• Title/Summary/Keyword: water level-storage

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Securement of Upland Irrigation Water in Small Dams through Periodical Management of Storage Level (기간별 저수 관리를 통한 소규모 댐의 밭 관개용수 확보)

  • Kim, Sun-Joo;Lee, Joo-Yong;Kim, Phil-Shik
    • Journal of The Korean Society of Agricultural Engineers
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    • v.47 no.2
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    • pp.3-12
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    • 2005
  • The objective of this study is securement of upland irrigation water using storage level management of small dams. However, it is not new development of water resources but securement of water using storage level management of existing dam. This study has enhanced the water utilization coefficient of dam, after extra available water had been calculated by application of periodical management storage level and this water is used to other water like the upland irrigation water demand. As the result of application, it can secure extra available water except the water requirement. Minimum extra available water except flood is about $20,000,000\;m^3$ and crop irrigation water demand of 10yr frequency is about $2,033,000\;m^3$ in Seongju. The utilization of crop irrigation water can be possible. And extra available water is about $3,102,000\;m^3$ in 2000, $1,959,000\;m^3$ in 2001 except flood period and crop irrigation water demand of 10yr frequency is about $2,272,000\;m^3$ in Donghwa. It is judged that extra available water cannot be used to crop irrigation water during the dry season in Dongwha. Consequently, when management storage level is determined and more efficient use of water is gotten like this study, water utilization coefficient will be enhanced.

Estimation of Water Storage in Small Agricultural Reservoir Using Sentinel-2 Satellite Imagery (Sentinel-2 위성영상을 활용한 농업용 저수지 가용수량 추정)

  • Lee, Hee-Jin;Nam, Won-Ho;Yoon, Dong-Hyun;Jang, Min-Won;Hong, Eun-Mi;Kim, Taegon;Kim, Dae-Eui
    • Journal of The Korean Society of Agricultural Engineers
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    • v.62 no.6
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    • pp.1-9
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    • 2020
  • Reservoir storage and water level information is essential for accurate drought monitoring and prediction. In particular, the agricultural drought has increased the risk of agricultural water shortages due to regional bias in reservoirs and water supply facilities, which are major water supply facilities for agricultural water. Therefore, it is important to evaluate the available water capacity of the reservoir, and it is necessary to determine the water surface area and water capacity. Remote sensing provides images of temporal water storage and level variations, and a combination of both measurement techniques can indicate a change in water volume. In areas of ungauged water volume, satellite remote sensing image acts as a powerful tool to measure changes in surface water level. The purpose of this study is to estimate of reservoir storage and level variations using satellite remote sensing image combined with hydrological statistical data and the Normalized Difference Water Index (NDWI). Water surface areas were estimated using the Sentinel-2 satellite images in Seosan, Chungcheongnam-do from 2016 to 2018. The remote sensing-based reservoir storage estimation algorithm from this study is general and transferable to applications for lakes and reservoirs. The data set can be used for improving the representation of water resources management for incorporating lakes into weather forecasting models and climate models, and hydrologic processes.

Optimal Water Allocation at the Varying Storage Levels of the Sumjin Dam (섬진강댐 저수위변경에 따른 최적용수배분)

  • Kang, Min-Goo;Park, Seung-Woo
    • Proceedings of the Korean Society of Agricultural Engineers Conference
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    • 2003.10a
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    • pp.531-534
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    • 2003
  • A model using a nonlinear programming technique was applied for allocating the optimal water depending on storage level changes of the Sumjin dam. The objective function of optimization model was set up to maintain the storage at target level, to satisfy the water demand, and to maximize the hydropower production. In this way, the water allocation as to target level and instream flow was optimized and compared with historical operational data.

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Mathematical Model Simulations Assessing the Effects of Temperature on Residual Chlorine Concentrations in Water Storage Tanks (온도 변화에 따른 수돗물 저장 저수조 내 잔류염소에 관한 수학적 모형 시뮬레이션)

  • Noh, Yoorae;Park, Joonhong
    • Journal of Korean Society on Water Environment
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    • v.33 no.2
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    • pp.187-196
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    • 2017
  • To ensure hygienic safety of drinking water in a water storage tank, the concentrations of residual chlorine should be above a certain regulation level. In this study, we conducted model simulations to investigate the effects of temperature on residual chlorine in water storage tank conditions typically used in Seoul. For this, values of model parameters (decomposition rate constant, sorption coefficient, and evaporation mass transfer coefficient) were experimentally determined from laboratory experiments. The model simulations under continuous flow conditions showed that the residual chlorine concentrations were satisfied the water quality standard level (0.1 mg/L) at all the temperature conditions ($5^{\circ}C$, $10^{\circ}C$, $15^{\circ}C$, $20^{\circ}C$ and $25^{\circ}C$). Meanwhile, when the tanks had a no flow condition (i.e., no tap-water influent due to a sudden shut-down), the concentrations became lower than the regulatory level after certain periods. The findings from this modeling works simulating Seoul's water storage tanks suggested disappearance rate of residual chlorine could be reduced through the tanks design optimization with maintenance of low water temperature, minimization of air flow and volume, suppression of dispersion and the use of wall materials with low sorption ability.

Security of Upland Irrigation Water through the Effective Storage Management of Irrigation Dams (관개용 댐의 효율적 저수관리를 통한 밭 관개 용수 확보)

  • Lee Joo-Yong;Kim Sun-Joo;Kim Phil-Shik
    • Journal of The Korean Society of Agricultural Engineers
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    • v.48 no.2
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    • pp.13-23
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    • 2006
  • In Korea, upland irrigation generally depends on the ground water or natural rainfall since irrigation water supplied from dams is mainly used for paddy irrigation, and only limited amount of irrigation water is supplied to the upland area. For the stable security of upland irrigation water, storage level of irrigation dams was simulated by the periods. A year was divided into 4 periods considering the irrigation characteristics. Through the periodical management of storage level, water utilization efficiency in irrigation dams could be enhanced and it makes available to secure extra available water from existing dams without new development of water resources. Two study areas, Seongju and Donghwa dam, were selected for this study. Runoff from the watersheds was simulated by the modified tank model and the irrigation water to upland crops was calculated by the Penman-Monteith method. The analyzed results showed that relatively sufficient extra available water could be secured for the main upland crops in Seongju area. In case of Donghwa area, water supply to non-irrigated upland was possible in normal years but extra water was necessary in drought years such as 1998 and 2001.

Determination Scheme of Variable Restricted Water Level during Flood Period of Multipurpose Dam (다목적 댐의 홍수기중 가변제한수위 결정 방안)

  • Gwon, O-Ik;Sim, Myeong-Pil
    • Journal of Korea Water Resources Association
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    • v.30 no.6
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    • pp.709-720
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    • 1997
  • When flood control storage lacks for the reservoir operation of multipurpose dams during flood period, the additional flood control storage should be considered for the flexible use of limited storage capacity. Flood period is divided by meteorological characteristics in this study and the water levels for water demand and flood control are investigated for the divided flood period. Based on the investigations, we suggest the variable restricted water level(VRWL) from the considerations of water conservation and flood control which can determine dam operating water level during flood period. This paper presents an application of the methodology to determination of the VRWL during flood period at the Taechong Dam and the results are discussed.

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Development of Storage Management Method for Effective Operation of Small Dams (소규모 댐의 효과적 운영을 위한 저수관리 기법 개발)

  • Kim Phil-Shik;Kim Sun-Joo
    • Journal of The Korean Society of Agricultural Engineers
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    • v.48 no.2
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    • pp.27-35
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    • 2006
  • Large dams are managed with operation standard and flood forecasting systems, while small dams do not have management method generally. Shortage of water resources and natural disasters due to drought and flood raised public concerns for management of small dams. Most of small dams are irrigation dams, which need diversified water uses. However, the lack of systematic management of small dams have caused serious water wastage and increased natural disasters. Storage management method and system were developed to solve these problems in small dams. The system was applied to Seongju dam for effective management. The storage management method was established considering hydrology simulation and statistical analysis using the system. This method can bring additional available water, even in the same conditions of the water demand and the supply conditions of watershed. It can improve the flood control capacity and water utilization efficiency by' the flexible operation of storage space.

Particle Removal in a Rainwater Storage Tank, and Suggestions for Operation & Design (빗물저장조에서 입자의 제거특성 및 운전과 설계시 고려사항)

  • Mun, Jungsoo;Yoo, Hyoungkeun;Han, Mooyoung
    • Journal of Korean Society of Water and Wastewater
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    • v.21 no.1
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    • pp.131-138
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    • 2007
  • A rainwater utilization facility consists of its catchment area, treatment facility, storage tank, supply facility and pipes in general. The rainwater storage tank which occupies the largest area of the facility has been usually considered quantitatively for determining the storage capacity. Hence, there is little information on water quality improvement by sedimentation in a rainwater storage tank in operation. In this study, we measured the rainwater quality in a rainwater storage tank in operation during late spring and summer, and showed water quality improvement of turbidity removal of 25~46% by sedimentation in a rainwater storage tank under a fixed water level without inflow and outflow after runoff ceased. It is necessary to have a considerable distance between the inlet and outlet of the tank and, if possible, it is recommended that the design should allow for an effective water depth of over 3 m and supply rainwater near the water surface. The operation method which increases the retention time by stopping rainwater supply for insuring low turbidity is recommended when the turbidity of rainwater runoff is high. And also more efficient operation and maintenance of the rainwater utilization facility is expected through the tailored design and operation of the facility considering particle removal and behavior.

Reservoir Operation by Variable Restricted Water Level during Flood Period (홍수기중 가변제한수위에 의한 저수지 운영)

  • Sim, Myeong-Pil;Gwon, O-Ik;Lee, Hwan-Gi
    • Water for future
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    • v.28 no.6
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    • pp.217-228
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    • 1995
  • For optimal reservoir operation during flood period, a general and systematic policy is suggested to make balance of the conflicting purposes between water conservation and flood control. The purpose of this study is to decide the restricted water level of the reservoir during flood period specially to meet water demand in non-flood period. The optimal policy is derived by reallocation of storage capacity through the application of variable restricted water level(VRWL) and minimum required water level(MRWL) for shorter intervals. This study also suggests water level dconditions to secure conservation storage capacity at the end of the flood period estimated by reservoir operation study. This paper illustrates an application of the Daecheong Dam and Chungju Dam respectively during flood and the results are reviewed.

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Outlier Detection of Real-Time Reservoir Water Level Data Using Threshold Model and Artificial Neural Network Model (임계치 모형과 인공신경망 모형을 이용한 실시간 저수지 수위자료의 이상치 탐지)

  • Kim, Maga;Choi, Jin-Yong;Bang, Jehong;Lee, Jaeju
    • Journal of The Korean Society of Agricultural Engineers
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    • v.61 no.1
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    • pp.107-120
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    • 2019
  • Reservoir water level data identify the current water storage of the reservoir, and they are utilized as primary data for management and research of agricultural water. For the reservoir storage management, Korea Rural Community Corporation (KRC) installed water level stations at around 1,600 agricultural reservoirs and has been collecting the water level data every 10 minutes. However, various kinds of outliers due to noise and erroneous problems are frequently appearing because of environmental and physical causes. Therefore, it is necessary to detect outlier and improve the quality of reservoir water level data to utilize the water level data in purpose. This study was conducted to detect and classify outlier and normal data using two different models including the threshold model and the artificial neural network (ANN) model. The results were compared to evaluate the performance of the models. The threshold model identifies the outlier by setting the upper/lower bound of water level data and variation data and by setting bandwidth of water level data as a threshold of regarding erroneous water level. The ANN model was trained with prepared training dataset as normal data (T) and outlier (F), and the ANN model operated for identifying the outlier. The models are evaluated with reference data which were collected reservoir water level data in daily by KRC. The outlier detection performance of the threshold model was better than the ANN model, but ANN model showed better detection performance for not classifying normal data as outlier.