在沉积极限下下水道中悬浮沉积物的迁移

IF 1.6 3区环境科学与生态学 Q3 WATER RESOURCES

Urban Water Journal Pub Date : 2023-04-28 DOI:10.1080/1573062X.2023.2207085

Carlos Montes, Laura Henao, Carlos Angarita

{"title":"在沉积极限下下水道中悬浮沉积物的迁移","authors":"Carlos Montes, Laura Henao, Carlos Angarita","doi":"10.1080/1573062X.2023.2207085","DOIUrl":null,"url":null,"abstract":"ABSTRACT This note proposes a new formula for predicting the self-cleansing velocity of suspended particles in sewer pipes. Dimensional analysis is carried out to develop a new equation based on sediment and hydraulic characteristics. Model performance is tested using experimental data collected at laboratory scale and benchmarking data from the literature. The accuracy of the developed formula is evaluated with the Coefficient of Determination (R2), the Mean Absolute Percentage Error (MAPE) and the Root Mean Squared Error (RMSE). Results demonstrate that the proposed equation is able to predict the particle Froude number and hence the self-cleansing velocity for a wide range of variations of sediment concentration, particle diameter, and hydraulic characteristics.","PeriodicalId":49392,"journal":{"name":"Urban Water Journal","volume":"20 1","pages":"616 - 623"},"PeriodicalIF":1.6000,"publicationDate":"2023-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Suspended sediment transport in sewers at limit of deposition\",\"authors\":\"Carlos Montes, Laura Henao, Carlos Angarita\",\"doi\":\"10.1080/1573062X.2023.2207085\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT This note proposes a new formula for predicting the self-cleansing velocity of suspended particles in sewer pipes. Dimensional analysis is carried out to develop a new equation based on sediment and hydraulic characteristics. Model performance is tested using experimental data collected at laboratory scale and benchmarking data from the literature. The accuracy of the developed formula is evaluated with the Coefficient of Determination (R2), the Mean Absolute Percentage Error (MAPE) and the Root Mean Squared Error (RMSE). Results demonstrate that the proposed equation is able to predict the particle Froude number and hence the self-cleansing velocity for a wide range of variations of sediment concentration, particle diameter, and hydraulic characteristics.\",\"PeriodicalId\":49392,\"journal\":{\"name\":\"Urban Water Journal\",\"volume\":\"20 1\",\"pages\":\"616 - 623\"},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2023-04-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Urban Water Journal\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://doi.org/10.1080/1573062X.2023.2207085\",\"RegionNum\":3,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"WATER RESOURCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Urban Water Journal","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1080/1573062X.2023.2207085","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"WATER RESOURCES","Score":null,"Total":0}

引用次数: 0

摘要

摘要本文提出了一个预测污水管道中悬浮粒子自净速度的新公式。通过量纲分析，建立了一个基于泥沙和水力特性的新方程。使用在实验室规模收集的实验数据和文献中的基准数据对模型性能进行测试。用决定系数(R2)、平均绝对百分比误差(MAPE)和均方根误差(RMSE)来评价所建立公式的准确性。结果表明，所提出的方程能够预测颗粒的弗劳德数，从而预测泥沙浓度、颗粒直径和水力特性大范围变化的自净速度。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Suspended sediment transport in sewers at limit of deposition

ABSTRACT This note proposes a new formula for predicting the self-cleansing velocity of suspended particles in sewer pipes. Dimensional analysis is carried out to develop a new equation based on sediment and hydraulic characteristics. Model performance is tested using experimental data collected at laboratory scale and benchmarking data from the literature. The accuracy of the developed formula is evaluated with the Coefficient of Determination (R2), the Mean Absolute Percentage Error (MAPE) and the Root Mean Squared Error (RMSE). Results demonstrate that the proposed equation is able to predict the particle Froude number and hence the self-cleansing velocity for a wide range of variations of sediment concentration, particle diameter, and hydraulic characteristics.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Urban Water Journal WATER RESOURCES-

CiteScore

4.40

自引率

11.10%

发文量

101

审稿时长

3 months

期刊介绍： Urban Water Journal provides a forum for the research and professional communities dealing with water systems in the urban environment, directly contributing to the furtherance of sustainable development. Particular emphasis is placed on the analysis of interrelationships and interactions between the individual water systems, urban water bodies and the wider environment. The Journal encourages the adoption of an integrated approach, and system''s thinking to solve the numerous problems associated with sustainable urban water management. Urban Water Journal focuses on the water-related infrastructure in the city: namely potable water supply, treatment and distribution; wastewater collection, treatment and management, and environmental return; storm drainage and urban flood management. Specific topics of interest include: network design, optimisation, management, operation and rehabilitation; novel treatment processes for water and wastewater, resource recovery, treatment plant design and optimisation as well as treatment plants as part of the integrated urban water system; demand management and water efficiency, water recycling and source control; stormwater management, urban flood risk quantification and management; monitoring, utilisation and management of urban water bodies including groundwater; water-sensitive planning and design (including analysis of interactions of the urban water cycle with city planning and green infrastructure); resilience of the urban water system, long term scenarios to manage uncertainty, system stress testing; data needs, smart metering and sensors, advanced data analytics for knowledge discovery, quantification and management of uncertainty, smart technologies for urban water systems; decision-support and informatic tools;...