주성분분석을 이용한 환경영향평가와 사후환경조사의 비교 및 평가에 관한 사례연구

• 영문명: A Case Study on the Comparison and Assessment between Environmental Impact Assessment and Post-Environmental Investigation Using Principal Component Analysis
• 발행기관: 한국환경보건학회
• 저자명: 조일형(Il-Hyoung Cho) 김용섭(Yong-Sup Kim) 조경덕 (Kyung-Duk Zoh)
• 간행물 정보: 『1. 한국환경보건학회지』제31권 제2호, 134~146쪽, 전체 13쪽
• 주제분류: 공학 > 환경공학
• 파일형태: PDF
• 발행일자: 2005.04.30

영문 초록

Environmental monitoring system has been adopted and supplemented as inspection measures for the quantitative and qualitative changes of environmental impact assessment (EIA). This study compares the results of environmental impact assessment with the results of post-environmental investigation using a correction and principal component analysis (PCA) in the housing development project. Correlation analysis showed that most of air quality variables including TSP, PM10, NO2, CO were linearly correlated with each other in the environmental impact assessment and the post-environmental investigation. In the water quality, pH and BOD were well correlated with the DO and SS, respectively. As a result of correlation analysis in the noise and vibration, noise in day and night and vibration in day and night were related to each other between EIA and the post-environmental investigation. From the results of analysis of soil, Cu with Cd, Cu with Pb, and Cd with Pb were related to each other in EIA. Principal component analysis (PCA) showed a powerful pattern recognition that had attempted to explain the variance of a large dataset of inter-correlated variable with a smaller set of independent variables (principal components). Principal component (PC1) and principal component (PC2) were obtained with eigenvalues>1 summing almost 90% of the total variance in the all of the items(air, water, noise, vibration and soil) in EIA and post-environmental investigation

목차

Ⅰ. 서론

Ⅱ. 연구방법

Ⅲ. 결과 및 고찰

Ⅳ. 결론

키워드

environmental impact assessment (EIA) post-environmental investigation correlation analysis principal component analysis (PCA)