• Title/Summary/Keyword: basin-wide

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Geomorphological Characteristics of the Miho Stream Flowing through a Granitic Plain, South Korea (화강암 분지를 흐르는 미호천의 지형학적 특색)

  • Kim, Young Rae
    • Journal of The Geomorphological Association of Korea
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    • v.28 no.3
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    • pp.1-11
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    • 2021
  • The drainage area of the Miho stream is composed of granitic basins, gneissic and sedimentary mountains. 80 percent of the Miho stream flows through the Jincheon basin and the Cheongju inner-plain within the Daebo granite belt. Because the deep weathering of granitic hills provides a large amount of sands to the streams, there are wide floodplains with thick alluvium developed in the basin and plain. The thickness of the alluvium is 5~10m and the width of the floodplains is 2~2.5km. In the basin outlet area where a stream passes through the mountain canyon, wide floodplains and deep alluvium are developed in other riverside. The Miho stream is a sand-gravel channel flowing through the Cheongju inner-plain with wide floodplains and deep alluvium formed by deep weathering of granite.

An approach for deformation modulus mechanism of super-high arch dams

  • Wu, Bangbin;Niu, Jingtai;Su, Huaizhi;Yang, Meng;Wu, Zhongru;Cui, Xinbo
    • Structural Engineering and Mechanics
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    • v.69 no.5
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    • pp.557-566
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    • 2019
  • The reservoir basin bedrock produced significant impact on the long-term service safety of super-high arch dams. It was important for accurately identifying geomechanical parameters and its evolution process of reservoir basin bedrock. The deformation modulus mechanism research methods of reservoir basin bedrock deformation modulus for super-high arch dams was carried out by finite element numerical calculation of the reservoir basin bedrock deformation and in-situ monitoring data analysis. The deformation modulus inversion principle of reservoir basin bedrock in a wide range was studied. The convergence criteria for determining the calculation range of reservoir basin of super-high arch dams was put forward. The implementation method was proposed for different layers and zones of reservoir basin bedrock. A practical engineering of a super-high arch dam was taken as the example.

Development of Basin-wide runoff Analysis Model for Integrated Real-time Water Management (실시간 물 관리 운영을 위한 유역 유출 모의 모형 개발)

  • Hwang, Man-Ha;Maeng, Sung-Jin;Ko, Ick-Hwan;Park, Jeong-In;Ryoo, So-Ra
    • Proceedings of the Korean Society of Agricultural Engineers Conference
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    • 2003.10a
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    • pp.507-510
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    • 2003
  • The development of a basin-wide runoff analysis model is to analysis monthly and daily hydrologic runoff components including surface runoff, subsurface runoff, return flow, etc. at key operation station in the targeted basin. A short-term water demand forecasting technology will be developed taking into account the patterns of municipal, industrial and agricultural water uses. For the development and utilization of runoff analysis model, relevant basin information including historical precipitation and river water stage data, geophysical basin characteristics, and water intake and consumptions needs to be collected and stored into the hydrologic database of Integrated Real-time Water Information System. The well-known SSARR model was selected for the basis of continuous daily runoff model for forecasting short and long-term natural flows.

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Development of Rainfall-Runoff forecasting System (유역 유출 예측 시스템 개발)

  • Hwang, Man Ha;Maeng, Sung Jin;Ko, Ick Hwan;Ryoo, So Ra
    • Proceedings of the Korea Water Resources Association Conference
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    • 2004.05b
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    • pp.709-712
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    • 2004
  • The development of a basin-wide runoff analysis model is to analysis monthly and daily hydrologic runoff components including surface runoff, subsurface runoff, return flow, etc. at key operation station in the targeted basin. h short-term water demand forecasting technology will be developed fatting into account the patterns of municipal, industrial and agricultural water uses. For the development and utilization of runoff analysis model, relevant basin information including historical precipitation and river water stage data, geophysical basin characteristics, and water intake and consumptions needs to be collected and stored into the hydrologic database of Integrated Real-time Water Information System. The well-known SSARR model was selected for the basis of continuous daily runoff model for forecasting short and long-term natural flows.

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Water, Energy, and Food Nexus Simulation Considering Inter-Basin Trade

  • Wicaksono, Albert;Jeong, Gimoon;Kang, Doosun
    • Proceedings of the Korea Water Resources Association Conference
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    • 2016.05a
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    • pp.190-190
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    • 2016
  • The Water, Energy, and Food (WEF) nexus is an emerging concept for sustainable resources planning and management. The three valuable resources are inevitably interconnected, that is, it takes water to produce energy; it takes energy to extract, treat, and distribute water; and both water and energy are required to produce food. Although it is challenging to fully understand the complicated interdependency, a few studies have been devoted to interpret the concept and develop the assessment tools. The tools were mainly developed for nation-wide simulations without considering inter-basin or inter-state resources trade. This study tries to present an idea to develop and implement the WEF nexus simulation model in regional scale by advancing the existing nation-wide model with additional capability to simulate the inter-basin trade. This simulation could help local planners and engineers to determine optimal policies and infrastructure solutions to reach and ensure local demand satisfaction. The simulation model is implemented in hypothetical areas with different conditions of WEF demands and supplies. Although the inter-basin trade scenarios are simulated manually, it shows that the inter-basin resources trade could enhance the resources security for a longer time period. In future, an optimization model might be developed to provide the automatic calculation to reach optimum amount of WEF for the trade, which can be a helpful tool in decision making process.

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Seismic image of a new cretaceous(\ulcorner) sedimentary basin of the southwestern Korean continental shelf (한국 서남대륙붕의 새로운 백악기(\ulcorner) 퇴적분지의 탄성파 영상)

  • 오진용
    • Economic and Environmental Geology
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    • v.32 no.1
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    • pp.33-41
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    • 1999
  • A new sedimentary basin is reported from the marine multi-channel seismic data which were acquired for the hydrocarbon exploration on the southwestern Korean continental shelf in 1970. Along the southeastern part of Line 1192, the about 60-km-long basin with the thickness of 0.55~1.1 s is observed on the near-trace gather. However, both new and previous 24-fold stack sections fail to show the basin image probably due to its rugged top beneath the shallow water. The boundary contact between the basement with the velocity of about 5200m/s and the basin filling with the velocities of 4300~4700 m/s is unclear. These velocites are calculated from the corresponding shot gathers. Compared with the Haenam Basin, a neighbouring onshore Cretaceous sedimentary basin, we interpret that the new basin includes the volcanics and volcaniclastic sequences deposited in the lacustrine environment. This nonmarine basin was possibly formed as the result of the tectonic movement during the Cretaceous, implying the wide occurrence of the Cretaceous basins over the southern Korean Peninsula as well as its southwestern continental shelf.

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Basin-Wide Multi-Reservoir Operation Using Reinforcement Learning (강화학습법을 이용한 유역통합 저수지군 운영)

  • Lee, Jin-Hee;Shim, Myung-Pil
    • Proceedings of the Korea Water Resources Association Conference
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    • 2006.05a
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    • pp.354-359
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    • 2006
  • The analysis of large-scale water resources systems is often complicated by the presence of multiple reservoirs and diversions, the uncertainty of unregulated inflows and demands, and conflicting objectives. Reinforcement learning is presented herein as a new approach to solving the challenging problem of stochastic optimization of multi-reservoir systems. The Q-Learning method, one of the reinforcement learning algorithms, is used for generating integrated monthly operation rules for the Keum River basin in Korea. The Q-Learning model is evaluated by comparing with implicit stochastic dynamic programming and sampling stochastic dynamic programming approaches. Evaluation of the stochastic basin-wide operational models considered several options relating to the choice of hydrologic state and discount factors as well as various stochastic dynamic programming models. The performance of Q-Learning model outperforms the other models in handling of uncertainty of inflows.

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Conversion Factors for Ten-Day Irrigation Duties of Paddy Rice in the Han River Basin (한강수계 논의 순별 단위용수량 변환계수)

  • 강문성;박승우;김현준;강민구
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.42 no.6
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    • pp.45-55
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    • 2000
  • Seasonal water requirements by paddy rice is important to water budgeting for the water resources planning at a basin scale. This paper compares the water requirements resulting from different approaches for the Han River Basin. The demands from the drought years of 1967 and 1968 were found to be significantly less than the irrigation standards. This may result in significant underestimation of the basin-wide water demands. A conversion factor method is proposed to define seasonal irrigation demands. The factor is defined from the ratios of the standards for each growing stage to the drought year demands. The results were compared satisfactorily with those from the irrigation standards, and readily applicable to the water resources planning.

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