HORUS - dynamic wastewater characterisation by spectrophotometry (UV-Vis)

HORUS - 通过分光光度法（紫外-可见）进行动态废水表征

• 批准号: 283344715
• 负责人: Professor Dr. Peter Krebs
• 金额: --
• 依托单位: Institut für Siedlungs- und Industriewasserwirtschaft
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2016
• 资助国家: 德国
• 起止时间: 2015-12-31 至 2020-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/283344715?language=en
• 关键词: HORUS; dynamic; wastewater; characterisation; spectrophotometry

In recent years, the spectral online measurement approach was increasingly established to generate multiple water quality information on wastewater systems. The description of dynamic transport processes of wastewater constituents in combined sewer systems is up to now based on distinct measurement uncertainty. The reason for this is the common static calibration approach that does not take changing wastewater composition into consideration. Within the project, a dynamic calibration approach adapting to the weather-related runoff conditions will be developed, in order to enable a robust quantification of the wastewater parameters chemical oxygen demand (COD) and total suspended solids (TSS) as well as their fractions and size class distribution, respectively, under various boundary conditions. The basis of this will be provided by identifying separate calibration functions for different wastewater compositions depending on runoff conditions, i.e. dry- and wet-weather as well as mixed conditions, and by developing an automatic switching function between the calibration functions or by developing a dynamic integrating calibration function. Using the UV-Vis spectrophotometry as a measurement method, several state variables can be detected simultaneously and continuously, which allows to implement a detailed description and modelling of dynamic mass transport processes. In the city of Dresden, measurement campaigns will be realized at sites in urban sub-catchments with combined sewer systems as well as in rivers receiving combined sewer overflows. Event-specific compounds transport phenomena will be recorded online and continuously with spectrophotometers. During the events, samples will be collected intensely and analyzed in the laboratory for calibration and quantitative interpretation of the spectral signals. The analysis of detailed and well-resolved spectral information is based on regression models, which are extracted from a comparative evaluation of uni- and multivariate approaches. For COD and its fractionation as well as for TSS and particle size classes, calibration functions will be developed for various operation conditions and validated and verified with the measurement campaigns. Criteria for switching between the various condition-based calibration functions will be evaluated and automated using the spectral online signals. By means of numerical simulation, the potential of the improved measurements shall be evaluated. For that, an adequate calibration algorithm considering the dynamics of flow and mass transport processes will be developed, which reflects the high temporal resolution of measurement-based information. The created model will finally be used to investigate first-flush induced compounds load peaks and resulting acute receiving water impacts as well as to evaluate the improvements of the outcomes as compared to those produced with conventional modelling.

近年来，光谱在线测量方法越来越多地被建立起来，以生成关于废水系统的多种水质信息。到目前为止，合流制排水系统中废水组分的动态传输过程的描述是基于明显的测量不确定度。这是因为常用的静态校准方法没有考虑到废水成分的变化。在该项目中，将开发一种适应与天气有关的径流条件的动态校准方法，以便能够在不同边界条件下对废水参数化学需氧量(COD)和总悬浮固体(TSS)及其分数和粒级分布进行可靠的量化。将根据径流条件，即干燥和潮湿天气以及混合条件，确定不同废水成分的单独校准函数，并建立校准函数之间的自动切换功能，或开发动态积分校准函数，从而提供这一基础。利用紫外可见光谱作为一种测量方法，可以同时连续检测多个状态变量，从而可以对动态传质过程进行详细的描述和建模。在德累斯顿市，将在具有联合下水道系统的城市次集水区以及接受联合下水道溢流的河流中开展测量活动。特定事件的化合物传输现象将使用分光光度计在线并连续记录。在活动期间，将集中采集样品并在实验室进行分析，以便对光谱信号进行校准和定量解释。对详细和良好分辨的光谱信息的分析是基于回归模型的，回归模型是从单变量和多变量方法的比较评估中提取的。对于COD及其分级以及TSS和粒度等级，将针对各种操作条件开发校准函数，并通过测量活动进行验证和验证。各种基于条件的校准功能之间的切换标准将使用光谱在线信号进行评估和自动化。通过数值模拟，对改进后的测量方法的潜力进行了评估。为此，将开发一种充分考虑流动和质量传输过程动力学的校准算法，该算法反映了基于测量的信息的高时间分辨率。所建立的模型最终将被用于调查首次冲刷引起的化合物负荷峰值和由此产生的急性受水冲击，以及评估与传统模拟结果相比所产生的结果的改进。