Study on Enhanced Methods for Calculating NH3 Emissions from Fertilizer Application in Agriculture Sector

Abstract

Ammonia is a representative PM-2.5 secondary product, and the need for management is emerging as health and living damage caused by fine particulate matter worsens. The main source of ammonia is the agricultural sector, and in Korea, 79% of the total ammonia emissions are emitted from the agricultural sector. Among them, there is high uncertainty about how to calculate emissions from ammonia discharged from fertilizer use, and inventory in the U.S. and Europe is borrowed, so inventory needs to be improved according to the situation in Korea. In this study, the ammonia inventory in the agricultural sector in Korea and abroad was examined, and additional activity data that can be used were reviewed. In addition, in order to improve the emission calculation method, the emission was calculated in three ways by different factors. As a result, it was confirmed that the amount of discharge varies depending on the type of soil use or whether cultivated crops are considered, and the possibility of excessive fertilizer top-dress by farmers was confirmed. In order to calculate the emission at a more detailed level based on this study, basic data such as fertilizer input method and regional distribution of crops should be systematically collected, and related follow-up studies should be conducted.

A method to reduce open optical path noise interference in two-dimensional gas detection of farmland

“…[6][7][8][9] The measurement requirements in this paper are based on large scale open space, for example, in agricultural production, with homogeneous two-dimensional gas distribution. 10,11 The measuring sensitivity and accuracy of this detection cannot achieve a sufficient level while detecting the open-area of farmland due to the long detection optical path, which results in a signal that is relatively weak and has a very low signal-to-noise ratio. 12 Consequently, effective pre-processing of spectral signals is required to acquire precise concentration information.…”