• Title/Summary/Keyword: 강우 자료

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Evaluation of Soil Organic Carbon of Upland Soil According to Fertilization and Agricultural Management Using DNDC Model (DNDC 모형을 이용한 시비와 영농관리에 따른 밭포장의 토양유기탄소 변동 평가)

  • Lee, Kyoungsook;Yoon, Kwangsik;Choi, Dongho;Jung, Jaewoon;Choi, Woojung;Lim, Sangsun
    • Journal of Environmental Impact Assessment
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    • v.24 no.1
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    • pp.1-15
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    • 2015
  • To mitigate the impacts of climate change on agricultural ecosystems, development of agricultural management for enhanced soil carbon sequestration is required. In this study, the effects of fertilizer types (chemical fertilizer and manure compost), cropping systems, and crop residue management on SOC(Soil Organic Carbon) sequestration were investigated. Summer corn and winter barley were cultivated on experimental plots under natural rainfall conditions for two years with chemical fertilizer and manure compost. Soil samples were collected conducted and analyzed for SOC for soil. To estimate long-term variation patterns of SOC, DNDC was run with the experimental data and the weather input parameters from 1981 to 2010. DNDC simulation demonstrated SOC reduction by chemical fertilizer treatment unless plant residues are returned; whereas compost treatments increased SOC under the same conditions and SOC increment was proportional to compost application rate. In addition, SOC further increased under corn-barley cropping system over single corn cropping due to more compost application. Regardless of nutrient input type, residue return increased SOC; however, the magnitude of SOC increase by residue return was lower than by compost application.

Study on development of data base system and pattern analysis of tunnel portal slope in Korea (국내 터널 갱구사면 데이터베이스관리 시스템 개발 및 상태평가 기법에 관한 연구)

  • Baek, Yong;Kwon, O-Il;Koo, Ho-Bon;Bae, Gyu-Jin;Lee, Seoung-Ho
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.6 no.3
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    • pp.213-225
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    • 2004
  • The number of tunnels are in fact increasing as a part of linear improvement project of general national highway and road enlargement and pavement project. Recently, collapses of portal slope are also occurring considerably, due to local raining from severe rain storm and abnormal weather. Accordingly, it was risen a necessity to efficiently respond to tunnel portal slope damage and maintenance in Korea and oversea nations. This paper is a basic proposal to execute a survey on the current status and state of the tunnel portal slopes that were already installed and are now being operated along general national highways, and also to execute state evaluation for the purpose of managing those effectively. As a research method, domestic tunnels were analyzed in accordance with geometrical shape such as access type, portal form, and tunnel type, etc. via field survey to analyze the types of tunnel portal slopes along national highways. State evaluation classification sheet is presented to divide classes for the danger state of the surveyed portal slopes, and then the related grades are divided. It is mainly aimed at classifying the tunnel portal slope along national highways with using this state evaluation, to use it as basic data so that continuous maintenance can be executed in the future in accordance with danger classes.

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Soil Moisture Monitoring at a Hillslope Scale Considering Spatial-Temporal Characteristics (봄, 가을철 시공간적 특성을 고려한 사면에서의 토양수분 거동파악)

  • Oh Kyoung-Joon;Lee Hye-Sun;Kim Do-Hoon;Kim Hyun-Jun;Kim Nam-Won;Kim Sang-Hyun
    • Journal of Korea Water Resources Association
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    • v.39 no.7 s.168
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    • pp.605-615
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    • 2006
  • In order to analyze movement of soil moisture, Time Domain Reflectometry(TDR) with multiplex system has been installed at the Bumreunsa hillslope of Sulmachun Watershed to configure spatial-temporal variation pattern considering seasonal characteristic. An intensive surveying was performed to build a refined digital elevation model(DEM) and flow determination algorithms with inverse surveying have been applied to establish an efficient soil moisture monitoring system. Soil moisture data were collected through an intensive and long term monitoring 380 hrs in November of 2003 and 1037 hrs in May and June of 2004. Soil moisture data shows corresponding variation characteristics of soil moisture on the up slope, buffer, main channel zones of the hillslope which were classified from terrain analysis. Measured soil moisture data were discussed in conjunction with flow characteristic through terrain analysis. Regardless season, immediate responses of soil moisture about rainfall looks similar but recession and recharge are primary characteristics of intermediate soil moisture variation for spring to summer and fall to winter season, respectively.

Tracing of the Behavior of Flood Wave Propagation Using LSPIV (LSPIV를 이용한 홍수파의 거동 추적)

  • Kim, Young-Sung
    • Proceedings of the Korea Water Resources Association Conference
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    • 2008.05a
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    • pp.1774-1778
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    • 2008
  • 유량 환산에 이용되는 수위-유량 관계곡선식은 하천의 흐름을 정상 등류상태로 가정하고 유속계를 하천에 투입하여 년간 정해진 횟수의 유량측정을 실시하여 이로부터 갱신하여 작성하고 있다. 평수기에는 이렇게 기기를 이용하여 유량측정이 가능하지만 홍수기나 갈수기에는 접촉식 유속계를 이용한 하천유량 측정이 불가능한 실정이다. 홍수기에는 기기 손상과 관측자의 안전이 위협받는 실정이고, 갈수기에는 유속이 너무 느려서 (0.1 m/s 이하) 프로펠러 유속계의 경우 유속의 정확한 관측이 힘들다. 또한 전지구적 빈번한 이상기후의 현실정에서 가장 중요한 기초 수문자료인 홍수량의 정확한 측정 자료는 많지 않다. 홍수유량을 측정하기 위해서 현재에도 기존의 봉부자를 이용하거나 유비쿼터스 센서를 장착한 봉부자를 이용하는 유량측정 기법이 향해지고 계속적으로 소개되고 있는 실정이지만 봉부자의 특성상 정확한 유량을 계산하기에는 어려움이 많다. 현재 선진국에서는 흐름과 비접촉식 방법을 이용한 하천유량측정 방법이 지난 10 여년간 꾸준이 연구되어 왔다. 그중 대표전인 것이 전자파를 이용한 방법과 영상해석에 의한 방법이다. 전자의 경우 국내에서는 수자원공사에서 10년 이상 연구 개발하여 상품화 시킨바 현업에서 이를 이용하여 홍수유량측정을 실시하고 있다. 후자의 방법은 유체역학 분야에서 흐름해석에 주로 이용되어지던 PIV(particle image velocimetry) 기법을 하천과 같이 대규모의 흐름영역에 적용가능하도록 개발된 기술로 LSPIV (large-casle particle image velocimetry)라 불리우는 기술이다. 본 연구에서는 미국 Iowa 대학에서 개발한 LSPIV를 이용하여 홍수파의 진행시 수위와 유량의 두 변수 사이에 나타나는 Loop rating curve의 이론적인 관계를 하천현장에서 일정시간 간격으로 실측을 통하여 파악하고자 하였다. 현장실험을 위한 대상지점으로 미국 Iowa주 Coralville 시내 Clear Creek의 USGS (US Geologival Survey) 수위관측소 지점을 선택하여 본 연구에서 실시한 유량측정 결과의 비교가 가능토록 하였다. LSPIV는 그 특성상 야간에는 적용하는데 어려움이 있어 아침시간부터 해가 지기 직전까지의 자연채광 조건의 영상취득이 가능한 시간대에서 표면유속을 측정하였고 이에 수심평균유속환산계수를 적용하여 유량을 계산하였다. 강우의 발생으로 인한 홍수파의 진행시 총 43회의 유량을 측정하였는바 이를 이용하여 이 지점의 수위-유량 관계식과 비교한 결과 거의 일치하는 결과를 나타냈다. 특히 홍수파의 진행시 고수위 영역에서의 측정한 결과는 수위의 상승기에는 최고로 7.5% 까지 측정유량이 수위-유량관계식에서 계산한 유량보다 컸으며, 수위의 하강기에는 반대로 최고 5.4% 정도까지 측정유량이 수위-유량관계식에서 계산한 유량보다 작게 나타났다. 또한 최대유량의 발생시기는 최고수위 발생직전의 수위라는 것이 파악되었다. 이러한 경향은 수위-유량 관계곡선의 이론과 잘 일치하는 것이다.

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Soil Erosion Assessment Tool - Water Erosion Prediction Project (WEPP) (토양 침식 예측 모델 - Water Erosion Prediction Project (WEPP))

  • Kim, Min-Kyeong;Park, Seong-Jin;Choi, Chul-Man;Ko, Byong-Gu;Lee, Jong-Sik;Flanagan, D.C.
    • Korean Journal of Soil Science and Fertilizer
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    • v.41 no.4
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    • pp.235-238
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    • 2008
  • The Water Erosion Prediction Project (WEPP) was initiated in August 1985 to develop new generation water erosion prediction technology for federal agencies involved in soil and water conservation and environmental planning and assessment. Developed by USDA-ARS as a replacement for empirical erosion prediction technologies, the WEPP model simulates many of the physical processes important in soil erosion, including infiltration, runoff, raindrop detachment, flow detachment, sediment transport, deposition, plant growth and residue decomposition. The WEPP included an extensive field experimental program conducted on cropland, rangeland, and disturbed forest sites to obtain data required to parameterize and test the model. A large team effort at numerous research locations, ARS laboratories, and cooperating land-grant universities was needed to develop this state-of-the-art simulation model. The WEPP model is used for hillslope applications or on small watersheds. Because it is physically based, the model has been successfully used in the evaluation of important natural resources issues throughout the United State and in several other countries. Recent model enhancements include a graphical Windows interface and integration of WEPP with GIS software. A combined wind and water erosion prediction system with easily accessible databases and a common interface is planned for the future.

Adaptation Capability of Reservoirs Considering Climate Change in the Han River Basin, South Korea (기후변화를 고려한 한강유역 저수지의 적응능력 평가)

  • Chung, Gunhui;Jeon, Myeonho;Kim, Hungsoo;Kim, Tae-Woong
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.31 no.5B
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    • pp.439-447
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    • 2011
  • It is a main concern for sustainable development in water resources management to evaluate adaptation capability of water resources structures under the future climate conditions. This study introduced the Fuzzy Inference System (FIS) to represent the change of release and storage of reservoirs in the Han River basin corresponding to various inflows. Defining the adaptation capability of reservoirs as the change of maximum and/or minimum of storage corresponding to the change of inflow, the study showed that Gangdong Dam has the worst adaptation capability on the variation of inflow, while Soyanggang Dam has the best capability. This study also constructed an Adaptive Neuro-Fuzzy Inference System (ANFIS) for the more accurate and efficient simulation of the adaptation capability of the Soyanggang Dam. Nine Inflow scenarios were generated using historical data from frequency analysis and synthetic data from two general circulation models with different climate change scenarios. The ANFIS showed significantly different consequences of the release and reservoir storage upon inflow scenarios of Soyanggang Dam, whilst it provides stable reservoir operations despite the variability of rainfall pattern.

The Application of Adaptive Network-based Fuzzy Inference System (ANFIS) for Modeling the Hourly Runoff in the Gapcheon Watershed (적응형 네트워크 기반 퍼지추론 시스템을 적용한 갑천유역의 홍수유출 모델링)

  • Kim, Ho Jun;Chung, Gunhui;Lee, Do-Hun;Lee, Eun Tae
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.31 no.5B
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    • pp.405-414
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    • 2011
  • The adaptive network-based fuzzy inference system (ANFIS) which had a success for time series prediction and system control was applied for modeling the hourly runoff in the Gapcheon watershed. The ANFIS used the antecedent rainfall and runoff as the input. The ANFIS was trained by varying the various simulation factors such as mean areal rainfall estimation, the number of input variables, the type of membership function and the number of membership function. The root mean square error (RMSE), mean peak runoff error (PE), and mean peak time error (TE) were used for validating the ANFIS simulation. The ANFIS predicted runoff was in good agreement with the measured runoff and the applicability of ANFIS for modelling the hourly runoff appeared to be good. The forecasting ability of ANFIS up to the maximum 8 lead hour was investigated by applying the different input structure to ANFIS model. The accuracy of ANFIS for predicting the hourly runoff was reduced as the forecasting lead hours increased. The long-term predictability of ANFIS for forecasting the hourly runoff at longer lead hours appeared to be limited. The ANFIS might be useful for modeling the hourly runoff and has an advantage over the physically based models because the model construction of ANFIS based on only input and output data is relatively simple.

An Assessment on the Hydraulic Characteristics of a Multi-dimensional Model in Response to Measurement Resolution and Spatial Interpolation Methods (지형자료의 해상도와 공간보간기법에 따른 다차원 수리모형의 유출 특성 평가)

  • Ahn, Jung-Min;Park, In-Hyeok
    • Journal of Korean Society for Geospatial Information Science
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    • v.20 no.1
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    • pp.43-51
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    • 2012
  • Due to the increasing demand to utilize water fronts and water resource effectively, a multi-dimensional model that provides detailed hydraulic characteristics is required in order to improve the decision making process. An EFDC model is a kind of multi-dimension model, and it requires detailed 3D (3-dimensional) terrain in order to simulate the hydraulic characteristics of stream flow. In the case of 3D terrain creation, especially river reaches, measurement resolution and spatial interpolation methods affect the detailed 3D topography which uses input data for EFDC simulation. Such results make hydraulic characteristics to be varied. This study aims to examine EFDC simulation results depending on the 3D topographies derived by separate measurement resolution and spatial interpolation methods. The study area is at the confluence of the Nakdong and Kuemho Rivers and the event rain implemented was Typhoon Ewiniar in 2006. As a result, in the case of the area-elevation curve, the difference by means of the interpolation methods was significant when applying the same measurement resolution, except at 160m resolution. Furthermore, when the measurement resolution was 80m or above, the difference in a cross-section was occurred. Meanwhile, the water level changes between interpolation methods were insignificant by the measurement resolution except when the Kriging method was used for the 160m measurement data. Velocity changes emerged according to the interpolation methods when measurement resolution was 80m or above and the Kriging method resulted in a velocity that had a considerable gap in relation to the results from other methods at a measurement resolution of 160m.

Uncertainty of Discharge-SS Relationship Used for Turbid Flow Modeling (탁수모델링에 사용하는 유량-SS 관계의 불확실성)

  • Chung, Se-Woong;Lee, Jung-Hyun;Lee, Heung-Soo;Maeng, Seung-Jin
    • Journal of Korea Water Resources Association
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    • v.44 no.12
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    • pp.991-1000
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    • 2011
  • The relationship between discharge (Q) and suspended sediment (SS) concentration often is used for the estimation of inflow SS concentration in reservoir turbidity modeling in the absence of actual measurements. The power function, SS=aQb, is the most commonly used empirical relation to determine the SS load assuming the SS flux is controlled by variations of discharge. However, Q-SS relation typically is site specific and can vary depending on the season of the year. In addition, the relation sometimes shows hysteresis during rising limb and falling limb for an event hydrograph. The objective of this study was to examine the hysteresis of Q-SS relationships through continuous field measurements during flood events at inflow rivers of Yongdam Reservoir and Soyang Reservoir, and to analyze its effect on the bias of SS load estimation. The results confirmed that Q-SS relations display a high degree of scatter and clock-wise hysteresis during flood events, and higher SS concentrations were observed during rising limb than falling limb at the same discharge. The hysteresis caused significant bias and underestimation of SS loading to the reservoirs when the power function is used, which is important consideration in turbidity modeling for the reservoirs. As an alternative of Q-SS relation, turbidity-SS relation is suggested. The turbidity-SS relations showed less variations and dramatically reduced the bias with observed SS loading. Therefore, a real-time monitoring of inflow turbidity is necessary to better estimate of SS influx to the reservoirs and enhance the reliability of reservoir turbidity modeling.

The Evaluation of TOPLATS Land Surface Model Application for Forecasting Flash Flood in mountainous areas (산지돌발홍수 예측을 위한 TOPLATS 지표해석모델 적용성 평가)

  • Lee, Byong Jua;Choi, Su Mina;Yoon, Seong Sima;Choi, Young Jean
    • Journal of Korea Water Resources Association
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    • v.49 no.1
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    • pp.19-28
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    • 2016
  • The objective of this study is the generation of the gridded flash flood index using the gridded hydrologic components of TOPLATS land surface model and statistic flash flood index model. The accuracy of this method is also examined in this study. The study area is the national capital region of Korea, and 38 flash flood damages had occurred from 2009 to 2012. The spatio-temporal resolutions of land surface model are 1 h and 1 km, respectively. The gridded meteorological data are generated using the inverse distance weight method with automatic weather stations (AWSs) of Korea Meteorological Administration (KMA). The hydrological components (e.g., surface runoff, soil water contents, and water table depth) of cells corresponding to the positions of 38 flood damages reasonably respond to the cell based hourly rainfalls. Under the total rainfall condition, the gridded flash flood index shows 71% to 87% from 4 h to 6 h in the lead time based on the rescue request time and 42% to 52% of accuracy at 0 h which means that the time period of the lead time is in a limited rescue request time. From these results, it is known that the gridded flash flood index using the cell based hydrological components from land surface model and the statistic flash flood index model have a capability to predict flash flood in the mountainous area.