Yangwei Zhang, Franziska Tügel, Hao Han, J. Hou, R. Hinkelmann
{"title":"Numerical investigation of depth-dependent roughness and infiltration methods in rainfall-runoff experiments","authors":"Yangwei Zhang, Franziska Tügel, Hao Han, J. Hou, R. Hinkelmann","doi":"10.1080/1573062X.2023.2209061","DOIUrl":null,"url":null,"abstract":"ABSTRACT The Hydroinformatics Modeling System (HMS) was used to simulate rainfall-runoff experiments to investigate the impact of different slopes and rainfall intensities for traditional and low-impact development (LID) surface conditions. HMS solves the depth-averaged 2D shallow water equations with robust numerical methods. Most importantly, depth-dependent roughness and depth-dependent infiltration methods are implemented and allow the model to simulate a bunch of scenarios. Calibration and validation results are evaluated based on the criteria of the Nash-Sutcliffe Efficiency (NSE) and Standard Deviation Ratio (SDR). Both, the calibration and validation cases achieve very good agreements between computations and measurements with NSE all higher or equal than 0.97 and SDR all smaller or equal 0.17. The results demonstrate the superiority of the depth-dependent infiltration method when compared to a constant infiltration and the necessity of the depth-dependent roughness approach for accuracy and stability reasons. The methods implemented here might also improve other shallow water models.","PeriodicalId":49392,"journal":{"name":"Urban Water Journal","volume":"20 1","pages":"652 - 664"},"PeriodicalIF":1.6000,"publicationDate":"2023-05-05","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.2023.2209061","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
Abstract
ABSTRACT The Hydroinformatics Modeling System (HMS) was used to simulate rainfall-runoff experiments to investigate the impact of different slopes and rainfall intensities for traditional and low-impact development (LID) surface conditions. HMS solves the depth-averaged 2D shallow water equations with robust numerical methods. Most importantly, depth-dependent roughness and depth-dependent infiltration methods are implemented and allow the model to simulate a bunch of scenarios. Calibration and validation results are evaluated based on the criteria of the Nash-Sutcliffe Efficiency (NSE) and Standard Deviation Ratio (SDR). Both, the calibration and validation cases achieve very good agreements between computations and measurements with NSE all higher or equal than 0.97 and SDR all smaller or equal 0.17. The results demonstrate the superiority of the depth-dependent infiltration method when compared to a constant infiltration and the necessity of the depth-dependent roughness approach for accuracy and stability reasons. The methods implemented here might also improve other shallow water models.
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;...