KOREASCHOLAR

풀사료 수량예측모델의 온도 정밀도 향상을 위한 일평균온도 추정 가능성 검토 Possibility of Estimating Daily Mean Temperature for Improving the Accuracy of Temperature in Forage Yield Prediction Model

강신곤, 조현욱, 김지융, 김경대, 이배훈, 김병완, 성경일
  • 언어KOR
  • URLhttp://db.koreascholar.com/Article/Detail/406048
PDF 원문보기
한국초지조사료학회지
Vol. 41 No. 1 (2021.03)
pp.56-61
한국초지조사료학회 (The Korean Society of Grassland and Forage Science)
초록

This study was conducted to determine the possibility of estimating the daily mean temperature for a specific location based on the climatic data collected from the nearby Automated Synoptic Observing System (ASOS) and Automated Weather System(AWS) to improve the accuracy of the climate data in forage yield prediction model. To perform this study, the annual mean temperature and monthly mean temperature were checked for normality, correlation with location information (Longitude, Latitude, and Altitude) and multiple regression analysis, respectively. The altitude was found to have a continuous effect on the annual mean temperature and the monthly mean temperature, while the latitude was found to have an effect on the monthly mean temperature excluding June. Longitude affected monthly mean temperature in June, July, August, September, October, and November. Based on the above results and years of experience with climate-related research, the daily mean temperature estimation was determined to be possible using longitude, latitude, and altitude. In this study, it is possible to estimate the daily mean temperature using climate data from all over the country, but in order to improve the accuracy of daily mean temperature, climatic data needs to applied to each city and province.

키워드
Daily mean temperatureEstimation possibilityLongitudeLatitudeAltitude
목차
ABSTRACT
Ⅰ. 서 론
Ⅱ. 재료 및 방법
    1. 자료 수집
    2. 수치입력 및 자료가공
    3. 분석용 data set
    4. 일평균기온 추정가능성 분석통계분석
Ⅲ. 결과 및 고찰
    1. 연월평균기온의 정규분포 확인
    2. 위치정보와 평균기온과의 관계
    3. 위치정보를 이용한 일평균기온 추정 가능성
Ⅳ. 요 약
Ⅵ. REFERENCES
저자
  • 강신곤(농촌진흥청 국립축산과학원) | Shin Gon Kang (National Institute of Animal Science, RDA)
  • 조현욱(강원대학교 동물생명과학대학)
  • 김지융(강원대학교 동물생명과학대학) | Ji Yung Kim (College of Animal Life Sciences, Kangwon National University)
  • 김경대(강원도농업기술원) | Kyeong Dae Kim (Gangwondo Agricultural Research and Extension Services)
  • 이배훈(농촌진흥청 국립축산과학원) | Bae Hun Lee (National Institute of Animal Science, RDA)
  • 김병완(강원대학교 동물생명과학대학) | Byong Wan Kim (College of Animal Life Sciences, Kangwon National University)
  • 성경일(강원대학교 동물생명과학대학) | Kyung Il Sung (College of Animal Life Sciences, Kangwon National University) Corresponding author