Virus cross-transmission potential via sanitary plumbing networks in an infectious disease isolation facility DOI
Jinkyun Cho, Joo Hyun Moon, Seungmin Jang

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 109, С. 105545 - 105545

Опубликована: Май 20, 2024

Язык: Английский

Optimal Arrangement Strategy of IoT Sensors in Urban Drainage Networks: A Review DOI Creative Commons
Yiyi Ma, Tianyu Guo,

Yiran Wang

и другие.

Applied Sciences, Год журнала: 2025, Номер 15(9), С. 4976 - 4976

Опубликована: Апрель 30, 2025

The Urban Drainage Network (UDN) is a type of underground municipal infrastructure responsible for transporting sewage and rainwater. To keep abreast the hydraulic water quality conditions pipes to detect problems such as pipe clogging, pollution leakage, real-time monitoring sensors have been widely adopted, accomplished with development IoT technologies. However, intricate topology numerous nodes drainage complicate sensor placement strategies, especially in selection location points. This review examines application cases UDNs some other networks, evaluating characteristics applicability various optimal methods theories. A general framework was proposed applicable UDN, including object classification–method selection–quantitative evaluation. Currently, quantitative evaluation schemes lacks systematic process, existing layout may not be optimal. Future research can explore dynamic optimization strategies through phased deployment feedback iteration, which enhance accuracy objectivity design

Язык: Английский

Процитировано

0

Ceasing sampling at wastewater treatment plants where viral dynamics are most predictable DOI Creative Commons
Mo Liu, Devan Becker

Epidemics, Год журнала: 2025, Номер 51, С. 100834 - 100834

Опубликована: Май 9, 2025

Wastewater sampling has been shown to be an effective tool for monitoring the dynamics of infectious disease. During COVID-19 pandemic, many sites were opened in order capture as much information possible. However, with pandemic waning, not all need continue operating. In this work, we investigate a method evaluating which can stop. We apply machine learning methods predict mutation frequencies from wastewater on next day one location based previous days other locations, then record prediction error. The lowest error are ones that contain least amount unique information, and cease at those locations. demonstrate systematic approach errors several interpretations five locations Switzerland, finding two could removed minimal loss.

Язык: Английский

Процитировано

0

Virus cross-transmission potential via sanitary plumbing networks in an infectious disease isolation facility DOI
Jinkyun Cho, Joo Hyun Moon, Seungmin Jang

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 109, С. 105545 - 105545

Опубликована: Май 20, 2024

Язык: Английский

Процитировано

0