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A Study on the Improvement of Spatiotemporal Resolution about Fugitive Dust Activity Data in the Agriculture Field

농업분야 비산먼지 활동도 자료의 시공간 해상도 개선 연구

  • Received : 2022.02.05
  • Accepted : 2022.02.28
  • Published : 2022.02.28

Abstract

The emission factor and activity data of fugitive dust in the domestic agricultural field have been applied to the US inventory system without reflecting the domestic environmental conditions (wind speed, humidity, etc.) and agricultural characteristics. In this study, the temporal resolution was improved for each region by deriving a monthly distribution factor through the application of wind speed and dry season and the spatial resolution was improved for each region by subdivided into dong and ri from ci·gun·gu. Through this study, it is judged that it can be used as an important data for improving the emission and activity data of fugitive dust in the agricultural field that currently exist.

국내 농업 분야 비산먼지의 배출계수와 활동도 자료는 국내의 환경조건(풍속, 습도 등)과 농업의 특성을 반영하지 않고 미국의 인벤토리 체계를 그대로 적용해 왔다. 이 연구에서는, 활동 자료 중 하나인 시간 해상도는 풍속 및 건기일수 적용을 통해 월별 배분계수를 도출하여 지역별로 시간 해상도를 향상시켰고, 공간 해상도는 시·군·구에서 동과 리로 세분화하여 지역별로 공간 해상도를 향상시켰다. 이 연구를 통해, 지금 존재하는 농업분야의 비산먼지의 배출량, 활동도 자료의 개선에 중요한 자료로 활용될 수 있을 것으로 판단된다.

Keywords

Acknowledgement

본 연구는 농촌진흥청 국립농업과학원 "미세먼지 배출량 산정 고도화를 위한 농축산분야 활동자료 개선 및 GIS기반 활동도 DB 구축(과제번호: PJ0149092021)" 의 지원으로 수행되었습니다.

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