• Journal of Korean Society of Forest Science
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• v.55 no.1
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• pp.37-46
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• 1982

These studies were carried out to know the measure of damage having an effect on the ornamental trees owing to sulfurous acid gas($So_2$) which injures much forest trees among air pollutions in south area of Korean and to know the difference of smoke resistance on the five representative species among them and therefore to establish the preventive measure of air pollutions in industrial complex of south area of Korea by the ornamental trees. The reaction formula utilized was $Na_2So_2+H_2So_4$ $Na_2So_4+H_O+So_4$. The results obtained were as follows. 1) The ornamental trees surveyed in the industrial complexes of Ul-San, Chang-Won and Po-hang belonged to 51 species, 161,699 trees in all. The most five species among 51 sorts of woody plants were Populus tomentiglandulosa, Buxus microphylla, Forsythia korenan, Juniperus chinensis and Pinus densiflora. 2) The relation between the concentration of sulfurous acid gas($So_2$) and the damage rate upon investigation in each species: In case of low concentration the destructive quantities of cells of woody plants, and the more increased the concentrations, the more increased the amount of damage. 3) The difference of smoke resistance among five species showed to be the strongest in Buxus micorphylla, the second rand Pupulus tomentiglandulosa, the third rand Forsythia koreana, the fourth rank Juniperus chinensis and the weakest in Pinus densiflora. 4) The ornamental trees of industrial complex expecially in south area of Korea in future should be planted gradually broad-leaved trees which have strong sprout, smoke resistance and thick leaved rather than comifers. 5) I think that the area of city forest in industrial complex requires about $50m^2$ per head of population and about 100m width of green belt between industrial area and residential district.

• Journal of the Korean Geographical Society
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• v.31 no.3
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• pp.508-528
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• 1996

The purpose of this study is to analyze the classification of the hierarchy in terms of centrality and the demarcation of shopping areas in the context of goods-purchasing activity in the Kyeong-ju si area (The old Kyeong-ju city and Wol-song Kyn). The basic data for this study include mail questionnaire materials and sources by the on-the-sport survey. The main results of this study are as follows. (1) When forty-two centers within the wide Kyeong-ju area are classified into hierarchies in terms of the functional index and the number of central functions, it is confirmed that there are five hierarchies or classes. Hierachy A is the City of Kyeong-ju. Hierarchy B is the Up of An-gang. Hierarchy Cis made up of three Up of Kam-p'o, Oe-dong and Kon-ch' on. Hierachy D consist of seven Myons and two Ris. Hierarchy E is composed of one Myon and twenty-seven Ris. (2) Hierarchy A has five proper functions of the center. Hierarchy B holds eleven of them. Hierarchy C takes forty-one. Hierarchy D cherish twenty-seven. And hierarchy E has three. Therefor Hierachies C and D have the most functions of all. The threshold populations of the lowest central function is fifty-eight of miscellaneous stores in the central place of Hierarchy E (3) The purchase distance of the central functions of a center becomes farther in the order of barbers' and beauty salons, dental clinics, TV and refrigerator shops, and furniture stores. (4) When the shopping areas are classified according to goods purchase activity, they can be divided into four: the Myon, small Up, big Up, and City areas. Each shopping area can be classified into two categories: the independent areas and compoung areas. The Kyeong-ju city area is the largest city shopping areas of Po-hang and Ull-san are very small.

• KSBB Journal
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• v.20 no.5 s.94
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• pp.345-349
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• 2005

The microorganism for odor gas removal was isolated from sewage and contaminated soil. This was characterized as Pseudomonas sp. TKC by morphological, biochemical/physiological, and cultural characteristics analysis of the isolates. The optimum conditions for isolates growth were as follows; substrate concentration 500 ppm, initial medium pH 7.0, incubation temperature $30^{\circ}C$, agitation speed 150 rpm, and MSM medium containing 3 g/L $(NH_4)_2SO_4$.

• Journal of Korea Port Economic Association
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• v.36 no.4
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• pp.1-16
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• 2020

Since Korea has excellent port infrastructure and competitive petrochemical complexes, there is plenty of potential for creating an oil hub in Northeast Asia. In particular, Ship-to-Ship (STS), which creates high added values, contributes greatly to the national economy. In this study, the liquid cargo volumes of chemical industrial products, refined petroleum products, and crude oil were analyzed at the national and regional (Busan, Ulsan, and Yeosu/Gwangyang) levels. Additionally, a Granger causality analysis was performed between imports, exports, and transshipments, in pairs. ADF, PP, and KPSS were analyzed for the unit root test. In addition, the VAR model and expanded VAR model suggested by Toda and Yamamoto were used for further analyses. Findings revealed a difference in Granger causality depending on the region or cargo type. These findings suggest that policies and incentive schemes for ports need to be differentiated according to the region and cargo types. In addition, the different patterns in the relationship between transshipments and import-export petrochemical cargoes should be considered.

• Journal of the Society of Disaster Information
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• v.18 no.2
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• pp.351-363
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• 2022

Purpose: The objective of this research is to find manufacturing employment clusters of the disaster safety sector in South Korea. Method: The LISA(Local Indicator of Spatial Association) analysis method is applied to the employment data of 229 local governments categorized by the 2019 Korean Standard Industry Classification and Disaster Safety Industry Special Classification. The LISA method identifies the spatial dependency of employment and the spatial cluster of industries. Result: Three research findings are summarized. First, employment of the disaster safety industry in South Korea occupies about six percent of the total manufacturing industry. The annual proportion is in increasing trend. Second, the employment cluster of the disaster safety industry is located in the western side of the Seoul metropolitan region. Third, manufacturing businesses of industrial safety goods preventing industrial accidents are concentrated in regions of Busan, Ulsan, Changwon, Gyeongnam, and Gimhae, where heavy and chemical industries and industrial complexes are formed. Conclusion: Investment and promotion policies are suggested to the manufacturing employment clusters of the disaster safety industry for fostering these regions. Research results can be used to the better policies for industrial development and employment improvement of manufacturing clusters of the disaster safety industry in South Korea.

• Korean Journal of Environmental Agriculture
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• v.2 no.1
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• pp.35-44
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• 1983

In order to elucidate the change of plant community of natural forests caused by air pollution in the area of Mt. Dosjil of Ulsan city, 25 study subplots, 5 subplots from each 5 plots were set up. These plots lay along gradients of chronic exposure to airborne sulfur dioxide ($SO_2$), fluorides(F) and possibly other pollutants. Total nitrogen, organic matter, available $P_2O_5$, and CEC were generally depressed near industrial sourecs of air pollutants. The author found a total 7 species near sources of air pollutants and 13 species at the utmost plot from air pollutants. Number of individuals, species diversity, evenness, similarity index and biomass were generally depressed near the industrial source of air pollutants. Tolerant plants to air pollution is Cyperus amuricus, Calamagrostis arundinacea, Bidens bipinnata, Cocculus trilobus, Digtaria sanguinalis, Persicaria hydropiper, Pinus thunbergii, Ambrosia artemisiifolia var. elatior, Rhododendron schlippenbachii and Robinia pseudoacacia. It contains 4.41ton/ha of aboveground biomass of Robinia pseudoacacia in damaged forest by air pollution and 39.47ton/ha of it in the non-attacked forest. The annual net production is 0.67ton/ha. yr in damaged forest and $7.73ton/ha{\cdot}yr$ in the non-attacked forest.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.23 no.2
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• pp.76-90
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• 2018

To determine the distribution of mercury (Hg) in the coastal surface sediments around the Korean peninsula, the baseline concentration of Hg was estimated, the extent of contamination was assessed, and the factors controlling the distribution were discussed. The concentrations of Hg in surface sediments were significantly high in Jinhae-Masan Bay in the South Sea, Ulsan-Onsan Bay and Yeongil Bay in the East Sea, but Hg in other sediments showed a similar distribution to Cs and relatively very low concentration between 0.21 and $39.5{\mu}g/kg$ ($13.6{\pm}7.80{\mu}g/kg$). Compared to the sediment quality guidelines in Korea, 8 % of the surface sediments (n=282) analyzed in this study exceeded the values of the threshold effects level (TEL), and six sediments collected around Onsan Port were higher than the value of the probable effects level (PEL). The contamination levels of Hg were assessed by the enrichment factors using the baseline concentration (2.06Cs+1.75) based on the residual analysis from the linear regression line for Cs, and further, factors controlling the distribution of Hg were discussed by the comparison with geochemical substances depending upon the Hg enrichment level. Hg concentrations were correlated well with Cs concentration in the range of less than 1.69 of EF implying grain size control, while in the range of 1.69 and 4.03 Hg concentrations were correlated well with Fe oxyhyroxide and organic carbon contents, which indicates Hg was enriched by superior sorption capability. On the meanwhile, samples with higher EFs (4.03 to 74.9) showed fairly positive correlations with other metals (Cu, Zn, Pb) rather than geochemical substances. For samples in Youngil Bay and Ulsan-Onsan Bay (n=30), Hg concentrations were correlated only with other metals rather than geochemical substances implying simultaneous supply of metal particles from metal refineries. But samples at Gosung, Sokcho and Uljin coast were correlated well with organic carbon even though they had high EFs. In addition, samples in Jinhae-Masan Bay with high contents of S were enriched by relatively high sulfide formation.

• Korean Journal of Environmental Agriculture
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• v.6 no.2
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• pp.53-65
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• 1987

The study was performed to investigate the effect of gaseous emissions of sulfur dioxide and hydrogen fluoride on the growth of rice plants under stressed field conditions consisting of 88 industrial plants operating with 285 smoke stacks emitting pollutants. As for the relationship between yields and yield components it is believed that the panicles per hill is the single most important component affecting the rate of yield of the rice plant. Based on the standard partial regression coefficient analysis, panicles per hill has the largest contribution to yield and the average contribution of 54%. Other components such as spikelets per panicle, percent fertility and 1000 grain weight are also contributing factors to yield, although far less so. Fluorine content in the leaf appear to have more negative effect on panicles per hill, percent fertility and subsequent overall yield than does sulfur content in the leaf. It is constantly observed and interesting to note that fluorine and sulfur content in the leaf appears to have no effect on spikelets per panicle and 1000 grain weight. Reduction in yield seems to be affected mainly by panicles per hill which are, in turn, affected more by fluorine content in the leaf as demonstrated by the standard partial coefficient analysis. Regarding the prediction sum of the square of the regression equation, the lowest value was found when nine variables were used for the analysis. The variables taken into consideration were the monthly sulfur and fluorine content in the leaf as well as the monthly percent of leaf damage during the months of June, July and August. A significant correlation is found between the actual and predicted yields by the regression equations selected as a result of a prediction sum of the square analysis.