Journal of The Korean Society of Agricultural Engineers (한국농공학회논문집)

The Korean Society of Agricultural Engineers (한국농공학회)
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Aerodynamic Approaches for the Predition of Spread the HPAI (High Pathogenic Avian Influenza) on Aerosol

고병원성 조류인플루엔자 (HPAI)의 에어로졸을 통한 공기 전파 예측을 위한 공기유동학적 확산 모델 연구

  • 서일환 (서울대학교 농업생명과학대학 지역시스템공학과) ;
  • 이인복 (국립수의과학검역원 질병조사센터) ;
  • 문운경 (국립수의과학검역원 질병조사센터) ;
  • 홍세운 (서울대학교 농업생명과학대학 지역시스템공학과) ;
  • 황현섭 (서울대학교 농업생명과학대학 지역시스템공학과) ;
  • ;
  • 권경석 (서울대학교 농업생명과학대학 지역시스템공학과) ;
  • 김기연 (한양대학교 환경 및 산업의학 연구소)
  • Received : 2010.11.17
  • Accepted : 2011.01.03
  • Published : 2011.01.31
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Abstract

HPAI (High pathogenic avian influenza) which is a disease legally designated as an epidemic generally shows rapid spread of disease resulting in high mortality rate as well as severe economic damages. Because Korea is contiguous with China and southeast Asia where HPAI have occurred frequently, there is a high risk for HPAI outbreak. A prompt treatment against epidemics is most important for prevention of disease spread. The spread of HPAI should be considered by both direct and indirect contact as well as various spread factors including airborne spread. There are high risk of rapid propagation of HPAI flowing through the air because of collective farms mostly in Korea. Field experiments for the mechanism of disease spread have limitations such as unstable weather condition and difficulties in maintaining experimental conditions. In this study, therefore, computational fluid dynamics which has been actively used for mass transfer modeling were adapted. Korea has complex terrains and many livestock farms are located in the mountain regions. GIS numerical map was used to estimate spreads of virus attached aerosol by means of designing three dimensional complicated geometry including farm location, road network, related facilities. This can be used as back data in order to take preventive measures against HPAI occurrence and spread.

Keywords

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  2. Prediction of the spread of highly pathogenic avian influenza using a multifactor network: Part 1 – Development and application of computational fluid dynamics simulations of airborne dispersion vol.121, 2014, https://doi.org/10.1016/j.biosystemseng.2014.02.013