2019, Vol.28, No.3

Journal of Environmental Impact Assessment 2023 KCI Impact Factor : 0.51

pISSN : 1225-7184
https://journal.kci.go.kr/kseia

In this study, the characteristics of seasonal PM2.5 behavior in South Korea and other Northeast Asian regions were analyzed by using the PM2.5 ground measurement data, weather data, WRF and CMAQ models. Analysis of seasonal PM2.5 behavior in Northeast Asia showed that PM2.5 concentration at 6 IMS sites in South Korea was increased by long-distance transport and atmospheric congestion, or decreased by clean air inflow due to seasonal weather characteristics. As a result of analysis by applying BFM to air quality model, the contribution from foreign countries dominantly influenced the PM2.5 concentrations of Baengnyeongdo due to the low self-emission and geographical location. In the case of urban areas with high self-emissions such as Seoul and Ulsan, the PM2.5 contribution from overseas was relatively low compared to other regions, but the standard deviation of the season was relatively high. This study is expected to improve the understanding of the air pollutant phenomenon by analyzing the characteristics of PM2.5 behavior in Northeast Asia according to the seasonal weather condition change. At the same time, this study can be used to establish the air quality policy in the future, knowing that the contribution of PM2.5 concentration to the domestic and overseas can be different depending on the regional emission characteristics.

The concept of ecosystem services is important for the effective management of regional ecological resources. Multiple ecosystem services provided by regional ecosystems are represented as ecosystem service bundles, which define the co-occurrent ecosystem services in a specific region. Bundles provide useful information to identify regional characteristics of ecosystem services and categorize sub-regions with similar patterns of ecosystem service provision. We assessed eleven ecosystem services using modeling approaches and statistical data and produced bundles of cities in Gyeonggi-do.We also conducted principal component analysis and cluster analysis to categorize these cities according to the characteristics of ecosystem services. The results indicated that the cities in Gyeonggi-do were categorized into three groups depending on the types of provision, regulation, and cultural services, and were designated as urbanized, urban-forest, agriculture, or forest cities. These groups were influenced by land use patterns reflecting regional social-environmental features. The results provide useful information for identifying regional ecosystem services and facilitate decision making in regional ecosystem service management.

The objective of this research is to evaluate the water quality characteristics using the statistical analysis of major tributaries in the Han River and to provide water quality improvement plan by selecting tributaries that should be preferentially managed by river grade classification method. The major 15 tributaries in Han River watershed were monitored for discharge and water quality during January-December 2017. As a result of the correlation analysis, the river discharge has been not correlation with other water quality constituents (p>0.05) but COD and TOC were significantly correlated (r=0.957, p<0.01). The main cause of water quality fluctuation was organic pollutants and nutrients in the principal component analysis (PCA) method. The BOD, COD, TOC, TN, and TP were found to be significantly different (p<0.05) by seasonal in result of one-way ANOVA analysis. Result of river grade classification by quantitative indicators the tributaries requiring improvement of water quality were Gulpocheon, Anyangcheon, Wangsukcheon, and Tancheon which affected by wastewater treatment plant. In this research, we determined tributaries that need to improve the water quality of Han River watershed and it can be used as an important data for efficient water quality management.