This study aims to analyze the income structure, cost structure, and profit structure based on data related to the business performance of the boat seine fishery from 1990 to 2020, and to identify the direct and indirect factors affecting fishery profitability through panel regression analysis. The main analysis results are as follows. First, it was found that fish catch has a significant amount of impact on fishery profitability, which is a key factor in improving the profitability of anchovy boat seine fishery. Second, it is necessary to develop carbon-reduced fishing gear, develop fleet-reduced fishing gear, and improve the operating system in order to increase fishery profitability for the short run. Third, it is necessary to create and maintain sustainable profitability for the long run, the continuous fishing vessels buyback program, an active responses to climate change, and the follow-up investigations about marine aggregate extraction in the south sea EEZ are needed.

The characteristics of meteorological conditions and air pollution were investigated in a valley city (Yangsan) on bad visibility days (from 05:00 to 09:00 LST) of the cold half year (November 2008 to April 2009). This analysis was performed using the hourly observed data of meteorological variables (temperature, wind speed and direction, relative humidity, and 2 m and 10 m temperature) and air pollutants (NO2, SO2, PM10, and O3). In addition, visibility data based on visual measurements and a visibility meter were used. The bad visibility days were classified into four types: fog, mist, haze, and the mixture (mist+haze). The results showed that the bad visibility days of the four types in the valley city were observed to be more frequently (about 50% of the total study period (99 days except for missing data)) than (27%) those near coastal metropolitan city (Busan). The misty days (39%) in the valley city were the most dominant followed by the hazy (37%), mixture (14%), and foggy days (10%). The visibility degradation on the misty days in Yangsan was closely related to the combined effect of high-level relative humidity due to the accumulation of water vapor from various sources (e.g. river, stream, and vegetation) and strong inversion due to the development of surface radiative cooling within the valley. On the hazy days, the visibility was mainly reduced by the increase in air pollutant (except for O3) concentrations from the dense emission sources under local conditions of weaker winds from the day before and stronger inversion than the misty days. The concentrations of NO2, PM10, and SO2 (up to +36 ppb, +25 ㎍/m3, and +7 ppb) on the hazy days were a factor of 1.4-2.3 higher than those (+25 ppb, +14 ㎍ /m3, and +3 ppb) on the misty days.

Volcano eruption can cause health problems in many way. For example, acid rain, gas & acid particle emissions, ash & tephra, lava flows, debris avalanches, and volcanogenic earthquakes can cause significant human health problems. In this presentation, the focus was made on the development and aggravation of disease that might be expected after the eruption of Mt. Baekdu. Especially, the effect of volcanic ashes on human health was emphasizing since it is expected that the most health problems in South Korea caused by the eruption of Mt. Baekdu comes from volcanic ashes. The possible disease expected after the eruption of Mt. Baekdu are as following: (a) asthma; (b) COPD: chronic obstructive lung disease; (c) conjuunctivitis; and (d) dermatologic disease. The relationship between volcanic ahses and each disease was discussed.

After analyzing the correlation between air pollution and visibility, TSP and NO2 is responsible for poor visibility in Pusan. After analyzing the correlation between meteorological factors and visibility, general pattern of humidity has clear negative correlation. The variation of wind speed has a positive correlation. In order to investigate the cause of poor visibility in Pusan area, the Andersen sampler and PM-2.5 are used to collect and analyze aerosol. This study was carried out to monitor the visibility using Forward scattering meter and to find out the characteristics and the cause of good visibility case and poor visibility case by measuring and analyzing a variety of parameters, such as particle size distributions, chemical compositions, and meteorological conditions in Pusan. According to the analysis of intensive sampling, NO3-, NH4+ ion concentration increased together with the mass concentration around 0.5∼2.5㎛ approximately during the case of poor visibility. NH4NO3, NH4Cl, and NaCl were thought to be the major components of fine particles.