Monitoring, understanding, modelling and improving the KAMAK wastewater treatment train

题为“监测、了解、模拟和改进KAMAK废水处理系列”的拟议研究项目的主要目标是增进对KAMAK工艺不同处理机制的了解。由Bionest Technologies Inc.开发的KAMAK废水处理列车，是一种增强泻湖式污水处理厂的解决方案。该系列由五个不同的区域组成，其中三个是澄清区，两个是生物膜反应器。这项新技术对加拿大来说很重要，因为泻湖工艺是最普遍的废水处理技术，这些工厂中有很大一部分现在已经超负荷运转。为了实现这一目标，（1）表征去除性能，（2）量化澄清区的污泥积累和降解，（3）模拟新技术的关键处理过程是有针对性的具体目标。整个项目将在全尺寸KAMAK处理列车上进行。Primodal RSM 30测量站配备了水质传感器，可以连续收集数据，用于监测工艺性能。污泥积累是泻湖运行的关键部分，将量化污泥层中生物活性对出水水质的影响。从前两个目标的工作中获得的信息最终将被分析，以开发描述关键过程的数学模型，以了解和优化KAMAK列车的运行特征。从该项目中获得的知识将推动该技术的发展。结果将用于验证设计标准和优化KAMAK处理列车的组件。

The main objective of the proposed research project entitled "Monitoring, understanding, modelling and improving the KAMAK wastewater treatment train" is to increase understanding of the different treatment mechanisms of the KAMAK process. The KAMAK wastewater treatment train, developed by Bionest Technologies Inc., is a solution for enhancing lagoon-based wastewater treatment plants. The train is composed of five distinct zones of which three are clarification zones and two are biofilm reactors. This new technology is important for Canada as lagoon-based processes are the most prevalent technologies for wastewater treatment and a significant fraction of these plants are now overloaded. With a view to achieve this aim, (1) characterizing the removal performances, (2) quantifying the sludge accumulation and degradation in the clarification zones and (3) modeling the key treatment processes of the new technology are the targeted specific objectives. The whole project will be performed on a full-scale KAMAK treatment train. Primodal RSM30 measuring stations equipped with water quality sensors allowing continuous data collection will be used to monitor process performance. Sludge accumulation, a crucial part of lagoon operation, will be quantified as well as the impact of biological activity in the sludge layer on effluent quality. The information gained from the work on the two first objectives will finally be analyzed to develop a mathematical model describing key processes in order to understand and optimize features of the operation of the KAMAK train. The knowledge gained from this project will advance the development of the technology. The results will be used to validate the design criteria and to optimize the components of the KAMAK treatment train.