• Journal of Korea Water Resources Association
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• v.55 no.spc1
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• pp.1235-1249
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• 2022

This study applied the web crawling technique for extracting big data news on water quality accidents in the water supply system and presented the algorithm in a procedural way to obtain accurate water quality accident news. In addition, in the case of a large-scale water quality accident, development patterns such as accident recognition, accident spread, accident response, and accident resolution appear according to the occurrence of an accident. That is, the analysis of the development of water quality accidents through key keywords and sentiment analysis for each stage was carried out in detail based on case studies, and the meanings were analyzed and derived. The proposed methodology was applied to the larval accident period of Incheon Metropolitan City in 2020 and analyzed. As a result, in a situation where the disclosure of information that directly affects consumers, such as water quality accidents, is restricted, the tone of news articles and media reports about water quality accidents with long-term damage in the event of an accident and the degree of consumer pride clearly change over time. could check This suggests the need to prepare consumer-centered policies to increase consumer positivity, although rapid restoration of facilities is very important for the development of water quality accidents from the supplier's point of view.

• Journal of the Korean Society of Marine Environment & Safety
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• v.29 no.2
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• pp.106-117
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• 2023

The social impact of hazardous and noxious substances from marine industrial facilities was evaluated, and implications for the application of social impact assessment items and methods required in the process of setting technology-based effluent limitations were derived. The scope of the study was based on marine industrial facilities in Incheon Metropolitan City. The analysis results are as follows. First, the impact on companies and industries was evaluated as "great," but large companies had little impact on operating profit losses, bankruptcy possibilities, and employment losses, while small and medium-sized companies had a large impact. Second, the impact on the community and economy was evaluated as "less," but it is judged that careful policy intervention is needed because the impact of fishing producers, local tourism workers, and the region can be concentrated and large. Third, it is judged that items and methods for calculating social loss costs and social benefits can be usefully applied in the method of setting technology-based effluent limitations.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2021.04a
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• pp.31-31
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• 2021

본 연구는 서부 DMZ 및 접경지역에 속하고 인천광역시 강화군 강화읍에 위치한 퇴모·혈구산(466m) 을 대상으로 수행되었다. 강화군은 우리나라에서 4번째로 넓은 면적의 섬으로 알려져있고, 인천광역시 서북부 경기만의 한강 하구에 위치하고 있으며, 서쪽으로는 석모도 등 부속섬과 서해안, 북쪽으로는 북 한의 황해도 연백시, 동쪽으로는 김포시와 강화대교와 강화초지대교가 육지로 연결되어 있다. 2019년 4 월부터 2020년 10월까지 7회에 걸쳐 계절별로 식물상 조사를 진행하였다. 본 연구에서 확인된 해명산 일대에 분포하는 관속식물의 현황은 92과 257속 353속 4아종 41변종 4품종 총 402분류군으로 확인되었다. 양치식물은 6과 9속 10종 2변종 12분류군, 나자식물은 3과 4속 8종 총 8분류군, 쌍자엽식물은 74과 198속 268종 4아종 30변종 3품종 등 305분류군, 단자엽식물은 9과 46속 67종 9변종 1품종 등 77분류군으로 조사되었다. 또한, 식물구계학적 특정식물 IV급은 등 1분류군, III급은 물박달나무, 병아리꽃나무 등 6분 류군, II급은 갯장구채, 꼬리조팝나무 등 8분류군, I급은 야산고비, 일엽초 등 20분류군으로 파악되었 다. 희귀식물은 산림청 지정 희귀식물 취약종(VU)에 속하는 산들깨와 약관심종(LC)에 속하는 쥐방울덩굴 등 총 2분류군이 확인되었다. 특산식물은 백운산원추리 및 병꽃나무 등 4분류이 파악되었다. 침입외래식물은 애기수영 및 유럽점나무도물 등 39분류군으로 확인되었고, 생태계교란식은 가시박 등 4분류군으로 파악되었다. 주변의 신산저수지 및 고비고개에 큰 공사가 진행되고있어 침입외래식물의 개체수는 크게 증가할 것으로 예측었다. 따라서 장기적인 생태계 보전대책 수립이 필요하다고 판단된다.

• Journal of Korea Water Resources Association
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• v.57 no.3
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• pp.151-164
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• 2024

In water treatment plants supplying potable water, the management of chlorine concentration in water treatment processes involving pre-chlorination or intermediate chlorination requires process control. To address this, research has been conducted on water quality prediction techniques utilizing AI technology. This study developed an AI-based predictive model for automating the process control of chlorine disinfection, targeting the prediction of residual chlorine concentration downstream of sedimentation basins in water treatment processes. The AI-based model, which learns from past water quality observation data to predict future water quality, offers a simpler and more efficient approach compared to complex physicochemical and biological water quality models. The model was tested by predicting the residual chlorine concentration downstream of the sedimentation basins at Plant, using multiple regression models and AI-based models like Random Forest and LSTM, and the results were compared. For optimal prediction of residual chlorine concentration, the input-output structure of the AI model included the residual chlorine concentration upstream of the sedimentation basin, turbidity, pH, water temperature, electrical conductivity, inflow of raw water, alkalinity, NH₃, etc. as independent variables, and the desired residual chlorine concentration of the effluent from the sedimentation basin as the dependent variable. The independent variables were selected from observable data at the water treatment plant, which are influential on the residual chlorine concentration downstream of the sedimentation basin. The analysis showed that, for Plant, the model based on Random Forest had the lowest error compared to multiple regression models, neural network models, model trees, and other Random Forest models. The optimal predicted residual chlorine concentration downstream of the sedimentation basin presented in this study is expected to enable real-time control of chlorine dosing in previous treatment stages, thereby enhancing water treatment efficiency and reducing chemical costs.

• Korean Journal of Remote Sensing
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• v.39 no.5_4
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• pp.1097-1109
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• 2023

Urban is an area where small-scale changes to individual buildings occur frequently. An existing urban building database requires periodic updating to increase its usability. However, there are limitations in data collection for building changes over a wide urban. In this study, we check the possibility of detecting building changes and updating a building database by using satellite images that can capture a wide urban region by a single image. For this purpose, building areas in a satellite image are first extracted by projecting 3D coordinates of building corners available in a building database onto the image. Building areas are then divided into roof and facade areas. By comparing textures of the roof areas projected, building changes such as height change or building removal can be detected. New height values are estimated by adjusting building heights until projected roofs align to actual roofs observed in the image. If the projected image appeared in the image while no building is observed, it corresponds to a demolished building. By checking buildings in the original image whose roofs and facades areas are not projected, new buildings are identified. Based on these results, the building database is updated by the three categories of height update, building deletion, or new building creation. This method was tested with a KOMPSAT-3A image over Incheon Metropolitan City and Incheon building database available in public. Building change detection and building database update was carried out. Updated building corners were then projected to another KOMPSAT-3 image. It was confirmed that building areas projected by updated building information agreed with actual buildings in the image very well. Through this study, the possibility of semi-automatic building change detection and building database update based on single satellite image was confirmed. In the future, follow-up research is needed on technology to enhance computational automation of the proposed method.

• Journal of the Korean Institute of Landscape Architecture
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• v.37 no.1
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• pp.18-27
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• 2009

The purpose of this study is to understand the scale of temperature change following large-scale urban developments in paddy fields to present possible measures to preserve suburban area paddy fields and to lower the scale of temperature increase after developing paddy fields in urban areas. The study was conducted in Bupyeong and Bucheon of Incheon Metropolitan City. The satellite image($1989{\sim}2000$) before and after the development of old paddy fields were used to analyze the land surface temperature changes according to the land use types. Building coverage, green coverage, non-permeable pavement coverage, and floor area ratio(FAR) were selected as the factors that influence urban temperature changes and the temperature estimation model was constructed by using correlation and regression analyses. The before and after satellite images of Bupyeong and Bucheon were classified into forests, greens and plantations, paddy fields, unused lands, and urban areas. The results indicate that most of the paddy fields that existed in the center of Bupyeong and Bucheon were converted into unused lands which were undergoing construction to become new urban areas. The difference between the surface temperatures of May 17th, 1989 and May 7th, 2000 was analyzed to reveal that most land converted from paddy fields to unused lands or urban areas saw an increase in surface temperature. Han River was used as a comparison to analyze the average surface temperature changes($1989{\sim}2000$) in former paddy fields. The scale of temperature changes were: $+1.6697^{\circ}C$ in urban parks; $+2.5503^{\circ}C$ in residential zones; $+2.9479^{\circ}C$ on public lands, $+3.0385^{\circ}C$ in commercial zones, and $+3.1803^{\circ}C$ in educational zones. The correlation between building coverage, green coverage, non-permeable pavement coverage, or floor area ratio(FAR) and surface temperature increases was also analyzed. The green coverage to temperature increases, but building coverage, non-permeable pavement coverage, and floor area ratio(FAR) had no statistically significant temperature increases. The factors that influence urban temperature changes were set up as independent variables and the surface temperature changes as dependent variables to construct a surface temperature change model for the land use types of former paddy fields. As a result of regression analysis, green coverage was selected as the most significant independent variable. According to regression analysis, if farmland is converted into an urban area, a temperature increase of $+3.889^{\circ}C$ is anticipated with 0% green coverage. The temperature saw a decrease of $-0.43^{\circ}C$ with every 10% increase of green coverage.

• Journal of Bio-Environment Control
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• v.28 no.3
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• pp.243-254
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• 2019

With the recent accelerated policy-making and interests in new renewable energy, plans to develop and supply the new renewable energy have been devised across multiple regions in Korea. Solar energy, in particular, is being applied to small-scale power supply in provincial areas, as solar cells are used to convert solar energy into electric energy to produce electric power. Nonetheless, in the case of solar power plants, the need for a large stretch of land and considerable sum of financial support implies that the planning step should take into consideration the most suitable meteorological and geographical factors. In this study, the proxy variables of meteorological and geographical factors associated with solar energy were considered in analyzing the vulnerable areas regarding the photovoltaic power generation facility across the nation. GIS was used in the spatial analysis to develop a map for assessing the optimal location for photovoltaic power generation facility. The final vulnerability map developed in this study did not reveal any areas that exhibit vulnerability level 5 (very high) or 1 (very low). Jeollanam-do showed the largest value of vulnerability level 4 (high), while a large value of vulnerability level 3 (moderate) was shown by several administrative districts including Gwangju metropolitan city, Jeollabuk-do, Chungcheongbuk-do, and Gangwon-do. A value of vulnerability level 2 (low) was shown by the metropolitan cities including Daegu, Ulsan, and Incheon. When the 30 currently operating solar power plants were compared and reviewed, most were found to be in an area of vulnerability level 2 or 3, indicating that the locations were relatively suitable for solar energy. However, the limited data quantity for solar power plants, which is the limitation of this study, prevents the accuracy of the findings to be clearly established. Nevertheless, the significance of this study lies in that an attempt has been made to assess the vulnerability map for photovoltaic power generation facility targeting various regions across the nation, through the use of the GIS-based spatial analysis technique that takes into account the diverse meteorological and geographical factors. Furthermore, by presenting the data obtained for all regions across the nation, the findings of this study are likely to prove useful as the basic data in fields related to the photovoltaic power generation.

• Journal of dental hygiene science
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• v.10 no.1
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• pp.39-44
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• 2010

The purpose of this study is to cover dental hygienists who work for metropolitan dental hospitals or clinics in Seoul city, Incheon city and Gyeonggi province from January to April 2009 and profile their awareness of Long-term Senior Care Insurance System (hereinafter called 'LSCI (System)', so that it may provide material reference data to contribute to expanding and establishing oral health medical services in the framework of LSCI System. As a result, this study could come to the following conclusions: 1. It was found that the highest priority of dental hygienists' visiting oral hygienic services under LSCI System was focused on 'caring and preventive treatment', and their secondary priority was focused upon 'oral health education.' 2. In response to a question item about whether dental hygienists need dentist's prescription in written before performing their visiting oral hygienic services, it was found that 38.2% dental hygienists answered 'Yes (necessary)' and 61.8% answered 'No (unnecessary).' 3. In response to a question item about whether dental hygienists may open up long-term senior care center, it was found that absolute majority of dental hygienists (93.4%) answered 'No' and only 6.6% dental hygienists answered 'Yes.' The standardized professional education are thought to be needed to be developed aiming at the success in oral-hygiene service within a LSCI, by strengthening professionalism in dental hygienists.

• Economic and Environmental Geology
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• v.42 no.6
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• pp.599-608
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• 2009

This study was conducted to examine chemical characteristics and correlations among seepage water, subsurface waters and inland groundwater in and around a coastal underground LPG cavern using factor and cluster analyses. The study area is located in western coast of Incheon metropolitan city and is about 8 km off the coast. The LPG cavern storing propane and butane was built beneath artificially reclaimed island. Mean bathymetry is 8.5 m and maximum sea level change is 10 m. Water sampling was conducted in May and August, 2006 from 22 sampling points. Correlation analysis showed strong correlations among $Fe^{2+}$ and $Mn^{2+}$ (r=0.83~0.99), and Na and Cl (r=0.70~0.97), which indicated reductive dissolution of iron and manganese bearing minerals and seawater ingression effect, respectively. According to factor analysis, Factors 1 (May) and I (August) showed high loadings for parameters representing seawater ingression into the cavern and effect of submarine groundwater discharge, respectively while Factors 2 and IV showed high loadings for those representing oxidation condition (DO and ORP). Factors 4 and II have large positive loadings for $Fe^{2+}$ and $Mn^{2+}$. The increase of $Fe^{2+}$ and $Mn^{2+}$ was related to decomposition of organic matter and subsequent their dissolution under reduced condition. Cluster analysis showed the resulting 6 groups for May and 5 groups for August, which mainly included groups of inland groundwater, cavern seepage water, sea water and subsurface water in the LPG storage cavern. Subsurface water (Group 2 and Group III) around the underground storage cavern showed high EC and major ions contents, which represents the seawater effect. Cavern seepage water (Group 5 and Group II) showed a reduced condition (low DO and negative ORP) and higher levels of $Fe^{2+}$ and $Mn^{2+}$.

• Journal of Korean Home Economics Education Association
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• v.17 no.4 s.38
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• pp.157-173
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• 2005

The purpose of this study is to clarify the effects of Home Economics instruction using motivation(ARCS) strategy on the learning motivation and academic attitude toward the subject. To accomplish the purpose, teaching-learning plan using motivation(ARCS) strategy was developed and the subjects for this study were 155 End grade male students randomly chosen from four classes at a middle school in Incheon Metropolitan City. In the 5th period instruction about 'utilization of resources and environment' unit, 76 students of two classes as an experimental group received the Home Economics instruction using motivation(ARCS) strategy, while 79 students of two classes as a comparative group took lecture type instruction. The results of this study were as the follows 1. Home Economics instruction using motivation(ARCS) strategy was more effective than the lecture type instruction to improve learning motivation and positive change in academic attitude toward Home Economics subject. 2. Home Economics instruction using motivation(ARCS) strategy was effective to improving learning motivation regardless of their levels of students prior learning motivation and learning achievement. 3. Home Economics instruction using motivation(ARCS) strategy was effective to positive change in academic attitude toward Home Economics subject regardless of their levels of students Prior learning achievement and at the aspect of prior motivation to learn, the high level students were more effective than the low level students. 4. According to responses of students and teacher for Home Economics instruction using motivation(ARCS) strategy, it was effective to improving active participation and interest for Home Economics instruction.