دانلود مقاله ISI انگلیسی شماره 145734
ترجمه فارسی عنوان مقاله

روش بازبینی ریسک میکروبی استفاده مجدد مستقیم مستقیم: تجزیه و تحلیل حساسیت و کاربرد آن در تخصیص اعتبارات دولتی

عنوان انگلیسی
Direct potable reuse microbial risk assessment methodology: Sensitivity analysis and application to State log credit allocations
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
145734 2018 26 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Water Research, Volume 128, 1 January 2018, Pages 286-292

ترجمه کلمات کلیدی
استفاده مجدد مستقیم قابل شستشو، ارزیابی خطر کمی میکروبی، آب بازیافتی، آب بازیافت شده، درمان پیشرفته آب ورود مجدد اعتبار
کلمات کلیدی انگلیسی
Direct potable reuse; Quantitative microbial risk assessment; Recycled water; Reclaimed water; Advanced water treatment; Log credit allocations;
پیش نمایش مقاله
پیش نمایش مقاله  روش بازبینی ریسک میکروبی استفاده مجدد مستقیم مستقیم: تجزیه و تحلیل حساسیت و کاربرد آن در تخصیص اعتبارات دولتی

چکیده انگلیسی

Understanding pathogen risks is a critically important consideration in the design of water treatment, particularly for potable reuse projects. As an extension to our published microbial risk assessment methodology to estimate infection risks associated with Direct Potable Reuse (DPR) treatment train unit process combinations, herein, we (1) provide an updated compilation of pathogen density data in raw wastewater and dose-response models; (2) conduct a series of sensitivity analyses to consider potential risk implications using updated data; (3) evaluate the risks associated with log credit allocations in the United States; and (4) identify reference pathogen reductions needed to consistently meet currently applied benchmark risk levels. Sensitivity analyses illustrated changes in cumulative annual risks estimates, the significance of which depends on the pathogen group driving the risk for a given treatment train. For example, updates to norovirus (NoV) raw wastewater values and use of a NoV dose-response approach, capturing the full range of uncertainty, increased risks associated with one of the treatment trains evaluated, but not the other. Additionally, compared to traditional log-credit allocation approaches, our results indicate that the risk methodology provides more nuanced information about how consistently public health benchmarks are achieved. Our results indicate that viruses need to be reduced by 14 logs or more to consistently achieve currently applied benchmark levels of protection associated with DPR. The refined methodology, updated model inputs, and log credit allocation comparisons will be useful to regulators considering DPR projects and design engineers as they consider which unit treatment processes should be employed for particular projects.