비선형 강우-유출량 자료에 대한 카오스 특성 분석

박성천,진영훈,오창열 한국수자원학회 2005 한국수자원학회 학술대회 Vol.2005 No.1

무선 ATM에서의 핸드오버 개선 방안에 관한 연구 ( A Study of Improved Handover Mechanism in WATM )

박성천,송영재,조동호,양정원,동용배 한국통신학회 1998 한국통신학회 학술대회논문집 Vol.- No.-

서정인「강」의 서술성 연구

박성천 전남대학교 한국어문학연구소 2005 전남대학교 한국어문학연구소 학술지 어문논총 Vol.- No.16

[진학시험지도]출제에 관련된 몇개 문제 - 1990년 연변 초중졸업과 고중, 중등전문학교 입학 조선어문시험출제에 관하여

박성천 길림성민족사무위원회 1991 중국조선어문 Vol.52 No.-

DO,BOD농도 예측을 위한 인공신경망 이론의 적용

박성천,이한민,오창렬 동신대학교 환경연구소 2000 환경연구 Vol.5 No.1

최근 하천에서의 BOD, DO 해석뿐만 아니라 질소, 인 등의 영향을 고려한 부영양화 해석, 시간변동성을 고려한 비정상 수질해석, 2차원 및 다차원 수질해석, 수질에 대한 불확실도 해석 등 다양한 수질모의가 사회적으로 요구되고 있는 시점이다. 그러나, 수질 농도의 예측은 비선형적이고, 시변성이며 공간적으로 분포되어 있는 많은 어려움을 수반하고 있다. 본 연구는 영산강 유역의 중류부 대표지점이며 동시에 수질관리 대상지점인 나주지점을 선정하여 비선형적인 수질의 농도의 변화에 대한 모형을 개발하였다. 그 방법으로는 수계 내의 물리적ㆍ화학적ㆍ생물학적 반응 과정을 나타내지 않으면서 시행착오방법(trial and error method)으로 적절한 입력변수를 선택하여 인공신경 망의 역 전파학습알고리즘을 이용하여 DO와 BOD 수질농도에 대한 비선형 모형을 개발하였다. 그 결과 수질항목간의 상관계수는 0.850를 상회하고 있으며, 검증과정에서의 상관계수는 DO, BOD 각각 0.870, 0.887로 나타났다. 이는 수질보전정책 수립을 위한 기초 자료뿐만 아니라 하천의 치수 및 이수, 하천환경에 관련된 계획의 수립과 그에 따르는 운영 및 관리에 효율성을 더할 수 있을 것이라 판단된다. Resently various water quality simulations such as BOD, DO analysis at river, eutrophication analysis considering the effect of N, P, nonsteady water quality analysis considering time variation, two dimensional or multi dimensional water quality analysis, and uncertainty analysis of water quality etc. are needed by society. But the prediction of water quality concentration is difficult because of nonlinear, nonsteadiness, and spacial distribution. This research developed the model for nonlinear change of water quality density selecting Naju district, the representative district of Youngsan river and also the target district for water-purity. This model selected suitable input variable by trial and error method not showing physical, chemical, and biological reaction in river system and developed the nonlinear model for water quality concentration of DO and BOD using Back-propagation of artificial neural network. The correlation coefficient of each water quality item exceed 0.850 and DO is 0.870, BOD is 0.887. Conclusively this result will add to not only the basic data to establish the policy of water quality preservation but also the efficiency of the management following the establishment of the river environmental plan.

支流 水質管理에 따른 河川水 水質의 多重線型 回歸模型

朴成天,表永平,李翰旼 동신대학교 환경연구소 1999 환경연구 Vol.4 No.1

본 연구는 영산강 유역의 지류 수질관리에 대한 본류의 수질을 예측하기 위한 다중선형회귀모형을 개발하기 위한 연구로써, 영산호의 수자원은 수질의 악화로 용수공급의 제한을 받고 있으므로 영산강 본류의 수질을 개선하고 보전하여 영산호의 수자원 이수범위를 확대시키고 수생태계의 복원에 기여하며, 양질의 수자원확보와 하천기능의 다양화에 대응하기 위한 기초연구이다. 영산강 중류부의 60km구간을 대상구간으로 설정하고 연구대상구간의 풍영정천, 광주천, 황룡강, 지석천, 만봉천, 문평천, 고막원천, 함평천의 지류를 대상으로 수질관리정도(BOD농도)와 청정수(회석수)의 유입율을 고려하여 목표년도 2001년의 영산강 본류의 수질을 QUAL2E모형에 적용하므로써 예측하였으며, 예측된 수질자료를 활용하여 각 지류의 수질관리에 대한 다중선형회귀모형을 개발하여 제시하였다. This study aimed for developing of the multiple linear regression model in the main stream of the Youngsan river. The extent of the water quality management and the inflow of clear water were applied to QUAL2E model as independent variables, and the predicted results of the QUAL2E model were used to develop the multiple linear regression model. Predictions of the water quality were carried out by QUAL2E model in the middle stream of the river extending over 60km. 2001year was selected as target year. The analysis of multiple linear regression at the middle and the bottom of the total reach was performed to predict the extent of the water quality management at tributary and the water quality in the main stream. According to the results, the water quality of the main stream was more affected by the extent of the water quality management at tributary than by the inflow rate. The conclusion proposed the regressive equation and the equation may be utilized to improve the water quality.

인공신경망 이론에 의한 일유출량 예측

朴成天,文炳錫 東新大學校 工業技術硏究所 1999 工業技術硏究 Vol.5 No.-

The applicability of the system theoretic artificial neural network approach in developing effective nonlinear models of the rainfall-runoff process is demonstrated in this paper. The multi-layer networks, specially three-layer artificial neural networks have been used to model the rainfall-runoff process. And the data from the river Young-San has been utilized for the present study. This paper presents the potential of artificial neural network for simulating the hydrologic behavior of watersheds. The results of this paper suggest that the artificial neural network approach may provide a superior alternative to other methods of modeling for developing input-output simulation and forecasting models in situations that do not require modeling of the internal structure of the watershed.

도시유역의 유출기구변화에 따른 수문곡선 해석

박성천,이한민,이연길 東新大學校 工業技術硏究所 2001 工業技術硏究 Vol.7 No.-

Increase of population makes people concentrate to city. Also, this phenomenon makes pervious area change impervious(paved) area. The increase of impervious area unfavorable against flood control. The target area, Gwangju Sangmu Residential Area, was assumed that impervious area change pervious area as case I - case N. The SWMM, which is developed by Metcalf and Eddy Inc., was applied as runoff model and the Map-info was used as GIS tool for input data construction. Runoff hydrograph varies according to change of runoff scheme. The hydrograph of case I is very sharp compare with that of case IV and concentration time of case I is longer than that of case N. In conclusion, this study shows that the change of the runoff scheme could affect peak discharge and concentration time.

LPG 엔진에서 연료조절밸브를 이용한 공연비 제어에 관한 연구

박성천 한국기계기술학회 2008 한국기계기술학회지 Vol.10 No.1

This study investigates experimentally Air-fuel ratio feedback control with a fuel valve in a LPG engine. The fueling valve is controlled by electronic control unit which is made with micro computer. Various control logics are employed and then PID control is adopter as a proper logic for own system and Air-fuel ratio feedback control by PID control was experimentally of various operation area with the stable control algorithm of PID control that was earned from the former experiment. On the process the experiment, determination experiment of each control part coefficient was the biggest variable among the whole result of experiment. We could know as a result of experiment that the lange of overshoot is bigger as the proportional control part os bigger integral control part is related with the delay time and coefficient of differential control part is related with the decrease of overshoot range from the experiment of various operation area we could also analyse consequently that direct fuel control in the fuel value makes more stable control status in rare operation and low load area.

한국형 부영양화지수에 의한 영산강 유역의 부영양화 특성

박성천,김종오,이우범,박수호,이상득 한국수처리학회 2017 한국수처리학회지 Vol.25 No.6

ISixteen large-sized weirs were constructed to secure water resources through the Four Main River Project in 2012 as a drought-related strategy and two of the weirs, Seungchon-bo and Juksan-bo, were built in the Yeoungsan River basin. Due to the construction of the weirs, streamflows significantly decreased and stagnant area of water increased. Algal blooms are continuously occurring from summer to early fall every year. Based on the recent concerns of people about safe agricultural products, the agricultural water quality pollution becomes a nationwide issue. Its importance and significance are getting more attention and improvement of algal blooms in the Yeoungsan River with water quality improvement is crucial. Therefore, the present study used the Korean trophic state index evaluation method developed by National Institute of Environmental Research (NIER), Ministry of Environment in order to understand the change of eutrophication caused by the construction of Seungchon-bo and Juksan-bo, and the operation of total phosphorus treatment facility in Gwangju Metropolitan City. For the evaluation, the data collected from 12 main gage stations in streams and 8 measurement points in four lakes in the Yeoungsan River basin were divided into spring (March to May), summer (June to August), autumn (September to November), and winter (December to February). The divided data were again split into before and after 2013 to assess impacts of the Four Main River Project. The present study calculated seasonal TSI_Ko using water quality parameters of COD, T-P, and Chl-a and revealed characteristics of eutrophication by classifying trophic states into four levels. .