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최수민,윤성심,이병주,최영진,Choi, Sumin,Yoon, Seongsim,Lee, Byongju,Choi, Youngjean 한국수자원학회 2015 한국수자원학회논문집 Vol.48 No.9
본 연구의 목적은 고해상도 정량적강수추정치(QPE)를 이용하여 도시유출해석을 수행하고 소배수분구별 강우와 유출량의 공간 변동성을 분석하여 적용성을 평가하는 것이다. 대상유역은 강남역을 중심으로 하는5개 배수분구(서초3, 4, 5, 역삼, 논현)을 선정하였으며, 유역면적은 $7.4km^2$이다. QPE 생산을 위해 KMA AWS (34소), SKP AWS (156소), 광덕산 레이더 자료를 통해 서울지역의 강우자료를 구축하였으며 크리깅 기법과 조건부합성 방법을 적용하여 4가지 QPE(QPE1: KMA AWS, QPE2: KMA+SKP AWS, QPE3: 광덕산 레이더, QPE4: QPE2+QPE3)를 생산하였다. 시공간 해상도는 10분, 250 m이며, 2013년 7월에 발생한 6개 호우를 대상으로 하였다. 복잡한 실제 관망을 도시유출해석모형에 입력하기 위해 773개 맨홀과 772개 소배수분구, 1,059개 하수관거로 재구성하여 분석을 수행하였다. QPE2와 QPE4는 QPE1에 비해 소배수구역별 면적강우량의 변동폭이 최대 1.9배까지 차이가 나타나 작은 유역에서도 강우공간변동성이 있음을 확인하였다. 또한 소배수 구역별 첨두유량 분석결과에서도 강남과 서초 AWS에 비해 QPE2와 QPE4의 변동폭이 최대 6배 큰 것으로 분석되었다. 따라서 본 연구의 대상지역과 같이 수 km2 이하의 도시유역에서도 강우와 첨두유량의 공간변동성이 발생함을 알 수 있었으며, 정확한 도시유출해석을 위해서는 고해상도 강우자료를 활용하는 것이 바람직한 것으로 판단된다. In this study, urban runoff analyses were performed using high resolution Quantitative Precipitation Estimation (QPE), and variation of rainfall and runoff were analyzed to evaluate QPE data for urban runoff analysis. The five drainage districts (Seocho3, 4, 5, Yeoksam and Nonhyun) around Gangnam station were chosen as study area, the area is $7.4km^2$. Rainfall data from KMA AWS (34 stations), SKP AWS (156 stations) and Gwanduk radar were used for QPEs in Seoul area. Four types of QPE(QPE1: KMA AWS, QPE2: KMA+ SKP AWS, QPE3: Gwangduk radar, QPE4: QPE2+QPE3) of 6 events in July 2013 were generated by using Krigging and conditional merging. The temporal and spatial resolution of QPEs are 10 minutes and 250 m, respectively. The complex pipe network were treated as 773 manholes, 772 sub-drainage districts and 1,059 pipelines for urban runoff analysis as input data. QPE2 and QPE4 show spatial variation of rainfall by sub-drainage districts as 1.9 times bigger than QPE1. The peak runoff of QPE2 and QPE4 also show spatial variation as 6 times bigger than Gangnam and Seocho AWS. Thus, the spatial variation of rainfall and runoff could exist in small area such as this study area, and using high-resolution rainfall data is desirable for accurate urban runoff analysis.
재난유형과 관리단계로 본 국내 재난안전 R&D 현황 및 시사점
최수민,이주영 한국방재학회 2016 한국방재학회논문집 Vol.16 No.3
As social concerns and demands for safety increase, Korean government has established various disaster plans for hazard mitigation. One main plan was to improve research and development (R&D) capabilities regarding disaster prevention and management. In this study, Korean government’s current plans on disaster safety R&D and recent years’ government funded disaster safety R&D projects from the National Science & Technology Information Service (NTIS) database were analyzed. The projects were categorized by two criteria. One was the types of disaster-natural, social, special, maritime, and fire safety & rescue activity- and the other was the phases of disaster management- anticipation, prevention, preparedness, response, recovery, and platform. The results show that R&D projects on social disaster were the most numerous in types and R&D projects on prevention were the most numerous in phases. These analyses show that the improvements on response phase R&D ability and whole-cycle management is needed in the disaster R&D system of Korea. 재난안전에 대한 사회적 관심과 요구가 증가함에 따라 정부는 정책적으로 재난안전 확보를 위한 다양한 계획을 수립하고 있다. 이러한 계획 중 하나가 기술개발을 통한 재난안전 관리 역량을 향상시키는 것이다. 이에 본 연구에서는 우리나라의 재난안전 연구개발 관련 계획을 조사하고, NTIS(국가과학기술지식정보서비스)에 등록된 자료를 이용하여 최근 수행된 국가 R&D에 대하여 재난유형과 재난관리 단계에 따라 분석하였다. 재난유형을 자연재난, 사회재난, 특수재난, 해양재난, 소방/기동의 5개 분야로 구분하여 분석한 결과, 사회재난 분야의 R&D 비중이 가장 컸다. 또한 재난관리 단계는 예측, 예방, 대비, 대응, 복구, 플랫폼의 6개 유형으로 구분하였는데, 예방분야에 투자가 집중된 것으로 나타났다. 이러한 결과는 재난 대응역량 강화와 재난 전주기 관리의 필요성을 보여준다고 판단된다.
조경용 상록활엽수로서 종가시나무의 종자발아 및 유묘생장 특성
최수민,신현철,박용배,윤준혁,허근영 인간식물환경학회 2014 인간식물환경학회지 Vol.17 No.6
The seeds and seedling of broad-leaved evergreen trees are being required to improve urban landscaping and ecology in winter season. This study was carried out to investigate the characteristics of seed germination and seedling growth of Quercus glauca with seed collecting time and seed size. From Nov. 15, 2011 to Feb. 15, 2012, the seeds were collected at 4 different times with 30 days increment from the plants grown at Southern Forest Research Center in Jinju (N35°09’58.62”, E128°06’23.42”, 67m) and divided into 3 groups (small, middle and large grain) according to the size within each collecting time. The characteristics of seed itself, seed germination, and seedling growth were evaluated with the days of collection (collecting time) and seed size. The water content of seeds gradually increased as the days of collection increased between Nov. 15, 2011 and Jan. 15, 2012. The number of damaged embryos (%) also increased with the days of collection during the experiment and the large grains were significantly damaged more than the others. Seed germination was correlated with the days of collection (r=-0.824, p<0.01) and the number of damaged embryos (r=-0.644, p<0.05), but not correlated with seed size. The germination rate was high until Dec. 15, 2011, but decreased from Jan. 15, 2012. The germination rate, germination index, and T50 also showed better between Nov. 15 and Dec. 15, 2011 compared with those values during the rest period. Total dry weight as a variable of seedling growth was correlated with seed length*width (r=0.785, p<0.01), but not correlated with the days of collection. Total dry weight showed higher in large and middle grains than in small grains. Seedling quality index (SQI) showed higher between Nov. 15 and Dec. 15, 2011. Therefore, it could be suggested that we would select larger grains among the seeds harvested through December to obtain better seedlings.