• Title/Summary/Keyword: Regional Resources

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The Establishment and Application of Very Short Range Forecast of Precipitation System (초단시간 강수예보시스템 구축 및 활용)

  • Choi, Ji-Hye;Nam, Kyung-Yeub;Suk, Mi-Kyung;Choi, Byoung-Cheol
    • Proceedings of the Korea Water Resources Association Conference
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    • 2006.05a
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    • pp.1515-1519
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    • 2006
  • 본 연구에서는 초단시간 강수예보(VSRF, Very Short-Range Forecast of precipitation) 시스템 구축 현황을 소개하고자 한다. VSRF 모델은 레이더 반사도 자료와 지상 AWS 자료를 이용하여 레이더-AWS 강우강도를 산출하는 강수분석과정과 분석된 강수량 자료와 중규모 수치예보장을 사용하여 외삽법에 의한 초단시간 강수예보를 수행하는 예보과정, 실시간으로 산출된 강수예보 자료를 검증하고 홈페이지에 제공하는 자료지원과정으로 구성된다. 본 연구에서는 모델의 예보능력을 향상시키기 위해 크게 두 가지 측면에서 모델을 개선하였다. 첫째는 모델의 입력자료인 레이더-AWS 강우강도 자료를 기상연구소 원격탐사연구실에서 운영하던 WPMM (Window Probability Matching Method)과 기상청 기상레이더과에서 운영하던 RQPE(Radar Quantitative Precipitation Estimation)의 알고리즘을 통합하여 정확한 강우강도 자료인 레이더-AWS 강우강도(RAR, Radar-AWS Rain rate) 시스템을 구축하여 개선하였으며, 둘째는 외삽과정을 통한 예보가 3시간이 지나면 예측능력이 감소하는 문제점을 보완하기 위해 현업 중규모 모델(RDAPS, Regional Data Assimilation and Prediction System)의 예측강수와 병합하여 모델을 개선하였다. 또한 이를 시계열 검증 및 공간 검증하는 실시간 검증 시스템을 구축하여 실시간으로 모델의 정확성을 평가하고 있다. 그 결과 입력자료 개선을 통한 모델의 정확도는 크게 향상된 결과는 볼 수 없었지만 미약하게 향상된 것을 확인할 수 있었으며, 모델의 병합을 통한 모델의 개선은 예측 3시간 이후부터는 50% 정도 향상되었다.의 대안을 제시하고자 한다.X>${\mu}_{max,A}$는 최대암모니아 섭취률을 이용하여 구한 결과 $0.65d^{-1}$로 나타났다.EX>$60%{\sim}87%$가 수심 10m 이내에 분포하였고, 녹조강과 남조강이 우점하는 하절기에는 5m 이내에 주로 분포하였다. 취수탑 지점의 수심이 연중 $25{\sim}35m$를 유지하는 H호의 경우 간헐식 폭기장치를 가동하는 기간은 물론 그 외 기간에도 취수구의 심도를 표층 10m 이하로 유지 할 경우 전체 조류 유입량을 60% 이상 저감할 수 있을 것으로 조사되었다.심볼 및 색채 디자인 등의 작업이 수반되어야 하며, 이들을 고려한 인터넷용 GIS기본도를 신규 제작한다. 상습침수지구와 관련된 각종 GIS데이타와 각 기관이 보유하고 있는 공공정보 가운데 공간정보와 연계되어야 하는 자료를 인터넷 GIS를 이용하여 효율적으로 관리하기 위해서는 단계별 구축전략이 필요하다. 따라서 본 논문에서는 인터넷 GIS를 이용하여 상습침수구역관련 정보를 검색, 처리 및 분석할 수 있는 상습침수 구역 종합정보화 시스템을 구축토록 하였다.N, 항목에서 보 상류가 높게 나타났으나, 철거되지 않은 검전보나 안양대교보에 비해 그 차이가 크지 않은 것으로 나타났다.의 기상변화가 자발성 기흉 발생에 영향을 미친다고 추론할 수 있었다. 향후 본 연구에서 추론된 기상변화와 기흉 발생과의 인과관계를 확인하고 좀 더 구체화하기 위한 연구가 필요할 것이다.게 이루어질 수 있을 것으로 기대된다.는 초과수익률이 상승하지만, 이후로는 감소하므로, 반전거래전략을 활용하는 경우 주식투자기간은 24개월이하의 중단기가 적합함을 발견하였다. 이상의 행태적 측면과 투자성과측면의 실증결과를 통하여 한국주식시장에

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Analysis of Drying Streams Characteristics Using a GIS (GIS를 이용한 건천화 하천의 특성분석)

  • Jung, Kwan-Sue;Cho, Hyo-Seob;Kim, Jeong-Yup;Shim, Myung-Pil
    • Journal of Korea Water Resources Association
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    • v.36 no.6
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    • pp.1083-1095
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    • 2003
  • The analysis of drying stream characteristics for about 500 streams from field survey data with 19 items has been fulfilled. Also, a study area has been determined, and criteria of estimation has been established : criteria such as, available hydrological data, the size of stream lengths and basin areas and regional characteristics. Then they are applied to designated study areas. The final selected study areas are 8 basins. The analysis of drying stream characteristics using a GIS has been applied to 5 basins in which spacial data is comparatively implemented among the final 8 target catchments. The spacial analysis using a GIS is applied to stream slopes for upstream and downstram at weirs, overlaying the map of buffering stream networks and ground water pump stations map, sinuosity of drying stream. As a result of drying streams survey analysis, drying stream characteristics are followed; levee types are earth and natural, cross sectional shapes are trapezoid, stream bed materials are gravels and sands, facilities in streams are weirs. As a result of GIS analysis, stream slopes are comparatively larger downstream than upstream close to weirs. There are arranged ground water pump stations less than 500m from stream networks. Also the average of sinuosity for each drying stream is in the range of 1.229∼1.475, comparatively a serious.

Assessing Sustained Drought Impacts on the Han River Basin Water Supply System Using Stochastic Streamflows (추계학적 모의유량을 이용한 한강수계 용수공급시스템의 장기지속가뭄 영향 평가)

  • Cha, Hyeung-Sun;Lee, Gwang-Man;Jung, Kwan-Sue
    • Journal of Korea Water Resources Association
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    • v.45 no.5
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    • pp.481-493
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    • 2012
  • The Uncertainty of drought events can be regarded as supernatural phenomena so that the uncertainty of water supply system will be also uncontrollable. Decision making for water supply system operation must be dealt with in consideration of hydrologic uncertainty conditions. When ultimate small quantity of precipitation or streamflow lasts, water supply system might be impacted as well as stream pollution, aqua- ecosystem degradation, reservoir dry-up and river aesthetic waste etc. In case of being incapable of supplying water owing to continuation of severe drought, it can make the damage very serious beyond our prediction. This study analyzes comprehensively sustained drought impacts on the Han River Basin Water Supply System. Drought scenarios consisted of several sustained times and return periods for 5 sub-watersheds are generated using a stochastic hydrologic time series model. The developed drought scenarios are applied to assess water supply performance at the Paldang Dam. The results show that multi-year drought events reflecting spatial hydrologic diversity need to be examined in order to recognize variation of the unexpected drought impacts.

Evaluation of Runoff and Sediment Yield Reduction with Diversion Ditch and Vegetated Swale Using WEPP Model (WEPP 모형을 이용한 우회수로 및 식생수로의 유출 및 토사유출 저감 평가)

  • Choi, Jae-Wan;Shin, Dong-Seok;Kim, Ik-Jae;Lim, Kyoung-Jae
    • Journal of Korea Water Resources Association
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    • v.44 no.11
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    • pp.863-873
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    • 2011
  • It has been known that soil erosion caused by water has been a serious problem worldwide. Thus various modeling techniques for conservationists, farmers, and other land users have been developed and utilized to estimate effects of numerous site-specific Best Management Practices on soil erosion reduction. The physical process-based WEPP model would provide both temporal and spatial estimates of soil loss within small watersheds and for hillslope profiles within small watersheds. Thus, the WEPP watershed version was applied to study watershed, located at Jawoon-ri, Gangwon to simulate diversion ditch and vegetated swale with detailed input data set. The sediment yield and runoff reduction rates reduced by 5.8% and 29.6% with diversion ditch and 9.8% and 14.5% with vegetated swale. With vegetated diversion ditch, runoff and sediment yield could be reduced by 11.8% and 40.4%, respectively. Based on the results obtained in this study, the WEPP model would be an useful tool to measure runoff and sediment yield reduction and establish site-specific sediment reduction best management plan.

Development and Evaluation of Computational Method for Korean Threshold Runoff (국내 유역특성을 반영한 한계유출량 산정기법 개발 및 평가)

  • Cho, Bae-Gun;Ji, Hee-Sook;Bae, Deg-Hyo
    • Journal of Korea Water Resources Association
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    • v.44 no.11
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    • pp.875-887
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    • 2011
  • The objective of this study is to develop and evaluate a Korean threshold runoff computation method. The selected study area is the Han-River basin and the stream channels in the study area are divided into 3 parts; natural channel and artificial manmade channel for small mountainous catchments, and main channel for master stream. The threshold runoff criteria for small streams is decided to 0.5 m water level increase from the channel bottom, which is the level that mountain climbers and campers successfully escape from natural flood damage. Threshold runoff values in natural channel of small mountainous area are computed by the results from the regional regression analysis between parameters of basin and stream channel, while those in artificial channel of small mountainous area are obtained from the data of basin and channel characteristics parameter. On the other hand, the threshold runoff values for master channel are used the warning flood level that is useful information for escaping guideline for riverside users. For verification of the threshold runoff computation method proposed in this study, three flash flood cases are selected and compared with observed values, which is obtained from SCS effective rainfall computation. The 1, 3, 6-hour effective rainfall values are greater than the corresponding threshold runoff values represents that the proposed computation results are reasonable.

Comparative Study on Water Rights (Regional, Riparian, and Appropriation) (지역수리권, 강변수리권과 점용수리권에 대한 비교 연구)

  • Koun, Hyoung-Joon;Park, Doo-Ho
    • Proceedings of the Korea Water Resources Association Conference
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    • 2009.05a
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    • pp.354-361
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    • 2009
  • 최근 물 사용 및 배분과 관련하여 각종 갈등이 첨예화 되면서 수리권에 대한 체계적인 정리가 필요하게 되었다. 특히, 각종 수리권의 적용 범위나 한계를 논하기 위해서는 근본적으로 하천의 자연유량과 인공유량에 대한 이해가 우선되어야 하는데 이는 수리권의 본질을 이해하는데 기본적인 사항이다. 이를 통해 자연스럽게 '강변수리권'과 '지역수리권', 그리고 또 다른 대표적인 수리권인 '점용수리권'에 대한 비교 검토를 함으로써 수리권에 대한 올바른 인식을 가능하게 하며 이로 인해 물의 합리적이고 효율적 배분에 기여할 수 있다. '강변수리권'은 오로지 강변에 위치한 토지에 필요한 물에 대해서만 적용되는 수리권으로 결과적으로 농업용수에 대한 권리이며 지방자치단체가 아닌 강변 토지 소유자에게 부속되어 있고 하천의 자연유량에만 적용되어 댐 건설로 인해 추가적으로 발생하는 유량에 대해서는 적용하지 않는다. 또한, '강변수리권'은 비록 사용하지 않아도 소멸되지 않으나 한번 소멸되면 회복할 수 없으며 타인에게 양도할 수 없다. 아울러 '강변수리권'끼리는 똑같은 우선권이 있기 때문에 물이 부족한 시기에는 주어진 양을 공유해서 사용하여야 하며 소량이지만 생활용수로 사용코자 하는 경우에는 등록증서가 필요하며 물을 저장해서 다른 시기에 쓰고자 한다면 수리권 허가가 필요하다. '점용수리권'은 "특정 기간동안 특정장소에서 특정한 용도로 특정 수원(水源)으로부터 특정한 양을 취수하는 배타적 권리이다". '점용수리권'은 물의 가용성(availability)을 기초로 하고 있으며 합리적이고 유용한 용도에 사용하는 것을 일반적인 원칙으로 하고 있다. '점용수리권'은 '선점수리권(first in time, first in right)'이라고도 하는데 '강변수리권'과는 다르게 강변에 인접하지 못한 토지소유자가 물을 취수하여 물을 이동시킬 수 있는 권리로 허가없이 증량할 수 없으며 5년간 사용하지 않는 경우에는 소멸된다. '점용수리권'을 얻고자 하는 사람은 장기간 물을 저장하여 사용하고자 하는 '강변수리권자'나 강변에 인접하지 않은 토지에서 지표수나 지하수를 저장하거나 사용하고자 하는 사람들이다. '지역수리권'을 뒷받침하는 사례로 자주 이용되는 미국의 경우에 주(州) 헌법이나 주(州) 수법에 주(州)내의 모든 물은 주(州)의 주민에 속한다고 천명하고 있다. 그러나, 추가적으로 수질관리, 홍수관리, 댐 운영, 재해방지 등 물과 관련한 포괄적인 기능도 주(州)의 책임으로 명시하고 있어 지방정부주(州)가 단지 물의 사용에 대한 권리만 위임받은 것이 아니며 물 관리에 따른 모든 책임까지도 함께 담당하고 있다는 우리나라와 같이 지방자치단체의 물 이용에 대한 권리만 의미하는 '지역수리권'과는 근본적으로 다름을 알 수 있다.

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Use of By-product Hydrated Lime as Alkali Activator of Blast Furnace Slag Blended Cement (고로수쇄(高爐水碎)슬래그 혼합(混合)시멘트의 알칼리 자극제(刺戟劑)로 부산소석회(副産消石灰)의 활용(活用))

  • Cho, Jin-Sang;Yu, Young-Hwan;Choi, Moon-Kwan;Cho, Kye-Hong;Kim, Hwan;Yeon, Kyu-Seok
    • Resources Recycling
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    • v.19 no.3
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    • pp.33-44
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    • 2010
  • In this study, the possibility of utilizing carbide lime waste, obtained from the generation of acetylene process, as a alkali activator of blast furnace slag cement was investigated. The physical and chemical analysis of the carbide lime waste was studied and three types lime waste in order to investigate behaviour as alkali activator were used. Lime wastes were added 0, 10, 20 and 30 wt.% in blast furnace slag and blast furnace slag containing lime waste were added 0, 10, 30 and 50 wt.% in OPC. As a result of analysis of hydration properties, in the case of calcium hydroxide rehydrated after heat treatment at $800^{\circ}C$, it was higher hydration rate than other specimens. For the results of compressive strength test, when lime waste passed 325 mesh sieve and rehydrated calcium hydroxide were used, it was higher compressive strength than OPC from hydration 7days. At OPC50 wt.%-BFS45 wt.%-AA5 wt.% system using lime waste of 325 mesh under, the highest compressive strength appeared.

Plant characters and yield of "Euiseong-Jakyak" a New Paeony Variety (작약 신품종 "의성작약" 의 주요특성 및 수량성)

  • 정상환
    • Korean Journal of Plant Resources
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    • v.8 no.2
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    • pp.189-193
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    • 1995
  • A new paeony variety 'Euiseongjakyak' was developed by Gyeongbug Provincial Rural Development Administration in 1993. This variety was selected from pure lint selection. It is characterized by red flower of single type, deep white flesh colour, straight and big radixs. When compared with 'Punggi jerye' a check variety, it is more resistant to lodging, disease and insect injury, and outyielded by 32% in total radix and 17% in marketable radix during 3 years regional performance trials. In the radix, the content of starch and sugar was higher by $9.8\sim12.22%$, crude protein and ash was similar and fiber was lower by 1.17% compared to 'Punggi jerye'.

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Prediction and Evaluation of Landslide Hazard Based on Regional Forest Environment (지역산림환경을 기반으로 한 산사태 발생 위험성의 예측 및 평가)

  • Ma, Ho-Seop;Kang, Won-Seok;Lee, Sung-Jae
    • Journal of Korean Society of Forest Science
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    • v.103 no.2
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    • pp.233-239
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    • 2014
  • This study was carried out to propose the criteria for the prediction of landslide occurrence through analysis the influence of each factor by using the quantification theory. The results obtained from this study are summarized as follows. From a stepwise regression analysis between the landslide area($m^2$) and environmental factors, the factors strongly affecting the landslide sediment($m^2$) were the Parents rock (igneous), cross slope(complex), coniferous forests (forest type) and slope gradient ($21{\sim}30^{\circ}$). According to the range, it was shown in order of Cross slope (0.2922), Parents rock (0.2691), Forest type (0.2631) and Slope gradient (0.2312). The range of prediction score of landslide occurrence has been distributed between score 0 and score 1.0556, the median value was score 0.5278. The prediction for class I was over 0.7818, for class II was 0.5279 to 0.7917, for class III 0.2694 to 0.5278 and for class IV was below 0.2693. The prediction on landslide occurrence appeared relatively high accuracy rate as 72% for class I and II. Therefore, this score table for landslide will be very useful for judgement of dangerous slope.

Quantitative Flood Forecasting Using Remotely-Sensed Data and Neural Networks

  • Kim, Gwangseob
    • Proceedings of the Korea Water Resources Association Conference
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    • 2002.05a
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    • pp.43-50
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    • 2002
  • Accurate quantitative forecasting of rainfall for basins with a short response time is essential to predict streamflow and flash floods. Previously, neural networks were used to develop a Quantitative Precipitation Forecasting (QPF) model that highly improved forecasting skill at specific locations in Pennsylvania, using both Numerical Weather Prediction (NWP) output and rainfall and radiosonde data. The objective of this study was to improve an existing artificial neural network model and incorporate the evolving structure and frequency of intense weather systems in the mid-Atlantic region of the United States for improved flood forecasting. Besides using radiosonde and rainfall data, the model also used the satellite-derived characteristics of storm systems such as tropical cyclones, mesoscale convective complex systems and convective cloud clusters as input. The convective classification and tracking system (CCATS) was used to identify and quantify storm properties such as life time, area, eccentricity, and track. As in standard expert prediction systems, the fundamental structure of the neural network model was learned from the hydroclimatology of the relationships between weather system, rainfall production and streamflow response in the study area. The new Quantitative Flood Forecasting (QFF) model was applied to predict streamflow peaks with lead-times of 18 and 24 hours over a five year period in 4 watersheds on the leeward side of the Appalachian mountains in the mid-Atlantic region. Threat scores consistently above .6 and close to 0.8 ∼ 0.9 were obtained fur 18 hour lead-time forecasts, and skill scores of at least 4% and up to 6% were attained for the 24 hour lead-time forecasts. This work demonstrates that multisensor data cast into an expert information system such as neural networks, if built upon scientific understanding of regional hydrometeorology, can lead to significant gains in the forecast skill of extreme rainfall and associated floods. In particular, this study validates our hypothesis that accurate and extended flood forecast lead-times can be attained by taking into consideration the synoptic evolution of atmospheric conditions extracted from the analysis of large-area remotely sensed imagery While physically-based numerical weather prediction and river routing models cannot accurately depict complex natural non-linear processes, and thus have difficulty in simulating extreme events such as heavy rainfall and floods, data-driven approaches should be viewed as a strong alternative in operational hydrology. This is especially more pertinent at a time when the diversity of sensors in satellites and ground-based operational weather monitoring systems provide large volumes of data on a real-time basis.

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