• 한국수자원학회:학술대회논문집
• /
• 한국수자원학회 2008년도 학술발표회 논문집
• /
• pp.1151-1154
• /
• 2008

The water level data sets among hydrologic observation data are correspond to the hydraulic head for each observation point and determine flow direction. The level difference among reservoir, river, and groundwater determines groundwater flow direction, just like water flows in the downstream direction because the water level of upstream point is higher than that of downstream point. We can analyze the relationship among the components in hydrologic cycle by comparing the water level differences. This research dealt with the data from Nakdong river watershed in Gyungsangnam-Do. Three data group are used for the analysis and onr group is composed of reservoir, river, and groundwater data sets. The data sets are closely(within 10 km) located in the interested area.

• 한국환경과학회지
• /
• 제27권2호
• /
• pp.63-74
• /
• 2018

As part of the Four Major Rivers Restoration Project, multifunctional weirs have been constructed in the rivers and operated for river-level management. As the weirs play a role in draining water from tributaries, the aim of this study was to determine the influence of the weirs on the water level of the Nam River, which is one of the Nakdong River's tributaries. Self-organizing maps (SOMs) and a locally weighted scatterplot smoothing (LOWESS) technique were applied to analyze the patterns and trends of water level and quality of the Nakdong River, considering the operation of the Changnyeong-Haman weir, which is located where the Nam River flows into the Nakdong River. The software program HEC-RAS was used to find the boundary points where the water is well drained. Per the study results at the monitoring points ranging between the junction of the two rivers and 17.5 km upstream toward the Nam River, the multifunctional weir influenced the water level at the Geoyrong and Daesan observation stations on the Nam River and the water quality based on automatic monitoring at the Chilseo station on the Nakdong River was affected strongly by the Nakdong River and partly by the Nam River.

• 한국멀티미디어학회논문지
• /
• 제21권12호
• /
• pp.1431-1438
• /
• 2018

In this paper, we proposed a river water level detection and tracking of the river or dams based on image processing system. In past, most of the water level detection system used various water sensors. Those water sensors works perfectly but have many drawbacks such as high cost and harsh weather. Water level monitoring system helps in forecasting early river disasters and maintenance of the water body area. However, the early river disaster warning system introduces many conflicting requirements. Surveillance camera based water level detection system depends on either the area of interest from the water body or on optical flow algorithm. This proposed system is focused on water scaling area of a river or dam to detect water level. After the detection of scale area from water body, the proposed algorithm will immediately focus on the digits available on that area. Using the numbers on the scale, water level of the river is predicted. This proposed system is successfully tested on different water bodies to detect the water level area and predicted the water level.

• 한국수자원학회논문집
• /
• 제33권5호
• /
• pp.635-645
• /
• 2000

감조하천에서는 수위, 유량과 조석이 상호관련이 있다. 특히 저수위에서 조석의 영향을 감안하지 않은 수위-유량관계는 부정확하다. 본 논문에서는 수위와 조위의 수면차를 변수로 하여 감조하천에서의 유량을 계산할 수 있도록 하였다. 이를 위해 태화강 감조부에 위치한 울산수위관측소 지점의 저수위 유량을 수위 및 수위와 조위의 수면차로 나타내는 다중회귀식을 개발하였으며, 기존의 수위-유량곡선식과 비교한 결과 우수한 적용성을 확인하였다.

• 한국환경과학회지
• /
• 제27권6호
• /
• pp.371-381
• /
• 2018

Multifunctional weirs constructed through the Four Major Rivers Restoration Project are operated as management water levels. The purpose of this study was to evaluate the effect of water level in the main stem on the tributary water level according to multifunctional weir operation, because the operation of multifunctional weirs for water level management influences the drainage of tributaries. In this study, water level pressure gauges were installed and spatial and temporal water quality was observed. The LOcally Weighted Scatterplot Smoothing (LOWESS) technique was applied to the Nakdong River and the Baekcheon Junction, both upstream of the Gangjeong-Goryeong weir, in order to analyze water quality trends. When considering the overall analysis and observations, it was found that the water quality forecasting point located at the Baekcheon estuary point should be transferred to the Dosung Bridge, which is located upstream of the Sunwon Bridge.

• 한국정보통신학회논문지
• /
• 제24권2호
• /
• pp.198-203
• /
• 2020

본 논문에서는 소규모 강의 범람 예측을 위한 인공 수위 예측 시스템을 제안한다. 강의 수위 예측은 홍수 피해를 줄일 수 있는 대책이 될 수 있다. 그러나 하천 범람에 영향을 미치는 강 또는 강우의 고유 특성으로 인해 범람 모델을 구축하기가 어렵다. 일반적으로 하류 수위는 상류의 인접한 수위에 영향을 받는다. 따라서 본 연구에서는 측정 지점에서 수위를 예측하기 위해 두 개의 상류 측정 지점의 수위를 순환신경망(LSTM)을 사용하여 인공 지능 모델을 구축했다. 제안 된 인공 지능 시스템은 수위 측정기를 설계하고 Nodejs를 사용하여 서버를 구축했다. 제안 된 신경망 하드웨어 시스템은 실제 강에서 6시간마다 수위를 잘 예측함을 알 수 있었다.

• 한국농공학회논문집
• /
• 제66권4호
• /
• pp.51-57
• /
• 2024

This study was conducted on how to simulate runoff, which was done using existing physical models, using an LSTM (Long Short-Term Memory) model based on deep learning. Tancheon, the first tributary of the Han River, was selected as the target area for the model application. To apply the model, one water level observatory and four rainfall observatories were selected, and hourly data from 2020 to 2023 were collected to apply the model. River water level of the outlet of the Tancheon basin was simulated by inputting precipitation data from four rainfall observation stations in the basin and average preceding 72-hour precipitation data for each hour. As a result of water level simulation using 2021 to 2023 data for learning and testing with 2020 data, it was confirmed that reliable simulation results were produced through appropriate learning steps, reaching a certain mean absolute error in a short period time. Despite the short data period, it was found that the mean absolute percentage error was 0.5544~0.6226%, showing an accuracy of over 99.4%. As a result of comparing the simulated and observed values of the rapidly changing river water level during a specific heavy rain period, the coefficient of determination was found to be 0.9754 and 0.9884. It was determined that the performance of LSTM, which aims to simulate river water levels, could be improved by including preceding precipitation in the input data and using precipitation data from various rainfall observation stations within the basin.

• 한국수자원학회:학술대회논문집
• /
• 한국수자원학회 2006년도 학술발표회 논문집
• /
• pp.36-44
• /
• 2006

Based on water resources availability and development condition of the Lancang River, as well as considering the international river water resources characters, the paper put forwarded an integrated allocation way of the water resources of Lancang River Basin. According to the basic rules of equitable and suitable utilization of water resources of international rivers, water resources demand for domestic, industrial, irrigation and ecosystem system, and principles of society stabilities and the food safety etc, an index system of Lancang River water resources allocation was set up. Two levels scheme of Lancang River water allocation are proposed. First level is for an international water, which primarily to analysis the water quantity at the national boundary. Second level is for provincial water allocation among Qinghai, Yunnan provinces and Tibetan Autonomous Region. In the allocation schemes, the water resources development of Lancang River Basin at different scenarios and the related water allocation in different years and seasons were analyzed. A discharge to some cross sections of the river and a total amount water quantity for each district has been given as well.

• 산업경영시스템학회지
• /
• 제38권1호
• /
• pp.118-123
• /
• 2015

There have been various studies on measurements of flood risk and forecasting models. For river and dam region, PDF and FVI has been proposed for measurement of flood risk and regression models have been applied for forecasting model. For Bo region unlikely river or dam region, flood risk would unexpectedly increase due to outgoing water to keep water amount under the designated risk level even the drain system could hardly manage the water amount. GFI and general linear model was proposed for flood risk measurement and forecasting model. In this paper, FVI with the consideration of duration on GFI was proposed for flood risk measurement at Bo region. General linear model was applied to the empirical data from Bo region of Nadong river to derive the forecasting model of FVI at three different values of Base High Level, 2m, 2.5m and 3m. The significant predictor variables on the target variable, FVI were as follows: ground water level based on sea level with negative effect, difference between ground altitude of ground water and river level with negative effect, and difference between ground water level and river level after Bo water being filled with positive sign for quantitative variables. And for qualitative variable, effective soil depth and ground soil type were significant for FVI.

• 상하수도학회지
• /
• 제26권4호
• /
• pp.547-554
• /
• 2012

As a national river remediation project has been completed, this study has a special interest on the capabilities to predict water levels at various points of the Geum River. To be endowed with intelligent forecasting capabilities, the author formulate the neuro-genetic algorithm associated with the short-term water level prediction model. The results show that neuro-genetic algorithm has considerable potentials to be practically used for water level forecasting, revealing that (1) model optimization can be obtained easily and systematically, and (2) validity in predicting one- or two-day ahead water levels can be fully proved at various points.