Experimental and numerical assessment of initial abstraction values in Eastern Ontario

安大略省东部初始抽水值的实验和数值评估

• 批准号: 530914-2018
• 负责人: Seidou, Ousmane
• 金额: $ 1.82万
• 依托单位: University of Ottawa
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=664691
• 关键词: Experimental; numerical; assessment; initial; abstraction

Low Impact Developments (LID's) refers to an ensemble of techniques that reduce runoff from construction**sites by creating additional onsite storage and/or by promoting infiltration. the use of LIDs has become the**standard design practice for new storm-water management systems. Several LID techniques are known to**increase the amount of water stored on the site at the beginning of rainfall events using various mechanism.**The amount of water captured at the beginning of storm events is called initial abstraction (Ia). Its magnitude is**controlled by several factors such as land use, soil type and the presence or not of LID infrastructures in the**flow path. A challenge in the estimation of the performance of a given LID is the accurate estimation of the**initial abstraction given the specific configuration of the site. A number of typical values (and diverging) can**be found in the literature but there is a clear need for a methodology a better estimation of Ia.A literature**review suggests that there is room for non-linear approach to predict for new approaches that can lead to more**precise estimations of Ia. The objective of thus research project is to collect experimental data for a more**accurate estimation of Ia under different types of trees. The results will be implemented in a hydrological**modelling software (SWMMHYMO) to better simulate runoff in presence of LID strictures. A better**estimation of Ia will lead to more cost-efficient designs that could better replicate post-development conditions**without the need for excess calibration and various data series.

低影响的开发（LID）是指通过创建额外的现场存储和/或促进渗透来减少建筑**站点的径流的一系列技术。盖子的使用已成为新的雨水管理系统的**标准设计实践。已知有几种盖技术可以**增加降雨事件开始时使用各种机制在现场存储的水量。**暴风雨事件开始时捕获的水量称为初始抽象（IA）。它的大小由**流道中的盖子基础设施等多种因素控制。鉴于该位点的特定配置，对给定盖的性能估计的挑战是对**初始抽象的准确估计。在文献中可以找到许多典型的值（和分歧）**，但是显然需要更好地估计IA的方法。文献**综述表明，非线性方法可以预测新方法的空间，这些方法可以导致更多**精确估计IA。因此，研究项目的目的是收集实验数据，以对不同类型的树木在不同类型的树木下进行更准确的IA估计。结果将在水文**建模软件（SWMMHYMO）中实现，以更好地模拟在存在盖子狭窄的情况下的径流。更好的**估计IA将导致更具成本效益的设计，可以更好地复制后开发条件**，而无需过多的校准和各种数据系列。