دسته بندی:
مدیریت دانش - knowledge management
سال انتشار:
2021
عنوان انگلیسی مقاله:
Dynamic resilience for biological wastewater treatment processes: Interpreting data for process management and the potential for knowledge discovery
ترجمه فارسی عنوان مقاله:
انعطاف پذیری پویا برای فرآیندهای تصفیه بیولوژیکی فاضلاب: تفسیر داده ها برای مدیریت فرآیند و پتانسیل برای کشف دانش
منبع:
ScienceDirect- Elsevier- Journal of Water Process Engineering, 42 (2021) 102170: doi:10:1016/j:jwpe:2021:102170
نویسنده:
Timothy G. Holloway
چکیده انگلیسی:
Climate change, population growth and increasing regulation are causing wastewater treatment plants to become
increasingly stressed, especially in countries like the UK, where many of these systems date back to the early part
of the 20th century. Understanding resilience dynamics for these ageing wastewater assets represents a funda-
mental step in classifying multi-dimensional water stressors toward preventing severe pollution incidents. This
paper explores the potential of a novel dynamic resilience approach to assess and predict the dynamic resilience
of biological wastewater treatment based on the separation of stressor events (cause) and process stress (effect) to
consider the deviation from reference conditions. The approach presented provides a fundamental link between
(1) conventional activated sludge modelling methodologies, (2) actual biological wastewater process instrument
data (potential for knowledge discovery) and (3) the characterisation of dynamic resilience in wastewater
treatment processes. Results first present the dynamic resilience approach by modelling simulated shock flow
conditions on an activated sludge plant, then incorporates ten years of wastewater process instrument data to
demonstrate the actual dynamic resilience. The aim is to represent the “dynamic resilience” as self-ordering
windows, a visual knowledge base (three dimensional, heat map), which operational staff can easily interpret.
The outcomes presented suggest that such an approach is feasible and has the potential for real-time identifi-
cation of conditions that result in pollution incidents based on actual historical process instrument data
(knowledge discovery). Also, the methods presented could be extended to develop an improved understanding of
wastewater system resilience under a range of future stressor scenarios.
keywords: انعطاف پذیری پویا | مدل سازی تاثیر فرآیند | استرس فرایند | مدل سازی پویا | مدل سازی فاضلاب | Dynamic resilience | Process impact modelling | Process stress | Dynamic modelling | Wastewater modelling
قیمت: رایگان
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