盐实验与经验时间浓度方程的比较

IF 1.1 4区 工程技术 Q3 ENGINEERING, CIVIL Proceedings of the Institution of Civil Engineers-Water Management Pub Date : 2019-05-01 DOI:10.1680/JWAMA.17.00048
A. Azizian
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引用次数: 7

摘要

在许多水文模型中,浓度时间(Tc)是评价流域对降雨事件的响应和估计洪峰的最重要参数之一。利用盐稀释示踪法得到的Tc值,对36个浓度方程进行了评价。此外,采用层次聚类分析(CA)来识别所有Tc公式之间的相似程度,并将其分类为若干组。基于伊朗梅梅河流域7个子流域的研究结果表明,pick、Pickering、DNOS、California和Kirpich-Ten方程提供了可靠的Tc估计;这些公式的平均偏差在2.6 ~ 15 min之间,而所有36个方程的偏差都在2.6 ~ 138.2 min之间。此外,基于CA,将所有Tc方程分为四个整体组,每组中成员之间的相似性最大。
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Comparison of salt experiments and empirical time of concentration equations
The time of concentration (Tc) is one of the most contributing parameters for assessing the response of a catchment to rainfall events and estimating the peak flood in many hydrological models. The aim of this work was to evaluate 36 time of concentration equations based on Tc values obtained based on the salt dilution tracing approach. In addition, hierarchical cluster analysis (CA) was applied to identify the degree of similarity between all the Tc formulas and categorise them into several groups. The findings, based on seven sub-watersheds of the Meime river basin in Iran, demonstrate that the Picking, Pickering, DNOS, California and Kirpich-Ten equations provide reliable estimation of Tc; the average bias of these formulas was found to be in the range 2·6–15 min while, for all 36 equations, the bias was 2·6–132·8 min. Furthermore, based on CA, all Tc equations were categorised into four overall groups with the maximum similarity within the members of each group.
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来源期刊
CiteScore
2.10
自引率
0.00%
发文量
28
审稿时长
6-12 weeks
期刊介绍: Water Management publishes papers on all aspects of water treatment, water supply, river, wetland and catchment management, inland waterways and urban regeneration. Topics covered: applied fluid dynamics and water (including supply, treatment and sewerage) and river engineering; together with the increasingly important fields of wetland and catchment management, groundwater and contaminated land, waterfront development and urban regeneration. The scope also covers hydroinformatics tools, risk and uncertainty methods, as well as environmental, social and economic issues relating to sustainable development.
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