Helsinki Region Environmental Services Authority HSY, Water services, Wastewater treatment, Finland.
Water Sci Technol. 2013;68(3):499-505. doi: 10.2166/wst.2013.213.
Municipal wastewater treatment plant (WWTP) influent is typically dependent on diurnal variation of urban production of liquid waste, infiltration of stormwater runoff and groundwater infiltration. During wet weather conditions the infiltration phenomenon typically increases the risk of overflows in the sewer system as well as the risk of having to bypass the WWTP. Combined sewer infrastructure multiplies the role of rainwater runoff in the total influent. Due to climate change, rain intensity and magnitude is tending to rise as well, which can already be observed in the normal operation of WWTPs. Bypass control can be improved if the WWTP is prepared for the increase of influent, especially if there is some storage capacity prior to the treatment plant. One option for this bypass control is utilisation of on-line weather-radar-based forecast data of rainfall as an input for the on-line influent model. This paper reports the Viikinmäki WWTP wet weather influent modelling project results where gridded exceedance probabilities of hourly rainfall accumulations for the next 3 h from the Finnish Meteorological Institute are utilised as on-line input data for the influent model.
城市污水处理厂（WWTP）的进水通常取决于城市废水的日产量、雨水径流和地下水渗透的昼夜变化。在恶劣天气条件下，渗透现象通常会增加下水道系统溢流的风险，以及必须绕过 WWTP 的风险。合流制下水道基础设施增加了雨水径流在总进水中的作用。由于气候变化，雨强和雨量大势所趋在上升，这在 WWTP 的正常运行中已经可以观察到。如果 WWTP 为进水增加做好准备，特别是在处理厂之前有一些存储容量，那么旁路控制可以得到改善。一种用于旁路控制的方法是利用在线基于天气雷达的降雨预报数据作为在线进水模型的输入。本文报告了维基宁迈基 WWTP 恶劣天气进水建模项目的结果，该项目利用芬兰气象研究所提供的下 3 小时每小时降雨量累计的网格超标概率作为进水模型的在线输入数据。
