Preliminary study of the air quality in operating rooms: do textiles have a role?

2018 ◽  
Vol 99 (3) ◽  
pp. 306-308 ◽  
Author(s):  
M. Totaro ◽  
A. Porretta ◽  
A. Canale ◽  
E. Filippetti ◽  
A. Tulipani ◽  
...  
2012 ◽  
Vol 56 (2) ◽  
pp. 99-100
Author(s):  
Daniel I. Sessler ◽  
Russell N. Olmsted ◽  
Ruediger Kuelpmann

Author(s):  
Claire Sarrat ◽  
Sébastien Aubry ◽  
Thomas Chaboud ◽  
Christine Lac

Local air quality is a major concern for the population regularly exposed to high levels of air pollution. The airport, mainly due to its aircraft engines activities during taxiing and take off, is often submitted to heterogeneous but important concentrations of NOx and PM. The study suggests an innovative approach to determine the air traffic impact on air quality at the scale of the airport, its runways and terminals, in order to be able to locate the persistent high concentrations spots. The pollutants concentrations at 10 m resolution and 1 s time step are calculated in order to identify the most affected areas of an airport platform. A real day of air traffic on a regional airport is simulated, using real data as aircraft trajectories (from radar streams). In order to estimate the aircraft emissions, the Air Transport Systems Evaluation Infrastructure (IESTA) is used. Regarding local air quality, IESTA relies on the non-hydrostatic meso-scale atmospheric model Meso-NH using grid-nesting capabilities with 3 domains, for this study. The detailed cartography of the airport distinguishes between grassland, parking and terminals, allowing to compute exchanges of heat, water and momentum between the different types of surfaces and the atmosphere as well as the interactions with the building using a drag force. The dynamic parameters like wind, temperature, turbulent kinetic energy and pollutants concentration are computed at 10 m resolution over the 2 × 4 km airport domain. The pollutants are considered in this preliminary study as passive tracers, without chemical reactions. This preliminary study aims at proving the feasibility of high scale modelling over an airport with state of the art physical models.


2019 ◽  
Vol 249 ◽  
pp. 248-256 ◽  
Author(s):  
Nuno Canha ◽  
Joana Lage ◽  
Joana Teixeira Coutinho ◽  
Célia Alves ◽  
Susana Marta Almeida

2012 ◽  
Vol 13 (2) ◽  
pp. 123-126 ◽  
Author(s):  
Najla El Gharbi ◽  
Ahmed Benzaoui ◽  
Essam Eldin Khalil ◽  
Ramiz Kameel

2011 ◽  
Vol 39 (4) ◽  
pp. 302-308 ◽  
Author(s):  
Gwo-Hwa Wan ◽  
Feng-Fang Chung ◽  
Chin-Sheng Tang

2014 ◽  
Vol 12 (2) ◽  
Author(s):  
Nada Awang Abdillah ◽  
Erna Tri Astuti ◽  
Sudjarwo .

One of the rooms with very high risk of disease transmission in a hospital is the operatingroom.The government through the Minister of Health Decree No. 1204/MENKES/SK/X/2004on HospitalEnvironmental Health Requirements, has placed operating rooms as a very high risk zone. Among otherthings, air quality (bacterial count) is very important to note since the rooms are used for surgicalprocedures requiring extremely sterile conditions. This study was aimed at determining the air quality(bacterial count) in operating rooms at Dr. M. Soewandhie Hospital of Surabaya in 2014.This was a descriptive study, conducted in Dr. M. Soewandhie hospital. Samples were taken fromall operating rooms, RO 1 (one), RO 2 (two), RO 3 (three), RO4 (four) and RO 5 (five). Variables to beexamined induded air microbiological quality as reflected in the bacterial count, temperature and humiditymeasurements, assessment of building and construction cleaning and sterilization processes on operatingrooms.The results showed, that bacterial counts in RO 1 was 14 cfu/m3, RO 2 63 cfu/m3, RO 3 23cfu/m3, RO4 19 cfu/m3, these four rooms did not meet the requirement, the only room that satisfied therequirement was RO 5 as much as 5 cfu/m3. Temperature and humidity in RO 1 to RO 3 were at thesame value of 200e and 68%, RO4 was 21.50e and 59%, RO 5 was 210e and 60%. In terms of roomtemperature, all rooms were satisfactory, but in term of humidity, only RO4 was satisfactory. Results ofbuilding and room assessment were: RO 1 80%, RO 2 80%, RO3 84%, RO4 74% and RO 5 70%. Itcan be conduded that RO4 and RO 5 did not satisfy the standard. In terms of cleaning processes, RO 1to RO 3 were found equal at the percentage of 75%, while RO 4 and RO 5 was also equal at thepercentage of 65%.Among the five operating rooms at Soewandhie hospital of Surabaya, four of them have exceededthe bacterial count designated as the air quality standard . It is therefore recommended to performsterilization with UV(ultraviolet) before and after each surgery; to provide an exhaust fan in RO4 and RO5, to ensure conical meeting between the floors and walls of the ROs, installation of ceramic tiles on thewall of RO 5, keeping the operating room doors closed at all times, maintenance of air conditioning unitsand exhaust fans at least every 6 months to check up on the condition of the utilities and to develop andimplement standard operational procedures for cleaning and sterilization of process of cleaning theoperating rooms.


2008 ◽  
Vol 43 (11) ◽  
pp. 1945-1952 ◽  
Author(s):  
Elena G. Dascalaki ◽  
Argyro Lagoudi ◽  
Constantinos A. Balaras ◽  
Athina G. Gaglia
Keyword(s):  

2020 ◽  
Vol 10 (11) ◽  
pp. 3721
Author(s):  
Tsung-Yi Chien ◽  
Ching-Chieh Liang ◽  
Feng-Jen Wu ◽  
Chi-Tsung Chen ◽  
Ting-Hsin Pan ◽  
...  

As controlling temperature and humidity is crucial for maintaining comfort and preventing microbial growth, operating rooms (ORs) are the most energy-intensive areas in hospitals. We aimed to evaluate the energy consumption of three dehumidification air conditioning systems used in ORs and their corresponding air quality for ORs at rest. This study selected three ORs using a conventional heating, ventilation, and air conditioning (HVAC) system; a liquid desiccant air conditioning (LDAC) system; and a rotary desiccant air conditioning (RDAC) system, respectively. The indoor thermal–hygrometric conditions, air quality, and energy consumption of the ORs were monitored in this study. The median levels of relative humidity (RH) were 66.7% in the OR using the conventional HVAC system, 60.8% in the OR using the LDAC system, and 60.5% in the OR using the RDAC system. The median daily total energy consumption of the RDAC system (10.1 kWh/m2) and LDAC system (11.8 kWh/m2) were 28.12% and 16.54% lower, respectively, than that of the conventional HVAC system (14.1 kWh/m2). The PM≥0.5 levels and airborne bacterial concentrations in the ORs met the ISO 14644-1 Class 7 standard and China’s GB50333-2013 standard, respectively. The RDAC system was clearly superior to the LDAC and conventional HVAC systems in terms of energy consumption.


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