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Development of a Nutrient Budget Model for Livestock Excreta Survey

가축분뇨실태조사를 위한 양분수지 산정 모델 개발

  • Kim, Deok-Woo (Watershed and Total Load Management Research Division, Water Environment Research Department, National Institute of Environmental Research) ;
  • Ryu, Hong-Duck (Watershed and Total Load Management Research Division, Water Environment Research Department, National Institute of Environmental Research) ;
  • Lim, Do Young (Watershed and Total Load Management Research Division, Water Environment Research Department, National Institute of Environmental Research) ;
  • Chung, Eu Gene (Watershed and Total Load Management Research Division, Water Environment Research Department, National Institute of Environmental Research) ;
  • Kim, Yongseok (Watershed and Total Load Management Research Division, Water Environment Research Department, National Institute of Environmental Research)
  • 김덕우 (국립환경과학원 물환경연구부 유역총량연구과) ;
  • 유홍덕 (국립환경과학원 물환경연구부 유역총량연구과) ;
  • 임도영 (국립환경과학원 물환경연구부 유역총량연구과) ;
  • 정유진 (국립환경과학원 물환경연구부 유역총량연구과) ;
  • 김용석 (국립환경과학원 물환경연구부 유역총량연구과)
  • Received : 2017.09.08
  • Accepted : 2017.10.26
  • Published : 2017.11.30

Abstract

Nutrient (i.e., nitrogen and phosphorus) budgets are required under a 'Livestock Excreta Survey'. A nutrient budget is one of the agri-environmental indicators that calculates the difference between the inputs and outputs of the amount of nutrients within a certain boundary and for a certain time period (e.g., 1 year). In this study, a nutrients budget model was developed to effectively determine the surplus of nutrients within a region in Korea. The C# program language was used in order to facilitate the deployment of a graphical user interface (GUI) and to enhance compatibility. Also, the model was developed on Windows OS, which is the commonly used operating system in Korea. The model was based on the OECD/Eurostat nutrient budget method, and it was modified to consider manure composting procedures as well. There are key features of the nutrient budget model, including directly use of the original data sets from various input and output sources, and a collectively exchange of the address in different formats. The model can quickly show the results of various spatial and temporal resolutions with the same data, as well as perform a sensitivity analysis with coefficients and easily compareresults using tables and graphs. Further, it would be necessary to study the extension of the scope of utilization, such as the application of various nutrient budget methods. It would also be helpful to investigate both pre and postprocessing information such as linking input data through online systems.

Keywords

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