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문덕철,양성기,고기원,박원배 한국환경과학회 2005 한국환경과학회지 Vol.14 No.4
Groundwater in Jeju Island, flowing through main stream, is spring water from underground. To set a fixed quantity of groundwater flowing from surface in a hydrological view, 4 downstream (Woedo stream, Gangjung stream, Yeonwoe stream and Ongpo stream) were selected to calculate the characteristic of baseflow and the base-flow discharge through the data on tachometry. There were 11 to 14 level peak caused by runoff, mostly occurred during monsoon season. Also, duration of runoff was 15 to 25 hours, well reflecting the characteristic of inclined, short stream length in Jeju Island and pervious hydrogeographical feature. In case of Gangjung stream, Yeonwoe stream and Ongpo stream, variation of stream water level by baseflow rose above during summer, which was closely linked to the distribution of seasonal precipitation. From autumn to spring, water level fell below while that of Woedo stream remained the same all year round. Data on the water level observed in Woedo stream and Gangjung stream in every single minutes was applied to weir formula(equation of Oki and Govinda Rao) to calculate baseflow discharge. Also, using the data on current and water level calculated in Ongpo stream and Yeonwoe stream, water level-water flow rating was applied to assess baseflow discharge.
문덕철,정관수,박원배,김용철 한국수자원학회 2014 한국수자원학회논문집 Vol.47 No.2
본 연구에서는 2007년 제주지역을 강타한 태풍 ‘나리’이후 홍수조절을 위해 한천유역에 설치된 저류지의 효과를 정량적으로 평가하였다. 이를 위해 2010년 태풍 ‘뎬무’의 내습 시, 한천 상․하류에 위치한 하천유량 관측소의 자료와 저류지 유입량 자료를 이용하여 한천저류지 운영이 하류지역에 미치는 홍수저감 효과를 검토하였다. 분석결과, 하류지역에서의 실제 하천수위는 3.44m를 기록하였으나, 수위-유량 관계식, 유출전파속도, 저류지 유입량 등을 활용하여 저류지가 운영되지 않았을 경우의 하류지역 하천수위를 분석한 결과 4.16m로 예측되었다. 이와 같은 결과는 한천유역에 설치된 저류지의 홍수저감 효과를 분명하게 보여주는 것으로 향후 유사한 사상에 대해서도 적절한 기여를 할 수 있을 것으로 판단되었다. Hancheon reservoir, which is located upstream of Jeju city, has been built for flood mitigation after Typhoon Nari, 2007. To verify flood mitigating effect of the this reservoir on the downstream area, runoff analysis based on the measured data(two stream discharge monitoring stations and inflow data to the reservoir) is carried out during torrential rain followed by typhoon Dainmu, 2010. The stream water level was recorded as 3.14m for the peak at the down gradient station. The stream water level under the assump-tion of absence of Hancheon reservoir is calculated as 4.16m using the estimated rating curve, stream water propagation velocity, and the bypassed volume of water to the reservoir. This result shows that clear effect of reservoir operation which is capable of mitigating peak discharge in the downstream area.
박원배,문덕철,고기원,Park, Won-Bae,Moon, Deok-Cheol,Koh, Gi Won 한국지하수토양환경학회 2012 지하수토양환경 Vol.17 No.6
This study is to suggest a few efficient ways of rainwater utilization, through monitoring and analyzing 143 rainwater storage systems and 110 artificial recharge systems, which are installed in the recommended facilities by law, among the rainwater harvesting systems in Jeju Island. In the case that catchment facilities are damaged, rainwater could be contaminated by leaves and debris so that the rates of rainwater usages come to be lower. It is possible that contaminated rainwater could contaminate artificial recharge wells or rainwater discharging out of the rainwater harvesting system could result in flood and damage for the downgradient area. For maintaining high quality of rainwater and increasing rainwater utilization rate, it is necessary to install screening facilities and purification plant functioning precipitation and filtration. Also, in order to efficiently preclude the overflowing rainwater exceeding storage capacity, it is recommended to associate rainwater storage tanks with artificial recharge well or infiltration trench facilities.
대역별 웨이브렛 계수 양자화와 블록 임계값을 이용한 영상부호화
권구락,문덕철,김주도,김응성,이근영 성균관대학교 1998 학술회의지원논문목록집 Vol.1998 No.-
기존의 논문들은 변환에 따른 각 변환계수들의 스캐닝 방법을 고려하지 않기 때문에 최적의 변환에도 불구하고 압축 효율이 좋지 않다. 본 논문에서는 높은 화질의 영상과 계산량의 단축을 위해서 정지 영상에 웨이브렛 변환을 사용하고, 웨이브렛 변환 후 각 대역 특성별로 양자화를 수행하며, 부호화 방법에 대해 새로운 스캐닝 방법을 제안한다. JPEG 알고리듬과 제안 알고리듬을 비교하였을 때, 동일한 비트율에서 제안 알고리듬이 높은 화질의 영상을 얻을 수 있었다.
하규철,문덕철,고기원,박기화,Ha, Kyoo-Chul,Moon, Deok-Cheol,Koh, Ki-Won,Park, Ki-Hwa 한국지하수토양환경학회 2008 지하수토양환경 Vol.13 No.5
제주도의 물관리나 지하수 함양량 산정에 있어서 직접유출량 평가는 유용하게 사용되어 진다. 외도천 유역의 상류지역인 천아계곡과 하류지점에서의 장기 수위관측자료를 이용하여 유출빈도를 분석한 결과, 년간 발생하는 유출 발생빈도는 천아계곡에서는 약 21회, 외도천 하류에서 약 12회였다. 유출지속시간을 고려하면 년간 유출을 관측할 수 있는 기간이 천아계곡에서는 21일, 외도천 하류에서는 12일 정도인 것으로 나타났다. 교차상관분석에 의하여 강우에 대한 수위반응은 약 4시간인 것으로 분석되었으며, 유출이 발생했을 때 천아계곡으로부터 외도천 하류지점까지 수위 전파시간은 약 2시간이었다. 외도천 하류지점에서 유량측정결과, 상시 유출량은 평균 0.39 $m^3$/sec였으며, 기저유출과(직접) 유출량을 평가하기 위해 수위-유량곡선을 개발하였고, 개발된 수위-유량곡선을 이용하여 수위를 시간에 따른 총유출량으로 산정하였다. 수치필터링기법에 의한 총유출량을 기저유출량과 직접유출량으로 분리 낸 결과, 년간 총 하천유량 중 31.8${\sim}$36.5% 정도를 직접유출이 기여하고 있으며 63.5${\sim}$68.2% 정도는 기저 유출이 기여하는 것을 확인하였다. Runoff characteristics of the Oedocheon in Jeju island were investigated using the long-term stream stage monitoring data. At the Cheonah valley in the upstream area and Oedocheon downstream, annual runoff occurred 21 and 12 times, respectively, and their average runoff periods were 21 days and 12 days, respectively. Stream stage response time to rainfall was 4 hours, and storm-water transfer from the upstream, Cheonah valley, to the Oedocheon downstream took about 2 hours. The stream discharge measurements had been carried out from Feb. 2004 to Jul. 2005, and showed that normal discharge of the Oedocheon was 0.39 $m^3$/sec in average. Stage-discharge curves were developed to estimate base flow (normal discharge) and (direct) surface runoff. The base flow separations by a numerical filtering technique illustrated that annual surface runoff and base flow accounted respectively for 31.8${\sim}$36.5%, 63.5${\sim}$68.2% of the total stream discharge.
인공지능 모델에 의한 지하수위 모의결과의 적절성 판단을 위한 허용가능한 예측오차 범위의 추정
신문주,문수형,문덕철,류호윤,강경구,Shin, Mun-Ju,Moon, Soo-Hyoung,Moon, Duk-Chul,Ryu, Ho-Yoon,Kang, Kyung Goo 한국수자원학회 2021 한국수자원학회논문집 Vol.54 No.7
Groundwater is an important water resource that can be used along with surface water. In particular, in the case of island regions, research on groundwater level variability is essential for stable groundwater use because the ratio of groundwater use is relatively high. Researches using artificial intelligence models (AIs) for the prediction and analysis of groundwater level variability are continuously increasing. However, there are insufficient studies presenting evaluation criteria to judge the appropriateness of groundwater level prediction. This study comprehensively analyzed the research results that predicted the groundwater level using AIs for various regions around the world over the past 20 years to present the range of allowable groundwater level prediction errors. As a result, the groundwater level prediction error increased as the observed groundwater level variability increased. Therefore, the criteria for evaluating the adequacy of the groundwater level prediction by an AI is presented as follows: less than or equal to the root mean square error or maximum error calculated using the linear regression equations presented in this study, or NSE ≥ 0.849 or R<sup>2</sup> ≥ 0.880. This allowable prediction error range can be used as a reference for determining the appropriateness of the groundwater level prediction using an AI.