Browse > Article

A Case Study on the Comparison and Assessment between Environmental Impact Assessment and Post-Environmental Investigation Using Principal Component Analysis  

Cho Il-Hyoung (Department of Environmental Health, School of Public Health, Seoul National University)
Kim Yong-Sup (New Town Development Division, Gyeonggi Innovation Corporation, Korea)
Zoh Kyung-Duk (Department of Environmental Health, School of Public Health, Seoul National University)
Publication Information
Journal of Environmental Health Sciences / v.31, no.2, 2005 , pp. 134-146 More about this Journal
Abstract
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, $PM_{10},\;NO_2$, 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.
Keywords
environmental impact assessment (EIA); post-environmental investigation; correlation analysis; principal component analysis (PCA);
Citations & Related Records
연도 인용수 순위
  • Reference
1 서영화, 조순행 : 침출수 분석 항목간의 상관관계분석과 주성분분석. 대한환경공학회,20(12),1705-1715,1998
2 김복현,이재형,이수환,윤조희. 주성분 분석에 의한 $A_{2}O$ 공볍의 처리성 평가. 한국보건환경학회지,18(2),67-74,1992
3 허명회,양경숙 : SPSS 다변량자료분석. SPSS 아카데미, 2004
4 최용석,정광모 : 실무자를 위한 Minitab 다변량 분석. 이레테크,2001
5 신성교,박청길,송교육 : 주성분 분석법을 이용한 낙동강 하구 해역의 수질평가. 한국환경과학회지, 7(2),171-176,1998
6 김임순 외 : 최신환경영향평가. 도서출판 동화기술,2003. 3
7 한상욱,최재용,이춘원,김임순,전숙진,한정희 : 환경영향평가 협의내용의 사후관리 합리화방안 연구. 환경영향평가학회,9(2),119-126, 2001
8 오광중,곽 진,정덕영,손건태 : 부산지역의 대기오염 물질농도와 기상인자간의 통계분석(광인리 지역을 중심으로). 대한환경공학회지,20(9),1235-1245,1998
9 정 용,박성은,양지연,김미경,신동천 :주성분 분석을 이용한 우리나라 6개 대도시 지역의 $PM_{10}$중 무기 물질의 발생원 평가. 한국대기환경학회 춘계학술대회 . 5,14-15,1999
10 유호식 : 한강수질에 영향을 끼치는 요인들의 통계분석. 대환경공학회, 24(12), 2139-2150,2002