• 한국수자원학회논문집
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• 제51권10호
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• pp.839-852
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• 2018

본 연구의 목적은 기상자료(강수량, 최고기온, 최저기온, 평균기온, 평균풍속) 기반의 다중선형 회귀모형을 개발하여 농업용저수지 저수율을 예측하는 것이다. 나이브 베이즈 분류를 활용하여 전국 1,559개의 저수지를 지리형태학적 제원(유효저수량, 수혜면적, 유역면적, 위도, 경도 및 한발빈도)을 기준으로 30개 군집으로 분류하였다. 각 군집별로, 기상청 기상자료와 한국농어촌공사 저수지 저수율의 13년(2002~2014) 자료를 활용하여 월별 회귀모형을 유도하였다. 저수율의 회귀모형은 결정계수($R^2$)가 0.76, Nash-Sutcliffe efficiency (NSE)가 0.73, 평균제곱근오차가 8.33%로 나타났다. 회귀모형은 2년(2015~2016) 기간의 기상청 3개월 기상전망자료인 GloSea5 (GS5)를 사용하여 평가되었다. 현재저수율과 평년저수율에 의해 산정되는 저수지 가뭄지수(Reservoir Drought Index, RDI)에 의한 ROC (Receiver Operating Characteristics) 분석의 적중률은 관측값을 이용한 회귀식에서 0.80과 GS5를 이용한 회귀식에서 0.73으로 나타났다. 본 연구의 결과를 이용해 미래 저수율을 전망하여 안정적인 미래 농업용수 공급에 대한 의사결정 자료로 사용할 수 있을 것이다.

• Ocean and Polar Research
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• 제24권1호
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• pp.19-31
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• 2002

Precipitation variability around King Sejong Station related with E1 $Ni\~{n}o$/Southern Oscillation (ENSO) is evaluated using the gauge-based monthly data of its neighboring stations. Though three Ant-arctic Stations of King Sejong (Korea), Frei (Chile), and Artigas (Uruguay) are all closely located within 10 km, their precipitation data show mostly insignificant positive or rather negative correlations among them in the annual, seasonal and monthly precipitation. This result indicates that there are locally large variations in the distribution of precipitation around King Sejong Station. The monthly data of Frei Station for 31 years (1970-2000) are analyzed for examining the ENSO signal in precipitation because of its longer precipitation record compared to other two stations. From the analysis of seasonal precipitation, it is seen that there is a tendency of less precipitation than the average during E1 $Ni\~{n}o$ events. This dryness is more distinct in fall to spring seasons, in which the precipitation decreases down to about 30% of seasonal mean precipitation. However, the precipitation signal related with La $Ni\~{n}a$ events is not significant. From the analysis of monthly precipitation, it is found that there is a strong negative correlation during 1980s and in the late 1990s, and a weak positive correlation in the early 1990s between normalized monthly precipitation at Frei Station and Sea Surface Temperature (SST) anomalies in the $Ni\~{n}o$ 3.4 region. However, this relation may be not applied over the region around King Sejong Station, but at only one station, Frei.

• 한국수자원학회논문집
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• 제54권9호
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• pp.731-745
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• 2021

본 연구에서는 글로벌 기후지수 및 한강권역의 기상자료를 예측인자로 하는 통계적 다중회귀모형을 구성하여 한강권역의 월 평균기온에 대한 장기예측을 수행하였다. 예측대상인 월 평균기온과 선행기간별 예측인자와의 원격상관성 분석을 기반으로 최적의 예측인자를 선별하였으며, 선별된 예측인자를 조합하고 과거기간에 대한 교차검증을 통하여 최대 12개월까지 선행예측이 가능한 다중회귀모형 기반의 예측모형을 구성하였다. 과거 1992년 1월부터 2020년 12월을 대상으로 월 평균기온에 대한 예측성을 분석한 결과, PBIAS는 -1.4 ~ -0.7%, RSR은 0.15 ~ 0.16, NSE는 0.98, r은 0.99로 높은 적합성을 나타내었다. 각 월별 관측치가 예측범위에 포함될 확률은 평균 약 64.4%로 나타났으며, 월별로는 9월, 12월, 2월, 1월의 예측성이 상대적으로 높고, 4월, 8월, 3월의 예측성이 낮은 것으로 분석되었다. 평년 대비 유난히 낮거나 높은 기온을 보였던 일부 기간을 제외하고 대체로 예측치의 범위 또는 예측치의 중앙값 등이 관측치와 잘 부합하는 것으로 나타났다. 본 연구에서 도출되는 정량적 기온예측정보는 미래기간(선행 1 ~ 12개월)의 기온에 대한 변화뿐만 아니라, 기온과 상관도가 높은 증발산량을 비롯한 수문생태환경에 대한 변화를 전망하는 경우에도 유용하게 활용될 수 있을 것이다.

• 수산해양기술연구
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• 제46권1호
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• pp.70-81
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• 2010

A mathematical model is formulated to study the effect of wall mass on the thermal performance of four different houses of different construction. This analytical study was motivated by the experimental work of Burch et al. An analytical solution of one -dimensional, linear, partial differential equation for wall temperature profiles and room air temperatures is obtained using the Laplace transform method. Typical Meteorological Year data are processed to yield hourly average monthly values. These discrete data are then converted to a continuous, time dependent form using a Fast Fourier Transform method. This study is conducted using weather data from four different locations in the United States: Albuquerque, New mexico; Miami, Florida; Santa Maria, California; and Washington D.C. for both winter and summer conditions. A computer code is developed to calculate the wall temperature profile, room air temperature, and energy consumption loads. Three sets of results are calculated one for no auxiliary energy and two for different control mechanism -- an on-off controller and a proportional controller. Comparisons are made for the cases of two controllers. Heavy weight houses with insulation in mild weather areas (such as August in Santa Maria, California) show a high comfort level. Houses using proportional control experience a higher comfort level in comparison to houses using on-off control. The result shows that there is an effect of mass on the thermal performance of a heavily constructed house in mild weather conditions.

• The Korean Journal of Physiology
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• 제6권2호
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• pp.23-30
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• 1972

Contrary to most of European and American investigators failed to find out the seasonal variations of basal metabolic rate in man, Japanese and Korean investigators reported the increase in winter, decrease in summer season. But the causes of variation were not found clearly. To find out whether metabolic acclimatization to climate could be arise or not in human being, the basal metabolic rate was determined monthly for a period of one year in Airmen volunteers who live in Seoul, with 9 l Collins spirometer. The results obtained were as follows: 1. The average ambient temperature was lowest in February $(-5.88^{\circ}C)$ and highest in July $(27.34^{\circ}C)$. 2. Basal metabolic rate was lowest in June and highest in December showing seasonal variations. Interestingly, the increase of basal metabolic rate followed after the drop of ambient temperature below $0^{\circ}C$ (December) and the decrease followed after the elevation of ambient temperature from optimum to hot (June) or cold to warm (March). 3, Mean skinfold thickness increased in spring, decreased in winter. 4. These findings indicate that the basal metabolic rate of Korean reveals the seasonal variation affected by ambient temperature highly.

• 대한토목학회논문집
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• 제30권1B호
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• pp.71-80
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• 2010

본 연구에서는 도시화가 기상요소(기온, 풍속, 상대습도, 일사량, 강수량)와 기준증발산에 미치는 영향을 분석하였다. 이를 위하여 연구지역을 6개의 도시지역과 도시지역 인근에 위치한 6개의 비도시화지역으로 구분하였다. 기상청에서 운영하는 12개 기상관측소에서 관측된 월평균 일 기상자료를 수집하였고, 기상요소의 변화분석을 수행하였다. 본 연구결과에 의하면 도시지역의 경우 뚜렷한 기준증발산의 증가추세를 보이고 있는 반면에 비도시화 지역의 경우 기준증발산이 감소하는 추세인 것으로 나타났다. 특히 도시지역의 기준증발산 증가추세와 비도시화 지역의 기준증발산 감소추세로 인하여 도시화가 기준증발산에 미치는 도시영향은 증가하는 것으로 나타났다. 월별자료 분석결과 여름철에 해당하는 7월의 경우 다른 계절(1월, 4월, 10월)과 비교하여 도시화가 기준증발산에 미치는 도시효과는 증가하였다. 연별 및 월별 도시화가 기준증발산에 미치는 영향은 도시화가 일사량, 상대습도 그리고 기온 변화에 미치는 영향과 밀접한 상관성이 있으며, 도시화가 풍속에 미치는 영향과는 상관성이 적은 것으로 나타났다.

• 한국환경과학회지
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• 제15권7호
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• pp.653-657
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• 2006

Based on the monthly weather report of Korea Meteorological Administration (KMA) and daily sea surface temperature (SST) data from National Fisheries Research and Development Institute (NFRDI) (1995-2004), mean heat fluxes were estimated at the port of Yeosu. Net heat flux was transported from the air to the sea surface during February to September, and it amounts to $205 Wm^{-2}$ in daily average value in May. During October to January, the transfer of net heat flux was conversed from the sea surface to the air with $-70 Wm^{-2}$ in minimum of daily average value in December. Short wave radiation was ranged from $167 Wm^{-2}$ in December to $300 Wm^{-2}$ in April. Long wave radiation (Sensible heat) was ranged from $27 (-14) Wm^{-2}$ in July to $90 (79) Wm^{-2}$ in December. Latent heat showed $42 Wm^{-2}$ with its minimum in July and $104 Wm^{-2}$ with its maximum in October in daily average value.

• 한국환경복원기술학회지
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• 제8권1호
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• pp.45-51
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• 2005

Total phosphorus(TP) removal was examined in a surface-flow wetland constructed in April 2003 during its initial operating stage from June to November 2003. Its dimensions were 87mL by 14mW. It was a part of a four-wetland-cell treatment system constructed near the Kohung Estuarine Lake located in the southern part of Korea. Effluent from a night soil treatment plant was discharged into the wetland and purified effluent from the wetland was discharged into Sinyang Stream flowing into the Lake. Cattails(Typha angustifolia ) from natural wetlands were cut at about 40 cm height and transplanted into the wetland. An average of 25.0$m^3$/day of effluent flowed from the plant into the wetland. Water depth was maintained about 0.2m and hydraulic detention time was about 5.2 days. Average heights of the cattail stems in June and October 2003 were 47.2 and 164.6cm, respectively. The average number of stems was 10.2 stems/$m^2$ in June 2003 and 18.8 stems/$m^2$ in October 2003. Average temperature of influent and effluent ranged 23.4 and $24.2^{\circ}C$, respectively. The average TP concentrations of influent and effluent were about 1.31, 0.50mg/L, respectively. TP loading rate of influent into the wetland averaged 26.81mg/$m^2$, day and average TP loading rate of effluent was 10.04mg/$m^2$, day. Monthly average TP removal by the wetland during the warm growing season of cattails(June to September) ranged 16.28~19.57mg/$m^2$, day and during the cold senescent period (October to November) ranged 12.62~13.90mg/$m^2$, day. TP removal in the wetland continued during the cold winter months and was primarily done by sedimentation and precipitation of phosphorus rather than phosphorus absorption by cattails and microorganisms.

• 한국지리정보학회지
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• 제19권4호
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• pp.199-217
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• 2016

본 연구는 부산광역시 13개 기상관측지점을 대상으로 1997~2014년 동안의 기온상승율과 하강율의 계절적 특성이 연간 기온변화 특징에 미치는 영향을 분석하였다. 일별 기온 자료를 시계열적으로 단순화하기 위해 푸리에분석법을 적용하였는데, 이는 기상 자료와 같이 연속적으로 수집되는 시계열자료를 몇 개의 한정된 주요 파형으로 환원하여 자료를 단순화하는 수학적 기법이다. 부산광역시의 국지적 기온변화율은 대륙도에 의해 공간적으로 큰 영향을 받는 것으로 조사되었다. 계절적으로는 3월에 가장 높은 기온상승율(평균 $1.121^{\circ}C/month$)을 보였고, 11월에 가장 가파른 기온하강율(평균 -$1.564^{\circ}C/month$)을 나타냈다. 지역적으로 최난월인 8월 평균기온에 지배적인 영향을 주는 7월 평균기온상승율과 대륙도가 높은 지역일수록 최난일이 일찍 출현한 것으로 보아, 해양의 영향이 적은 지역일수록 기온상승률이 높고 해양 인접 지역에 비해 연중최고기온에 도달하는 시기가 앞당겨지는 것으로 분석되었다. 연구 지역 관측 지점 전체를 평균한 연도별 분석 결과도 7월 평균기온이 높은 해일수록 최난일 출현은 시기적으로 앞당겨지는 경향을 나타냈다. 도시화 정도를 나타내는 불투수면의 면적 비율 역시 기온의 연 변화와 통계적으로 상관관계를 갖는 것으로 나타났다. 관측지점의 불투수면 면적비율이 증가할수록 연평균기온이 높게 나타났고, 연평균 기온상승율과 하강율의 장기적 변동 폭도 크게 나타났다.

• 한국물환경학회지
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• 제29권2호
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• pp.155-164
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• 2013

To confirm the relationship between climate change and Stephanodiscus in Mulgeum station of Nakdong River, Korea, this study was conducted. The temperature in crease by climate change was observed in the study site, where the temperature was gradually increased in most seasons, except for summer season. The mass proliferation of Stephanodiscus constantly appeared in every year, especially between November and March, and when Stephanodiscus abundance was above 90% in phytoplankton biomass. Among this period, phytoplankton biomass was high related with water temperature ($r^2$=0.249, P<0.01) than nutrient factors such as nitrogen and phosphorus in the study site. Finally, temperature by climate change can be regarded as the affecting factor for chl. a variation, because temperature was strongly related with water temperature ($r^2$=0.748, P<0.01). From 1997 to 2010, the annual maximum phytoplankton biomass was recorded in the range of temperature from $4.8^{\circ}C$ to $8.4^{\circ}C$, and the range was regarded as the temperature condition for the optimal growth of Stephanodiscus in the study site. On the optimal growth temperature, the trend of monthly average temperature corresponded to the trend of chl. a variation from November to March. In future, the increase of temperature by climate change can prolong Stephanodiscus blooming period in winter and spring seasons.