생물환경조절학회지 (Journal of Bio-Environment Control)

  • 제32권4호
  • /
  • Pages.423-433
  • /
  • 2023
  • /
  • 1229-4675(pISSN)
  • /
  • 2765-3641(eISSN)
한국생물환경조절학회 (The Korean Society for Bio-Environment Control)
권호 표지
DOI QR코드

DOI QR Code

항공 살포에 의한 농약 비산 측정 및 평가를 위한 시험 농경지 구축 및 운영

Establishing and Operating a Test Bench for Assessment of Pesticide Drift by Aerial Application

  • 박진선 (전남대학교 농업생명과학대학 기후변화대응농생명연구소) ;
  • 이세연 (전남대학교 농업생명과학대학 지역.바이오시스템공학과 & BK21기후지능형간척지농업교육연구팀) ;
  • 최락영 (전남대학교 농업생명과학대학 지역.바이오시스템공학과 & BK21기후지능형간척지농업교육연구팀) ;
  • ;
  • 홍세운 (전남대학교 농업생명과학대학 지역.바이오시스템공학과 & BK21기후지능형간척지농업교육연구팀)
  • Jinseon Park (AgriBio Institute of Climate Change Management, Chonnam National University) ;
  • Se-Yeon Lee (Department of Rural and Bio-systems Engineering, Education and Research Unit for Climate-Smart Reclaimed-Tideland Agriculture (BK21 four), Chonnam National University) ;
  • Lak-Yeong Choi (Department of Rural and Bio-systems Engineering, Education and Research Unit for Climate-Smart Reclaimed-Tideland Agriculture (BK21 four), Chonnam National University) ;
  • Daniel Kenidh Favour (Department of Rural and Bio-systems Engineering, Education and Research Unit for Climate-Smart Reclaimed-Tideland Agriculture (BK21 four), Chonnam National University) ;
  • Se-woon Hong (Department of Rural and Bio-systems Engineering; AgriBio Institute of Climate Change Management, Education and Research Unit for Climate-Smart Reclaimed-Tideland Agriculture (BK21 four), Chonnam National University)
  • 투고 : 2023.10.10
  • 심사 : 2023.10.26
  • 발행 : 2023.10.31
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

본 연구에서는 무인 항공 방제기에 의한 농약 비산을 모의하기 위한 시험 농경지 구축과 정량 평가를 위한 실험법을 정립하고자 하였다. 이를 위해 농약 비산 평가에 대한 ISO 22866과 ASABE S561.1과 같은 국제 표준을 분석 및 고찰하였고, 이를 기반으로 국내 실정에 부합하는 시험 농경지를 구축하고, 그 실효성을 평가하였다. 이로써 현장 실험이 복잡하고, 동일 조건을 구현하기 어려웠던 실험 환경 개선 방안을 마련할 수 있었으며, 이를 통해 항공 살포에 의한 농약 비산 데이터베이스 구축이 가능할 것으로 판단되고, 공기 중 농약 비산을 정량 평가하고, 저감 방안을 마련하는 데 도움이 될 것으로 기대된다.

As aerial application increasing, with social concerning in pesticide drift rises, so this study attempts to establish a test bench that can repeatedly and continuously evaluate this. To this end, this study first analyze ISO 22866 and ASABE S561.1 among the international standard test methods related to pesticide fugitive evaluation. A test bench was established at the Naju practice field of Chonnam National University in accordance with international standards, and field tests were carried out (ISO 22866, ASABE S561.1) to verify effectiveness. A test bench that established in this study and a pesticide drift recovery protocol by aerial application can improve the experimental environment where field experiments were complex and it was difficult to achieve the same conditions. In addition, it will be possible to construct a database of pesticide drift that takes into account various factors that affect pesticide drift substances, which is expected to improve the reliability of the data, as well as quantitative evaluation of pesticide drift in the air.

키워드

과제정보

이 논문은 농촌진흥청 연구사업(과제번호: PJ017065)의 지원에 의하여 연구되었으며, 이에 감사를 표합니다.

참고문헌

  1. American Society of Agricultural and Biological Engineers (ASABE) 2004, ASABE S561.1, Procedure for Measuring Drift Deposits from Ground, Orchard, and Aerial Sprayers. ASABE, St. Joseph, MI, USA.
  2. American Society of Agricultural and Biological Engineers (ASABE) 2009, ASABE S572.1 Droplet Size Classification. ASABE, St. Joseph, MI, USA.
  3. Balsari P., P. Marucco, and M. Tamagnone 2007, A test bench for the classification of boom sprayers according to drift risk. Crop Prot 10:1482-1489. doi:10.1016/j.cropro.2006.12.012
  4. Chen Y., H. Zhu, H.E. Ozkan, R.C. Derksen, and C.R. Krause 2013, Spray drift and off-target loss reductions with a precision air-assisted sprayer. Trans ASABE 56:1273-1281. doi:10.13031/trans.56.1017
  5. Gil E., M. Gallart, P. Balsari, M. Gallart, J. Llorens, P. Marucco, P.G. Anderson, X. Fabregas, and J. Llop 2014, Determination of drift potential of different flat fan nozzles on a boom sprayer using a test bench. Crop Prot 56:58-68. doi:10.1016/j.cropro.2013.10.018
  6. Gil E., M. Gallart, P. Balsari, P. Marucco, M.P. Almajano, and J. Llop 2015, Influence of wind velocity and wind direction on measurements of spray drift potential of boom sprayers using drift test bench. Agric For Meteorol 202:94-101. doi:10.1016/j.agrformet.2014.12.002
  7. Hong S.-W., L. Zhao, and H. Zhu 2018, CFD simulation of pesticide spray from air-assisted sprayers in an apple orchard: tree deposition and off-target losses. Atmos Environ 175:109-19. doi:10.1016/j.atmosenv.2017.12.001
  8. International Organization for Standard (ISO) 2005, ISO TC 23/SC 06 N 22866. Equipment for crop protection-methods for the field measurement of spray drift. ISO, Geneva, Switzerland.
  9. Kirchner L.M, R.A.J. Taylor, R.A. Downer, and F.R. Hall 1996, Calibrating the pesticide capture efficiency of passive dosimeters. Pestic Sci 46:61-69. doi:10.1002/(SICI)1096-9063(199601)46:1<61::AID-PS332>3.0.CO;2-1
  10. KOSIS, 2022. Agricultural land area, https://kosis.kr/statHtml/statHtml.do?orgId=101&tblId=INH_1EB002&conn_path=I2
  11. Nuyttens D., I.K.A. Zwertvaegher, and D. Dekeyser 2017, Spray drift assessment of different application techniques using a drift test bench and comparison with other assessment methods. Biosyst Engin 154:14-24. doi:10.1016/j.biosystemseng.2016.09.013
  12. Park J.S., S.-Y. Lee, L.-Y. Choi, and S.-W. Hong 2023, Analysis of effect on pesticide drift prevention using spray drift tunnel. J Bio-Env Con 32:106-114. (in Korean) doi:10.12791/KSBEC.2023.32.2.000
  13. Park J.S., S.-Y. Lee, L.-Y. Choi, S.-W. Hong, H.H. Noh, and S.-H. Yu 2022, Airborne-spray-drift collection efficiency of nylon screens: measurement and CFD analysis. Agronomy 12:2865. doi:10.3390/agronomy12112865
  14. Rural Development Administration (RDA) 2020, Manual of unmanned aerial vehicle for spraying pesticide. RDA, Wanju, Korea.
  15. Schaafsma A.W., L.-R. Victor, and L.G. Forero 2017, The role of field dust in pesticide drift when pesticide-treated maize seeds are planted with vacuum-type planters. Pest Manag Sci 74:323-331. doi:10.1002/ps.4696
  16. Thomson S.J., and Y. Huang 2023, Comparison of weather acquisition periods influencing a statistical model of aerial pesticide drift. Agronomy 13:213. doi:10.3390/agronomy13010213
  17. Ucar T., and F.R. Hall 2001, Windbreaks as a pesticide drift mitigation strategy: A review. Pest Manag Sci 57:663-675. doi:10.1002/ps.341