• Journal of Korea Entertainment Industry Association
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• v.15 no.8
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• pp.91-106
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• 2021

The purpose of this study is to define the process of leading to self-realization and social solidarity through the process of contents planning, production, and distribution as Contents Activism, and to categorize specific execution steps. Based on this, we try to analyze concrete cases to find out the social meaning and effect of the practice of Contents Activism. As for the research method, after examining the differences between traditional activism and Contents Activism through a review of previous studies, the implementation process of Contents Activism was categorized into 7 steps. By applying this model, this study analyzed two cases of Contents Activism. The first case is the 100 laps challenge in the backyard planned by an elderly man ahead of his 100th birthday in early 2020, when the fear of COVID-19 spread. Sir Tom Moore, who lives in the UK, challenged to walk 100 laps in the backyard to help medical staff from the National Health Service as COVID-19 infections and deaths increased due to a lack of protective equipment. His challenge, which is difficult to walk without assistive devices due to cancer surgery and fall aftereffects, drew sympathy and participation from many people, leading to global solidarity. The second case analyzes the case of 'The Unfreedom of Expression, Afterwards' by Kim Seo-kyung and Kim Woon-seong, who were invited to the 2019 Aichi Triennale special exhibition in Japan. The 'Unfreedom of Expression, After' exhibition was a project to display the Statue of Peace and the lives of comfort women in the Japanese military, but it was withdrawn after three days of war due to threats and attacks from the far-right forces. Overseas artists who heard this news resisted the Triennale's decision, took and shared photos in the same pose as the Statue of Peace on social media such as Twitter and Instagram, empathizing with the historical significance of the Statue of Peace. Activism, which began with artists, has expanded through social media to the homes, workplaces, and streets of ordinary citizens living in various regions. The two cases can be said to be Contents Activism that led to social practice while solidifying and communicating with someone through contents.

• Journal of the Korean Institute of Landscape Architecture
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• v.50 no.6
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• pp.110-123
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• 2022

Namsan Park in Seoul was designated as a "grand park" in 1954 and is currently operated as an 'Urban Nature Park Area' and four 'neighborhood parks.' However, despite the park's historical and cultural value as an urban park, it has been discussed mainly from a perspective revolving around notions of a mountain or a city wall. To ensure a comprehensive exploration of Namsan Park's history, this study examined public records at the Seoul Metropolitan Archives (SMA), which houses the city's permanent records for preservation and organization. To this end, documents in the SMA Database (DB) were analyzed, yielding 1,359 records concerning Namsan Park. Based on the contents, general characteristics of the urban park were identified through production periods, record types, and disclosure types. Then, essential keywords concerning organizations, people, geographical areas, subjects, and business functions were examined. Finally, the contents and characteristics of Namsan Park in public records were scrutinized, focusing on specific spaces. This research also uncovered important information, such as park drawings, photos, planting lists, plant parcel lists, and significant discussions and decisions regarding the operation and management of the park. Although the public records do not contain a comprehensive history of Namsan Park, it was possible to check the primary historical changes and deliberation processes pertaining to the park's history. Therefore, continuous research intended to interpret and describe public records is expected to identify many implications. In addition, because the public records showed heterogeneous characteristics that center on specific periods and events, an essential task is to advance collaboration and networking with various related institutions, designers, researchers, and citizens.

• Economic and Environmental Geology
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• v.56 no.1
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• pp.23-53
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• 2023

In this review paper, previous studies on layered double hydroxides (LDHs) published in the Korean Citation Index (KCI) were examined to investigate a research trend for LDHs in Korea. Since the first publication in 2002, 160 papers on LDHs have been published until January 2023. Among the 31 academic fields, top 5 fields appeared in the order of chemical engineering, chemistry, materials engineering, environmental engineering, and physics. The chemical engineering shows the highest record of published paper (71 papers) while around 10 papers have been published in the other four fields. All papers were reclassified into 15 research fields based on the industrial and academic purposes of using LDHs. The top 5 in these fields are in order of environmental purification materials, polymer catalyst materials, battery materials, pharmaceutical/medicinal materials, and basic physicochemical properties. These findings suggest that researches on the applications of LDH materials in the academic fields of chemical engineering and chemistry for the improvement of their functions such as environmental purification materials, polymer catalysts, and batteries have been being most actively conducted. The application of LDHs for cosmetic and agricultural purposes and for developing environmental sensors is still at the beginning of research. Considering a market-potential and high-efficiency-eco-friendly trend, however, it will deserve our attention as emerging application fields in the future. All reclassified papers were summarized in our tables and a supplementary file, including information on applied materials, key results, characteristics and synthesis methods of LDHs used. We expect that our findings of overall trends in LDH research in Korea can help design future researches with LDHs and suggest policies for resources and energies as well as environments efficiently.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.5B
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• pp.595-601
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• 2008

The purpose of this study is to investigate the trends and patterns of various kind of water uses in a household by metering in Korea. Water use components are classified by toilet, washbowl, bathing, laundry, kitchen, miscellaneous. Flow meters are installed in 140 household selected by sampling in all around Korea. The data are gathered by web-based data collection system from the year 2002 to 2006, considering pre-investigated data such as occupation, revenue, family members, housing types, age, floor area, water saving devices, education, miscellaneous. Reliable data are selected by upper fence method for each observed water use component and statistical characteristics are estimated for each residential type to determine liter per capita per day. Estimated domestic per capita day show an indoor water use with the range from 150 lpcd to 169 lpcd for each housing type as the order of high rise apartment, multi-house, and single house. As the order of consuming amount among water use components, it is investigated that toilet (38.5 lpcd) is the first, and the second is laundry water (30.8 lpcd), the third is kitchen (28.4 lpcd), the fourth is bathtub (24.7 lpcd), the next is washbowl (15.4 lpcd). The results are compared with water uses in U.K. and U.S. As life style has been changed into western style, pattern of water use in Korea is tend to be similar with the U.S. water use pattern. Compared with the surveying results by Bradley, on 1985. Thirty liter of total use increased with the advancement of economic level, and a little change of water use pattern can be found. Especially, toilet water take almost half part of total water use and laundry water shows lowest as 11% in surveying at the year of 1985. But, this study shows that 39 liter, 28% of toilet water, has been decreased by the spread of saving devices and campaign. It is supposed that the spread large sized laundry machine make by-hand laundry has been decreased and water use increased. Unit water amount of each end-use in household can be applied to design factor for water and wastewater facilities, and it play a role as information in establishing water demand forecasting and conservation policy.

• Pediatric Infection and Vaccine
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• v.30 no.1
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• pp.20-32
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• 2023

Purpose: This study aimed to identify the etiology and risk factors of community-acquired pneumonia (CAP) requiring hospitalization in Korean children during the coronavirus disease 2019 (COVID-19) pandemic. Methods: Clinical information of children admitted with CAP to Seoul National University Children's Hospital (SNUCH) between January 1, 2021, and February 28, 2022, was retrospectively collected and analyzed. In addition, the etiologic diagnosis and demographic data of children with CAP who were discharged at the other seven hospitals between January and February 2022 were collected. Pneumonia was diagnosed using strict criteria comprising clinical symptoms, physical examination findings, and chest radiographic findings. Results: Among 91 children hospitalized with CAP at SNUCH during the 14-month period, 68.4% were aged <5 years and 79.1% had underlying diseases. Among the 95 CAP cases, respiratory assistance was required in 70.5%, and the use of a ventilator was required in 20.0%. A total of five patients expired, all of whom were either immunocompromised or had underlying neurological diseases. Neurological diseases and immunosuppression were significantly correlated with respiratory assistance (P=0.003) and death (P=0.014). A total of 55% of the detected respiratory pathogens were viruses, the most common of which was rhinovirus at 35.9%. Among the 169 children hospitalized for CAP at the eight institutions, ≥1 respiratory virus was detected in 92.3%, among which respiratory syncytial virus (79.8%) was the most prevalent. Conclusions: Even during the COVID-19 pandemic, Korean children were hospitalized with CAP caused by seasonal respiratory viral pathogens. Although atypical and pyogenic bacteria were not detected, continuous clinical monitoring and further prospective studies should be conducted.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.5
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• pp.17-32
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• 2023

The entrepreneurial activities of college students play a significant role in modern economic and social development, particularly as a solution to the changing economic landscape and youth unemployment issues. Introducing innovative ideas and technologies into the market through entrepreneurship can contribute to sustainable economic growth and social value. Additionally, the entrepreneurial intentions of college students are shaped by various factors, making it crucial to deeply understand and appropriately support these elements. To this end, this study systematically explores the importance and impact of role models through a multiple serial mediation analysis. Through a survey of 300 college students, the study analyzed how two psychological variables, growth mindset and entrepreneurial self-efficacy, mediate the influence of role models on entrepreneurial intentions. The presence and success stories of role models were found to enhance the growth mindset of college students, which in turn boosts their entrepreneurial self-efficacy and ultimately strengthens their entrepreneurial intentions. The analysis revealed that exposure to role models significantly influences the formation of a growth mindset among college students. This mindset fosters a positive attitude towards viewing challenges and failures in entrepreneurship as learning opportunities. Such a mindset further enhances entrepreneurial self-efficacy, thereby strengthening the intention to engage in entrepreneurial activities. This research offers insights by integrating various theories, such as mindset theory and social learning theory, to deeply understand the complex process of forming entrepreneurial intentions. Practically, this study provides important guidelines for the design and implementation of college entrepreneurship education. Utilizing role models can significantly enhance students' entrepreneurial intentions, and educational programs can strengthen students' growth mindset and entrepreneurial self-efficacy by sharing entrepreneurial experiences and knowledge through role models. In conclusion, this study provides a systematic and empirical analysis of the various factors and their complex interactions that impact the entrepreneurial intentions of college students. It confirms that psychological factors like growth mindset and entrepreneurial self-efficacy play a significant role in shaping entrepreneurial intentions, beyond mere information or technical education. This research emphasizes that these psychological factors should be comprehensively considered when developing and implementing policies and programs related to college entrepreneurship education.

• Journal of the Korean Institute of Landscape Architecture
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• v.52 no.1
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• pp.59-70
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• 2024

As urbanization progresses, the demand for parks and green space is increasing. Park green spaces in the city are important spaces in the city because they are recognized as spaces where people can freely engage in outdoor activities. The park service area is a measure that shows the extent to which services are provided based on distance. In this process, the concept of accessibility plays an important role, and walking, in particular, as the most basic means of transportation for people and has a great influence on the use of parks. However, the current park service area analysis focuses on discovering underprivileged areas, so detailed evaluation of beneficiary areas is insufficient. This study seeks to evaluate park service areas based on the pedestrian accessibility and the pedestrian network. Park services are services that occur when users directly visit the park, and accessibility is expected to be reflected in terms of usability. To quantify the pedestrian network, this study used space syntax to analyze pedestrian accessibility based on integration values. The integration values are an indicators that quantify the level of accessibility of the pedestrian network, and in this study, the higher the integration value, the higher the possibility of park use. The results of the study are as follows. First, Bundang-gu's park service area accounts for 43%, and includes most sections with high pedestrian accessibility, but some sections with good pedestrian accessibility are excluded. This can be seen as a phenomenon that occurs when residential areas and commercial and business areas are given priority during the urban planning process, and then park and green areas are selected. Second, based on Bundang-gu, the park service area and pedestrian accessibility within the park service area were classified by neighborhood unit. Differences appear for each individual neighborhood unit, and it is expected that the availability of the park will vary accordingly. In addition, even in areas created during the same urban planning process, there were differences in the evaluation of park service areas according to pedestrian accessibility. Using this, it is possible to evaluate individual neighborhood units that can be reflected in living area plans, and it can be used as a useful indicator in park and green space policies that reflect this in the future.

• Information Systems Review
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• v.16 no.3
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• pp.161-177
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• 2014

Corporate credit rating assessment consists of complicated processes in which various factors describing a company are taken into consideration. Such assessment is known to be very expensive since domain experts should be employed to assess the ratings. As a result, the data-driven corporate credit rating prediction using statistical and artificial intelligence (AI) techniques has received considerable attention from researchers and practitioners. In particular, statistical methods such as multiple discriminant analysis (MDA) and multinomial logistic regression analysis (MLOGIT), and AI methods including case-based reasoning (CBR), artificial neural network (ANN), and multiclass support vector machine (MSVM) have been applied to corporate credit rating.2) Among them, MSVM has recently become popular because of its robustness and high prediction accuracy. In this study, we propose a novel optimized MSVM model, and appy it to corporate credit rating prediction in order to enhance the accuracy. Our model, named 'GAMSVM (Genetic Algorithm-optimized Multiclass Support Vector Machine),' is designed to simultaneously optimize the kernel parameters and the feature subset selection. Prior studies like Lorena and de Carvalho (2008), and Chatterjee (2013) show that proper kernel parameters may improve the performance of MSVMs. Also, the results from the studies such as Shieh and Yang (2008) and Chatterjee (2013) imply that appropriate feature selection may lead to higher prediction accuracy. Based on these prior studies, we propose to apply GAMSVM to corporate credit rating prediction. As a tool for optimizing the kernel parameters and the feature subset selection, we suggest genetic algorithm (GA). GA is known as an efficient and effective search method that attempts to simulate the biological evolution phenomenon. By applying genetic operations such as selection, crossover, and mutation, it is designed to gradually improve the search results. Especially, mutation operator prevents GA from falling into the local optima, thus we can find the globally optimal or near-optimal solution using it. GA has popularly been applied to search optimal parameters or feature subset selections of AI techniques including MSVM. With these reasons, we also adopt GA as an optimization tool. To empirically validate the usefulness of GAMSVM, we applied it to a real-world case of credit rating in Korea. Our application is in bond rating, which is the most frequently studied area of credit rating for specific debt issues or other financial obligations. The experimental dataset was collected from a large credit rating company in South Korea. It contained 39 financial ratios of 1,295 companies in the manufacturing industry, and their credit ratings. Using various statistical methods including the one-way ANOVA and the stepwise MDA, we selected 14 financial ratios as the candidate independent variables. The dependent variable, i.e. credit rating, was labeled as four classes: 1(A1); 2(A2); 3(A3); 4(B and C). 80 percent of total data for each class was used for training, and remaining 20 percent was used for validation. And, to overcome small sample size, we applied five-fold cross validation to our dataset. In order to examine the competitiveness of the proposed model, we also experimented several comparative models including MDA, MLOGIT, CBR, ANN and MSVM. In case of MSVM, we adopted One-Against-One (OAO) and DAGSVM (Directed Acyclic Graph SVM) approaches because they are known to be the most accurate approaches among various MSVM approaches. GAMSVM was implemented using LIBSVM-an open-source software, and Evolver 5.5-a commercial software enables GA. Other comparative models were experimented using various statistical and AI packages such as SPSS for Windows, Neuroshell, and Microsoft Excel VBA (Visual Basic for Applications). Experimental results showed that the proposed model-GAMSVM-outperformed all the competitive models. In addition, the model was found to use less independent variables, but to show higher accuracy. In our experiments, five variables such as X7 (total debt), X9 (sales per employee), X13 (years after founded), X15 (accumulated earning to total asset), and X39 (the index related to the cash flows from operating activity) were found to be the most important factors in predicting the corporate credit ratings. However, the values of the finally selected kernel parameters were found to be almost same among the data subsets. To examine whether the predictive performance of GAMSVM was significantly greater than those of other models, we used the McNemar test. As a result, we found that GAMSVM was better than MDA, MLOGIT, CBR, and ANN at the 1% significance level, and better than OAO and DAGSVM at the 5% significance level.

• Asia pacific journal of information systems
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• v.21 no.2
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• pp.89-116
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• 2011

In collaborative tagging systems such as Delicious.com and Flickr.com, users assign keywords or tags to their uploaded resources, such as bookmarks and pictures, for their future use or sharing purposes. The collection of resources and tags generated by a user is called a personomy, and the collection of all personomies constitutes the folksonomy. The most significant need of the folksonomy users Is to efficiently find useful resources or experts on specific topics. An excellent ranking algorithm would assign higher ranking to more useful resources or experts. What resources are considered useful In a folksonomic system? Does a standard superior to frequency or freshness exist? The resource recommended by more users with mere expertise should be worthy of attention. This ranking paradigm can be implemented through a graph-based ranking algorithm. Two well-known representatives of such a paradigm are Page Rank by Google and HITS(Hypertext Induced Topic Selection) by Kleinberg. Both Page Rank and HITS assign a higher evaluation score to pages linked to more higher-scored pages. HITS differs from PageRank in that it utilizes two kinds of scores: authority and hub scores. The ranking objects of these pages are limited to Web pages, whereas the ranking objects of a folksonomic system are somewhat heterogeneous(i.e., users, resources, and tags). Therefore, uniform application of the voting notion of PageRank and HITS based on the links to a folksonomy would be unreasonable, In a folksonomic system, each link corresponding to a property can have an opposite direction, depending on whether the property is an active or a passive voice. The current research stems from the Idea that a graph-based ranking algorithm could be applied to the folksonomic system using the concept of mutual Interactions between entitles, rather than the voting notion of PageRank or HITS. The concept of mutual interactions, proposed for ranking the Semantic Web resources, enables the calculation of importance scores of various resources unaffected by link directions. The weights of a property representing the mutual interaction between classes are assigned depending on the relative significance of the property to the resource importance of each class. This class-oriented approach is based on the fact that, in the Semantic Web, there are many heterogeneous classes; thus, applying a different appraisal standard for each class is more reasonable. This is similar to the evaluation method of humans, where different items are assigned specific weights, which are then summed up to determine the weighted average. We can check for missing properties more easily with this approach than with other predicate-oriented approaches. A user of a tagging system usually assigns more than one tags to the same resource, and there can be more than one tags with the same subjectivity and objectivity. In the case that many users assign similar tags to the same resource, grading the users differently depending on the assignment order becomes necessary. This idea comes from the studies in psychology wherein expertise involves the ability to select the most relevant information for achieving a goal. An expert should be someone who not only has a large collection of documents annotated with a particular tag, but also tends to add documents of high quality to his/her collections. Such documents are identified by the number, as well as the expertise, of users who have the same documents in their collections. In other words, there is a relationship of mutual reinforcement between the expertise of a user and the quality of a document. In addition, there is a need to rank entities related more closely to a certain entity. Considering the property of social media that ensures the popularity of a topic is temporary, recent data should have more weight than old data. We propose a comprehensive folksonomy ranking framework in which all these considerations are dealt with and that can be easily customized to each folksonomy site for ranking purposes. To examine the validity of our ranking algorithm and show the mechanism of adjusting property, time, and expertise weights, we first use a dataset designed for analyzing the effect of each ranking factor independently. We then show the ranking results of a real folksonomy site, with the ranking factors combined. Because the ground truth of a given dataset is not known when it comes to ranking, we inject simulated data whose ranking results can be predicted into the real dataset and compare the ranking results of our algorithm with that of a previous HITS-based algorithm. Our semantic ranking algorithm based on the concept of mutual interaction seems to be preferable to the HITS-based algorithm as a flexible folksonomy ranking framework. Some concrete points of difference are as follows. First, with the time concept applied to the property weights, our algorithm shows superior performance in lowering the scores of older data and raising the scores of newer data. Second, applying the time concept to the expertise weights, as well as to the property weights, our algorithm controls the conflicting influence of expertise weights and enhances overall consistency of time-valued ranking. The expertise weights of the previous study can act as an obstacle to the time-valued ranking because the number of followers increases as time goes on. Third, many new properties and classes can be included in our framework. The previous HITS-based algorithm, based on the voting notion, loses ground in the situation where the domain consists of more than two classes, or where other important properties, such as "sent through twitter" or "registered as a friend," are added to the domain. Forth, there is a big difference in the calculation time and memory use between the two kinds of algorithms. While the matrix multiplication of two matrices, has to be executed twice for the previous HITS-based algorithm, this is unnecessary with our algorithm. In our ranking framework, various folksonomy ranking policies can be expressed with the ranking factors combined and our approach can work, even if the folksonomy site is not implemented with Semantic Web languages. Above all, the time weight proposed in this paper will be applicable to various domains, including social media, where time value is considered important.

• Proceedings of the KOR-BRONCHOESO Conference
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• 1972.03a
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• pp.3.4-5
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• 1972

생활수준이 낮은 단계에 있어서는 우선 식량에 대한 수요가 강하다. 인간의 욕구가 만족스럽게 먹는다는 것에 대하여 제일 강하게 발동하는 것이다 그러나 점차 과학기술과 산업과 경제가 발전하여 성장과정에 오르게 되고 소득수준도 향상하게 되면 시장기구를 통해서 구입 할 수 있는 개인의 물적 소비재에 대해서는 점차 충족하게 되며 식량이외에도 의복, 전기기구 및 일용생활용품, 자동차 등에 이르기까지 더욱 고차원의 소비재가 보급하게 되는 것이다. 이렇게 되며는 사람의 욕구는 사적 재물이나 물적 수요에서 점진적으로 공공재나 또는 질적 수요(주택, 생활환경 등)의 방향으로 움직이게 되는 것으로써 여기에 환경오염 또는 공해문제에 대하여 의식하게 된다. 그러나 여기에서 더욱이 문제점이 되는 것은 소득 수준의 향상 과정이란 그 자체가 환경오염의 커다란 요인이라는 점이며 자동차의 급격한 보급과 생활의 편의성을 구하여 집중되는 도시인구의 집적, 높은 소득을 보장하기 위한 생산성 높은 중화학공업의 발전 등등은 그 자체가 환경권이란 사람이 요구하는 고차원의 권리를 침해하는 직접적인 요인이 된다는 것이다. 이와 같은 환경오염이나 공해문제에 대한 세계적인 논의는 이미 시작된 지 오래이지만 현재는 우리의 건강보호를 위해서나 생활환경의 보전을 위해서라는 점에서는 그치는 것이 아니고, 더욱 넓혀서 자연의 보호, 자원의 보호라는 견지로 확대되고 있다. 이와 같은 세계적인 확대된 이해와 이에 대한 대책강구의 제안은 1968년 국제연합의 경제사회이사회에서 스웨덴 정부대표에 의하여 제시되었으며 1969년의 우- 탄트 사무총장의 인간환경에 관한 보고서, 1970년 Nixon 미대통령의 연두일반교서 그리고 1972년 5월 6일 스웨덴의 스톡홀롬에서 개최되는 인간환경회의의 주제 등을 통해서 알 수 있고, 종래의 공해나 생활환경의 오염문제라는 좁은 개념에서가 아니고 인간환경전체의 문제로 다루고 있는 것이다. 즉 환경개발(도시, 산업, 지역개발에 수반된 문제), 환경오염(인위적 행위에 의하여 환경의 대인간조건이 악화하는 문제) 자연ㆍ자원의 보호관리(지하, 해양자원, 동식물, 풍경경치의 문제)란 3개 측면에서 다루고 있는 것이다. 환경오염이란 문제를 중 심하여 보면 환경을 구성하는 기본적인 요소로서 대기, 물, 토지 또는 지각. 그리고 공간의 사대요소로 집약하여 생각할 수 있음으로 이 4요소의 오염이 문제가 되는 것이다. 대기의 오염은 환경의 오염중 가장 널리 알려진, 또 가장 오랜 역사를 가진 오염의 문제로써 이에 속하는 오염인자는 분진, 매연, 유해가스(유황산화물, 불화수소, 염화수소, 질소산화물, 일산 화염소 등) 등 대기의 1차 오염과 1차 존재한 물질이 자외선의 작용으로 변화발생 하는 오존, PAN등 광화학물질이 형성되는 2차적인 오염을 들 수 있다. 기외 카도미움, 연등 유해중금속이나 방사선물질이 대기로부터 토지를 오염시켜서 토지에 서식하는 생물의 오염을 야기케 한다는 점등이 명백하여지고 있으며 대기의 오염은 이런 오염물질이 대기중에서 이동하여 강우에 의한 침강물질의 변화를 일으키게 되며 소위 광역오염문제를 발생케하며 동시에 토지의 토질저하등을 가져오게 한다. 물의 오염은 크게 내육수의 오염과 해양의 오염의 양면으로 나누어 볼 수 있다. 하천의 오염을 방지하고 하천을 보호하기 위한 움직임 역시 환경오염의 역사상 오래된 문제이며 시초에는 인분뇨와의 연결에서 오는 세균에 의한 오염이나 양수 기타 일반하수와의 연결에서 오는 오염에 대비하는 것부터 시작하였지만 근래에는 산업공장폐수에 의한 각종 화학적유해물질과 염료 그리고 석유화학의 발달에 의한 폐유등으로 인한 수질오탁문제가 점차 크게 대두되고 있다. 이것은 측 오염이란 시초에 우리에게 주는 불쾌감이 크므로 이것을 피하자는 것부터 시작하여 인간의 건강을 지키고 각종 사용수를 보존하자는 용수보존으로 그리고 이제는 건강과 용수보존뿐만 아니라 이것이 농림 수산물에 대한 큰 피해를 주게됨으로써 오는 자연환경의 생태계보전의 문제로 확대전환하고 있는 것이다. ？간 특히 해양오염에 대한 문제는 국지적인 것에만 끝이는 것이 아니고 전세계의 해양에 곧 연결되는 것이므로 세계각국의 공통관심사로 등장케 되었으며 이것은 특히 폐유가 유류수송 도중에 해양에 투기되는 유류에 의한 해양의 유막성형에서 오는 기상의 변화와 물피해등이 막심함으로 심각화 되고 있다. 각국이 자국의 해안과 해양을 보호하기 위하여 조치를 서두르고 있는 현시점에서 볼 때에는 이는 국제문제화하고 있으며 세계적인 국제적 협력과 협조의 필요성이 강조되는 좋은 예라 하겠다. 토양의 오염에 있어서는 대기나 수질의 오염이 구국적으로 토양과 관련되고 토양으로 환원되는 것이지만 근래에 많이 보급사용되는 농약과 화학비료의 문제는 토양자체의 오염에만 그치는 것이 아니고 농작물을 식품으로 하여 섭취함으로써 발생되는 인체나 기타생물체의 피해를 고려할 때 더욱 중요한 것이며, 또 토질의 저하를 가져오게 하여 농림생산에 미치는 영향이 적지 않을 것이다. 지반강하는 지각 에 주는 인공적 영향의 대표적인 것으로써 지하수나 지하 천연가스를 채취이용하기 위하여 파들어 감으로써 지반이 침하 하는 것이며 건축물에 대한 영향 특히 풍수해시의 재해를 크게 할 우려가 있는 것이다. 공간에 있어서의 환경오염에는 소음, 진동, 광선, 악취 등이 있다. 이들은 특수한 작업환경의 경우를 제외하고는 건강에 직접적인 큰 피해를 준다고 생각할 수 없으나 소음, 진동, 관선, 악취 등은 일반 일상시민생활에 불쾌나 불안을 줌으로써 안정된 생활을 방해하는 요인이 되는 것이다. 공간의 오염물로써 새로운 주목을 끌게된 것은 도시산업폐기물로써 이들은 대기나 물 또는 토지를 오염시킬 뿐만 아니라 공간을 점령함으로써 도시의 미관이나 기능을 손상케 하는 것이다. 즉 노배폐차의 잔해, 냉장고등고형폐기물등의 재생불가능한 것이나 비니루등 합성물질로 된 용기나 포장 등으로 연소분해 되지 않은 내구소비재가 이에 해당하는 것으로 이는 maker의 양식에 호소하여 그 책임 하에 해결되어야 할 문제로 본다. 이렇듯 환경오염은 각양각색으로 그 오염물질의 주요 발생원인 산업장이나 기타 기관에서의 발생요인을 살펴보며는 다음과 같은 것으로 요약할 수 있다. A. 제도적 요인 1. 관리체재의 미비 2. 관리법규의 미비 3. 책임소재의 불명확 B. 자재적 요인 1. 사용자재의 선택부적 2. 개량대책급 연구의 미흡 C. 기술적 요인 1. 시설의 설계불량, 공정의 결함 2. 시설의 점검, 보전의 불충분 3. 도출물의 취급에 대한 검사부족 4. 발생방지 시설의 미설치, 결함 D. 교육적 요인 1. 오염물질 방제지식의 결여 2. 법규의 오해, 미숙지 E. 경제적 요인 1. 자금부족 2. 융자상의 문제 3. 경제성의 문제 F. 정신적 요인 1. 사회적 도의심의 결여(이기주의) 2. 태만 3. 무지, 무관심 등이다. 따라서 환경오염의 방지란 상기한 문제의 해결에 기대하지 않을 수 없으나 이를 해결하기 위하여는 국내적 국제적 상호협조에 의한 사회각층의 총력적 대책이 시급한 것이다. 이와 같은 환경오염이 단속된다 하며는 미구에 인류의 건강은 물론 그 존립마저 기대하기 어려울 것이며, 현재는 점진적으로 급성피해에 대하여는 그 흥미가 집중되어 그 대비책도 많이 논의되고 있지만 미량의 단속접촉에 의한 만성축적에 관한 문제나 이와 같은 환경오염이 앞으로 태어날 신생률에 대한 영향이나 유전정보에 관한 연구는 장차에 대비하는 문제로써 중요한 것이라 생각된다. 기외에 우려되는 점은 오염방지책을 적극 추진함으로써 올 수 있는 파생적인 문제이다. 즉 오염을 방지하기 위하여 생산기업체가 투자를 하게 되며는 그만큼 생산원가가 상승할 것이며 소비가격도 오를 것이다. 반면 이런 시책에 뒤떨어진 후진국의 값싼 생산국은 자연 수입이 억제 당할 것이며, 이렇게되면 후진국은 무역경쟁에서 큰 상처를 입게될 것이고 뿐만 아니라 선진국에 필요한 오염물질의 발생이 높은 생산기기를 자연후진국에 양도하게 될 것임으로 후진국의 환경오염은 배가할 우려가 있는 것이다. 또 해양오염을 방지할 목적에서와 같이 자국의 해안보호를 위하여 마련된 법의 규제는 타국의 선박운항에 많은 제약을 가하게 될 것이며 이것 역시 시설이 미약한 약소후진국의 선박에 크게 영향을 미치게 될 것임으로 교통, 해운, 무역등을 통한 약소후진국의 경제성장에 제동을 거는 것이 될 것이다. 이렇듯 환경오염의 문제는 환경자체에 대해서만 아니라 부산물적으로 특히 후진국에는 의외 문제를 던져주게 되는 것임으로 환경오염에 대해서는 물론, 전술한 바와 같이 인간환경전체의 문제로써 Nixon 대통령이 말한 결의와 창의와 그리고 자금을 가지고 과감하게 대처해 나가야 할 것이다.