• 제목/요약/키워드: climatic index

검색결과 186건 처리시간 0.132초

Seasonal Variation in Carcass Characteristics of Korean Cattle Steers

  • Piao, M.Y.;Baik, M.
    • Asian-Australasian Journal of Animal Sciences
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    • 제28권3호
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    • pp.442-450
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    • 2015
  • Climate temperature affects animal production. This study was conducted to evaluate whether climatic conditions affect beef carcass characteristics of Korean cattle steers. The monthly carcass characteristics of Korean cattle steers (n = 2,182,415) for 8 yr (2006 through 2013) were collected from the Korean Institute for Animal Products Quality Evaluation. Daily climate temperature (CT) and relative humidity (RH) data were collected from the Korean Meteorological Administration. Weather conditions in South Korea during summer were hot and humid, with a maximum temperature of $28.4^{\circ}C$ and a maximum RH of 91.4%. The temperature-humidity index (THI), calculated based on CT and RH, ranges from 73 to 80 during summer. Winter in South Korea was cold, with a minimum temperature of $-4.0^{\circ}C$ and a wind-chill temperature of $-6.2^{\circ}C$. Both marbling score (MS) and quality grade (QG) of Korean cattle steer carcasses were generally best (p<0.05) in autumn and worst in spring. A correlation analysis showed that MS and QG frequencies were not associated (p>0.05) with CT. Yield grade (YG) of Korean cattle steer carcasses was lowest (p<0.05) in winter (November to January) and highest in spring and summer (May to September). A correlation analysis revealed that YG frequency was strongly correlated ($r{\geq}0.71$; p<0.01) with CT and THI values. The rib eye area, a positive YG parameter, was not associated with CT. Backfat thickness (BT), a negative YG factor, was highest in winter (November and December). The BT was strongly negatively correlated ($r{\leq}-0.74$; p<0.01) with CTs. Therefore, the poor YG during winter is likely due in part to the high BT. In conclusion, YG in Korean cattle steer carcasses was worst in winter. QGs were not associated with winter or summer climatic conditions.

일평균기온(1971~2013)을 이용한 수원지역의 기후학적 식물생육기간의 변화 경향 (Trend of Climatic Growing Season using Average Daily Temperature (1971~2013) in Suwon, Korea)

  • 정명표;심교문;김용석;최인태;소규호
    • 한국기후변화학회지
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    • 제5권4호
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    • pp.285-289
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    • 2014
  • The extension of growing season (GS) across the Northern Hemisphere have been linked to increasing temperature, related with global warming. Therefore, in this study, The start, end, and length of GS in Suwon, Korea from 1971 to 2013 based on observed daily mean air temperature are examined using three indices. The GS starts on average after $98.598.5{\pm}1.42$ Julian days and ends after $318.7{\pm}1.08$ Julian days. The average length of GS is $220.2{\pm}2.09$ Julian days. The length of GS in Suwon from 1971 to 2013 has been extended by 6.8 days/decade with an earlier onset of the GS (-4.1 days/decade) and later end of the GS (2.7 days/decade). This change may be due to an advanced start of the GS in spring rather than later end of the GS. In further study, it is necessary to select an index carefully to find the most suitable one for Korea.

가연성 폐기물 고형연료(SRF) 사업의 경제성 분석 (The Economic Analysis of A Solid Refuse Fuel (SRF) Project in the Urban Area)

  • 장은미;조용성
    • 한국기후변화학회지
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    • 제4권3호
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    • pp.245-254
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    • 2013
  • 정부에서는 지구온난화에 따른 이산화탄소 저감 및 자원순환형(Zero Waste) 사회구축을 위해 가연성 폐기물을 대상으로 한 고형연료화 사업을 추진 중에 있다. 본 연구에서는 가연성 폐기물 고형연료(SRF) 사업에 대하여 추가 편익을 고려한 경제성 평가를 실시하였다. 경세성 분석은 수도권매립지에 반입되는 폐기물을 대상으로 한 SRF 시설을 가정하였으며, 비용은 건설비와 운영비를 고려하고, 편익으로는 열 및 전력 판매비, 환경 편익, 매립대체 편익을 고려하였다. 결론적으로 SRF 사업은 환경편익 등 기타 사업시행에 대한 편익을 고려하면 1.0으로 산출되었으며, 이 결과는 전력가격 및 물가변동에 따른 인건비 등에 큰 영향을 받는 것으로 분석되었다. 따라서 SRF 사업의 지속성을 위해서는 정부의 투자비 지원뿐만 아니라, 전력판매에 따른 적정한 정책지원 방향 설정 등이 필요 하다.

Multivoltine and Bivoltine Silkworm F1 Hybrids Adaptable to Type One (1) Climatic Conditions in the Philippines

  • Marlyn M. Viduya;Maricris E. Ulat;Gemma E. Supsup;Julieta P. Abuan;Edgar P. Sanchez;Roel D. Supsup
    • International Journal of Industrial Entomology and Biomaterials
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    • 제47권1호
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    • pp.34-43
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    • 2023
  • The eighteen (18) F1 hybrid combinations were tested to identify potential combinations adaptable to type 1 climatic conditions in the Philippines. The six (6) bivoltine purelines (DMMMSU 108, DMMMSU 109, DMMMSU 110, DMMMSU 111, DMMMSU 113, and DMMMSU 119); and three (3) multivoltine purelines (DMMMSU 1000, DMMMSU 1007, and DMMMSU 1014), were crossed (multivoltine x bivoltine) in a mating plan. These were arranged in a Completely Randomized Design (CRD), replicated three times, and analyzed using Analysis of Variance (ANOVA). A test of significance was done using ANOVA across years and Tukey's Honest Significant Difference Test (HSD). The multiple trait evaluation index (EI) method was also used in the identification of potential F1 hybrids. Three major phases were done: (1) parental rearing of multivoltine and bivoltine pure lines for breed multiplication; (2) hybridization process; and (3) evaluation of F1 hybrids. Rearing evaluations were conducted for three consecutive years. Based from the three evaluations, 10 potential crosses were identified: DMMMSU MV-12, DMMMSU MV-11, DMMMSU MV-13, DMMMSU MV-16, DMMMSU MV-07, DMMMSU MV-14, DMMMSU MV-05, DMMMSU MV-09, DMMMSU MV-03, and DMMSU MV-10. The topmost combinations with the best economic and commercial characters and are consistently adaptable during two (2) cropping seasons were DMMMSU MV-07, DMMMSU MV-12, DMMMSU MV-05, DMMMSU MV-09 and DMMMSU MV-11. These newly-identified F1 hybrids are considered potential breeds that could improve cocoon production.

RS, GIS를 이용한 기상, 수문, 농업 가뭄의 평가 (Assessment of Climatic, Hydrological and Agricultural Brought Using RS and GIS Techniques)

  • 권형중;신사철;김성준
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2005년도 학술발표회 논문집
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    • pp.127-131
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    • 2005
  • NOAA/AVHRR 위성영상을 이용하여 기상학적 가뭄을 평가하고, SWSI (Surface Water Supply Index)를 보완한 MSWSI (Modified SWSI)를 이용하여 전국을 32개 유역으로 분할 및 적용하여 수문학적인 가뭄을 평가하고, 농업용 저수지의 유입량 및 저수량을 이용하여 용수구역 단위의 농업가뭄을 평가하였다. 기상학적 가뭄평가를 위해서 NOAA/AVHRR 위성영상으로부터 추출된 실제증발산량과 Hamon 방법에 의하여 산정된 잠재증발산량을 이용하여 기후학적 물수지 분석을 수행하고 가뭄파악을 위한 지표인 습윤지표 분포도를 작성하였다. 수문학적 가뭄평가를 위해서 강우량, 하천유량, 댐유입량, 지하수위 자료를 이용하여 1974년부터 2001년까지의 유역단위 MSWSI 값을 산정하였다. 농업 가뭄을 평가하기 위하여 안성시 고삼저수지의 저수량과 SLURP 모형을 이용하여 산정한 유입량으로서 안고용수구역에 대하여 농업 가뭄을 평가하였다.

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Performance Analysis of Grid-Connected PCS for PV System by Field Demonstration Test

  • So J.H.;Jung Y.S.;Yu G.J.;Jung M.W.;Kang G.H.;Choi J.Y.
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2003년도 춘계전력전자학술대회 논문집(2)
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    • pp.516-519
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    • 2003
  • 3kW photovoltaic (PV) systems and data acquisition system are constructed for performance analysis of PV system at field demonstration test center (FDTC) of Korea. As climatic and irradiation conditions are varied, the performance characteristics of PV system are collected and analyzed in data acquisition system. From these results, the performances of gird-connected power conditioning system (PCS) fur PV system have been evaluated and analyzed. Furthermore, performance indices of grid-connected PCS e.g. output power, efficiency, loss factor, and the other index at the site are reviewed.

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Estimation of Water Balance based on Satelite Date in the Korean Peninsula

  • Shin, Sha-Chul;Sawamoto masaki, Sawamoto-Masaki
    • Korean Journal of Hydrosciences
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    • 제8권
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    • pp.97-110
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    • 1997
  • Quantifying water balance components is crucial to understanding the basic hydrology and hydrochemistry. An importance of water balace studies has been emphasized from the need to grasp the actual condition of water resources and environmental changes including climatic changes. This paper proposes a method for evaluating water balance components based on the vegetation monitor using remote sensing data. Here, the evapotranspiration model adopts a direct method by using NDVI(Normalized Difference Vegetation Index) calculated from NOAA/AVHRR data and a detailed descriptionof water balance by using the evapotranspiration over the Korean Peninsula. In the study, areal distribution data sets of water balance components are produced using NDVI and a simplified water balance model. This method enables one to discuss the hydrological problems for North Korea where insufficient meteorological and hydrological data exist. The results obtained indicate the specific regional features on water inventory and fluctuation in water balance.

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Nonlinear Multivariable Analysis of SOI, Precipitation, and Temperature in Fukuoka, Japan

  • Jin, Young-Hoon;Akira, Kawamura;Kenji, Jinno;Ronny, Berndtsson
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2004년도 학술발표회
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    • pp.124-133
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    • 2004
  • Global climate variations are expected to affect local hydro-meteorological variables like precipitation and temperature. The Southern Oscillation (SO) is one of the major driving forces that give impact on regional and local climatic variation. The relationships between SO and local climate variation are, however, characterized by strong nonlinear variation patterns. In this paper, the nonlinear dynamic relationship between the Southern Oscillation Index (SOI), precipitation, and temperature in Fukuoka, Japan, is investigated using by a nonlinear multivariable approach. This approach is based on the joint variation of these variables in the phase space. The joint phase-space variation of SOI, precipitation, and temperature is studied with the primary objective to obtain a better understanding of the dynamical evolution of local hydro-meteorological variables affected by global atmospheric-oceanic phenomena.

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NCDC데이터를 활용한 냉난방도일 산정 및 계산방법에 관한 연구 (A Study on Heating and Cooling Degree-Days Calculation Methods with NCDC Data)

  • 서동현;송유진
    • 한국태양에너지학회 논문집
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    • 제33권6호
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    • pp.77-84
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    • 2013
  • Degree-day method is very simple but essential index to estimate heating and cooling energy demand in buildings. It has been neglected, however, for the simplicity so it is difficult to find any DB for south Korean cities. Even meteorological department of S. Korea doesn't report the data officially. In this study, current methods that are being used in many countries are investigated and used to calculate degree-days of 35 south Korean cities with 30 years(1981~2010) historical data. The calculation result indicates that the error among 4 major methods are dependent on how daily or hourly temperature are treated in the calculation and how balance point temperature is defined. The errors of the methods are no larger than 6% relative to hourly degree-day method.

Developing a Mathematical Model For Wheat Yield Prediction Using Landsat ETM+ Data

  • Ghar, M. Aboel;Shalaby, A.;Tateishi, R.
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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    • pp.207-209
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    • 2003
  • Quantifying crop production is one of the most important applications of remote sensing in which the temporal and up-to-date data can play very important role in avoiding any immediate insufficiency in agricultural production. A combination of climatic data and biophysical parameters derived from Landsat7 ETM+ was used to develop a mathematical model for wheat yield forecast in different geographically wide Wheat growing districts in Egypt. Leaf Area Index (LAI) and fraction of Absorbed Photosynthetically Active Radiation (fAPAR) with temperature were used in the modeling. The model includes three sub-models representing the correlation between the reported yield and each individual variable. Simulation results using district statistics showed high accuracy of the derived correlations to estimate wheat production with a percentage standard error (%S.E.) of 1.5% in El- Qualyobia district and average (%S.E.) of 7% for the whole wheat areas.

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