The characteristics of meteorological conditions and air pollution were investigated in a valley city (Yangsan) on bad visibility days (from 05:00 to 09:00 LST) of the cold half year (November 2008 to April 2009). This analysis was performed using the hourly observed data of meteorological variables (temperature, wind speed and direction, relative humidity, and 2 m and 10 m temperature) and air pollutants (NO2, SO2, PM10, and O3). In addition, visibility data based on visual measurements and a visibility meter were used. The bad visibility days were classified into four types: fog, mist, haze, and the mixture (mist+haze). The results showed that the bad visibility days of the four types in the valley city were observed to be more frequently (about 50% of the total study period (99 days except for missing data)) than (27%) those near coastal metropolitan city (Busan). The misty days (39%) in the valley city were the most dominant followed by the hazy (37%), mixture (14%), and foggy days (10%). The visibility degradation on the misty days in Yangsan was closely related to the combined effect of high-level relative humidity due to the accumulation of water vapor from various sources (e.g. river, stream, and vegetation) and strong inversion due to the development of surface radiative cooling within the valley. On the hazy days, the visibility was mainly reduced by the increase in air pollutant (except for O3) concentrations from the dense emission sources under local conditions of weaker winds from the day before and stronger inversion than the misty days. The concentrations of NO2, PM10, and SO2 (up to +36 ppb, +25 ㎍/m3, and +7 ppb) on the hazy days were a factor of 1.4-2.3 higher than those (+25 ppb, +14 ㎍ /m3, and +3 ppb) on the misty days.

The mean wind speed and turbulence intensity profiles in the atmospheric boundary layer were extracted from a LIDAR remote sensing campaign in order to apply for CFD validation. After considering the semi-steady state field data requirements to be used for CFD validation, a neutral atmosphere campaign period, in which the main wind direction and the power-law exponent of the wind profile were constantly maintained, was chosen. The campaign site at the Pohang Accelerator Laboratory, surrounded by 40~50m high hills, with an apartment district spread beyond the hills, is to be classified as a semi-complex terrain. Nevertheless, wind speed profiles measured up to 100m above the ground fitted well into a theoretical-experimental logarithmic-law equation. The LIDAR remote-sensing data of the sub-layer of the atmospheric boundary layer has been proven to be superior to the data obtained by conventional extrapolation of the wind profile with 2 or 3 anemometer measurements.

본 연구에서는 GD8 방법을 이용하여 수치고도모형(DEM)으로부터 제주도의 하천망을 추출, 경사와 지형지수의 공간분포를 구하고 유역면적의 초과확률분포 등의 지형학적 특성을 분석하였다. GD8으로 추출된 하천망은 실제 제주도 지형도에 나타난 하천분포와 유사하였으며 지형지수의 분포는 하천망의 분포와 밀접한 상관성을 보였다. 유역면적의 초과확률분포는 높은 상관계수를 갖는 멱함수(power-law)의 형태를 따르는 것으로 확인되었다. 이는 하천망이 프랙탈(fractal) 구조를 가지고 있음을 보여주는 한 예라고 할 수 있다. 이상의 분석을 통하여 GD8 방법이 수치고도모형을 이용한 수문지형분석에 적절한 방법인 것으로 판단하게 되었다.

The effects of high-resolution wind profiler (HWP) data on the wind distributions were evaluated in two different coastal areas during the study period (23-26 August, 2007), indicating weak-gradient flows. The analysis was performed using the Weather Research and Forecasting (WRF) model coupled with a three-dimensional variational (3DVAR) data assimilation system. For the comparison purpose, two coastal regions were selected as: a southwestern coastal (SWC) region characterized by a complex shoreline and a eastern coastal (EC) region surrounding a simple coastline and high mountains. The influence of data assimilation using the HWP data on the wind distributions in the SWC region was moderately higher than that of the EC region. In comparison between the wind speed and direction in the two coastal areas, the application of the HWP data contributed to improvement of the wind direction distribution in the SWC region and the wind strength in the EC region, respectively. This study suggests that the application of the HWP data exerts a large impact on the change in wind distributions over the sea and thus can contribute to the solution to lack of satellite and buoy data with their observational uncertainty.

본 연구에서는 지형학적 분산을 고려한 특성유속에 따른 Nash 모형 매개변수의 민감도 분석을 실시하였다. 또한 이러한 특성유속의 변동에 따른 순간단위도의 형상의 변화를 수치실험을 통해 비교 분석하였다. 대상유역은 보청천 유역 중 본류에 위치하고 있는 4개의 소유역을 선정하였다. 각 대상유역에 대해 지리정보체계를 이용하여 지표면과 하천의 배수경로길이에 대한 평균과 분산을 산정하였다. 산정된 배수경로길이와 특성유속에 의한 Nash 모형 매개변수를 추정하였다

This study intends to estimate the best model parameters for predicting the water quality and discharge of the study area, and provide the basic data necessary for predicting the water quality and discharge and examining changes in water quality on the basis of the changes hydraulic and hydrological changes and pollutional load of the study area. Nakdong River was selected for analysis, and the water quality survey data necessary for parameter estimation was based on the monthly water quality data (discharge, BOD, T-N and T-P) between December 1, 2002 ~ November 31, 2002. The topographical characteristics factors of the study area were based on the 1/25,000 numerical map published by the National Geographic Information Institute and satellite photographs. The presumed course: It measured the most suitable parameter that could imitate surveyed water quality and discharge using the method of trial and error, in this part the first numerical value was the model parameter presented SWAT. The result of analisys showed that a relative error between surveyed value and the result of water quality imitation about BOD, T-N, T-P that examined by this study, discharge correction : R2=0.912, discharge verification : R2=0.838, correction and verification of BOD : R2=0.847, correction and verification of T-N : R2=0.712 and, correction and verification of T-P : R2=0.726 and, BOD : RK1, RK3, T-N : RS3, RS4, T-P : RS2, RS5, GWSOLP, discharge : ALPAHA_BF, GWQMN, CH_N(2), CN2, SOL_AWC have been considered as the factors of the water quality performed in this water quality simulation, that is, the most effective parameters on BOD, T-N and T-P. It is considered that it will be possible to apply the most optimal parameter to an analysis of the water quality and discharge simulation at study area in the goal year by examining the interaction of the parameters through the parameters sampling which are able to applicable to prediction of the water quality and discharge in the future, also the analysis on the basis of the hydrological conditions: an outflow or the character of a flow will be needed.

The size of minimum order stream has a very sensitive effect on runoff analysis model using the divergence characteristic of stream. Therefore, in this study, the threshold area of minimum order stream has been examined the change characteristic of topographical parameters. The subject basin of the research was the upper basin of the Kumho water gage station which is located in the middle of the Kumho river. The 1:25,000 numerical geography which was constructed 10×10m mesh was used. The range of investigation of topographical parameters are number of stream order, length, area, slope, basin relief, sinuosity ratio, drainage density and total stream length etc. It was found from the result of analysis that the threshold value of minimum order stream has a very big effect on topographical parameters of basin. It was found that the threshold area of minimum order stream revealed under 0.10km2. Furthermore, the parameters showed a serious change except for over 0.10km2.

The subject basin of the research was the basin of Yeongcheon Dam located in the upper reaches of the Kumho River. The parameters of the model were derived from the results of abstracting topological properties out of rainfall-runoff observation data about heavy rains and Digital Elevation Modeling(DEM) materials. This research aimed at suggesting the applicability of the CELLMOD Model, a distribution-type model, in interpreting runoff based on the topological properties of a river basin, by carrying out runoff interpretation for heavy rains using the model. To examine the applicability of the model, the calculated peaking characteristics in the hydrograph was analyzed in comparison with observed values and interpretation results by the Clark Model. According to the result of analysis using the CELLMOD Model proposed in the present research for interpreting the rainfall-runoff process, the model reduced the physical uncertainty in the rainfall-runoff process, and consequently, generated improved results in forecasting river runoff. Therefore it was concluded that the algorithm is appropriate for interpreting rainfall-runoff in river basins. However, to enhance accuracy in interpreting rainfall-runoff, it is necessary to supplement heavy rain patterns in subject basins and to subdivide a basin into minor basins for analysis. In addition, it is necessary to apply the model to basins that have sufficient observation data, and to identify the correlation between model parameters and the basin characteristics(channel characteristics).

지형형태학적 순간단위도(GIUH)는 미계측유역이나 관측자료가 충분하지 않은 유역의 적용을 목적으로 한다. 이를 위해서는 GIUH의 동역학적 매개변수인 특성속도의 정도 있는 추정이 가장 중요한 요소이나 아직까지 그에 대한 정확한 산정방법은 개발되어 있지 못한 실정이다. 실측된 강우 유출자료가 존재할 경우, 특성속도의 추정은 상대적으로 용이하나. GIUH의 목적에 맞지 않는다. 이 미계측 유역에 대한 유출 해석임을 상기한다면 특성속도 역시 지형형태학적인 해

흐름분산 알고리즘에서 경사도에 따른 흐름분산 정도의 가중치를 고려하기 위해 구배멱급수의 분포적 적용을 시도하였다. 경사도의 변화에 따른 구배멱급수의 적용기준을 선형, 지수형, 멱수형으로 설정하여 지형지수를 산정하였다. 대상유역은 위천 대표 시험유역의 동곡 소유역으로 설정하였고, 격자간격 20m, 30, 40m, 50m에 대한 수치고도모형(DEM)을 구축하여 분석에 활용하였다. 지형지수 산정방법과 격자크기가 계산 결과에 미치는 영향을 통계적, 공간 분석적

프랙탈 기하학은 불규칙적이고 복잡한 자연 현상을 수학적으로 나타낼 수 있는 방법을 제시해 줄 수 있으며, 자기상사성을 가지고 있는 하천의 형상을 비롯한 하도망의 구성은 프랙탈 차원을 가지고 있는 프랙탈 현상이라 할 수 있다. GIUH란 유역의 수문학적 응답인 IUH에 하천의 지형학적인 특성을 적용한 강우-유출 모형으로, Horton의 차수비를 이용하여 지형학적인 특성을 반영할 수 있으며 하천 유역에서 프랙탈 차원은 길이비, 면적비, 분기비 등 Horto

Nash 모형의 매개변수를 유역의 수문지형특성과 시간응답의 상사성을 이용하여 분석하고 이를 미계측 유역에 대한 추정방법으로 적용하여 보았다. 유역의 수문지형특성의 상사성은 유역의 지형학적 동질성에 대한 검증방법인 자기상사성을 통해 파악하였으며 시간응답의 상사성은 Nash 모형의 매개변수들과 지체시간 및 도달시간과의 관계를 수립하여 이용하였다. 위천유역의 경우 이러한 상사성에 대한 주목할만한 특징이 발견되었는데 이를 미계측 유역에 대한 매개변수 측정에 이