Modeling Dry Weather Wastewater Flow in Sewer Networks
Modeling Dry Weather Wastewater Flow in Sewer Networks
复制标题
模拟干旱天气下水道网络中的废水流
DOI：
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发表时间：
1995
期刊：
影响因子：
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通讯作者：
N. Graham
中科院分区：
文献类型：
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作者：
D. Butler;N. Graham
本文建立了一个预测城市排水管网中干旱天气流量时空变化的模型。使用概率框架来解释间歇性装置的使用以及对流入空间分布进行建模的方法，并开发了多种装置。引入期望流量的概念，以克服将短期间歇性输入转换为长期连续基流的问题，该基流适合作为马斯京根-康日流模型的上游边界条件。进行了一项小规模的家用电器使用情况调查，以提供所需的输入数据。该模型进行了验证，在英格兰东南部的一个小的联合下水道网络，使用25天的干燥天气流量数据。平均日流量和峰值流量的准确度在测量值的±10%范围内，全天数据的总体拟合良好。也成功地模拟了一天中任何时刻流量关于其平均值的长期变化。
A model to predict the spatial and temporal variation of domestic dry weather flow in sewer networks was developed in this paper. A probabilistic framework was used to interpret intermittent appliance usage and methods for modeling the spatial distribution of inflow, and multiple appliances were developed. The concept of expected flow was introduced to overcome the problem of converting short-term, intermittent inputs into long-term, continuous baseflow suitable as an upstream boundary condition for a Muskingum-Cunge flow model. A small-scale domestic appliance usage survey was carried out to provide the necessary input data. The model was verified on a small combined sewer network in southeast England, using 25 days of dry weather flow data. The accuracy of mean daily and peak flows fell within ±10% of the measured values, and the overall fit of the data throughout the day was found to be good. The long-term variability of flow about its mean at any instant during the day was also successfully modeled.