@article{ART002498697},
author={윤혜영 and Jeehyun Kim and Min-Hee Chae and 조윤해 and 천새억},
title={Assessment of water quality in the Miho stream using Multivariate statistics},
journal={Journal of Environmental Impact Assessment},
issn={1225-7184},
year={2019},
volume={28},
number={4},
pages={373-386}
TY - JOUR
AU - 윤혜영
AU - Jeehyun Kim
AU - Min-Hee Chae
AU - 조윤해
AU - 천새억
TI - Assessment of water quality in the Miho stream using Multivariate statistics
JO - Journal of Environmental Impact Assessment
PY - 2019
VL - 28
IS - 4
PB - Korean Society Of Environmental Impact Assessment
SP - 373
EP - 386
SN - 1225-7184
AB - In The study, is to investigate the spatial characteristics of the Miho stream, which is the main tributary of the Geum River system, and to identify the main factors influencing the water quality using water quality analysis and multivariate analysis. The survey subjects were selected as 7 main sites in the Miho stream water system, From 2012 to 2017, 16 items including weather temperature and weather data were used for multivariate analysis.
As a result of the water quality analysis, the average concentration of BOD and COD for 6 years was 3grade (normal) compared with the water quality environmental standard (river) of conditions. The concentrations of nitrogen and phosphorus were highest at th upstream site, then decreased and then increased again by the hydrogeological and geomorphological effect. Cluster analysis of spatial and water quality characteristics, it was evaluated as three clusters and the pollution sources is the greatest impact. As a result of principal component analysis and factor analysis on each cluster and mainstream, three to four major components were extracted. Main stream and the Cluster 1, Cluster 3 first principal factor included nitrogen and seasonal factors, first factor of Cluster 2 included nitrogen and water temperature. Nitrogen is the principal factor which affects water quality in Miho stream.
KW - Cluster Analysis;Factor Analysis;Miho Stream;Pollution Source;Nitrogen;Water temperature
DO -
UR -
ER -
윤혜영, Jeehyun Kim, Min-Hee Chae, 조윤해 and 천새억. (2019). Assessment of water quality in the Miho stream using Multivariate statistics. Journal of Environmental Impact Assessment, 28(4), 373-386.
윤혜영, Jeehyun Kim, Min-Hee Chae, 조윤해 and 천새억. 2019, "Assessment of water quality in the Miho stream using Multivariate statistics", Journal of Environmental Impact Assessment, vol.28, no.4 pp.373-386.
윤혜영, Jeehyun Kim, Min-Hee Chae, 조윤해, 천새억 "Assessment of water quality in the Miho stream using Multivariate statistics" Journal of Environmental Impact Assessment 28.4 pp.373-386 (2019) : 373.
윤혜영, Jeehyun Kim, Min-Hee Chae, 조윤해, 천새억. Assessment of water quality in the Miho stream using Multivariate statistics. 2019; 28(4), 373-386.
윤혜영, Jeehyun Kim, Min-Hee Chae, 조윤해 and 천새억. "Assessment of water quality in the Miho stream using Multivariate statistics" Journal of Environmental Impact Assessment 28, no.4 (2019) : 373-386.
윤혜영; Jeehyun Kim; Min-Hee Chae; 조윤해; 천새억. Assessment of water quality in the Miho stream using Multivariate statistics. Journal of Environmental Impact Assessment, 28(4), 373-386.
윤혜영; Jeehyun Kim; Min-Hee Chae; 조윤해; 천새억. Assessment of water quality in the Miho stream using Multivariate statistics. Journal of Environmental Impact Assessment. 2019; 28(4) 373-386.
윤혜영, Jeehyun Kim, Min-Hee Chae, 조윤해, 천새억. Assessment of water quality in the Miho stream using Multivariate statistics. 2019; 28(4), 373-386.
윤혜영, Jeehyun Kim, Min-Hee Chae, 조윤해 and 천새억. "Assessment of water quality in the Miho stream using Multivariate statistics" Journal of Environmental Impact Assessment 28, no.4 (2019) : 373-386.
