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RISS 활용도 분석
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일본/중국/유럽자료
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최신/인기 학술자료
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해외논문구매대행(E-DDS)
http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : 김백조(Baek-Jo Kim) (검색결과 100 건)
- 무료
- 기관 내 무료
- 유료
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김대영(Dae-Young Kim), 김연희(Yeon-Hee Kim), 김지희(Ji-Hee Kim), 김백조(Baek-Jo Kim) 한국신재생에너지학회 2017 신재생에너지 Vol.13 No.2
This study examined numerically the spatial characteristics of the wind resource in Jeju Island using Computational fluid Dynamics (CFD). The initial conditions for the numerical simulation were set to varying wind speeds (3, 5, 13 and 25 [m/s]), which corresponded to wind speeds between the cut-in and cut-out for wind turbine operations, and 12 different wind directions. The result shows that the normalized velocity decreases with height, having similar values between 500 m and 1100 m. The normalized velocity also tended to increase at altitudes higher than 1100 m. The blocking effect by Mt.Halla located on the center of Jeju Island generates a massive wake. The wind speed deficits by the wake effects have a large influence on the lee side of Mt.Halla up to more than 10 km. Overall, the averaged values of normalized velocity and turbulence intensity lie in the range, 0.73~0.77 and 0.078~0.083, respectively. Four regions (Eoseoungsaengak, Seongneol, Keunnokkome and Sanbangsan) with severe wind speed reductions were found, and showed 70%, 55%, 50% and 50% wind speed reductions, respectively.
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POLICY & ISSUES 기획특집_1 - 기후변화 시대에 대비한 국가기상업무 발전 계획
김백조,Kim,,Baek-Jo 환경보전협회 2012 환경정보 Vol.401 No.-
현재 추세대로 온실가스를 계속 배출한다면(RCP8.5) 21세기 말(2070~2099년) 한반도 평균 기온은 $6.0^{\circ}C$ 상승하고 강수량은 20.4% 증가할 것으로 예상된다. 정부에서도 극한의 기상 기후 현상과 사회구조 및 생활양식 변화에 따른 새로운 패러다임에 맞는 혁신적 융합 기상기술 수요에 능동적으로 대응하기 위해 2차 년도 기상업무발전 기본계획을 수립하여 시행하고 있다.
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제한적인 기상자료 조건에서의 잠재증발산량 추정을 위한 FAO56 Penman-Monteith 방법의 적용성 분석
김세진(Kim, Sea Jin), 김문일(Kim, Moon-il), 임철희(Lim, Chul-Hee), 이우균(Lee, Woo-Kyun), 김백조(Kim, Baek-Jo) 한국기후변화학회 2017 한국기후변화학회지 Vol.8 No.2
This study is conducted to estimate potential evapotranspiration of 10 weather observing systems in Andong Dam watershed with FAO56 Penman-Monteith (FAO56 PM) methodology using the meteorological data from 2013 to 2014. Also, assuming that there is no solar radiation data, humidity data or wind speed data, the potential evapotranspiration was estimated by FAO56 PM and the results were evaluated to discuss whether the methodology is applicable when meteorological dataset is not available. Then, the potential evapotranspiration was estimated with Hargreaves method and compared with the potential evapotranspiration estimated by FAO56 PM only with the temperature dataset. As to compare the potential evapotranspiration estimated from the complete meteorological dataset and that estimated from limited dataset, statistical analysis was performed using the Root Mean Square Error (RMSE), the Mean Bias Error (MBE), the Mean Absolute Error (MAE) and the coefficient of determination (R2). Also the Inverse Distance Weighted (IDW) method was performed to conduct spatial analysis. From the result, even when the meteorological data is limited, FAO56 PM showed relatively high accuracy in calculating potential evapotranspiration by estimating the meteorological data.
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김현욱(Kim, Hyunuk), 김백조(Kim, Baek-Jo), 김해민(Kim, Hae-Min), 이진화(Lee, Jin-Hwa), 심재관(Shim, Jae-Kwan) 한국방재학회 2020 한국방재학회논문집 Vol.20 No.1
'스콜라' 이용 시 소속기관이 구독 중이 아닌 경우, 오후 4시부터 익일 오전 7시까지 원문보기가 가능합니다.
본 연구는 대설 피해가 빈번하게 발생하는 10개 관측지점을 대상으로 피해유발 임계값을 추정하였다. 또한, 추정된 임계값을기반으로 유사한 지역을 구분하고 그 특징을 조사하였다. 연구 자료는 기상청에서 제공하는 신적설 관측 자료와 행정안전부에서발행되는 재해연보의 피해 자료를 사용하였다. 연구방법은 로지스틱회귀분석, Critical Success Index, Probability of Detection 그리고 False-Alarm Ratio를 적용하였다. 연구 결과, 추정된 임계값은 지역별로 차이를 보였다. 이와 같은 결과는 분석방법, 지역별 방재대책, 지역주민의 대처, 구조물의 취약성 그리고 기상현상 등 많은 요인이 원인으로 판단된다. 또한, 추정된임계값을 활용하여 임계값이 민감한 지역, 임계값의 차이가 큰 지역과 작은 지역은 각각 해안지역, 강원지역, 내륙지역에대응되었다. 강원지역은 강설의 지속시간이 길고, 폭설이 관측된 경우가 많았으나, 내륙지역은 상대적으로 약한 강설과 짧은강설 지속시간을 보였다. In this study, the estimation of damage-causing thresholds and their application to regional classification were examined using logistic regression, critical success index, probability of detection, and a false-alarm ratio. For 10 stations where damage caused by heavy snow occurred frequently, the fresh snow depth data provided by the Korea Meteorological Administration and heavy snow-related damage data obtained by the Ministry of Interior and Safety were used. Results show that the estimated thresholds differed by region. These results are attributed to many factors such as analysis methods, regional disaster protection, the response of local residents, vulnerability of structures, and meteorological characteristics. Additionally, based on estimated thresholds, the area with the highest threshold-sensitivity and the areas with the most internal differences and similarities between calculated thresholds corresponded to the coastal region, the Gangwon region, and the inland region, respectively. Gangwon region, where heavy snow was often observed, had a long duration of snowfall, whereas inland regions faced snowfalls that were relatively weaker in intensity and shorter in duration.
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최근 5년간 강원 영동지역의 대설과 관련된 기상요소의 변화 특성
김해민(Kim, Hae-Min), 인소라(In, So-Ra), 이진화(Lee, Jin-Hwa), 박창근(Park, Chang-Geun), 김백조(Kim, Baek-Jo) 한국기후변화학회 2019 한국기후변화학회지 Vol.10 No.3
In this study, based on 10 cases of heavy snowfall observed in the Youngdong area during the past five years (2014‐2018), the characteristics of surface and upper‐air meteorological element change were examined. Automated Surface Observing System (ASOS) data from Bukgangneung (BGN), radiosonde data from Gangneung, buoy data from the East Sea, and ERA‐5 reanalysis data over East Asia were used. Heavy snowfall occurs when sea level pressure increases and air temperature at the surface decreases. Analysis of upper‐air sounding data showed that the more snowfall occurs, the higher the altitude of northwesterly wind. The air‐sea temperature difference in East Sea associated with heavy snowfall was relatively high compared to previous studies. Heavy snowfall was observed at a Precipitable Water Vapor (PWV) of more than 5 mm and a Storm Relative Helicity (SRH, 0~3 km) of 16 to 183 ㎡s<SUP>‐2</SUP>. However, SRH in most cases was lower than the threshold value (150 ㎡s<SUP>‐2</SUP>) for producing precipitation. Also, during heavy snow warnings, snowfall occurred heavily in a relatively short period of time compared with conditions during heavy snow advisories.
DBpia
KCI
