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Identifying sources of heavy metal contamination in stream sediments using machine learning classifiers (기계학습 분류모델을 이용한 하천퇴적물의 중금속 오염원 식별)

  • Min Jeong Ban;Sangwook Shin;Dong Hoon Lee;Jeong-Gyu Kim;Hosik Lee;Young Kim;Jeong-Hun Park;ShunHwa Lee;Seon-Young Kim;Joo-Hyon Kang
    • Journal of Wetlands Research
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    • v.25 no.4
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    • pp.306-314
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    • 2023
  • Stream sediments are an important component of water quality management because they are receptors of various pollutants such as heavy metals and organic matters emitted from upland sources and can be secondary pollution sources, adversely affecting water environment. To effectively manage the stream sediments, identification of primary sources of sediment contamination and source-associated control strategies will be required. We evaluated the performance of machine learning models in identifying primary sources of sediment contamination based on the physico-chemical properties of stream sediments. A total of 356 stream sediment data sets of 18 quality parameters including 10 heavy metal species(Cd, Cu, Pb, Ni, As, Zn, Cr, Hg, Li, and Al), 3 soil parameters(clay, silt, and sand fractions), and 5 water quality parameters(water content, loss on ignition, total organic carbon, total nitrogen, and total phosphorous) were collected near abandoned metal mines and industrial complexes across the four major river basins in Korea. Two machine learning algorithms, linear discriminant analysis (LDA) and support vector machine (SVM) classifiers were used to classify the sediments into four cases of different combinations of the sampling period and locations (i.e., mine in dry season, mine in wet season, industrial complex in dry season, and industrial complex in wet season). Both models showed good performance in the classification, with SVM outperformed LDA; the accuracy values of LDA and SVM were 79.5% and 88.1%, respectively. An SVM ensemble model was used for multi-label classification of the multiple contamination sources inlcuding landuses in the upland areas within 1 km radius from the sampling sites. The results showed that the multi-label classifier was comparable performance with sinlgle-label SVM in classifying mines and industrial complexes, but was less accurate in classifying dominant land uses (50~60%). The poor performance of the multi-label SVM is likely due to the overfitting caused by small data sets compared to the complexity of the model. A larger data set might increase the performance of the machine learning models in identifying contamination sources.

Proposed Sustainability Risk Framework through the Analysis of Advanced Donor Countries' International Development Cases (선진 공여국의 국제개발 사례 분석 기반 지속가능성 리스크 프레임워크 제안)

  • Lee, Kyung-Tae;Kim, Ju-Hyung
    • Korean Journal of Construction Engineering and Management
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    • v.24 no.6
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    • pp.12-23
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    • 2023
  • The goal of international development projects is to assist sustainable development in recipient countries through foreign aid from donor countries. However, despite the need for both countries to negotiate and work together from the initial stages to maintain sustainability after the project, clear guidelines or standards have not been established. Additionally, despite the need for donor countries, which are relatively advanced, to understand the situation of recipient countries, many projects are donor-centric and fail to prioritize the value of sustainability. Therefore, this study extracted economic, social, and environmental risks that threaten sustainability through literature review and proposed a sustainability framework based on these criteria. To validate framework, actual international development cases conducted by advanced donor countries such as Australia, the United States, and Japan, in collaboration with South Korea, were analyzed by applying content analysis with the reports, which covers the overall contents from the planning stage to the operation stage. Analysis of sustainability perspectives focused on economy, society and the environment, advanced donor countries emphasized (1) the importance of pre-assessment, (2) the need for coordination with the local population and communities despite the existence of donor-specific values, and (3) addressing economic considerations such as pre-operational and maintenance costs, social communication with the local population, and environmental considerations starting from the initial stages of construction regarding the treatment of pollutants as values to be improved. Compared to other advanced donor countries, the Republic of Korea should also focus on consultation with local residents to achieve social integration, and improve sustainability by deployment the managers in local sites for better negotiation.The proposed framework in this study will serve as a tool to enhance communication among the countries and the locals, with the expectation of increasing project efficiency and sustainability.

Lithium Distribution in Thermal Groundwater: A Study on Li Geochemistry in South Korean Deep Groundwater Environment (온천수 내 리튬 분포: 국내 심부 지하수환경의 리튬 지화학 연구)

  • Hyunsoo Seo;Jeong-Hwan Lee;SunJu Park;Junseop Oh;Jaehoon Choi;Jong-Tae Lee;Seong-Taek Yun
    • Economic and Environmental Geology
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    • v.56 no.6
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    • pp.729-744
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    • 2023
  • The value of lithium has significantly increased due to the rising demand for electric cars and batteries. Lithium is primarily found in pegmatites, hydrothermally altered tuffaceous clays, and continental brines. Globally, groundwater-fed salt lakes and oil field brines are attracting attention as major sources of lithium in continental brines, accounting for about 70% of global lithium production. Recently, deep groundwater, especially geothermal water, is also studied for a potential source of lithium. Lithium concentrations in deep groundwater can increase through substantial water-rock reaction and mixing with brines. For the exploration of lithim in deep groundwater, it is important to understand its origin and behavior. Therefore, based on a nationwide preliminary study on the hydrogeochemical characteristics and evolution of thermal groundwater in South Korea, this study aims to investigate the distribution of lithium in the deep groundwater environment and understand the geochemical factors that affect its concentration. A total of 555 thermal groundwater samples were classified into five hydrochemical types showing distinct hydrogeochemical evolution. To investigate the enrichment mechanism, samples (n = 56) with lithium concentrations exceeding the 90th percentile (0.94 mg/L) were studied in detail. Lithium concentrations varied depending upon the type, with Na(Ca)-Cl type being the highest, followed by Ca(Na)-SO4 type and low-pH Ca(Na)-HCO3 type. In the Ca(Na)-Cl type, lithium enrichment is due to reverse cation exchange due to seawater intrusion. The enrichment of dissolved lithium in the Ca(Na)-SO4 type groundwater occurring in Cretaceous volcanic sedimentary basins is related to the occurrence of hydrothermally altered clay minerals and volcanic activities, while enriched lithium in the low-pH Ca(Na)-HCO3 type groundwater is due to enhanced weathering of basement rocks by ascending deep CO2. This reconnaissance geochemical study provides valuable insights into hydrogeochemical evolution and economic lithium exploration in deep geologic environments.

Convergence of Remote Sensing and Digital Geospatial Information for Monitoring Unmeasured Reservoirs (미계측 저수지 수체 모니터링을 위한 원격탐사 및 디지털 공간정보 융합)

  • Hee-Jin Lee;Chanyang Sur;Jeongho Cho;Won-Ho Nam
    • Korean Journal of Remote Sensing
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    • v.39 no.5_4
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    • pp.1135-1144
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    • 2023
  • Many agricultural reservoirs in South Korea, constructed before 1970, have become aging facilities. The majority of small-scale reservoirs lack measurement systems to ascertain basic specifications and water levels, classifying them as unmeasured reservoirs. Furthermore, continuous sedimentation within the reservoirs and industrial development-induced water quality deterioration lead to reduced water supply capacity and changes in reservoir morphology. This study utilized Light Detection And Ranging (LiDAR) sensors, which provide elevation information and allow for the characterization of surface features, to construct high-resolution Digital Surface Model (DSM) and Digital Elevation Model (DEM) data of reservoir facilities. Additionally, bathymetric measurements based on multibeam echosounders were conducted to propose an updated approach for determining reservoir capacity. Drone-based LiDAR was employed to generate DSM and DEM data with a spatial resolution of 50 cm, enabling the display of elevations of hydraulic structures, such as embankments, spillways, and intake channels. Furthermore, using drone-based hyperspectral imagery, Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI) were calculated to detect water bodies and verify differences from existing reservoir boundaries. The constructed high-resolution DEM data were integrated with bathymetric measurements to create underwater contour maps, which were used to generate a Triangulated Irregular Network (TIN). The TIN was utilized to calculate the inundation area and volume of the reservoir, yielding results highly consistent with basic specifications. Considering areas that were not surveyed due to underwater vegetation, it is anticipated that this data will be valuable for future updates of reservoir capacity information.

'Inventing' Religion and Pseudo-religion in the 2022 National Curriculum on Religions (2022년 종교 교육과정 - 종교인 만들기와 '유사종교' 발명 교육 -)

  • Ko Byoung-chul
    • Journal of the Daesoon Academy of Sciences
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    • v.46
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    • pp.1-32
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    • 2023
  • The purpose of this article is to critically reflect on the 2022 national curriculum on religions. The perspective of this reflection is that since the religious curriculum is meant to be a national curriculum, it should be applicable to all high school students, be shareable, and function as a place for meta-reflection regarding the proper use of the category of religion. For this purpose, I reviewed the form and content of the 2022 curriculum on religions in Section 2. The form of the 2022 curriculum on religions looks similar to the previously utilized curriculum. However, the main change is that the subject of religions was arbitrarily placed into the category of 'subjects for choosing a career.' And the 2022 curriculum on religions has two characteristics in terms of content: the orientation of 'making religious people (spiritual formation)' and the reemergence of the concept of 'pseudo-religion.' In Section 3, I delved into the orientation of 'making religious people through religious reflection' among the characteristics of the 2022 curriculum on religions. In this process, I discovered that the concept of 'reflection as a metacognitive technology,' which was the core of the prior curriculum and school education, was transformed into the concept of 'religious reflection,' and the concepts of spirituality and religiosity were also added. In Section 4, I delved into the dichotomy of 'religion and pseudo-religion.' 'Pseudo-religion' is a new focus in the 2022 curriculum on religions. In this process, I revealed that the concept of 'pseudo-religion' is a combination of an outdated administrative term of the Japanese Government-General of Korea during Japan's occupation of Korea, and as such, the term is inherently value-laden and harmful. I also revealed that determining 'pseudo-religion' in school education regenerates the colonial Japanese Government-General's biased attitudes toward Korean religions and forces teachers to 'invent' (detect or personally appraise) modern day pseudo-religions through arbitrary judgements. The 'curriculum to emphasize religious reflection and detect pseudo-religions in order to create religious people' can distort the subject of religion in the national curriculum as into a 'subject for religion (promotion or degradation).' If this distortion continues, the appropriateness of curriculum on religions existing within the national curriculum will eventually become a subject of debate.

Differences in Conflict Management Style according to MBTI Indicators of Nursing Students (간호대학생의 MBTI 지표에 따른 갈등해결유형의 차이)

  • Su Jeong Shin
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.6
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    • pp.479-486
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    • 2023
  • This study is a descriptive research study to determine differences in conflict management types according to MBTI preference indicators among nursing students. Data collection was from August 30 to September 30, 2023. Data analysis was performed using independent t-test, one-way ANOVA, and Scheffe's. As a result of the study, among the MBTI indicators showing significant differences in conflict management types, 'i' had higher avoidance than 'E' in the energy direction (t=-3.776, <0.01). In the case of decision-making function, F had higher concession (t=-3.478, <0.01) and avoidance (t=-3.389, <0.01) than T, and T had higher dominance than F (t=2.070, <0.5). In terms of external life coping style, J had higher cooperation (t=2.756, <0.01) and compromise (t=2.044, <0.5) than P. In MBTI's psychological function types, the NF type had higher concessions than the ST type (F=4.174, <0.05), and the SF type had higher avoidance than the ST type (F=4.202, <0.05). The results of analyzing the differences in conflict management types by combining the MBTI decision-making function type and external life coping style showed that the FJ type was more cooperative than the FP type (F=2.907, <0.05), and the FJ type was more cooperative than the TP type (F =4.662, <0.01), and the FJ type had higher avoidance than the TJ type (F=3.327, <0.05). MBTI's attitude index showed that the EJ type had higher cooperation than the EP type (F=2.817, <0.05), and the IP type had significantly higher avoidance than the EP type (F=4.551, <0.01). This study is significant in confirming differences in conflict management types by combining MBTI decision-making function types (F, T) and external life coping styles (J, P), which have not been studied in Korea to date. In the follow-up study, we propose research on conflict management types by MBTI personality type by reflecting the results of this study and expanding the number of subjects, development of conflict management programs by MBTI indicators and personality types, and analysis of program effectiveness.

Development of Strategies to Improve Water Quality of the Yeongsan River in Connection with Adaptation to Climate Change (기후변화의 적응과 연계한 영산강 수질개선대책 개발)

  • Yong Woon Lee;Won Mo Yang;Gwang Duck Song;Yong Uk Ryu;Hak Young Lee
    • Korean Journal of Ecology and Environment
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    • v.56 no.3
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    • pp.187-195
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    • 2023
  • Almost all of the water from agricultural dams located to the upper of the Yeongsan river is supplied as irrigation water for farmland and thus is not discharged to the main stream of the river. Also, most of the irrigation water does not return to the river after use, adding to the lack of flow in the main stream. As a result, the water quality and aquatic health of the river have become the poorest among the four major rivers in Korea. Therefore, in this study, several strategies for water quality improvement of the river were developed considering pollution reduction and flow rate increase, and their effect analysis was performed using a water quality model. The results of this study showed that the target water quality of the Yeongsan river could be achieved if flow increase strategies (FISs) are intensively pursued in parallel with pollution reduction. The reason is because the water quality of the river has been steadily improved through pollution reduction but this method is now nearing the limit. In addition, rainfall-related FISs such as dam construction and water distribution adjustment may be less effective or lost if a megadrought continues due to climate change and then rainfall does not occur for a long time. Therefore, in the future, if the application conditions for the FISs are similar, the seawater desalination facility, which is independent of rainfall, should be considered as the priority installation target among the FISs. The reason is that seawater desalination facilities can replace the water supply function of dams, which are difficult to newly build in Korea, and can be useful as a climate change adaptation facility by preventing water-related disasters in the event of a long-term megadrought.

The Effects of Luck in Belief and Positive Cognitive Bias on Entrepreneurial Self-Efficacy (행운신념이 긍정적 인지편향과 창업효능감에 미치는 영향)

  • Ha, Hwan Ho;Byun, Chung Gyu
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.18 no.5
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    • pp.33-44
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    • 2023
  • Entrepreneurial self-efficacy is an important variable that explains people's attitudes and behaviors toward start-ups. In this study, we focused on individual psychological characteristics variables such as luck in belief and positive cognitive bias that affect entrepreneurial self-efficacy. Among these variables, we paid particular attention to luck in belief. The belief that business success depends on luck is widespread, but scientific verification about it has not been much. The reason for the academic indifference is that luck is a kind of superstition, related to precognition or extrasensory perception, and randomly caused by the external environment. The study of luck began in earnest as a measure to measure luck as an individual characteristic variable such as personality was developed. The purpose of this study is to examine the existing studies on luck in belief and to examine the effect of this luck in belief on positive cognitive bias and entrepreneurial self-efficacy through empirical analysis. For empirical analysis, this study conducted an on-line survey of 400 ordinary people and conducted a structural equation model analysis using AMOS 21.0 to verify the hypothesis. As a result of hypothesis testing, all hypotheses that luck in belief would have a positive effect on positive cognitive bias(self-enhancement bias, illusion of control bias, unrealism optimistic bias) were adopted. The hypothesis that positive cognitive bias(self-enhancement bias, illusion of control bias, unrealistic optimism bias) will have a positive effect on entrepreneurial self-efficacy was also adopted. Additional analysis was conducted to examine the mediating role of positive cognitive bias in the relationship between luck in belief and entrepreneurial self-efficacy, which showed that 'luck in belief→positive cognitive bias →entrepreneurial self-efficacy' were statistically significant. Through this, we confirmed the mediating effect of positive cognitive bias in the relationship between luck in belief and entrepreneurial self-efficacy. In the conclusion, the implications and limitations of the study were presented based on the results of this study.

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Use of Parasites for Stock Analysis of Salmonid Fishes (연어과 어류의 계군분석을 위한 기생충의 활용)

  • Kim, Jeong-Ho
    • The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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    • v.12 no.2
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    • pp.112-120
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    • 2007
  • This paper reviews the use of parasites as 'biological tags' for studying stock analysis of salmonid fishes. Numerous definitions of stock concepts exist, but most of them essentially define a group of fish as having similar biological characteristics and being self-reproducing as stocks. It is important to manage fish stocks for human consumption and sustainable production and especially for salmonid fishes. Because these fry are considered as each country's property, it is necessary to identify and discriminate each fish stock in the open sea. Methods of separating fish stocks are very diverse. Artificial tags, parasites, otoliths scales and genetic characters have been used for stock analysis and each method has advantages and disadvantages. Of these parasites can be good biological tags because they are applied by nature at no cost. Parasites can be infected with susceptible host fishes when they enter into certain areas. Then if they move to the outside and are caught researchers can infer that the fish had been in the endemic area for a period of time during their life. Hence the host fish can be considered as naturally 'tagged' by parasites. However, if they do not pass the parasites-endemic. area, they will harbour no parasites. Therefore, researchers can discriminate each fish stocks and trace their migration routes with these biological tags. In this paper, several examples on the use of parasites as biological tags for studying salmonids, as well as other species, are listed. The advantages and limitations of parasites as biological tags are also discussed. Chum salmon (Oncorhynchus keta), the main salmonid species migrating to Korea, is distributed all around the North Pacific. Korean chum salmon are generally thought to move to the Sea of Okhotsk, the western North Pacific and the Bering Sea. However, there is no clear information on the distribution and migration pathways of Korean chum salmon, and no markers exist for separating them from others yet. Recent Korean chum salmon stock analysis including parasites information are mentioned.

Distribution and Remineralization Ratio of Inorganic Nutrients in the Divergence Zone($7^{\circ}{\sim}10.5^{\circ}N$), Northeastern Pacific (북동태평양 발산대 해역($7^{\circ}{\sim}10.5^{\circ}N$)의 무기영양염 분포와 재무기질화 비율)

  • Son, Ju-Won;Kim, Kyeong-Hong;Kim, Mi-Jin;Son, Seung-Kyu;Chi, Sang-Bum;Hwang, Keun-Choon;Park, Yong-Chul
    • The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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    • v.13 no.3
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    • pp.178-189
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    • 2008
  • The distribution of inorganic nutrients and their remineralization ratio in the divergence zone ($7^{\circ}{\sim}10.5^{\circ}N$) of the northeastern Pacific were investigated from July 2003 to July 2007. A divergence zone along the boundary of the North Equatorial Counter Current (NECC) and North Equatorial Current (NEC) at $10^{\circ}N$ was observed in July 2007 when the La Nina event and divergence-related upwelling was strong. The mean depth of oligotrophic surface mixed layer in the divergence zone was 46, 61, and 30 m in July 2003, August 2005, and July 2007, respectively. Below the surface mixed layer, a nutricline was clearly observed. The depth integrated value of nitrate including nitrite (DIVn) in the upper layer($0{\sim}100$ m depth) ranged from 5.51 to 21.71 $gN/m^2$(mean 12.82 $gN/m^2$) in July 2003, from 5.62 to 8.46 $gN/m^2$ (mean 7.15 $gN/m^2$) in August 2005, and from 8.98 to 27.80 $gN/m^2$(mean 21.12 $gN/m^2$) in July 2007. The maximum DIVn was observed at the divergence zone. The distributions of phosphate(DIVp) and silicate(DIVsi) were similar to that of DIVn and the DIVn/DIVsi ratio was $0.87{\pm}0.11$ in the upper layer. The limiting nutrient for phytoplankton growth in the study area was identified as nitrogen(N/P ratio=14.6). The nitrate (including nitrite) concentrations were lower in the region mainly affected by NEC than in the region affected by NECC. The study area of low silicate concentrations was also considered to be Si-limiting environment. The remineralization ratios of nutrients were $P/N/-O_2=1/14.6{\pm}1.1/100.4{\pm}8.8(23.44{\leq}Sigma-{\theta}{\leq}26.38)$ in the study area. These ratios suggested remineralization process in the surface layer of divergence zone.