Pollution Dispersion and Predicting Infection Risks in Mobile Public Toilets Based on Measurement and Simulation Data of Indoor Environment
Abstract
:1. Introduction
2. Field Test Method for the Thermal Environment
2.1. Research Subjects
2.2. Test Principles
2.3. The Layout of the Test Point
2.4. Test Instruments
2.5. Aerosol Transmission Risk Assessment Approach Using Gas Tracers
3. Results and Discussion
3.1. Field Test Results for the Thermal Environment
3.1.1. Indoor Temperature and Humidity Distribution
3.1.2. Indoor Air Temperature Vertical Stratification
3.1.3. Evaluation and Analysis of Odor Intensity
4. Numerical Simulation
4.1. Simulation Model
4.2. Model Equations
Zero Equation
4.3. Boundary Conditions
- (1)
- It could be assumed that the air is uniformly in compressible;
- (2)
- In the steady state, the 3D flow could be fully developed;
- (3)
- The influence of cold air penetration could be ignored on the heat transfer process;
- (4)
- All thermo-physical fluid properties could be considered constant.
4.4. Meshing and Model Validation
4.5. Simulation Results
4.5.1. Pollution Distribution
4.5.2. Effects of Indoor Pollutant Concentration
4.5.3. Indoor Air Velocity Distribution
4.5.4. Indoor Air Age Distribution
5. Ventilation Methods for Reducing Public Health Safety Risks
5.1. H2S and NH3 Mass Concentrations in Different Ventilation Modes
5.2. Indoor Air Age in Different Ventilation Modes
6. Conclusions
- (1)
- There is no obvious difference in the change rules of thermal environment in the three mobile public toilets. Temperature and humidity have the same large amplitude and short delay, the values of which are acceptable for people based on GB/T 17217-1998. However, odor intensity indicates that the environment in the mobile public toilets is unadopted but suitable for bacteria.
- (2)
- Different characteristics in the thermal environments can affect pollution dispersion. An increase in the temperature increases the intensity of ammonia. The temperature increased by 1 °C and the ammonia concentration increased by 0.036 mg/m3. While the hydrogen sulfide concentration does not have a significant correlation with temperature, and an increase in humidity does not drastically change the pollution concentration in mobile public toilets. This shows that this aerosol pollution dispersion will be stronger when the temperature is varied.
- (3)
- The pollution concentration level increases linearly with air velocity. Exhaust air volume and pollutant concentration show an obvious inverse relationship. With an increase of 0.1 m/s in the wind speed at the exhaust air outlet, the indoor ammonia concentration and hydrogen sulfide concentration were reduced by 0.1 mg/m3 and 0.002 mg/m3, respectively. Thus, it is possible to reduce the aerosol pollution concentration with enough ventilation.
- (4)
- It is best to use up-supply and down-exhaust for pollution discharge in mobile public toilets. Compared to the measured object, ammonia and hydrogen sulfide concentration decreased by 2.2 mg/m3 and 0.046 mg/m3, respectively, indicating that there is a higher potential for improving the indoor environment in mobile public toilets. Therefore, the air distribution mode of mobile toilets is extremely important.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Nomenclature
Parameters | |
tin | The indoor temperature of the object, °C |
μt | The turbulent viscosity, N·s/m2 |
ρ | The fluid density, kg/m3 |
l | The mixed length of the fluid, m |
S | The modulus of the average strain rate tensor of the fluid, s−1 |
k | The von Kármán constant |
d | The respective distance from the wall, m |
u | The fluid velocity, m/s |
P | The fluid pressure, Pa |
R | The molar gas constant |
T | The thermodynamic temperature of the fluid, K |
Abbreviations | |
UPT | Urban public toilet |
EMU | Electric multiple unit |
TMY | Typical meteorological year |
A, B, C | Object A, object B, and object C |
HVAC | Heating, ventilation, and air conditioning |
CFD | Computational fluid dynamics |
Subscripts | |
max | Maximum of data |
min | Minimum of data |
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Object | Structure | Material | Towards | Shelter | Ventilation | Opening Size (mm) | Structure Size (mm) | |
---|---|---|---|---|---|---|---|---|
External | Internal | |||||||
A | Composite | Metal Carved Board | North 350° | No | Natural ventilation | 20 × 20 | 1100 × 1100 × 2300 | 970 × 970 × 2300 |
B | Southeast 149° | Yes | Mechanical ventilation | 29 × 29 | 1420 × 1540 × 2630 | 1120 × 1370 × 2000 | ||
C | West 285° | No | Intermittent mechanical ventilation | 14.4 × 14.4 | 1250 × 1500 × 2250 | 1200 × 1400 × 2000 |
Equipment | Measuring Parameter | Equipment Parameter | Equipment Photos |
---|---|---|---|
FLUKE 971 temperature and humidity recorder | The indoor temperature and humidity | Temperature range: −20∼60 °C, accuracy: ± 0.5 °C (0∼45 °C); relative humidity range: 10∼90%, accuracy: ± 2.5% (23 °C) | |
FLUKE VT02 infrared thermometer | The temperature of the wall | Temperature range: −10∼250 °C, accuracy: ± 2 °C (14∼482 °F); infrared band: 6.5 μm to 14 μm | |
FLUKE 923 hot-wire anemometer | The airflow rate of the outlet | Wind speed range: 0.2∼20 m/s, accuracy: 5% ± 0.05 m/s; temperature range −20∼60 °C, accuracy ± 0.1 °C |
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Li, R.; Liu, G.; Xia, Y.; Bantserova, O.L.; Li, W.; Zhu, J. Pollution Dispersion and Predicting Infection Risks in Mobile Public Toilets Based on Measurement and Simulation Data of Indoor Environment. Processes 2022, 10, 2466. https://doi.org/10.3390/pr10112466
Li R, Liu G, Xia Y, Bantserova OL, Li W, Zhu J. Pollution Dispersion and Predicting Infection Risks in Mobile Public Toilets Based on Measurement and Simulation Data of Indoor Environment. Processes. 2022; 10(11):2466. https://doi.org/10.3390/pr10112466
Chicago/Turabian StyleLi, Ruixin, Gaoyi Liu, Yuanli Xia, Olga L. Bantserova, Weilin Li, and Jiayin Zhu. 2022. "Pollution Dispersion and Predicting Infection Risks in Mobile Public Toilets Based on Measurement and Simulation Data of Indoor Environment" Processes 10, no. 11: 2466. https://doi.org/10.3390/pr10112466
APA StyleLi, R., Liu, G., Xia, Y., Bantserova, O. L., Li, W., & Zhu, J. (2022). Pollution Dispersion and Predicting Infection Risks in Mobile Public Toilets Based on Measurement and Simulation Data of Indoor Environment. Processes, 10(11), 2466. https://doi.org/10.3390/pr10112466