• Land and Housing Review
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• v.13 no.1
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• pp.131-140
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• 2022

A smart window is a new building material that can realize energy savings in a building. Smart windows can freely adjust Visible Light Transmittance (VLT) and solar gain coefficient (g-value) according to the situation. Smart windows include such technologies as Electrochromic (EC), Suspended Particle Device (SPD), and Polymer Dispersed Liquid Crystal (PDLC). Recent research on building energy savings through the VLT and g-value control functions of smart windows is being actively conducted and meaningful results are being drawn. However, since most of the research is focused on energy savings, research on the indoor environment is somewhat lacking. A building is a space where people live and the comfort of life should be prioritized before energy savings. Therefore, in this study, analysis on the daylight performance of an office space was carried out. Through green building standards such as LEED, BREEAM, CASBEE, and G-SEED, the daylight performance was reviewed according to VLT value changes of the smart window. In addition, a study was conducted on the VLT range of the electrochromic façade that can maintain a comfortable indoor environment. The smart window used electrochromic control with a wide range of VLT. The study showed that the minimum VLT of a smart window that can satisfy G-SEED is 25% or more. In addition, it was found that the VLT change of the electrochromic smart window did not significantly affect the uniformity of the room. When the LEED standard was applied, the minimum VLT value of the electrochromic smart window that must be maintained according to each orientation of the building was derived.

• Journal of Korea Water Resources Association
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• v.55 no.10
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• pp.749-759
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• 2022

The paradigm of water cycle management in the watershed is changing due to the increase in abnormal climate phenomena caused by climate change and the increase in impervious area due to urbanization. Research is continuously underway based on Low Impact Development technology that can suppress water cycle distortion. In this study, factors that can reflect water cycle distortion were selected before applying LID, and the PSR index for each 148 watershed was calculated for the the Nakdonggang River basin. As of 1975, the PSR index is calculated by calculating the pressure index P, which represents the rate of change in impervious surface area to 2019, the phenomenon index S, which represents the rate of change in water cycle for each subwatershed, and the Low Impact Development area countermeasure index R. The lower PSR index value, the higher the priority management watershed, and the water cycle recovery priority management watershed was calculated in the order of 1, 2, 87, 90, 91, and 147. It is expected that the efficient application of low-impact development factors in accordance with the order of priority management of water cycle by subwatershed in the large area will contribute to the recovery of water cycle distortion.

• Journal of Korea Water Resources Association
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• v.54 no.spc1
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• pp.1167-1181
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• 2021

In relation to the algae bloom, four types of blue-green algae that emit toxic substances are designated and managed as harmful Cyanobacteria, and prediction information using a physical model is being also published. However, as algae are living organisms, it is difficult to predict according to physical dynamics, and not easy to consider the effects of numerous factors such as weather, hydraulic, hydrology, and water quality. Therefore, a lot of researches on algal bloom prediction using machine learning have been recently conducted. In this study, the characteristic importance of water quality factors affecting the occurrence of Cyanobacteria harmful algal blooms (CyanoHABs) were analyzed using the random forest (RF) model for Bohyeonsan Dam and Yeongcheon Dam located in Yeongcheon-si, Gyeongsangbuk-do and also predicted the occurrence of harmful blue-green algae using the machine learning and deep learning models and evaluated their accuracy. The water temperature and total nitrogen (T-N) were found to be high in common, and the occurrence prediction of CyanoHABs using artificial neural network (ANN) also predicted the actual values closely, confirming that it can be used for the reservoirs that require the prediction of harmful cyanobacteria for algal management in the future.

• The Journal of Engineering Geology
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• v.32 no.4
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• pp.513-523
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• 2022

The purpose of settlement management when treating soft ground through preloading is to determine the amount of settlement, check the progression of consolidation, and compare the settlement with the target settlement amount. Of the various methods available for predicting settlement based on measured data, the hyperbolic method was used in this study to analyze the settlement behavior of soft ground considering the creep behavior resulting from staged fill. Two versions of the method were used: the existing hyperbolic method, and a modified hyperbolic method. The existing hyperbolic method predicts the settlement amount using data for the final settlement section only during soft ground treatment through staged fill, for which the coefficient of consolidation behavior (k) was computed to give a predicted final consolidation settlement amount of S_r = 1.05 cm. In comparison, using the modified method, a predicted final consolidation settlement of S_r = 0.50 cm is obtained by considering the data for each staged fill section. These results show that the modified method considering data from the staged settlement was more accurate than the existing method considering data only from the final settlement section. This modification to the hyperbolic method therefore represents an improvement in performance over the existing method.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.128-128
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• 2023

우리나라 농업용 저수지는 저수량만을 참조하여 운영한다. 이러한 현실을 개선하기 위해, 유입량을 고정시키고 저수지 물수지 분석에 의해 방류량을 생산하는 체계를 구축했다. 2018년부터 2021년까지 총저수량 142만m³의 옥서저수지, 106만m³의 홍동저수지에 적용하여 일별로 저수량을 모의하여 관측값과 비교하고, 저수지 물수지 분석에 의해 실시간 계측되는 수로유량의 신뢰도를 평가하였다. 장기간의 계측 자료를 보유하고 있는 인근 다목적댐인 보령댐의 운영자료(2018~2021)를 이용하여 유입량 모형의 매개변수(α=3.500)를 결정하고, 저수지 유입량을 모의한 결과 NSE 0.854, R² 0.858의 높은 신뢰도를 얻었다. 유입량을 고정시키고, 저수지 물수지 분석에 의해 방류량을 계산한 결과 옥서저수지는 일최대 방류량 5.7m³/s, 일평균 0.2m³/s, 홍동저수지는 각각 5.9m³/s, 0.2m³/s로 나타났다. 총방류량을 측정 수로유량과 여수로 방류량으로 분할하고, 저수지 물수지 분석에 의해 수로유량의 신뢰도를 평가한 결과 옥서저수지는 R²가 0.771, 일평균 저수위 오차 88.6cm, 일평균 저수량 오차 9.4%, 홍동저수지는 R²가 0.086, 일평균 저수위 오차 69.9cm, 일평균 저수량 오차 18.0%로 오차가 크게 나타났다. 저수지 수위가 만수위(FWL) 이하일 때는 여수로 방류량을 0으로 하여 총방류량을 여수로 방류량과 수로유량으로 분할한 후, 물수지 분석에 의해 신뢰도를 평가한 결과, 옥서저수지의 경우 R²는 0.941, 일평균 저수위 오차 2.6cm, 일평균 저수량 오차 0.35%를 나타내, 신뢰도가 크게 증가했다. 그러나 홍동저수지의 경우는 R²는 0.521, 일평균 저수위 오차 2.2cm, 일평균 저수량 오차1.02%를 나타냈지만, 낮은 신뢰도를 보였다. 측정 수로유량의 신뢰도는 두 저수지 모두 낮게 나타났다. 수로유량 조정을 통해 옥서저수지의 신뢰도는 향상 시킬 수 있었지만 홍동저수지의 경우는 향상 시킬 수 없었다. 이는 여수토 비상수문조작 실적과 저수지 사통 수문 조작 실적이 없어, 그 결과를 정확히 반영할 수 없었기 때문인 것으로 결론을 내렸다.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.60-60
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• 2023

태풍 힌남노에 경주에 위치한 총저수량 184만m³, 유역면적 22km²인 왕신저수지는 303m의 제체가 2시간여 동안 전면 월류하는 초유의 사태를 겪었다. 그때 다행히 저수지 수위는 10분 단위로 기록됐다. 이 자료를 이용하여 제체 월류현상을 평가하기 위해 저수지 운영의 기본자료인 유입량, 저수량, 방류량 등을 10분 단위로 생산코자 했다. 방법은 인근에 위치하고 운영자료가 있는 총저수량 260만m³, 유역면적 3.7km²인 감포댐에 대해 유입량 모의방법을 검증하고, 왕신저수지에 그대로 적용하여 유입량을 모의하고, 물수지에 의해 방류량을 계산하는 것으로 했다. 모의결과는 저수량 오차로 신뢰도를 확인했다. 여기서 저수지 유입량은 ONE 모형을 이용하여 10분 단위로 생산했다. 2022년 9월 5일부터 6일까지 10분 단위로 모의한 결과는 다음과 같다. 첫째, 감포댐 유역은 강우량은 10분 최대 32.3mm, 총강우량 196.0mm였고, 유입량은 10분 최대 80.1m³/s, 총유입량 59만m³로 모의됐고, 신뢰도는 RMSE 2.120mm, NSE 0.947, R²는 0.949로 매우 높게 나타났다. 그리고 저수량 모의 신뢰도도 RMSE 0.153m, NSE 0.993, R²는 0.997로 높았다. 둘째, 왕신저수지 유역은 강우량은 유역내에 위치한 환경부 관리의 화산리 관측소에서 10분 최대 21.0mm, 총강우량은 10시간 동안 422.0mm였고, 유입량은 10분 최대 716.5m³/s, 총유입량 904만m³로 모의됐고, 유출률은 95.7%로 강우량 거의가 유입되는 것으로 나타났다. 셋째, 왕신 저수지의 방류량은 10분 최대 610.8m³/s, 총방류량 848만m³로 계산됐고, 총유입량의 93.8%에 상당한 것으로 나타났다. 그리고 저수지 물수지에 의해 10분 단위 모의 저수위의 신뢰도는 RMSE 0.117m, NSE 0.994, R²는 0.999로 매우 높게 나타났다. 넷째, 왕신저수지의 제체고 EL.59.20m를 월류한 시간은 9월6일 5시50분부터 8시까지 2시간10분 동안였으며, 관측 저수위는 EL59.24m~EL.60.28m, 모의 저수위는 EL.59.31m~EL.60.29m로 나타났다. 월류되는 동안 총유입량은 544만m³, 총방류량은 527만m³로 나타나, 유입량의 96.8%가 월류되는 것으로 계산돼 저수지의 저류효과는 거의 없는 것으로 나타났다. 이때 유입량은 전기간의 60.2%, 방류량은 62.1%에 상당했다. 다섯째, 힌남노에 따른 왕신저수지의 홍수조절효과는 첨두유입량을 105.7m³/s 저감시켰고, 홍수량을 56만m³을 저류시킨 것으로 분석됐다.

• Journal of Korea Water Resources Association
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• v.55 no.spc1
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• pp.1283-1293
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• 2022

The purpose of this study is to predict residual chlorine in order to maintain stable residual chlorine concentration in sedimentation basin by using artificial intelligence algorithms in water treatment process employing pre-chlorination. Available water quantity and quality data are collected and analyzed statistically to apply into mathematical multiple regression and artificial intelligence models including multi-layer perceptron neural network, random forest, long short term memory (LSTM) algorithms. Water temperature, turbidity, pH, conductivity, flow rate, alkalinity and pre-chlorination dosage data are used as the input parameters to develop prediction models. As results, it is presented that the random forest algorithm shows the most moderate prediction result among four cases, which are long short term memory, multi-layer perceptron, multiple regression including random forest. Especially, it is result that the multiple regression model can not represent the residual chlorine with the input parameters which varies independently with seasonal change, numerical scale and dimension difference between quantity and quality. For this reason, random forest model is more appropriate for predict water qualities than other algorithms, which is classified into decision tree type algorithm. Also, it is expected that real time prediction by artificial intelligence models can play role of the stable operation of residual chlorine in water treatment plant including pre-chlorination process.

• Journal of the Korean Geotechnical Society
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• v.23 no.4
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• pp.161-167
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• 2007

In this study, ultimate lateral load capacity of piles is analyzed with consideration of lateral stress effect. Based on results obtained in this study, a method for the estimation of ultimate lateral load capacity is proposed. This makes it possible to more realistically estimate the ultimate lateral load capacity under various stress states caused by in-situ soil condition and pile installation process. Calibration chamber test results with various soil conditions were used in the analysis. From the test results, it was found that effect of the lateral stress was greater than that of the vertical stress on the ultimate lateral load capacity of piles. It was also found that, as the relative density increases, displacements required to reach the ultimate state increases, showing relative displacements of around 14% and 18-25% for $D_R$ : 55% and 86%, respectively. Based on results obtained in this study, a methodology for the estimation of ultimate lateral load capacity of piles using correction factors was proposed. Results from proposed method matched well measured results.

• Journal of the Korean Geotechnical Society
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• v.23 no.8
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• pp.35-45
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• 2007

It is known that the response of piles is affected by the shape of pile as well as soil conditions. In order to investigate the characteristics of the axial responses and bearing capacities of non-displacement tapered and cylindrical piles in sands, 12 model pile load tests using a calibration chamber were conducted on model tapered and cylindrical piles, which were specially manufactured to measure the base and shaft load capacities independently. Results of the model tests showed that the shaft load of tapered piles continuously increased with pile settlement, whereas the shaft load of cylindrical piles reached ultimate values at a settlement equal to 4% of pile diameter. Therefore, taper piles have greater shaft loads than cylindrical one at the same settlement. It is also observed that the total load capacity of tapered piles is lower than cylindrical piles for dense sand but is greater than that of cylindrical piles for medium sand. The ultimate unit base resistance of tapered piles was greater than that of cylindrical piles for lateral earth pressure ratio greater than 0.4, and the shaft resistance was greater than that of cylindrical piles irrespective of lateral earth pressure ratio.

• Journal of the Korean Geotechnical Society
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• v.23 no.12
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• pp.25-32
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• 2007

This study is to evaluate the effect of chemical attack on durability and deterioration of lining concrete in tunnel. Surface examination, nondestructive inspection, uniaxial compressive strength test, carbonation test, chloride diffusion test, micro-structural analysis were performed to analyze the deterioration of lining concrete in tunnel constructed 70 years ago. From surface examination results, the tunnel had been repaired and reinforced in several times. It has many cracks, water-leakage, efflorescence and exploitation. Compressive strengths obtained from nondestructive inspection and uniaxial compressive strength test have measured $17.5{\sim}34.7MPa$, and $12.8{\sim}40.3MPa$, respectively. Carbonation depth specimen cored from concrete lining has ranged from 3mm to 27mm. From chloride diffusion test, most specimens have low permeability. And the XRD analysis was able to detect ettringite and thaumasite, which were confirmed by SEM and EDS results to be the causes for the deterioration of lining concrete.