• Title/Summary/Keyword: agricultural reservoirs

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A Study for Sedimentation in Reservoir -on district of Chin Young- (저수지의 퇴사에 관한 연구 -진양지구를 중심으로-)

  • 류시창;민병향
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.17 no.3
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    • pp.3840-3847
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    • 1975
  • With 30 excisting reservoirs in the Chin-Young area, the Sedimentation of the reservoirs has been calculated by comparing the present capacity with the original value, which revealed its reduced reservoir capacity. The reservoirs has a total drainage area of 3l4l ha, with a total capacity of 43.23 ha-m, and are short of water supply due to reduction of reservoir capacity, Annual sedimentation in the reservoir is relation to the drainage area, the mean of annual rainfall, and the slop of drainage area. The results of obtained from the investigation are summarized as follows: (1) A Sediment deposition rate is high, being about 7.03㎥/ha of drainage area, and resulting in the overage decrease of reservoir capacity by 16.1%. This high rate of deposition coule be mainly attributed to the serve denudation of forests due to disorderly cuttings of tree. (2) An average unit storageof 116mm as the time of initial construction is decreased to 95.6mm at present. This phenomena cause a greater storage of irrigation water, sinceit was assumed that original storage quantity itself was already in short. (3) A sediment deposition rate as a relation to the capacity of unit drainge area is as follow: Qs=1.27(C/A)0.6 and standard deviation is 185.5㎥/$\textrm{km}^2$/year. (4) A sediment deposition rate as a relation to the mean of annual rainfall is as follow: Qs=21.9p10.5 and the standard deviation is 364.8㎥/$\textrm{km}^2$/year. (5) A sediment deposition rate as a relation to the mean slop of drainage area is follow: Qs=39.6S0.75 and the standard deviation is 190.2㎥/$\textrm{km}^2$/year (6) Asediment deposition rate as a relation to the drainage area, mean of rainfall, mean of slope of drainage area is: Log Qs=0.197+0.108LogA-6.72LogP+2.20LogS and the standard deviation is 92.4㎥/$\textrm{km}^2$/year

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Physicochemical Characteristics of Dredged Soils in Reservoirs (저수지 준설대상 토양의 이화학적 특성)

  • 손재권;구자웅;최진규
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.39 no.3
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    • pp.96-107
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    • 1997
  • This study was carried out to examine the physicochemical characteristics of dredged soils in reservoirs. Surveys and analyses of basic materials were made on 241 of 2,328 reservoirs in Chonbuk province through 2 years from December 1994 to November 1996. The results of this study are summarized as follows : 1. Soils were classified as 15 types according to physical properties, and some soils contain comparatively high percentage of sand and gravel. Considering only soil textures, useful and economical soils as aggregate are approximately 25% in all, and the other soils are arable for farm planting. 2. The results of chemical analyses of soils showed on the average 5.9 in pH, 1.lmmhos/cm in ECe, 14.6me/l00g in CEC, 460.0ppm in T-N, 119.0ppm in T-P, 264.9ppm in K, 134.2ppm in Na, l,335.0ppm in Ca, 575.9ppm in Mg, 486.Sppm in Fe, 57.7ppm in Mn, 3.3ppm in Cu, 21.9ppm in Zn, 0.49ppm in As, 0.34ppm in Cd, 0.O3ppm in Hg, 1.7% in OM, respectively. 3. General chemical components, heavy metals, organic matter contents were analyzed as similar to tlie mean values of common soils, therefore it was considered to be no significant effects on crop growth in the chemical properties. 4. Accodingly, the physicochemical characteristics of soils ought to be analyzed accurately before dredging for effective using of dredged soils. And it will be more effective, if the dredged soils are used with proper balance among each content of components with considering to the physicochemical properties of common soils.

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Development of Hydrological Safety Evaluation Model for Agricultural Reservoir (농업용저수지의 수문학적 안전성 평가를 위한 계수화 모델 산정)

  • Park, Jong Seok;Rhee, Kyoung Hoon;Lee, Jae Ju;Shim, Choon Seok;Jin, Wan Gyu;Hu, Shin Young
    • Journal of Wetlands Research
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    • v.17 no.2
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    • pp.130-138
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    • 2015
  • According to the "Safety Evaluation Detailed Instructions (Dam)", a precise safety inspection is carried out for dams that exceed a certain scale. However, as the Hydrological Safety Evaluation from various evaluation standards is designed to evaluate the safety of existing dams considering PMF(Probable Maximum Flood), the evaluation is much less applicable for most agricultural reservoirs. Therefore, the Hydrological Safety Guidelines for agricultural reservoirs are expected to be re-evaluated considering the diverse risk factors with the coefficient model and AHP(Analytic Hierarchy Process) in this study. The coefficient model has been developed by selecting the hydrological safety superordinate subordinate evaluation factors to reflect diverse risk factors of agricultural reservoirs. This study indicated that in the short term, improving the safety check condition evaluation grade will be useful to improve the hydrological safety of the agricultural reservoir because it can be performed immediately.

Waterbody Detection for the Reservoirs in South Korea Using Swin Transformer and Sentinel-1 Images (Swin Transformer와 Sentinel-1 영상을 이용한 우리나라 저수지의 수체 탐지)

  • Soyeon Choi;Youjeong Youn;Jonggu Kang;Seoyeon Kim;Yemin Jeong;Yungyo Im;Youngmin Seo;Wanyub Kim;Minha Choi;Yangwon Lee
    • Korean Journal of Remote Sensing
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    • v.39 no.5_3
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    • pp.949-965
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    • 2023
  • In this study, we propose a method to monitor the surface area of agricultural reservoirs in South Korea using Sentinel-1 synthetic aperture radar images and the deep learning model, Swin Transformer. Utilizing the Google Earth Engine platform, datasets from 2017 to 2021 were constructed for seven agricultural reservoirs, categorized into 700 K-ton, 900 K-ton, and 1.5 M-ton capacities. For four of the reservoirs, a total of 1,283 images were used for model training through shuffling and 5-fold cross-validation techniques. Upon evaluation, the Swin Transformer Large model, configured with a window size of 12, demonstrated superior semantic segmentation performance, showing an average accuracy of 99.54% and a mean intersection over union (mIoU) of 95.15% for all folds. When the best-performing model was applied to the datasets of the remaining three reservoirsfor validation, it achieved an accuracy of over 99% and mIoU of over 94% for all reservoirs. These results indicate that the Swin Transformer model can effectively monitor the surface area of agricultural reservoirs in South Korea.

Seismic Behavior of Deterioration Reservoir Embankment Using Dynamic Centrifugal Model Tests (동적원심모형실험에 의한 재개발 저수지의 동적 거동특성)

  • Park, Sung-Yong;Chang, Suk-Hyun;Lim, Hyun-Taek;Kim, Jung-Meyon;Kim, Yong-Seong
    • Journal of The Korean Society of Agricultural Engineers
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    • v.58 no.3
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    • pp.91-100
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    • 2016
  • Recently, lots of damages have been lost because large magnitude earthquakes were occurred in the world. It has been increased the number of earthquakes in Korea. It needs improvement required for the repair of deteriorated reservoirs, reinforcement and raised reservoir coping with climate change and earthquake. This study aims to investigate the seismic behavior of deterioration reservoir levee using dynamic centrifugal model test. Therefore, two case tests in centrifugal field of 60 g, the result has provided the influence on the acceleration response, displacement, settlement and the pore water pressure of the reservoir with earthquakes. From the results larger displacement and acceleration response at the front side of reservoir embankment with poor-fabricated core in seismic condition may degrade overall stability. Reasonable reinforcement method of the raised reservoir embankment is required for ensuring long-term stability on earthquake.

Development of Optimum Management System for Irrigation Facilities (수리시설물 최적관리 시스템 개발)

  • 김선주;윤춘경;박성열;이광야
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.39 no.2
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    • pp.86-94
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    • 1997
  • For the efficient operation and maintenance( 0 & M), irrigation facilities were graded on the basis of their indices related to the 0 & M condition and the characteristics of reservoirs managed by Farmland Improvement Association(FIA) were examined. The results obtained are summarized as follows : 1. Characteristics of reservoirs include effective storage capacity, irrigation area, basin area, height and length of bank. Each characteristic is scored by the principle component analysis method. Variables which compose one index are categorized on the basis of their unit and each variable is scored so that the score of each unit sums to 100 for each index. 2. The Optimum MAnagement System of Irrigation Facilities(OMASIF) for Pyoungtaek area was developed by connecting general data of the irrigation facilities to image data. The database system is divided into three tables; LookUp Table, Facility Table, and Image Table. Image Table is again divided into five sub-tables, Image Table, Construction Cost Table, Acreage Table, 0 & M Cost Table, and Specification Table. 3. The evaluating criteria for the 0 & M of irrigation facilities can be established using the OMASIF. Irrigation facilities evaluated as poor state by the criteria should be repaired.

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Water Quality and Correlation Analysis Between Water Quality Parameters in the Hwaong Watershed (화옹호 유입하천의 수질현황 및 수질항목간의 상관관계)

  • Jung Kwang-Wook;Yoon Chun-Gyeong;Jang Jae-Ho;Jeon Ji-Hong
    • Journal of The Korean Society of Agricultural Engineers
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    • v.48 no.1
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    • pp.91-102
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    • 2006
  • Most projects of tideland reclamation with dike construction produce estuarine reservoirs, which may result in water quality problems due to blocking of natural flow of stream water to the sea. External loadings to the reservoirs through tributaries are major concerns in a concerned water quality management. The water quality of a reservoir is greatly influenced by watershed drainage, and accurate estimation of pollutant is indispensable for in the reservoir management. Concentrations of the microorganisms in stream water and conventional parameters were monitored in the 13 water quality monitoring sites located in a rural watershed of Hwaong estuarine reservoir. The indicator of microorganisms showed strong correlation between them, and regression equations with $R^2\geq0.70$ may be used fur estimating one from other microorganisms. The relationships between water quality parameters obtained in this study may be used to infer one unknown pollutant concentrations from the measured pollutant loadings. This methodology could be applied to other areas where the watershed characteristics are not significantly different from the study area. High concentrations of nitrogen was observed in water quality monitoring sites affected by urban land uses and numbers of livestock in wet day as well as dry day, due to the influent of diffuse sources.

Drought Index Calculation for Irrigation Reservoirs (관개용 저수지의 한발지수산정)

  • 김선주;이광야;신동원
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.37 no.6
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    • pp.103-111
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    • 1995
  • Drought index calculation based on the principal hydrological parameters, such as rainfall and reservoir storage, can estimate the duration and intensity of drought in irrigation reservoirs. It is difficult to build up a drought criteria since the conditions change variously by the reliability of rainfall. Because of the increasing water demands, it is urgent to prepare a generalized positive countermeasure to overcome drought. Water demands can at calculated but the estimation of drought characteristics, and the effective water management method can be established. The purpose of this study is to obtain a drought index and build up a data-base on the reservoir basins for establishing the fundamental hydrological data-base. This Index can observe the behavior of the WSI(Water Supply Index) and the component indices. The results summarized through this study are as follows. 1. WSI value of zero does not correspond to 100% in average due to the skewness in the probability distributions. 2. WSI is not a linear index; that is, given change in terms of water volume or percentage of average does not result in a proportional change on the WSI scale. 3. WSI is not always between the reservoir and the rainfall index in magnitude. This is only true if the component indices are of opposite sign. If they are of the same sign, the SWSI will often have a mangitude greater than either of the component indices. This is easily understood, because the concurrence of extreme values of the same sign for the two components is rarer than the occurrence of extreme values for either of the two components individually.

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A Study on Remote automatic water quality measurement recording systems (원격 자동 수질 측정 기록 시스템 연구)

  • Son, O-Seop;Jang, Jong-Wook
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2010.10a
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    • pp.447-450
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    • 2010
  • Today a relatively small reservoirs and reclamation insufficient freshwater Agricultural Water Quality to collect and analyze information online, Analyzed in real-time information delivery and database hwahameurosseo agricultural water quality management of reservoirs and freshwater lakes can be systematically. In this paper, a remote user to automatically measure water and measured to provide information collected from each sensor and integrate information connected to your wireless network and Integrated control measures as well as real-time monitoring of the operational point of observation from a web site in real-time information about the water to retrieve the user's computer and the user consists of a mobile communication terminal.

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Analysis of Applicability by Filter Technique for Water Level Correction of Agricultural Canal (농업용 수로부의 수위 보정을 위한 필터기법별 적용성 분석)

  • Joo, Donghyuk;Na, Ra;Kim, Ha-Young;Choi, Gyu-hoon;Yun, Hyung Chang;Park, Sang-Bin;Yoo, Seung-Hwan
    • Journal of The Korean Society of Agricultural Engineers
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    • v.65 no.5
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    • pp.51-68
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    • 2023
  • Due to the recent integrated water management policy, it is important to identify a reliable supply amount for establishing an agricultural water supply plan. In order to identify the amount of agricultural water supply, it is essential to calculate the discharge by measuring the water level and flow velocity of reservoirs and canal agricultural water, and quality control to ensure reliability must be preceded. Unlike agricultural reservoirs, canal agricultural water are more sensitive to the surrounding environment and reservoir irrigation methods (continuous, intermittent irrigation, etc.), making it difficult to estimate general water level patterns and at the same time a lot of erroneous data. The Korea Rural Community Corporation is applying a filter technique as a quality control method capable of processing large quantities and real-time processing of canal agricultural water level data, and applicability evaluation is needed. In this study, the types of errors generated by the automatic water level measurement system were first determined. In addition, by using the manual quality control data, a technique with high applicability is derived by comparing and analyzing data calibrated with Gaussian, Savitzky-Golay, Hampel, and Median filter techniques, RMSE, and NSE, and the optimal parameters of the technique range was derived. As a result, the applicability of the Median filter was evaluated the highest, and the optimal parameters were derived in the range of 120min to 240min. Through the results of this study, it is judged that it can be used for quantitative evaluation to establish an agricultural water supply plan.