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Improvement of Ammonia Emission Inventory Estimation Methodology for Fertilizer Application in the Agricultural Sector

농업부문 비료사용 농경지의 암모니아 배출량 산정방법 개선

  • Choi, Hanmin (Dept. of Applied Environmental Science, Kyung Hee Univ.) ;
  • Hyun, Junge (Dept. of Applied Environmental Science, Kyung Hee Univ.) ;
  • Kim, You Jin (Dept. of Applied Environmental Science, Kyung Hee Univ.) ;
  • Yoo, Gayoung (Dept. of Environmental Science and Engineering, Kyung Hee Univ.)
  • 최한민 (경희대학교 대학원 환경응용과학과) ;
  • 현준기 (경희대학교 대학원 환경응용과학과) ;
  • 김유진 (경희대학교 대학원 환경응용과학과) ;
  • 유가영 (경희대학교 공과대학 환경학 및 환경공학과)
  • Received : 2019.08.19
  • Accepted : 2019.09.16
  • Published : 2019.09.30

Abstract

Ammonia is main precursor gas of secondary particulate matter and contributes almost 78% of total ammonia emission from the agricultural sector in Korea. The current method of estimating ammonia emission from fertilizer application, which contributes 7% of the total emission, has high uncertainty and needs to be improved to better predict PM2.5 concentration. In this study, we suggest an improvement method for ammonia emission quantification from fertilizer application. The first improvement was in the emission factor of NPK fertilizer by conducting a field study to verify the currently used factor. The improved NPK emission factor of 52.2 kg NH ton-1N was confirmed by comparing with the value from the EEA (European Environment Agency) and adjusting the value for the Korean climate and soil conditions. We also improved the amount of fertilizer usage by including the sales amount to the fertilizer supply amount of the Korean Farmers Association, increasing total fertilizer usage by 39.8%. As the statistical data on fertilizer supply and sales are compiled yearly, we estimated monthly emission of ammonia by considering cultivated areas and timing of fertilization for each crop. In summary, we suggest a novel and practical method to improve estimation methodology of ammonia emission from the field of fertilizer application: 1) emission factor of NPK fertilizer was reconfirmed; 2) total amount of fertilizer use was revised considering fertilizer sales; and 3) monthly emission of ammonia was realized by considering different crop practices. A bottom-up approach to compile activity data is needed to increase the estimation accuracy of monthly emission of ammonia, which is very helpful for predicting PM2.5 concentration.

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Acknowledgement

본 연구는 농촌진흥청 국립농업과학원 농업과학기술 연구 개발사업 (세부과제번호: PJ011855062018)의 지원에 의해 수행되었습니다.