دورية أكاديمية
أعرض في EDS

BioRTC model enables exploration of real time control strategies for stormwater biofilters.

التفاصيل البيبلوغرافية
العنوان: BioRTC model enables exploration of real time control strategies for stormwater biofilters.
المؤلفون: Shen P; China TieGong Investment & Construction Group Co., Ltd, Beijing, PR China; Eco-Environmental Research and Development Center of China Railway Group Limited, PR China., Deletic A; School of Civil and Environmental Engineering, Queensland University of Technology, Brisbane, Queensland, Australia., Bratieres K; BoSL Water Monitoring and Control, Department of Civil Engineering, Monash University, Clayton, Melbourne 3800, VIC, Australia., McCarthy DT; School of Civil and Environmental Engineering, Queensland University of Technology, Brisbane, Queensland, Australia; BoSL Water Monitoring and Control, Department of Civil Engineering, Monash University, Clayton, Melbourne 3800, VIC, Australia. Electronic address: david.mccarthy@qut.edu.au.
المصدر: Water research [Water Res] 2023 Dec 01; Vol. 247, pp. 120793. Date of Electronic Publication: 2023 Oct 27.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Pergamon Press Country of Publication: England NLM ID: 0105072 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-2448 (Electronic) Linking ISSN: 00431354 NLM ISO Abbreviation: Water Res Subsets: MEDLINE
أسماء مطبوعة: Original Publication: Oxford, Pergamon Press.
مواضيع طبية MeSH: Water Purification*/methods, Humans ; Filtration/methods ; Escherichia coli ; Rain ; Calibration
مستخلص: Biofilters with real time control (RTC) have great potential to remove microbes from stormwater to protect human health for uses such as swimming and harvesting. However, RTC strategies need to be further explored and optimised for each specific location or end-use. This paper demonstrates that the newly developed BioRTC model can fulfil this requirement and allow effective and efficient exploration of the potential of RTC applications. We describe the development of BioRTC as the first RTC model for stormwater biofilters, including: selection of a 'base' model for microbial removal prediction, its modification to include RTC capabilities, as well as calibration and validation. BioRTC adequately predicted the performance of two previously developed RTC strategies, with Nash Sutcliffe Efficiency (E c ) ranging from 0.65 to 0.80. In addition, high parameter transferability was demonstrated during model validation, where we employed the parameter sets calibrated for another biofilter study without RTC to predict the performance of RTC biofilters. We then employed the BioRTC model to explore RTC applications on a hypothetical biofilter system located at the outlet of an existing catchment. With different scenarios, we tested the impact of input parameters such as RTC set-points and design characteristics, and evaluated the influence of operational conditions on the microbial removal performance of the hypothetical biofilter with RTC. The results showed that strategy rules, set-point values, and biofilter design all govern the performance of RTC biofilters, and that operational conditions could impact the suitability of different RTC strategies. Particularly, the presence of Pareto fronts established that muti-objective optimisation is necessary to balance competing needs. These results underscore the importance of RTC, which allows for local experimentation, climate change adaptation, and adjustment to changing demands for the harvested water. Furthermore, they illustrate the practical use of the newly developed BioRTC model, enabling researchers and practitioners to explore and assess potential RTC strategies and scenarios quickly and cost-effectively.
Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2023. Published by Elsevier Ltd.)
فهرسة مساهمة: Keywords: E. coli; Microbes; Modelling; Real time control; Stormwater biofilters; Stormwater harvesting
تواريخ الأحداث: Date Created: 20231109 Date Completed: 20231127 Latest Revision: 20231127
رمز التحديث: 20231215
DOI: 10.1016/j.watres.2023.120793
PMID: 37944196
قاعدة البيانات: MEDLINE
الوصف
تدمد:1879-2448
DOI:10.1016/j.watres.2023.120793