The Journal of
the Korean Society on Water Environment

The Journal of
the Korean Society on Water Environment

Bimonthly
  • ISSN : 2289-0971 (Print)
  • ISSN : 2289-098X (Online)
  • KCI Accredited Journal

Editorial Office

Title Statistical Relations between Benthic Macroinvertebrate Distribution and Water Quality at Pungyeongjeong Stream in the Urban Region
Authors 윤상훈 ( Sang-hoon Yoon ) ; 양윤철 ( Yoon-cheol Yang ) ; 서광엽 ( Gwang-yeob Seo ) ; 조영관 ( Young-gwan Cho )
DOI https://doi.org/10.15681/KSWE.2018.34.2.164
Page pp.164-172
ISSN 2289-0971
Keywords Distribution; Macroinvertebrate; Statistical analysis; Urban stream; Water quality
Abstract This study aims to determine the community patterns of benthic macroinvertebrates and analyze the relationship between the communities and the water quality in the Pungyeongjeong Stream. We collected the samples four times by season. The number of species was 28 and the dominant species were Cheumatopsyche brevilineata, Hydropsyche kozhantschikovi, Baetis fuscatus, Chironomidae spp., and so on. The range of the dominant index was 0.54 to 0.93 and the mean was 0.77. The range of the diversity index was 0.94 to 2.54, and of the mean index it was 1.75. The ratio of filtering-collectors and clingers got lower, but the ratio of gathering-collectors and sprawlers got higher as collection progressed from the upper stream to the lower stream. The results of the Pearson correlation analysis showed COD, SS, TOC and total coliforms were highly related with biotic indices of benthic macroinvertebrates. The results of cluster analysis and non-metric multidimensional scaling ordination showed that the survey sites and periods were divided into three groups. The survey sites were divided into upper stream and middle-lower stream. The survey periods were divided into winter season and other seasons. Distribution of benthic macroinvertebrates showed some characteristics according to various influence factors; however long-term and regular investigations were thought to need analysis and prediction with various statistical methods.