• Journal of Korea Water Resources Association
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• v.56 no.7
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• pp.439-449
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• 2023

Recent advancements in data measuring technology have facilitated the installation of various sensors, such as pressure meters and flow meters, to effectively assess the real-time conditions of water distribution systems (WDSs). However, as cities expand extensively, the factors that impact the reliability of measurements have become increasingly diverse. In particular, demand data, one of the most significant hydraulic variable in WDS, is challenging to be measured directly and is prone to missing values, making the development of accurate data generation models more important. Therefore, this paper proposes an adversarially trained autoencoder (ATAE) model based on generative deep learning techniques to accurately estimate demand data in WDSs. The proposed model utilizes two neural networks: a generative network and a discriminative network. The generative network generates demand data using the information provided from the measured pressure data, while the discriminative network evaluates the generated demand outputs and provides feedback to the generator to learn the distinctive features of the data. To validate its performance, the ATAE model is applied to a real distribution system in Austin, Texas, USA. The study analyzes the impact of data uncertainty by calculating the accuracy of ATAE's prediction results for varying levels of uncertainty in the demand and the pressure time series data. Additionally, the model's performance is evaluated by comparing the results for different data collection periods (low, average, and high demand hours) to assess its ability to generate demand data based on water consumption levels.

• Korean Journal of Ecology and Environment
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• v.48 no.4
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• pp.238-252
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• 2015

The effect of weir construction (2009~2011) was investigated on algal bloom dynamics and surrounding conditions in the Youngsan River by analyzing the long-term (2001~2014) data provided by the Water Information System, Ministry of Environment. The data include chlorophyll a and water properties such as total suspended solids (TSS), ammonium ($NH_4{^+}$), nitrate ($NO_3{^-}$), orthophosphate ($PO{_4}^{3-}$), total nitrogen (TN), total phosphorus (TP) and DIN/DIP molar ratio collected from 12 stations along the channel of the river. Temporal variations were examined using data collected monthly from 2001~2014 and Box-Whisker plot was used to examine the difference in algal bloom dynamics between before (2006~2008) and after (2012~2014) the weir construction. Pearson's correlation analysis was also used to analyze the correlation of parameters. The results showed that TSS affecting water turbidity increased during the construction but decreased especially at the stations located in the upper and middle regions of the river after the construction. Ammonium concentrations increased whereas the concentrations of other nutrients decreased after the construction inducing an increase in N:P molar ratio. Chlorophyll a decreased suddenly during the construction but increased clearly after the construction at the stations where TSS decreased. This indicates that algal blooms can develop in the Youngsan River due to a decrease in turbidity that increases light penetration in water column although the concentrations of nutrients such as orthophosphate were reduced after the weir construction.

• Journal of Environmental Impact Assessment
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• v.25 no.6
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• pp.514-524
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• 2016

The Bio-Climatic impact Assessment System, BioCAS was utilized to produce analysis maps of daily maximum perceived temperature ($PT_{max}$) and excess mortality ($r_{EM}$) over the entire Seoul area on a heat wave event. The spatial resolution was 25 m and the Aug. 5, 2012 was the selected heat event date. The analyzed results were evaluated by comparing with observed health impact data - mortality and morbidity - during heat waves in 2004-2013 and 2006-2011,respectively. They were aggregated for 25 districts in Seoul. Spatial resolution of the comparison was equalized to district to match the lower data resolution of mortality and morbidity. Spatial maximum, minimum, average, and total of $PT_{max}$ and $r_{EM}$ were generated and correlated to the health impact data of mortality and morbidity. Correlation results show that the spatial averages of $PT_{max}$ and $r_{EM}$ were not able to explain the observed health impact. Instead, spatial minimum and maximum of $PT_{max}$ were correlated with mortality (r=0.53) and morbidity (r=0.42),respectively. Spatial maximum of $PT_{max}$, determined by building density, affected increasing morbidity at daytime by heat-related diseases such as sunstroke, whereas spatial minimum, determined by vegetation, affected decreasing mortality at nighttime by reducing heat stress. On the other hand, spatial maximum of $r_{EM}$ was correlated with morbidity (r=0.52) but not with mortality. It may have been affected by the limit of district-level irregularity such as difference in base-line heat vulnerability due to the age structure of the population. Areal distribution of the heat impact by local building and vegetation, such as spatial maximum and minimum, was more important than spatial mean. Such high resolution analyses are able to produce quantitative results in health impact and can also be used for economic analyses of localized urban development.

• Journal of the Korean earth science society
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• v.30 no.4
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• pp.427-443
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• 2009

Cretaceous intrusive and extrusive rocks in the southwestern part of the Yeongnam Massif are possibly the result of intensive magmatism which occurred in response to subduction of the Pacific plate beneath the northeast portion of the Eurasian plate. Geochemical and petrological study on the granitic rocks were carried out in order to constrain the petrogenesis of the granitic magma and to establish the paleotectonic environment of the area. Whole rock chemical data of the granitic rocks from the study area indicate that all the rocks have characteristics of calc-alkaline series in the subalkaline field. The overall geochemical features show systematic variations in each granitic body, but the source materials of each granitic body are thought to have been different in their chemical composition. The granodiorites distributed around Donggyori in the Bognae area (DGd) are different from other granitic rocks within the study area in the contents and differentiation trends of $Al_2O_3$ and MgO as well as in the contents of the trace elements such as Ba, Sr, Pb, Ni, Cr and Y DGd have geochemical features similar to slab-derived adakites such as high $Al_2O_3$, Sr contents and high Sr/Y, La/Yb ratios, but low Y and Yb contents. The major and trace element contents of the DGd fall well within the adakitic field, whereas other Cretaceous granites in the study area are plotted in the island arc ADR area in Sr/Y vs. Y diagram. On the ANK vs. A/CNK and tectonic discrimination diagrams, parental magma type of the granites corresponds to I-type and volcanic arc granite (VAG). Interpretations of the chemical characteristics of the granitic rocks favor their emplacement in a compressional tectonic regime at continental margin during the subduction of Pacific plate. The geochemical and tectonic features reveal that adakite-like signatures of the DGd were generated by the interaction of mantle peridotite and subducted slab-derived adakitic melts (caused by the thermal effect of ridge subduction), and which slightly modified by crustal contamination during emplacement.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.1
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• pp.317-327
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• 2013

Air pollution and artificial heat of urban areas have caused the urban heat island in which asphalt pavements absorb solar heat during the daytime and release the heat at night. Hence, in order to improve the environment of urban areas, it is necessary to examine cooling pavements that can reduce heat on road pavements in urban areas. The application of temperature insulation paints on road pavements require to reduce black brightness for visibility, to increase the reflection rate of infrared light and minimize the reflection rate of visible light. In the study, one part of Acrylic-emulsion was used as a main binder, and the changes in black brightness and the changes of addition ratio (0%, 15%, 30%) of hollow ceramics, as well as kinds of paints (carbon black pigment, mixed mineral pigment) were selected as the main experimental factors. The performance of temperature reduction of cooling pavements was analyzed through the reflection rate of spectrum, the reflection rate of solar heat, and the lamp test. Abrasion resistance, UV accelerated weather resistance, and sliding resistance were tested in real situations. In addition, the performance of heat reduction of testing pavements covered with high-reflection paints was analyzed by using an infrared camera. As the test results, when using mixed mineral paints and hollow ceramic of 30%, the reflection rate of spectrum was 43% in the area of near-infrared ray and 17% in the area of visible light at black brightness of $L^*$=42.89 and the reflection rate of solar heat was 27.5%. Total color difference was ${\Delta}E$=0.27 in the test of UV Accelerated Weather Resistance, indicating almost no changes in color. BPN was more than 53 when scattering #2 and #4 silica sand of more than $0.12kg/m^2$. In Taber's abrasion resistance test, abrasion loss was up to 86.4mg at 500 rotations. The performance of heat reduction was evaluated using an infrared camera at the test section applying high-reflection paints to asphalt pavements, in which the results showed that the temperature was reduced by $12.7^{\circ}C$ on CI-30-40 cooling pavements ($L^*$=38.76) and by $14.2^{\circ}C$ on CI-30-60 cooling pavements ($L^*$=57.12).

• Korean Journal of Environment and Ecology
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• v.32 no.6
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• pp.686-697
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• 2018

Due to the advance in remote sensing technology, it has become easier to more frequently obtain high resolution imagery to detect delicate changes in an extensive area, particularly including forest which is not readily sub-classified. Time-series analysis on high resolution images requires to collect extensive amount of ground truth data. In this study, the potential of land coverage mapas ground truth data was tested in classifying high-resolution imagery. The study site was Wonju-si at Gangwon-do, South Korea, having a mix of urban and natural areas. KOMPSAT-3A imagery taken on March 2015 and land coverage map published in 2017 were used as source data. Two pixel-based classification algorithms, Support Vector Machine (SVM) and Random Forest (RF), were selected for the analysis. Forest only classification was compared with that of the whole study area except wetland. Confusion matrixes from the classification presented that overall accuracies for both the targets were higher in RF algorithm than in SVM. While the overall accuracy in the forest only analysis by RF algorithm was higher by 18.3% than SVM, in the case of the whole region analysis, the difference was relatively smaller by 5.5%. For the SVM algorithm, adding the Majority analysis process indicated a marginal improvement of about 1% than the normal SVM analysis. It was found that the RF algorithm was more effective to identify the broad-leaved forest within the forest, but for the other classes the SVM algorithm was more effective. As the two pixel-based classification algorithms were tested here, it is expected that future classification will improve the overall accuracy and the reliability by introducing a time-series analysis and an object-based algorithm. It is considered that this approach will contribute to improving a large-scale land planning by providing an effective land classification method on higher spatial and temporal scales.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.5
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• pp.537-550
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• 2018

The development focus of a smart city has been changed gradually from a physical development aspect to a space development aspect. In a space development aspect, the major application technologies are Environment Technology (ET), Information Technology (IT) and Environment Information Technology. On the other hand, it is unclear if the space convergence in a smart city has been changed by the 3 technologies. Therefore, specific analysis was performed on the convergence change of smart city 4 spaces (District, Street, Building, Facility) using the 3 technologies. The convergence distribution ratio according to the periods (period 1 : 1972~1999, period 2 : 2000~2009, period 3 : 2010~2017) among the spaces, ET (Environment Technology), IT (Information Technology), ET+IT (Environment Information Technology) in a smart city were examined. The smart city was high in the order of 'District (53/43%) - Building (36/29.1%) - Street (22/17.9%) - Facility (12/10.0%)' in the number of applications and ratio of convergence (Technology Convergence) at Period 1 (1972~1999). The smart city was high in the order of 'District (223/32.4%) - Building (197/28.6%) - Street (195/28.3%) - Facility (74/14.8%)' in the number of applications and ratio of convergence (Technology Convergence) at Period 2 (2000~2009). At period 3, the District (467/33%) was also the highest. On the other hand, the street (384/27.4%) was higher than the building (361/25.8%) and facility (188/13.4%) in smart city space. Fourth, the smart city was high in the order of 'District - Building - Street - Facility' in the number of applications and ratio of convergence (Technology Convergence) at Periods 1 (1972~1999) and 2 (2000~2009). In contrast, the average of number was high in the order of 'Building - Street - District - Facility'. At period 3(2010~2017), the number of applications and the ratio of convergence was high 'District - Street - Building - Facility'; the average of number was the same as in period 1 and 2. As a result, smart city space has been changed by the development of macroscopic urban spaces in the initial stage. Since then, district space-centric development and building space are confused with devices/technologies and changed for citizen inflow. The building space has evolved continually and smart city space will be expected to revitalize the street space connecting completed buildings.

• Journal of the Korean Solar Energy Society
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• v.31 no.3
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• pp.8-16
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• 2011

The objective of this study is to analyze the characteristic of thermal environment in the summer season by conducting the field observation of temperature, relative humidity, and globe temperature in some parts of the city. Observation point was divided to a densely populated area, a residential area, a green area, a waterfront green area and a suburban district by the distribution ratio of green area. In this study, the correlation between maximum temperature and globe temperature, study on index for intensity of the tropical night and the temperature distribution characteristic of measurement points by the distribution ratio of green area were analyzed. The results of this study are as follows. (1) The difference between temperature and globe temperature by the distribution ratio of green area is confirmed. The difference of nighttime is more clearly that of daytime. (2) The average temperature and globe temperature of the densely populated area($29.2^{\circ}C$, $33.7^{\circ}C$) are higher than that of the waterfront green area($27.9^{\circ}C$, $32.0^{\circ}C$) by $1.3^{\circ}C$ and $1.7^{\circ}C$, respectively. (3) The number of tropical nights has different days of tropical nights by the distribution ratio of green area of 17days for the Daegu weather station, 14days for adensely populated area, 14days for a residential area, 6days for a green area, 2days for a waterfront green area, and 2days for a suburban district. (4) The results of the slope of trend line for the effects of the temperature on globe temperature change and the intercept for the size of the impact of radiant energy gained around by the analysis of the correlation between the maximum temperature and globe temperature can be utilized objective evaluation index of the each point's artificial effects.

• Korean Security Journal
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• no.58
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• pp.59-80
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• 2019

Recently, our company has entered the modern knowledge company, government policy and regulation has a big influence on people's lives. Also, unlike in the past, I am hoping for administrative intervention as a problem peculiar to the environment, such as environmental housing problems, urban transportation problems, misuse problems, etc. and corporate pending issues. In this study, through the 10th year of the Seoul Special Citizen Judicial Police Force, if the local autonomy is a special envoy, it will try to present the correctness in the organization luck. As a measure to secure the nature of administrative action, the method of investigation was through the study of the execution process of administrative penalty and its result based on the statistical data of Seoul City. Therefore, we will analyze the process and operation of the 10-year organizational change of the Seoul Metropolitan Government's police force and examine how the police force of the people's livelihoods, which is a special investigation organization, is expanding its duties in order to strengthen the enforcement power of the administration. Also, we will make future-oriented suggestions to encourage the readjustment of the current relevant laws, such as the Ministry of Patriots and Veterans Affairs, and to actively accommodate the expected changes of the special law police organization in charge of the enforcement of the police system.

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.351-351
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• 2011

최근 지구온난화와 더불어 이상기후가 대두됨에 따라 기상 예측이 더욱더 중요시되고 있다. 또한 이전부터 가뭄 및 홍수와 같은 기상현상으로 인한 피해 사례가 빈번하였으며, 이로 인하여 물 관리의 어려움을 겪고 있다. 한 예로 이상기후가 유난히 잦았던 2010년 여름철 경우 평년보다 발달한 북태평양고기압의 영향으로 여름철 92일 가운데 81일의 전국 평균기온이 평년보다 높게 나타났다. 또한 강우 일수가 평년에 비해 7.4일 많은 44.2일을 기록하였으며, 국지성 집중호우 사례가 빈번하였다. 또한 8월 9일 발생한 태풍 `뎬무'를 포함해서 한 달 동안 3개의 태풍이 한반도에 영향을 끼치는 이례적인 사례가 발생하였다. 따라서 본 연구는 이러한 기상재해에 따른 물 관리를 장기적으로 대비하고자 고해상도 전지구 모델 GME를 이용하여 2010년 여름철 강수 예측을 실시하였다. 강수 예측에 사용된 전지구 모델 GME는 기존의 카테시안 격자체계를 가진 모델과 달리 전구를 삼각형으로 구성된 20면체로 격자화 한 Icosahedral-hexagonal grid 격자체계로 구성되어 있어, 해상도 증가에 용이할 뿐만 아니라, HPC(High Performance Computing)환경에서 효율성이 높은 장점을 가지고 있다. 본 계절 예측을 수행함에 있어 발생하는 잡음을 최소화하고자, Time-lag 기법을 이용하여 5개의 앙상블 멤버로 구성되어있으며, 이를 비교 분석하기위해 Climatology를 이용하여 총 10개의 앙상블 멤버로 규준실험을 수행하였다. 선행 연구에 따르면 1개월 이상의 장기 적분의 경우 초기조건보다 외부 강제력이 더 중요한 역할을 한다고 연구된 바 있다. (Yang et al., 1998) 특히 계절 변동성의 경우 대기-해양간의 상호작용에 의해 지배되며, 이를 고려하여 본 연구는 해수면 온도를 경계 자료로 사용하여 계절 예측을 수행하였다. 앞서 말한 실험 계획을 바탕으로 하여 나온 결과를 통해 동아시아지역 및 한반도 도별 강수 및 온도 변수에 대해 순별 및 월별 카테고리맵 분석을 실시하여 한눈에 보기 쉽게 나타냈다. 또한 주요 도시별 강수량 및 온도의 시계열 분석을 실시하여 시간이 지남에 따라 나타나는 변동성을 확인하였다. 계절 예측 결과에서 온도의 경우 평년보다 높게 나타났으며, 이는 실제 온도 예측과도 유사한 패턴을 가졌다, 강수의 경우 7월부터 8월 중순까지 평년보다 다소 적게 모의되었으며, 8월 하순경 회복하는 것으로 예측하였다. 따라서 본 계절 강수 예측은 다소 역학 모델이 가지는 한계를 가지고 있으나, 실제와 비교하여 어느 정도의 경향성이나 패턴에 있어 유사성을 보임을 확인하였으며, 이를 장기적 차원의 물관리를 함에 있어 참고 및 활용 가능할 것으로 예상한다.