Grid Computing Method for Bioaerosol Concentrations Coupled with Human Health Risk Values in the Application of Vaccine Enterprise Layout and Site Selection to Reduce Environmental Risks Caused by Bioaerosol Leakage: A Case Study of Leakage Accident in Zhongmu Lanzhou Biopharmaceutical Plant of Gansu Province, China

Pathogenic bacteria pose a great threat to global public health from environmental and public health perspectives, especially regarding the impact of the COVID-19 pandemic worldwide. Thus, the increased exposure risk of pathogenic bioaerosols causes a considerable health burden and raises specific concerns about the layout and location of vaccine manufacturers. This study proposed a grid computing method based on the CALPUFF modeling system and population-based environmental health risks to reduce bioaerosol-related health risks. We have earlier used the CALPUFF model to quantitatively simulate the diffusion level, the spatial distribution of emissions, and potential health risks of bioaerosol leakage in the Zhongmu Lanzhou biopharmaceutical plant of Gansu province from July 24, 2019, to August 20, 2019; the credibility was verified by combining it with publicly reported test data. Based on our previous research, the CALPUFF model application combined with the environmental population-based environmental health risks in two scenarios: the layout and site selection, was explored by using the leakage accident of Zhongmu Lanzhou biopharmaceutical plant of Gansu province as a case study. Our results showed that the site selection method of scenario 2 coupled with the buffer area was more reasonable than scenario 1, and the final layout site selection point of scenario 2 was grid 157 as the optimal layout point. The simulation results demonstrated agreement with the actual survey. Our study results might help global bioaerosol manufacturers with appropriate layout and site selection to reduce bioaerosol-related potential environmental risks.