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환경영향평가 고도화를 위한 평가항목별 민원기반 데이터 수요 도출 연구
최유영 ( Choi Yu-young ),조효진 ( Cho Hyo-jin ),황진후 ( Hwang Jin-hoo ),김윤지 ( Kim Yoon-ji ),임노을 ( Lim No-ol ),이지연 ( Lee Ji-yeon ),이준희 ( Lee Jun-hee ),성민준 ( Sung Min-jun ),전성우 ( Jeon Seong-woo ),성현찬 ( Sung Hyu 한국환경복원기술학회 2021 한국환경복원기술학회지 Vol.24 No.6
Although the Environmental Impact Assessment (EIA) is continuously being advanced, the number of environmental disputes regarding it is still on the rise. In order to supplement this, it is necessary to analyze the accumulated complaint cases. In this study, through the analysis of complaint cases, it is possible to identify matters that need to be improved in the existing EIA stages as well as various damages and conflicts that were not previously considered or predicted. In the process, we dervied ‘complaint-based data demands’ that should be additionally examined to improve the EIA. To this end, a total of 348 news articles were collected by searching with combinations of ‘environmental impact assessment’ and a keyword for each of the six assessment groups. As a result of analysis of collected data, a total of 54 complaint-based data demands were suggested. Among those were 15 items including ‘impact of changes in seawater flow on water quality’ in the category of water environment; 13 items including ‘area of green buffer zone’ in atmospheric environment; 10 items including ‘impact of soundproof wall on wind corridor’ in living environment; 8 items including ‘expected number of users’ in socioeconomic environment, 4 items including ‘feasibility assessment of development site in terms of environmental and ecological aspects’ in natural ecological environment; and 4 items including ‘prediction of sediment runoff and damaged areas according to the increase in intensity and frequency of torrential rain’ in land environment. In future research, more systematic complaint collection and analysis as well as specific provision methods regarding stages, subjects, and forms of use should be sought to apply the derived data demands in the actual EIA process. It is expected that this study can serve to advance the prediction and assessment of EIA in the future and to minimize environmental impact as well as social conflict in advance.
ScienceON
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