• 자원리싸이클링
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• 제26권2호
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• pp.80-88
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• 2017

전 세계적으로 매년 증가하는 발전회의 매립을 위한 부지는 현저히 부족한 실정이며, 이를 재활용 하는 방안에 관한 연구는 지금까지 활발히 진행 중이다. 또한, 휴 폐광산의 갱구, 폐석 더미, 지하공동에서 발생하는 다양한 광해는 심각한 인명피해 및 환경오염을 일으킨다. 따라서 본 연구에서는 국내 석탄, 금속, 석회석 광산에서 발생하는 AMD (Acid Mine Drainage), 지반침하 등의 광해방지에서 발전회의 활용 가능성에 대한 연구를 수행하였다. 발전회는 그 물리화학적인 특성에 따라 AMD 중화, 노천광산에서의 차폐재, 지하광산의 채움재 및 토양 개량제로써 활용할 수 있으며, 미국, 호주, 일본, 캐나다 등의 국외에서는 관련 지침을 마련하여 현장 적용사례가 충분히 확보된 상태이다. 하지만 국내의 경우 현장 적용을 위한 몇몇 연구들은 수행돼 왔지만, 현재 발전회를 사업장폐기물로 분류하고 있기 때문에 현장 적용사례가 미흡하며, 이와 관련된 연구도 부족한 실정이다. 따라서 국내에서도 국외의 관련 선행 적용사례들을 참고하여 광해방지사업에서 발전회의 활용을 위한 구체적인 기준 및 관리체계가 필요할 것이다.

• 한국환경복원기술학회지
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• 제24권5호
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• pp.1-14
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• 2021

Excessive development and urbanization have destroyed animal, plant, habitats and reduced biodiversity. In order to preserve species diversity, habitat prediction studies are have been conducted at home and overseas using various modeling techniques. This study was conducted to suggest optimal habitat modeling research by comparing HSI and MaxEnt, which are widely used among habitat modeling techniques. The study was targeted on the endangered species of Prionailurus bengalensis in nearby areas (5460.35km2) including Cheonan City, and the same data were used for analysis to compare those models. According to the HSI analysis, Prionailurus bengalensis's habitat probability was 74.65% for less than 0.5 and 25.34% for more than 0.5 and the top 30% were forest (99.07%). MaxEnt's analysis showed that 56.22% of those below 0.5 and 43.79% of those above 0.5 were found to have a high explanatory power of 78.3% of AUC. The Paired Wilcoxn test, which evaluated the significance of thoes models, confirmed that the mean difference between the two models was statistically significant (p<0.05). Analysis of the differences in the results of those models using the matrix table shows that score 24.43% HSI and MaxEnt was accordance,12.44% of the 0.0 to 0.2 section, 7.22% of the 0.2 to 0.4 section, 2.73% of the 0.4 to 0.6 section, 1.96% of the 0.6 to 0.8, and 0.08% of the 0.9 to 1.0. To verify where the score difference appears, the result values of those models were reset to values from 1 to 5 and overlaid. Overlapping analysis resulted in 30.26% of the Strongly agree values, 56.77% of the agree values, and 11.92% of the Disagree values. The places where the difference in scores occurs were analyzed in the order of forest (45.23%), agricultural land (34.57%), and urbanization area (7.65%). This confirmed that the analysis of the same target species within the same target site also has differences in forecasts depending on the modelling method. Therefore, a novel analysis method combining the advantages of each modeling in habitat prediction studies should be developed, and future study may be used to select Prionailurus bengalensis and species-protected areas and species protection areas in the future. Further research is judged to require higher accuracy studies through the use of various modeling techniques and on-site verification.