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Bioaerosol dispersion and environmental risk simulation: Method and a case study for a biopharmaceutical plant of Gansu province, China.
Xu, Xin; Wang, Chengxin; Wang, Peng; Chu, Yinghao; Guo, Jing; Bo, Xin; Lin, Aijun.
  • Xu X; College of Chemical Engineering, Beijing University of Chemical Technology, Beijing 100029, PR China.
  • Wang C; School of Architecture and Environment, Sichuan University, Chengdu 610065, China.
  • Wang P; 3Clear Technology Co., Ltd, Beijing 100029, China.
  • Chu Y; School of Architecture and Environment, Sichuan University, Chengdu 610065, China.
  • Guo J; School of Economics and Management, Beihang University, Beijing 100191, China.
  • Bo X; College of Chemical Engineering, Beijing University of Chemical Technology, Beijing 100029, PR China. Electronic address: boxin@buct.edu.cn.
  • Lin A; College of Chemical Engineering, Beijing University of Chemical Technology, Beijing 100029, PR China. Electronic address: linaj@mail.buct.edu.cn.
Sci Total Environ ; : 160506, 2022 Nov 25.
Article in English | MEDLINE | ID: covidwho-2237167
ABSTRACT
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. As a result, the increased risk of pathogenic bioaerosol exposure imposes 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 modelling system and population-based environmental risks to reduce bioaerosol-related potential risks. We previously used the CALPUFF model to quantify the diffusion level, the spatial distribution of emissions, and potential environmental risks of bioaerosol leakage in Gansu province's Zhongmu Lanzhou biopharmaceutical plant from July 24, 2019, to August 20, 2019. By combining it with publicly available test data, the credibility was confirmed. Based on our previous research, the CALPUFF model application combined with the environmental population-based environmental 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 findings could assist global bioaerosol manufacturers in developing appropriate layout and site selection strategies to reduce bioaerosol-related potential environmental risks.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Case report / Observational study / Prognostic study Topics: Vaccines Language: English Journal: Sci Total Environ Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Case report / Observational study / Prognostic study Topics: Vaccines Language: English Journal: Sci Total Environ Year: 2022 Document Type: Article