강우로부터 유출현상은 고유적으로 비선형성이다. 더욱이 실제적으로 이와 같은 비선형성의 해석은 많은 어려움을 내포하고 있다. 또한, 부정류효과의 동적작용을 고려한 저류개념은 매개변수의 유역특성상 추정하기가 상당히 복잡하기 때문에 피해오고 있는 실정이다. 본 연구에서는 이와 같은 동적효과를 고려한 비선형의 저류함수에 대한 매개변수의 최적치를 얻고자 시도한다. 이를 위한 수치해법은 금강의 보청천유역의 관측치와 계산치의 오차를 최소로 하는 최소자승법에 의거 준

NO2 concentration characteristics of Busan metropolitan city was analysed by statistical method using hourly NO2 concentration data(1998～2000) collected from air quality monitoring sites of the metropolitan city. 4 representative regions were selected among air quality monitoring sites of Ministry of environment. Concentration data of NO2, 5 air pollutants, and data collected at AWS was used. Both Stepwise Multiple Regression model and ARIMA model for prediction of NO2 concentrations were adopted, and then their results were compared with observed concentration. While ARIMA model was useful for the prediction of daily variation of the concentration, it was not satisfactory for the prediction of both rapid variation and seasonal variation of the concentration. Multiple Regression model was better estimated than ARIMA model for prediction of NO2 concentration.

하천을 따라 분포된 비점 오염원을 하천 수질모형의 매개변수들과 동시에 추정하는 체계적인 방법을 제안하였다. 수립된 방법을 QUAL2E 모형과 함께 충주댐 하류의 남한강 구간에 적용하여 모형의 반응계수와 비점 오염 부하량에 대한 최적 추정을 수행하였다. 민감도 분석 결과로부터 선정된 반응계수들에 대한 초기 추정 결과에 따르면 하천 시스템에 대한 질량수지가 만족되기 위해서는 질소와 인의 비점 오염 부하량의 입력이 필요한 것으로 나타났다. 이에 따라 총질소와

Indoor air quality is affected by source strength of pollutants, ventilation rate, decay rate, outdoor level, and so on. Although technologies measuring these factors exist directly, direct measurements of all factors are not always practical in most field studies. The purpose of this study was to develop an alternative method to estimate these factors by application of multiple measurements. For the total duration of 30 days, daily indoor and outdoor NO2 concentrations were measured in 30 houses in Brisbane, Australia, and for 21 days in 40 houses in Seoul, Korea, respectively. Using a box model by mass balance and linear regression analysis, penetration factor (ventilation divided by sum of air exchange rate and deposition constant) and source strength factor (emission rate divided by sum of air exchange rate and deposition constant) were calculated. Subsequently, the ventilation and source strength were estimated. In Brisbane, the penetration factors were 0.59±0.14 and they were unaffected by the presence of a gas range. During sampling period, geometric mean of natural ventilation was estimated to be 1.10±1.51 ACH, assuming a residential NO2 decay rate of 0.8 hr-1 in Brisbane. In Seoul, natural ventilation was 1.15±1.73 ACH with residential NO2 decay rate of 0.94 hr-1. Source strength of NO2 in the houses with gas range (12.7±9.8 ppb/hr) were significantly higher than those in houses with an electric range (2.8±2.6 ppb/hr) in Brisbane. In Seoul, source strength in the houses with gas range were 16.8±8.2 ppb/hr. Conclusively, indoor air quality using box model by mass balance was effectively characterized.

차량동역학제어시스템은 복잡하고 비선형이므로 잠금방지 제동시스템 및 자동주행시스템 개발에 어려움이 있다. 차량절대속도를 추정하기 위해 퍼지 로직 기법이 최근 적용되어 정상적인 조건에서 만족할 만한 결과를 얻고 있다. 그러나 급격한 제동시 추정오차가 크게 발생되었다. 본 논문에서는 휠 속도 센서를 이용하여 무인 컨테이너 운송차량의 절대속도를 추정하기 위해, 뉴럴 네트워크 모델의 방사대칭 기저함수와 주성분 분석법을 적용하여 10개의 추정 알고리즘중 오차를 4％ 이내로 추정할 수 있는 알고리즘을 제시하였다.

논의 수문학적인 거동은 물관리에 따른 담수심 상태, 벼의 생육시기별 물꼬관리에 크게 지배 받는다. 강우사상에 의한 논에서의 저류 및 배수량은 하천유량에 적지 않은 영향을 준다. 본 연구에서는 홍수기 논의 저류효과를 정량적으로 파악하기 위하여 논의 저류량을 모의할 수 있는 일별 물수지 모형을 개발하고, 수원과 여주의 논을 대상으로 4년간(1996, 1997, 2001, 2002) 측정한 자료를 이용하여 모형의 적용성을 검토하였다. 모형에서 물꼬높이와 기준

The genetic algorithm is investigated for parameters estimation of SED (storage - effective drainage) model from the Wi-stream watershed in Nakdong river basin. In the practical application of model, as a number of watershed parameters do not measure directly, it is desirable to make a good estimation from the known rainfall and runoff data. For the estimation of parameters of the SED model using the genetic algorithm, parameters of Green-Ampt equation(SM, Ks) for the estimation of an effective rainfall and initial storage(yin) used in SED model are obtained a regression equation with 5, 10, 20 days antecedent precipitation. And as a consequence of computation, the parameters were obtained to satisfy the proposed objective function. From the comparison of observed and computed hydrographs, it shows a good agreement in the shape and the rising limb, peak, falling limb of hydrograph, so the SED model using the genetic algorithm shows a suitable model for runoff analysis in river basin.

레이더 신호처리론 포함하여 무선통신 시스템의 성능향상을 위한 수신신호의 도래방향 추정기술 중, MUSIC과 ESPRIT와 같은 방법들은 수신신호 벡터로부터 얻어진 상관행렬의 고유치 분해를 통하여 도래방향을 정도 높게 추정할 수 있는 초고분해 알고리즘들로 잘 이용되어 왔다. 그러나, 이러한 방법들은 계산의 복잡성으로 인하여 실시간 처리에 장애가 되어 왔으며, 어레이 안테나의 물리적인 결함에 대한 보정을 요구한다. 이에 대한 해결방법으로서 신경망 모델을 이용한 도래방향 추정방법들이 연구되어 왔으나, 복수의 신호가 존재할 경우 신경망 모델에 대한 대규모 학습량을 요구하고, 실시간 처리가능성에 대한 명확한 해를 제공하지 못한다. 본 연구에서는 상호결합형 신경망 모델을 이용하여 도래방향을 추정하기 위한 방법을 제안하고, 컴퓨터 시뮬레이션을 통하여 실시간 처리가능성을 보여주었으며, 제안된 방법이 MUSIC 보다 더 좋은 추정치를 제공한다. 게다가, 제안된 방법은 대규모 학습을 요구하지 않는다. 즉, 도래방향을 추정하기 전에 상호결합계수를 신경망에 할당할 뿐이다.

The three-dimensional eco-hydrodynamic model was applied to estimate the physical process in terms of nutrients and net uptake(or regeneration) rate of nutrients in Kamak Bay for scenario analysis to find proper management plan. The estimation results of the physical process in terms of nutrients showed that transportation of nutrients is dominant in surface level while accumulation of nutrients is dominant in bottom level. In the case of dissolved inorganic nitrogen, the results showed that the net uptake rate was 0～60 mg/m2/day in surface level(0～3m), and the net regeneration rate was 0.0～10.0 mg/m2/day in middle level(3～6m) and above 10 mg/m2/day in bottom level(6m～below). In the case of dissolved inorganic phosphorus, the net uptake rate was 0.0～3.0 mg/m2/day in surface level, and the net regeneration rate was 0.5～1.5 mg/m2/day in middle level and 1.0～3.0 mg/m2/day in bottom level. These results indicates that net uptake and transport of nutrients are occurred predominantly at the surface level and the net generation and accumulation are dominant at bottom level. Therefore, it is important to consider the re-supplement of nutrients due to regeneration of bottom water.

Tank 모형의 매개변수를 추정하는데 있어 유출성분을 고려하여 모의할 수 있는 방법을 제안하였다. 제안된 방법은 관측수문곡선을 Digital filter 방법을 사용하여 유출성분별로 분리하고 각 유출성분을 고려하여 Powell 방법으로 매개변수를 추정하는 것이다. 본 연구에서는 한강유역의 4개 댐지점을 선정하여 유출성분을 고려한 경우와 그렇지 않은 경우를 구분하여 모의유량을 관측유량과 비교 검토하였다. 그 결과 자동추적법으로만 매개변수를 추정할 때에는

본 연구에서는 낙동강 상류유역의 병렬 다목적댐군인 안동 및 임하다목적 댐의 장기간 유입량을 산정하는데 공간추계 신경망모형이 사용되었다. 공간추계 신경망모형은 역전파 알고리즘으로 LMBP와 BFGS-QNBP를 각각 사용하였다. 공간추계 신경망모형의 구조는 입력층, 은닉층 및 출력층의 3개의 층과 차례대로 8-8-2개의 노드로 구성되어 있다. 입력층 노드는 안동 및 임하다목적 댐의 월평균유입량, 월면적강우량, 월별 증발접시 증발량과 월평균기온으로 구성되어

The purpose of this study is to investigate the characteristics of water quality in Jeju harbor and to estimate pollutant loadings discharged into Jeju Harbor. To know characteristics of water quality in Jeju harbor and pollutant loadings of Sanzi river, we have investigated from August, 2000 to May, 2001. The results showed that the concentrations of COD, DIN and DIP were in the range of 1.00～4.85㎎/L (mean 2.15㎎/L), 2.14～74.0㎍-at/L(mean 12.20㎍-at/L) and 0.52～4.00㎍-at/L(mean 1.18㎍-at/L), respectively. These values were under Ⅲ class of seawater quality criteria. The ratio of nitrogen to phosphorus was lower than 16 except for Station 1 in Jeju harbor. Therefore, nitrogen was playing an important role in phytoplankton growth as limiting factor in Jeju harbor. The mean values of eutrophication index were exceeding 1, which was the eutrophication criteria. The results of estimating pollutant loadings at Sanzi river are 0.30 ton/day for COD, 300㎏/day for DIN and 18.0㎏/day for DIP, respectively.

Spikelet number per unit area(SPN) is a major determinant of rice yield. Nitrogen nutrition status and biomass during reproductive stage determine the SPN. To formulate a model for estimating SPN, the 93 field experiment data collected from widely different regions with different japonica varieties in Korea and Japan were analyzed for the upper boundary lines of SPN responses to nitrogen nutrition index(NNI), shoot dry weight and shoot nitrogen content at panicle initiation and heading stage. The boundary lines of SPN showed asymptotic responses to all the above parameters(X) and were well fitted to the exponential function of f(X)=alphacdot1- etacdotexp(gamma;cdot;X) . Excluding the constant, from the boundary line equation, the values of the equation range from 0 to 1 and represent the indices of parameters expressing the degree of influence on SPN. In addition to those indices, the index of shoot dry weight increase during reproductive stage was calculated by directly dividing the shoot dry weight increase by the maximum value (800 extrmg/m-2 ) of dry weight increase as it showed linear relationship with SPN. Four indices selected by forward stepwise regression at the stay level of 0.05 were those for NNI (INNIP ) at panicle initiation, NNI(INNIh ) and shoot dry weight(IDWh ) at heading stage, and dry weight increase(IDW ) between those two stages. The following model was obtained: SPN=48683ㆍ IDWH 0.482 ㆍ INNIp 0.387 ㆍ INNIH 0.318 ㆍ IDW 0.35 ). This model accounted for about 89% of the variation of spikelet number. In conclusion this model could be used for estimating the spikelet number of japonica rice with some confidence in widely different regions and thus, integrated into a rice growth model as a component model for spikelet number estimation.n.n.

본 논문은 해상물동량이 외생적으로 주어질 경우 전세계 지역별, 선형별, 화물별 석유류 해상물동량과 유조선 선박거래량의 변화를 추정하는 항해용선 거래량 추정 모형을 구축하고 이를 통해 실제 예측을 시도하는 것이 주요 목적이다. 이를 위하여 본 논문에서는 유조선시장의 항해용선과 기간용선 메커니즘을 분해하고 선박용선DB에서 축적된 내용을 단계별로 적용하였다. 그 결과 전세계 유조선 항해용선 거래랑은 2000년의 2만 892척에서 2007년에는2만 5,751척으로 23.3% 증가할 전망이며, 이 가운데 극동지역의 거래량이 35.2%를 차지할 것으로 전망 되었다. 또한 우리나라의 유조선 항해용선 거래량도 2007에는 전세계 거래량의 9.3%, 극동지역 거래량의 26.6%에 이를 것으로 전망되었다.

This study was carried out for reading the change of local meteorological environment according to dam construction of Nakdong-river using numerical model. The study used PSU/NCAR Mesoscale Model version5(MM5) for inquiring effect of formation of artificial lake after dam construction. The colleague simulated temperature mixing ratio, latent heat flux and sensible heat flux in two cause of existing lake and not. Temperature and mixing ratio in southwest of Andong lake increased because of the air that was warm and moist above the lake moved to southwest due to the northeasterly wind. In the case of existing lake around Andong, latent heat flux increased much in the daytime after sunrise. However, sensible heat flux decreased but it didn't change distinctly in southwest of Andong like the other values.

A Modified CREAMS model, CREAMS-PADDY was developed to simulate the hydrology and nutrient transport at an irrigated rice paddy. The hydrology at a paddy was simulated by a daily water balance routine which reflects daily inflow, outflow, and water level changes. The soil erosion was simulated using modified USLE. The nutrient transport for total nitrogen and phosphorus were depicted for various phases of each constitute such as extraction, percolation, mineralization, and plant uptakes. Field monitoring was conducted to investigate the water quality changes at a paddy field at three times a week during the growing season of 1996. The proposed model simulates the water quality of the paddy reasonably well, and is found to be applicable to field conditions.

WGR 강우모형은 중규모 정도의 강우를 표현하기 위해 개발된 개념적인 모형으로 대기의 동역학적 특성과 강우의 통계학적 특성이 비교적 잘 반영된 모형이다(Waymire 등, 1984). 그러나 이 모형은 최대 18개의 매개변수르 가지며 모형의 구조가 강한 비선형성을 가지고 있어 매개변수 추정이 매우 어려운 문제로 남아 있다. 지금까지 각각 다른 지역의 강우에 대해 비선형 최적화 기법(non-linear programming; NLP)을 이용하여 매개변수를

The Keum river is one of the important river in Korea and has a drainage area of 9,873 ㎦. The Keum river is deepening pollution state due to development of the lower city and construction of a industrial complex. The water quality of the Keum river come to eutrophication state and belong to Ⅲ grade of water quality standard. The concentration BOD in river is affected by the organic loading from a tributary and the algae biomass that largely happen to under eutrophication state. In the eutrophic water mass such as the Keum river, the autochthonous BOD was very important part for making a decision of water quality management, because it was accounted for majority of the total BOD. The purpose of this study was to survey the characteristics of water quality in summer and to estimate reaction coefficient. Also, we studied to correlationship between chlorophyll a and BOD(COD) for estimation of the autochthonous BOD. The correlationship between chlorophyll a and BOD(COD) were obtained through the culture experiment of phytoplankton in the laboratory. The results of this study may be summarized as follows ; The characteristics of water quality in summer were belong to Ⅲ∼Ⅳgrade of water quality standard as BOD and nutritive condition is very high. The BOD, ammonia nitrogen and phosphate loadings in Miho stream which inflowing untreated sewage from Chungju city was occupied with 64.07%, 26.36%, 46.08%, respectively. Maximum nutrient uptake (Vmax) was 0.4400 μM/hr as substrate of ammonia nitrogen, 0.1652 μM/hr as substrate of phosphate. Maximum specific growth rate (μmax) was 1.2525 hr-1 as substrate of ammonia nitrogen, 1.5177 hr-1 as substrate of phosphate. The correlation coefficient between chlorophyll a and BOD by the culture experiment were found to be 0.911∼0.935 and 0.942∼0.947 in the case adding nutrient and no adding nutrient, respectively. The correlation coefficient between chlorophyll a and COD through the culture experiment were found to be 0.918∼0.977 and 0.880∼0.931 in the case adding nutrient and no adding nutrient, respectively. The autochthonous BOD(COD) was estimated to the relationship between BOD(COD) and chlorophyll a. The regression equation were found to be autochthonous BOD=(0.045∼0.073)×chlorophyll a and autochthonous COD=(0.137∼0.182)×chlorophyll a.

It is noted that the red tides and the oxygen-deficient water mass are extensively developed in Masan Bay during summer. The nutrients mass balance was calculated in Masan Bay, using the three-dimensional numerical hydrodynamic model and the material cycle model. The material cycle model was calibrated with the data obtained on the field of the study area in June 1993. The nutrients mass balance calculated by the combination of the residual currents and material cycle model results showed nutrients of surface and middle levels to be transported from the inner part to the outer part of Masan Bay, and nutrients of bottom level to be transported from outer part to inner part of Masan Bay. The uptake rate of DIN in the box A1(surface level of inner part) was found to be 337.5㎎/㎥ ·day, the largest value in all 9 boxes and that of DIP was found to be 18.6㎎/㎥·day in box A1, and the regeneration rate of DIN was found to be 78.2㎎/㎥· day in the box A3(bottom level of inner part), and that of DIP was found to be 18.6㎎/㎥· day in box A1. The regenerations of DIN and DIP in the water column of the entire Bay were found to be 7.66ton/day and 760㎏/day, respectively. And the releases of DIN and DIP from the sediments of the entire Bay were found to be 2.86ton/day and 634㎏/ day, respectively. The regeneration rate was 2.5 times as high as the release rate in DIN, and 1.2 times in DIP. The results of mass balance calculation showed not only the nutrients released from the sediments but the nutrients regenerated in water column to be important in the control and management of water quality in Masan Bay.