developed model, the functions of K and X relative to flow rate Q were derived to solve this problem, and the nonlinear Muskingum model was coupled with the one-dimensional water quality model to build a river pollution confluence model based on the nonlinear Muskingum method. The verification results of the Dapuling-Changtaiguan section of the upper reaches of the Huai River show that the river pollution confluence model based on the nonlinear Muskingum method has ensured accurate prediction of peak time compared with the river pollution confluence model based on the Muskingum method. At the same time, the deterministic coefficient of the pollutant mass concentration prediction results has been increased by 0.04, the root mean square error has been reduced by 0.07 mg/L, and the average absolute error has been decreased by 0.022 mg/L.

CLC number: P333 Document code: A Article ID: 1000-1980(2025)06-0057-08

References

【1】
【1】
 
 
Journal of Hohai University (Natural Sciences)
Pages 57-64

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
LI Y, YANG F, FEI G, et al. Study on river pollution confluence based on Muskingum method. Journal of Hohai University (Natural Sciences), 2025, 53(6): 57-64. https://doi.org/10.3876/j.issn.1000-1980.2025.06.007

294

Views

0

Downloads

0

Crossref

0

Scopus

0

CSCD

Received: 01 September 2024
Published: 25 November 2025
© 2025 Journal of Hohai University (Natural Sciences)