Process stress, stability and resilience in wastewater treatment processes: A novel conceptual methodology

Dynamic resilience for biological wastewater treatment processes: Interpreting data for process management and the potential for knowledge discovery

“…Due to the complexity of these interactions, previous 'state-based' Monte-Carlo Simulations (MCS) used to capture physical process stresses, as presented by Holloway et al (2021), are not suitable for dynamic biological processes. Dynamic wastewater processes demand a new approach that includes process stress recovery time, which cannot be achieved with MCS (Guanghao et al 2020).…”

“…This paper explores the potential of modelling the long term dynamic resilience of biological treatment wastewater assets through decoupling the stressor (cause) from the stresses occurring in a process (effect) introduced by Holloway et al (2021). As presented in Fig.…”

“…1, this approach treats the stressor and process stress as mutually exclusive, with independent characteristics. (Holloway et al 2021).…”

“…The need to understand the dynamics of resilience was confirmed in a survey of water sector stakeholders (including operational staff), revealing that 82 % considered a modelling tool for evaluating process stresses as necessary to avoid process-related failures (Holloway et al 2019). These outcomes led to the development of an initial 'state-based', dynamic resilience evaluation using a heat map of the primary sedimentation process (Holloway et al 2021). These methods were limited to the confines of the empirical model and the number of theoretical observations computed by the Monte-Carlo simulations (not based on actual data).…”

“…Fig.1Diagram showing dynamic resilience, with the stressor (cause) and process stress (effect)(Holloway et al 2021).…”