2023, Vol.32, No.4

Journal of Environmental Impact Assessment 2023 KCI Impact Factor : 0.51

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

The AERMOD model was the most used, accounting for 89.0%, based on the analysis of the environmental impact assessment reports published in the Environmental Impact Assessment Information Support System (EIASS) between 2021 and 2022. The mismatch of versions between AERMET and AERMOD was found to be 25.3%. There was the operational time discrepancy of 50.6% from industrial complexes, urban development projects between used in the model and applied in estimating pollutant emissions. The results of applying various versions of the AERMET and AERMOD models to both area sources and point sources in both simple and complex terrain in the Gunsan area showed similar values after AERMOD version 12 (15181). Emissions are assessed as 24-hour operation, and the predicted concentration in both simple and complex terrain when using the variable emission coefficient option that applies an 8-hour daytime operation in the model is lowered by 37.42% ~ 74.27% for area sources and by 32.06% ~ 54.45% for point sources. Therefore, to prevent the error in using the variable emission coefficient, it is required to clearly present the emission calculation process and provide a detailed explanation of the composition of modeling input data in the environmental impact assessment reports. Also, thorough reviews by special institutions are essential.

This study was aimed to derive the following regional characteristics and implications by reviewing the effects of local communities and overseas cases through agricultural heritage and related systems to prepare rural regeneration measures using agricultural and rural heritage. First, The study was examined to improve the awareness to improve awareness of the value and preservation of heritage through the designation of agricultural heritage. However, it was found that it was necessary to prepare for social problems such as the aging population in the future. Second, most of the residents’ perceptions showed a positive perception of the designation of agricultural heritage, but they were somewhat less recognized in terms of economics, so it was found that regeneration measures were needed to compensate for this. Third, as a result of applying the effect measurement model, the preservation and management effect that meets the purpose of the system is high, and the effect varies depending on projects such as local governments and residents’ councils. Fourth, as a result of examining rural regeneration measures through overseas cases, it was found that rather than large-scale development, various cultural and natural resources and activation measures were prepared by expanding the scope to surrounding areas. This study was conducted only on agricultural heritage areas, but it is meaningful that agricultural and rural heritage should be reviewed from various perspectives suitable for the current trend, and it is meaningful in that it considers not only local residents’ perception but also regional effects and revitalization measures.

At a time when it is urgent to establish a management system for landscape quality assessment of offshore wind farms in Korea, we analyzed foreign cases to draw implications for improving the landscape quality assessment of offshore wind farms in Korea and to explore the direction of efficient landscape assessment. The main contents derived from the analysis of overseas cases and systems are as follows. First, offshore wind farms are large-scale projects, and it is necessary to consider the landscape from the pre-planning stage, as in overseas cases. Second, the evaluation items for marine landscape quality should be expanded and systematized. Third, a flexible evaluation system that can consider new landscape impacts is required. In order to identify the landscape impacts of offshore wind farm projects, we refer to the landscape assessment items and procedures derived from overseas cases, but reflect them appropriately to the domestic maritime conditions, and specifically introduce a plan to minimize the landscape impacts that may occur during offshore wind farm projects to contribute to the sustainable use of offshore wind power.