• Korean Journal of Soil Science and Fertilizer
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• v.50 no.3
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• pp.179-186
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• 2017

This study was conducted to identify characteristics of domestic pine forest soils and to elucidate major soil influencing factors for natural regeneration. We analyzed the physico-chemical characteristics of the soil samples collected from 23 pine forests and confirmed the similar results with the forest soil characteristics. Soil pH, organic matter content, total nitrogen, exchangeable Ca, silt content, and exchangeable Al were selected as the major soil factors among the exposed soils through 10 days of pine seedlings exposure and cultivation experiments and statistical analysis. Multiple regression analysis showed that soil pH had a positive effect on specific root length (SRL) of red pine seedlings and exchangeable Al was a significant factor affecting negative change in SRL. Taken together, the reduction of exchangeable Al by soil pH adjustment would be helpful for natural regeneration by restoring the forest and improving the fine root and root integrity of pine seedlings. Therefore, soil pH and exchangeable Al could be recommended as a major soil factor to be carefully considered in the monitoring and management of soil in pine forests that need to be renewed in the future.

• Journal of Environmental Science International
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• v.8 no.1
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• pp.51-59
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• 1999

Chemical composition of atmospheric aerosols was measured at 4 sites in Pusan. All the samples were collected with a high volume air sampler from January to October 1996, to analyze major ions and heavy metals. Dominant ions of aerosols were S $O_4$$^{2-}$ in anion and N $a^{+}$ in cation. Sulfate, nitrate and ammonium ions in aerosols showed high enrichment factor to soil and seawater composition. The concentrations of heavy metals in aerosols was lowest at the site PI near the coast. The lowest concentrations of major ions and heavy metals mainly appeared in August, probably due to scavenging by frequent rains. Especially, the concentrations of total suspended particulate matter(TSP) and heavy metals in aerosols showed good correlations in Pusan. Based on crustal Al, enrichment factors for some metals(Zn, Cu, Pb, Cd) in aerosols were significantly greater than unity, and the order was Cd ＞ Pb ＞ Zn ＞ Cu. This evidence suggests that Cd and Pb are derived predominantly from non-crustal sources.s.

• Journal of Forest and Environmental Science
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• v.34 no.4
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• pp.304-312
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• 2018

This study investigates to identify the impact factors of timber production cost on the relationship between production cost components and revenues generated by evaluating the entire timber supply chain. In this research, selected 13 logging zones as target areas and classified 14 forest production cost factors, six groups. Additionally, established 13 externalenvironmental factors with related stakeholders and forestry experts. And the BCR (Benefit Cost Ratio) method was then used to analyze the economics of each zone. Filled up a checklist and rated using 5 point scale for each target region, and extracted major cost factors for the production economy of the item. The analysis of major cost factors in the timber production revealed that wood grab equipment usage fee was the first ranked and forest trees purchase cost was ranked in the $2^{nd}$Also, the $3^{rd}$ranking was logging expenses, and transport cost, which accounted for 84% of the total cost, was ranked in the $4^{th}$. In addition, the rock land ratio, slope, timber payment (forest trees purchase cost), special timber, ratio of timber, DBH (Diameter at Breast Height), and mixed forest ratio were the factors that most affected the timber supply chain cost.

• Journal of the Korean Home Economics Association
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• v.32 no.5
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• pp.29-44
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• 1994

It is an urgent time to give impetus to an ecological understanding of relationship between man and environment and to promote an action to preserve environment. This paper is to examine factors which give influence to environmental education environmental consciousness and environmental behavior of housewives. The subjects of this study are 806 Seoulite housewives. A questionaire is used as the survey method and the statistical methods such as frequency percentage ANOVA multiple regression path analysis have been applied for research. Major findings are summarized as follows: Major findings are summarized as follows: When environmental education program is relatively low differences are shown according to variables of age, education and occupation. Second, when environmental consciousness is high differences are shown according to variables of age education income and housing. Third when environmental behavior is low group difference is shown only according to age. Relative influence to environmental behaviour is shown in the order of spare-life type environmental education environmental consciousness socio-oriented type fashion-oriented type and age difference.

• Journal of Korean Society on Water Environment
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• v.38 no.6
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• pp.292-305
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• 2022

The Yeongsan River, one of the four largest rivers in South Korea, has been facing difficulties with water quality management with respect to algal bloom. The algal bloom menace has become bigger, especially after the construction of two weirs in the mainstream of the Yeongsan River. Therefore, the prediction and factor analysis of Chlorophyll-a (Chl-a) concentration is needed for effective water quality management. In this study, Chl-a prediction model was developed, and the performance evaluated using machine and deep learning methods, such as Deep Neural Network (DNN), Random Forest (RF), and eXtreme Gradient Boosting (XGBoost). Moreover, the correlation analysis and the feature importance results were compared to identify the major factors affecting the concentration of Chl-a. All models showed high prediction performance with an R² value of 0.9 or higher. In particular, XGBoost showed the highest prediction accuracy of 0.95 in the test data.The results of feature importance suggested that Ammonia (NH₃-N) and Phosphate (PO₄-P) were common major factors for the three models to manage Chl-a concentration. From the results, it was confirmed that three machine learning methods, DNN, RF, and XGBoost are powerful methods for predicting water quality parameters. Also, the comparison between feature importance and correlation analysis would present a more accurate assessment of the important major factors.

• Journal of Environmental Impact Assessment
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• v.2 no.1
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• pp.21-29
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• 1993

We live in an age of information and an era of rising environmental awareness. As a result, efficient and judicious use of environmental information has become a prerequisite to planning and management of environmental affairs in contemporary societies. So, we have embarked on a study of Environmental Information System(EIS). In the first article, we discussed the status analysis of EIS in Korea, USA, and Japan. This study as the second project has three major components. First, it classifies items and sources of 22 EIA factors. Second, it explains building of environmental information comprising geographic and attribute data of 17 factors. Finally, the study presents applications of EIS as an alternative assessment of suitability analysis. Based on these analysis, the study makes some recommendations and conclusions.

• Journal of Environmental Impact Assessment
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• v.22 no.6
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• pp.739-744
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• 2013

Recently, railroad construction becomes an alternative considering environmental merits such as mass transportation, safety, economy and energy efficiency. Also railroad can have 3 to 4 times better in economy compared to road construction. However, long line and unavoidable sensitive areas hinders railroad construction often resulted in ecosystem degradation. This paper reviewed 27 cases of EIS submitted during 2003-2006 and reviewed major issues on Animal-Plants and Landscape. Noise-Vibration (13.5%), Water Quality (13.5%), Wastes (10.8%) appeared to be most frequent factors to supplement. Route selection in the railroad is the most sensitive issues so that public participation and hearing should be involved in the early stage of the process and social and cultural factors also must be considered to make a final decision on the railroad route location and selection.

• Korean journal of food and cookery science
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• v.31 no.4
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• pp.413-422
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• 2015

The purpose of this study was to examine the effects of a lifestyle consisting of a health oriented diet and personal motivation toward health improvement on an individual's desire to participate in condolence or "healing" -workshops and programs. In order to examine the influence of the "health diet" and motivation, the "health diet" lifestyle was classified into nutrition pursuit factors, psychological factors, food safety factors, and health conscious consumption factors. Personal motivation was categorized into perceived benefits, environmental factors and the individual's desire for happiness. Empirical analysis showed that nutrition pursuit factors had an impact on perceived benefits and the desire for happiness. Psychological aspect factors had a significant influence on perceived benefits, environmental factors and the desire for happiness. However, food safety factors and health conscious consumption factors did not have an effect on individual motivation to improve health. Regarding personal motivation toward health improvement on the desire for "healing", perceived benefits and environmental factors had significant influence. However, the individual's desire for happiness did not influence the demand for "healing". Regarding the effect of a "health diet" on the desire for "healing", only the psychological aspects of a "health diet" had any significant effects on the desire for "healing". The results from this study can help local organizations or service companies that provide "healing" programs with developing effective marketing strategies that could lead to greater customer satisfaction. Especially, the significant influence of psychological aspects of a "health diet" on the demand for "healing" is noteworthy in that this could play a key role in establishing a more effective marketing strategy to attract increasing numbers of consumers using health conscious diets.

• Korean Journal of Human Ecology
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• v.12 no.4
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• pp.449-462
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• 2003

The purpose of this study was to investigate the effect of the environmental factors on the life-positioning and the self-concept of adolescents from the military families. Subjects were 75 male and 92 female students from Y-middle school in Kye-Ryong city. The results of this study were as follows: First, the life-positioning was influenced by the scholastic achievement of an adolescent and father's rank. Second, the self-concept was influenced by the gender, the order of birth, the scholastic achievement of an adolescent and parent's age, social economic status, and father's rank. Finally, the self-concept of an adolescent was influenced by one's life-positioning.

• Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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• 2005.10a
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• pp.245-246
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• 2005