• Journal of Microbiology and Biotechnology
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• v.28 no.12
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• pp.2019-2028
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• 2018

Natural astaxanthin mainly derives from a microalgae producer, Haematococcus pluvialis. The induction of nitrogen starvation and high light intensity is particularly significant for boosting astaxanthin production. However, the different responses to light intensity and nitrogen starvation needed to be analyzed for biomass growth and astaxanthin accumulation. The results showed that the highest level of astaxanthin production was achieved in nitrogen starvation, and was 1.64 times higher than the control group at 11 days. With regard to the optimization of light intensity utilization, it was at $200{\mu}mo/m^2/s$ under nitrogen starvation that the highest astaxanthin productivity per light intensity was achieved. In addition, both high light intensity and a nitrogen source had significant effects on multiple indicators. For example, high light intensity had a greater significant effect than a nitrogen source on biomass dry weight, astaxanthin yield and astaxanthin productivity; in contrast, nitrogen starvation was more beneficial for enhancing astaxanthin content per dry weight biomass. The data indicate that high light intensity synergizes with nitrogen starvation to stimulate the biosynthesis of astaxanthin.

• Environmental and Resource Economics Review
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• v.14 no.1
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• pp.135-166
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• 2005

This paper measures integrated pollution intensities and changes in pollution intensity, and figure out environmental performance. We introduce a new definition of pollution intensity and its method measuring integrated pollution intensities. We distinguish 24 manufacturing industries into light industry and heavy industry, and divide heavy industry into pollution industry and the other residual heavy industry to measure the integrated pollution intensities and their changes. While the pollution industry within heavy industry, based on the integrated pollution intensity, was the most pollution-intensive, the other residual heavy industry within the heavy industry was the most successive in reducing pollutants. The annualized average index of the integrated pollution intensities grew as much as 9.1 percent, of which the annualized change in the index of pollution emission increased 13.3 percent, but the improvement of 3.9 percent in the change of output quantity offset the increase in the index of pollution emission. The changes in the integrated pollution intensity for the light and heavy industries were 1.125 and 1.042, respectively. The reason the heavy industry showed the lower change in the index of pollution intensity, while the change in the pollution industry was very high, was because the average change in the other heavy industry decreased around 9 percent.

• Asia-Pacific Journal of Business
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• v.14 no.1
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• pp.59-71
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• 2023

Purpose - The purpose of this study is to investigate the effect of corporate social responsibility (CSR) on firm performance in China, plus the moderating effects of advertising intensity and environmental pollution. Design/methodology/approach - We analyzed our dataset that consists of 188 public Chinese firms drawn from the Shanghai and Shenzhen exchanges during 2010-2020. Findings - Based on the stakeholder theory and signaling theory, we proposed the positive relationship between the CSR level and the firm performance. Further, we configured consumers and the government as major stakeholders in China, suggesting positive moderating effects of advertising intensity and environmental pollution, respectively. Research implications or originality - The results show that the CSR level increases the firm performance. The advertising intensity positively moderates the relationship between the CSR level and the firm performance, but there was no significant moderating effects of environmental pollution. The findings confirm the importance of consumers for the CSR stakeholders. While the Chinese government strongly reinforces environmental regulation, CSR itself does not seem to be the fine-aligned action prioritized for mitigating environmental pollution.

• Microbiology and Biotechnology Letters
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• v.47 no.4
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• pp.614-620
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• 2019

Microalgae have been explored as potential host species for biofuel production. Environmental factors affect algal growth and cellular composition. The effects of several key environmental factors, such as temperature, light, and pH of the medium on the growth and biochemical composition of Scenedesmus obliquus were investigated in this study. The highest growth rate of microalgae was observed at an optimal temperature of 25℃, 150 μmol/(m²·s) light intensity, and pH 10.0. The biochemical composition analysis revealed that the carbohydrate content decreased at lower (20℃) or higher temperature (35℃), whereas the protein and lipid contents increase at these temperatures. The fluctuation of light intensity significantly affected the contents of protein, carbohydrate, and lipid. The protein levels varied greatly when the pH of the medium was below 7.0. The carbohydrate and lipid contents significantly increased at pH above 7.0.

• The Journal of Korean Institute of Information Technology
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• v.16 no.12
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• pp.13-24
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• 2018

Recently, light pollution has become a serious environment issue caused by excessive uses of artificial light. Central and local governments have made efforts to manage light pollution and mitigate light pollution damages. Developing methods to diagnose light pollution is critical to effectively monitor light pollution conditions in Seoul. This study develops a methodology to create a map that presents the status of light pollution in Seoul, using International Space Station(ISS) night-time images. Through the map, we evaluated the areas that show high levels of light intensity and found out local characteristics of light intensity; Commercial area, office building concentrated area, and large sports facilities. The result of study provides basic understanding to present a new way for monitoring light pollution in urban sites.

• Journal of Korean Society of Environmental Engineers
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• v.33 no.8
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• pp.572-577
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• 2011

The unit load has simply been used to estimate total pollutant loading from non-point sources, however, it does not count on the variable pollutant loading according to land use characteristics and rainfall intensity. Since pollutant emission from the watershed is strongly dependent on the rainfall intensity, it is necessary to find out the relationship between pollutant loading and rainfall intensity. The objective of this study is to develop simple and easy method to compute non-point source pollution loads with consideration of rainfall intensity. Two non-point source removal facility at Gyeongan-dong (Gwangju-si) and Mohyeon-myeon (Yongin-si), Gyeonggi-do was selected to monitor total rainfall, rainfall intensity, runoff characteristics and water quality from June to November, 2010. Most of Event Mean Concentrations (EMC) of measured water quality data were higher in Gyeongan which has urban land use than in Mohyeon which has rural land use. For the case of TP (Total Phosphorus), Mohyeon has higher values by the influence of larger chemical uses such as fertilizer. The relationship between non-point source pollution load and rainfall intensity is perfectly well explained by cubic regression with 0.33~0.81 coefficients of determination($R^2$). It is expected that the pollution loading function based on the long-term monitoring would be very useful with good accuracy in computing non-point source pollution load, where a rainfall intensity is highly variable.

• Asian Journal of Atmospheric Environment
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• v.12 no.3
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• pp.244-254
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• 2018

Ulaanbaatar, the capital of Mongolia, is subject to high levels of atmospheric pollution during winter, which severely threatens the health of the population. By analyzing surface meteorological data, ground-based LIDAR data, and radiosonde data collected from 2008 to 2016, we studied seasonal variations in particulate matter (PM) concentration, visibility, relative humidity, temperature inversion layer thickness, and temperature inversion intensity. PM concentrations started to exceed the 24-h average standard ($50{\mu}g/m^3$) in mid-October and peaked from December to January. Visibility showed a significant negative correlation with PM concentration. Relative humidity was within the range of 60-80% when there were high PM concentrations. Both temperature inversion layer thickness and intensity reached maxima in January and showed similar seasonal variations with respect to PM concentration. The monthly average temperature inversion intensity showed a strong positive correlation with the monthly average $PM_{2.5}$ concentration. Furthermore, the temperature inversion layer thickness exceeded 500 m in midwinter and overlaid the weak mixed layer during daytime. Radiative cooling enhanced by the basin-like terrain led to a stable urban atmosphere, which strengthened particulate air pollution.

• Journal of Korean Society of Water and Wastewater
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• v.26 no.1
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• pp.47-54
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• 2012

This study analyzed influence factors and the correlation among pollutants which affect occurrence of leaked pollution based on the long-term runoff flow and water quality investigation results to understand the characteristics of highway rainfall runoff pollution load. According to the result of correlation analysis on TSS (Total Suspended Solid) concentration, anteceded dry days, rainfall intensity, traffic volume and etc. as major influence factors of highway rainfall runoff pollution loads, the correlations were weak or scarce in most items. These results might be attributed that runoff pollutant concentration changes vary severely on changes of rainfall intensity and rainfall duration within rainfall and it is affected by disturbances of vehicles and street cleaning and etc. as characteristics of the highway. While Cu, Fe and Zn which are discharged with high concentrations out of heavy metals showed high correlation with particulate matter, organic matter(COD), nutrient(TN, TP), Ni and Pb showed relatively low correlation in a correlation evaluation by pollutant. Significant correlation with traffic volumes was not shown and TSS concentration even decreased in accordance with increase of the traffic volume. In the comparison with precedent studies, it was considered necessary additional analysis of the effects of rainfall section analysis, road type, disturbances of surface contaminants by vehicles, rainfall and climate conditions, surrounding terrains etc.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.21 no.4
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• pp.541-546
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• 2012

This study investigates the detection system of oil pollution level using single optical fiber sensor. This study focus on sensing of oil pollution by moisture and iron powder which are representatives of oil pollution factor. In addition, It is placed that the water and iron powder as an oil pollution factor in the oil tank which is the oil circulation in. The oil pollution detection system was measured by the changing of intensity of light and sensing gap. The result of this experimentation not only confirmed the contamination by moisture volume in the oil tank from the section 190ppm to 540ppm, but also monitored the contamination by iron volume from the section 1200ppm to 3500ppm. This study confirmed effectiveness of this detection system using optical fiber sensor. There is expectations of measuring another section by various optical fiber sensor.

• Journal of Korea Water Resources Association
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• v.52 no.4
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• pp.265-277
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• 2019

The objective of this study was to develop and verify an effective vortex typed nonfilter nonpoint source pollution reduction device. To verify this pollution reduction device, a total of twelves scenarios (three rainfall intensities${\times}$two states${\times}$two steps) of experiments were conducted using pollutants. First, simulated inflow (rainfall intensity 2.5 mm/hr: $0.00152m^3/s$, rainfall intensity 3.395 mm/hr: $0.00206m^3/s$, rainfall intensity 6.870 mm/hr: $0.00326m^3/s$) was calculated. Second, pollutants (mixture of 25% of four particle sizes) were selected and injected. Third, pollutant removal efficiencies of this device at its initial state and operating states were measured. As a result of analysis based on rainfall intensity, the concentration of pollutants was decreased by the device at initial and operating states at all rainfall intensities. Its pollutant removal efficiency was more than 80%, the standard set by the Ministry of Environment. Its pollutant removal efficiency was gradually increased over time, reaching approximately 90%. Its pollutant removal efficiency was higher in its operating state than that in its initial state. Therefore, nonpoint source pollutants can be effectively removed by this vortex typed nonpoint source pollution reduction device developed in this study.