Data on airborne bacteria and fungi emission from a conventional hospital wastewater treatment plant

The lack of necessary air pollution control measures in the construction of hospital wastewater treatment plants results in the release of harmful bioaerosols in and around the hospital. A sampling of airborne bacteria and fungi was performed using the gravitational method in 9 sites including an upwind site, intra-plant and outside a hospital wastewater treatment plants with activated sludge technology in Tehran (1, 5 and 3 points, respectively) from March to June. Bioaerosol on nutrient agar media were identified quantitatively and qualitatively. Intra-plant airborne particulate matter concentrations were measured by an optical particle sizer in intervals of 6 s for 60 min. The environmental parameters were also recorded in the sampling period. Experimental data was collected and analyzed by Excel software and SPSS statistical software version 23, respectively. This work is useful to help manage bioaerosols exposure risk such as WWTP.


a b s t r a c t
The lack of necessary air pollution control measures in the construction of hospital wastewater treatment plants results in the release of harmful bioaerosols in and around the hospital. A sampling of airborne bacteria and fungi was performed using the gravitational method in 9 sites including an upwind site, intraplant and outside a hospital wastewater treatment plants with activated sludge technology in Tehran (1, 5 and 3 points, respectively) from March to June. Bioaerosol on nutrient agar media were identified quantitatively and qualitatively. Intra-plant airborne particulate matter concentrations were measured by an optical particle sizer in intervals of 6 s for 60 min. The environmental parameters were also recorded in the sampling period. Experimental data was collected and analyzed by Excel software and SPSS statistical software version 23, respectively. This work is useful to help manage bioaerosols exposure risk such as WWTP.
© 2019 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons. org/licenses/by/4.0/).

Data description
The current dataset contains 4 figures. The concentration of airborne bacteria and fungi in sampling sites is shown in Fig. 1. Bioaerosols genera and some of their species detected in the collected air samples is presented in Fig. 2. Fig. 3 shows the distribution of the particle concentration and size in five locations intra-plant. The airborne bacterial and fungal concentrations during the four months of sampling is shown in Fig. 4.

Plant description and sampling locations
The work was performed at the WWTP of a hospital (design flow: 800 m 3 /day). The treatment plant covers an area of 465 m 2 . The main note is the location of treatment that close to residential area (50 m) of the east part of Tehran, the capital of Iran country (Fig. 5).
Specifications Table   Subject Environmental Sciences Specific subject area Air pollution and bioaerosol Type of data Figures How data were acquired Bacterial colonies were initially characterized according to their staining characteristics, morphology, and microscopic examination. Then, all positive cultures on the media were plated on selective media and identified further by biochemical tests. The fungal isolates were identified on the basis of microscopic (using Lactophenol cotton blue staining) and macroscopic characteristics (with the aid of an Atlas of Mycology). Airborne particulate matter concentrations were analyzed with an optical particle sizer (Grimm; Grimm Aerosoltechnik, Model 1.108, Germany) in 15 channels between <0.3 and 20 mm and intervals of 6 s.

Value of the Data
The data are not only of great importance in relation to public safety of this particular WWTP, but also future WWTPs of its kind. This data can be useful for managers and all related stakeholders working in the fields of manage microbial exposure risk involving HWWTPs. The data can be taken into consideration in the design and maintenance of the hospital wastewater treatment plants with respect to occupational safety and health. This data can be useful to set standards for levels of acceptable microbial population and can also be used to suggest suitable guidelines that will help to decrease microbial density in the air of around WWTPs.
Influent sewage from all parts of the hospital is pumped to the screen room prior to the biological treatment. The secondary treatment is based on activated sludge and diffuser aeration system. In this work, 9 sites were selected for sampling according to the type of process, wind direction and patient traffic, including an upwind site outside the plant (one point), intra-plant (five points: aeration tank, settling tank, sewage inlet to aeration tank, sewage pumping station) and outside plant (three points) as shown in Fig. 5.

The sampling method
Sampling was carried out according to the EPA sampling guideline, once every 6 days for 4 months from March to June. The gravitational method was applied to collect bioaerosol samples in three open 9-cm diameter Petri dishes containing different cultures. This was performed by exposing the open lids  prepared in the Petri dishes containing Sabouraud dextrose agar (SDA) for fungi with chloramphenicol added to inhibit the proliferation of bacteria, Nutrient Agar (NA) for bacteria and Agar MacConkey (Merck Germany) for Gram-negative bacteria with cycloheximide added to suppress fungal growth in a period of 60 minutes [1,2]. Twenty-four samples (36 plates) were collected from each location, and a total of 216 samples (324 plates) were obtained for bacteria and fungi. The location for plate contact was in a respiratory height of approximately 1.5 m above floor level and a distance of 1 m from the walls and obstacles (due to EPA guideline). During sampling, air temperature, relative humidity (RH), UV index, and wind speed all corresponded to the average recorded throughout the monitoring time, according to the UK meteorology report. Intra-plant airborne particulate matter concentrations were analyzed with an optical particle sizer (Grimm; Grimm Aerosoltechnik, Model 1.108, Germany) in 15 channels between <0.3 and 20 mm and intervals of 6 s. After every collection cycle, the plates were covered, kept in a tight sealed case, and immediately transferred in a cool box to the microbiology  laboratory unit at the Department of Medical Sciences, Shahid Beheshti University. The plates were then incubated for 48 h at 37 C for bacteria and for 3e5 days at 25 C for fungi. After incubation, the concentration of the growing colonies was measured as colony forming units (CFUs), and the result was recalculated per cubic meter of air (CFU/m 3 ). The sedimentation method was based on Omelianski's formula [3].
N ¼ 5a*10 4 ðb:tÞ À1 where N is the microbial CFU/m 3 , "a" is the number of colonies per Petri dish, "b" is the dish surface (cm 2 ), and "t" is the exposure time (in minutes).

Detection and quantification of bacterial and fungal bioaerosols
Total bacteria and fungi were enumerated as the number of grown colonies and expressed as colony-forming units per plate unit. The identical colonies were sub-cultured into NA or SDA plates, incubated appropriately, and stored for further identification and characterization. Bacterial colonies were initially characterized according to their staining characteristics, morphology, and microscopic examination. Then, all positive cultures on the media were plated on selective media and identified further by biochemical tests [4]. Moreover, the fungal isolates were identified on the basis of microscopic (using Lactophenol cotton blue staining) and macroscopic characteristics (with the aid of an Atlas of Mycology) [5,6].

Data analysis
Experimental data was collected and analyzed by Excel software and SPSS statistical software version 23 (SPSS Institute, Cary, USA), respectively. One sample Kolmogorov-Smirnov test was conducted to determine the normality of the concentration of particles, bacteria, and fungi. The effect of sampling date and location was studied on the concentration using the analysis of variance (ANOVA) method. T-test analysis was performed to examine the different intra-plant and outside concentrations of airborne bacteria and fungi. The statistical significance of the correlation between environmental factors and airborne microorganisms was verified by the Pearson correlation analysis test. A p-value of 0.05 indicated a statistically significant difference. 56.e-1