• Journal of Korea Water Resources Association
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• v.55 no.7
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• pp.481-494
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• 2022

This study proposed a evaluation of the monthly vulnerable period for groundwater level management in the Miho stream watershed and a technique for evaluating the vulnerable period for future groundwater level management using LSTM. Observation data from groundwater level and precipitation observation stations in the Miho stream watershed were collected, LSTM was constructed, predicted values for precipitation and groundwater levels from 2020 to 2022 were calculated, and future groundwater management was evaluated when vulnerable. In order to evaluate the vulnerable period of groundwater level management, the correlation between groundwater level and precipitation was considered, and weights were calculated to consider changes caused by climate change. As a result of the evaluation, the Miho stream watershed showed high vulnerability to underground water management in February, March, and June, and especially near the Cheonan Susin observation well, the vulnerability index for groundwater level management is expected to deteriorate in the future. The results of this study are expected to contribute to the evaluation of the vulnerable period of groundwater level management and the derivation of preemptive countermeasures to the problem of groundwater resources in the basin by presenting future prediction techniques using LSTM.

• Journal of The Korean Society of Agricultural Engineers
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• v.57 no.2
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• pp.93-101
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• 2015

The purpose of this study is to evaluate the paddy irrigation efficiency using real-time water level monitoring data and intermittent irrigation model in Gimjae, Dong-Jin irrigation district. For this study, the real-time water level data in Gimjae main canal and other secondary canals were collected from 2012 to 2014 and converted to daily discharge using rating curve in each canal. From intermittent irrigation model in paddy, irrigation water requirement was estimated and irrigation efficiency was calculated. The average amount of irrigation water supply per unit irrigation area was 1,011 mm in Gimjae main canal for 12,749 ha irrigation area, 1,011 mm in the secondary canal of upper region and 1,470 mm in the secondary canal of lower region. The median irrigation loss was 43 % in Gimjae main canal, 25 % in secondary canal of upper region and 35 % in the secondary canal of lower region. The larger irrigation area is, the irrigation loss rates tend to decrease in secondary canals. Monthly median irrigation losses in upper region were 10 (June) - 40 % (September) and those in lower region were 25 (May) to 40 % (April, June, August, and September). The results of canal management loss can be available as the basic data for irrigation water management and estimating guideline of optimal irrigation water supply to improve agricultural water use efficiencies.

• Journal of the Korean Society of Food Culture
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• v.25 no.5
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• pp.625-632
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• 2010

The purpose of this study was to investigate the appropriate water content in high omega-3 fatty acid Saury nuggets for the desirable texture. The approach was made with adding water and onion at various levels (0~20%). The main ingredients of the nuggets included saury mince, mild pizza cheese, and hydrated textured soy protein concentrate. The formulated products were molded (dia. 4.5, thickness 1.5 cm, 20 g), lightly battered, and flash fried for 4 min. at $160^{\circ}C$, and then frozen until tested. The frozen nuggets were cooked at $165^{\circ}C$ and subjected to sensory evaluations, texture analysis, and water content analysis during warming (0~60 min), as well as assessments of acid, peroxide, and TBA values (during 10 days of storage at $24^{\circ}C$). In the sensory evaluation, preference for texture was highest in the nuggets made with a 15% onion level. The hardness of the nuggets increased with increasing onion level. Moisture content was highest in the nuggets made with a 20% water level. Changes in hardness during warming (0~60 min) of Saury nuggets containing various water and onion levels increased in nuggets made with the 20% water level. The acid, peroxide, and TBA values of the Saury nuggets made with herbs and oriental herbal extracts decreased up to 10 days of storage.

• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 1998.10a
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• pp.81-86
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• 1998

It is difficult to know how to restrict the amount of water supply in the drought season, because there is no objective standard rules. The purpose of the study is to present management rules to overcome the drought in the irrigation reservoir by forecasting the water level and restricting water supply according to the operation rule curve and the pattern of rotation-irrigation system. From the operation rule curve drawn up by analyzing the observed water level of reservoir, the water supply rules and rotation-irrigation patterns using WWW and GIS are suggested.

• Journal of The Korean Society of Agricultural Engineers
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• v.65 no.1
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• pp.15-26
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• 2023

This study aimed to evaluate the performance of water level classification from CCTV images in agricultural facilities such as reservoirs. Recently, the CCTV system, widely used for facility monitor or disaster detection, can automatically detect and identify people and objects from the images by developing new technologies such as a deep learning system. Accordingly, we applied the ResNet-50 deep learning system based on Convolutional Neural Network and analyzed the water level of the agricultural reservoir from CCTV images obtained from TOMS (Total Operation Management System) of the Korea Rural Community Corporation. As a result, the accuracy of water level detection was improved by excluding night and rainfall CCTV images and applying measures. For example, the error rate significantly decreased from 24.39 % to 1.43 % in the Bakseok reservoir. We believe that the utilization of CCTVs should be further improved when calculating the amount of water supply and establishing a supply plan according to the integrated water management policy.

• Journal of the Korean Geosynthetics Society
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• v.20 no.1
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• pp.45-55
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• 2021

In this study, the behavioral characteristics of the fill dam were analyzed during water level fluctuations through a numerical analysis model, and the reservoir safety management plan was prepared. The variation in plastic deviatoric strain, horizontal displacement, stress path, pore water pressure, etc., due to elevation of water level in the upper and lower sides of shell and core were analyzed using numerical analysis software, viz. GTS NX and LIQCA. The analysis results manifest that as the water level in the dam body increases rapidly, the pore water pressure and displacement also increase quickly. It was found that the elevation of the water level causes an increase in pore water pressure in the dam body as well as an increase in the saturation of the dam body and decreased effective stress. It is considered that this type of dam behavior can be the cause of the reduction of strength and stiffness of the dam. Also, it is assumed that the accumulated plastic deviatoric strain due to the deformation of the dam body caused by water infiltration causes an increase in displacement. Based on these experimental results and the results of analyses of the existing reservoir safety diagnosis techniques, an improvement plan for dam safety diagnosis and evaluation criteria was proposed, and these results can be used as primary data while revising dam safety diagnosis guidelines.

• Journal of Environmental Health Sciences
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• v.32 no.5 s.92
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• pp.424-430
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• 2006

Since 1985, the Gangwon Institute of Health and Environment(GIHE) and Ministry of Environment have collected rivers and streams water quality data in an ambient surface water monitering program. This study was prepared to propose an achievement of water quality of rivers subject to management by area according to an created level while establishing a water quality level applicable to the Gangwon area. As a result of evaluating correlativity on the BOD-based water quality data, BOD versus TP, and TP versus SS demonstrated significance at a confidence level of 95%. Evaluating correlativity on $10{\sim}90$ percentile values of analyzed data, a coefficient of determination, $r^{2}$ of BOD versus TP, and TP versus SS were 0.625, 0.286 respectively. Grading the results by evaluation method, the representative values of TP were 0.030 mg/l for I level, 0.100 mg/l for II level, 0.200 mg/l for Ill level, 0.300 mg/l for IV level, and 0.350 mg/l for V level, and those of SS were indicated 4.0 mg/l for I level, 15.0 mg/l for II level, 30.0 mg/l for III level, 45.0 mg/l for IV level, and 60.0 mg/l for V level. As for the limiting factor allowing the water quality standard exceeded, BOD posted 61% as the factor was found in 11 places, TP 28%, and SS 33%.

• Journal of The Korean Society of Agricultural Engineers
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• v.64 no.3
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• pp.9-24
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• 2022

Currently, a vast amount of hydrologic data is accumulated in real-time through automatic water level measuring instruments in agricultural reservoirs. At the same time, false and missing data points are also increasing. The applicability and reliability of quality control of hydrological data must be secured for efficient agricultural water management through calculation of water supply and disaster management. Considering the characteristics of irregularities in hydrological data caused by irrigation water usage and rainfall pattern, the Korea Rural Community Corporation is currently applying the Hampel filter as a water level data quality management method. This method uses window size as a key parameter, and if window size is large, distortion of data may occur and if window size is small, many outliers are not removed which reduces the reliability of the corrected data. Thus, selection of the optimal window size for individual reservoir is required. To ensure reliability, we compared and analyzed the RMSE (Root Mean Square Error) and NSE (Nash-Sutcliffe model efficiency coefficient) of the corrected data and the daily water level of the RIMS (Rural Infrastructure Management System) data, and the automatic outlier detection standards used by the Ministry of Environment. To select the optimal window size, we used the classification performance evaluation index of the error matrix and the rainfall data of the irrigation period, showing the optimal values at 3 h. The efficient reservoir automatic calibration technique can reduce manpower and time required for manual calibration, and is expected to improve the reliability of water level data and the value of water resources.

• Journal of Sensor Science and Technology
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• v.24 no.5
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• pp.331-341
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• 2015

In this paper, real-time water quality monitoring system of small water supply facilities based on IEEE 802.15.4e-2012 DSME MAC and IEEE 802.15.4g-2012 PHY standard is presented, which is capable to acquire for highly reliable water quality information in the wide outdoor areas for effective water quality management of small water quality facilities is distributed in the long distance and remote areas. Previously, Long distance transmission is difficult in most water quality sensor module is using RS-485 protocol. But with this system, even in harsh outdoor environment, it is possible to establish a radio wave sensor in a wide area network, and not only water quality sensor shall be connected to the wireless system, but also wireless integrated management system shall provide more effective way of management of the numerous small water supply facilities spread throughout the community, so that the administrator can remotely monitor the data of water turbidity, pH, residual chlorine in the water-supply, water-level, and generate alarm to cope with risks. The management of small water facilities is done by residents will be very effective to notice water quality information of small water facilities to residents.

• Magazine of the Korean Society of Agricultural Engineers
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• v.52 no.2
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• pp.87-96
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• 2010