• 제목/요약/키워드: Suyong river

검색결과 8건 처리시간 0.024초

수영강의 수영천 및 석대천의 저서성 대형무척추동물의 부수성에 따른 월별 군집 변이 (Monthly Changes in Benthic Macroinvertebrate Communities in Different Saprobities in the Suyong and Soktae Streams of the Suyong River)

  • Kang Da Hyeung;Tae-Soo Chon;Young-Seuk Park
    • The Korean Journal of Ecology
    • /
    • 제18권1호
    • /
    • pp.157-177
    • /
    • 1995
  • Monthly changes in communities of benthic macroinvertebrates collected in the Suyong and Soktae stream of the Suyong river were investigated from September 1993 to August 1994. The total number of species collected during the study period ranged from seven to seventy six species according to pollution levels at the study sites. Monthly changes in species richness appeared differently in different taxonomic assemblages. In chironomids differences in species richness responding to different levels of saprobity were shown consistently as time proceeded. In Ephemeroptera species richness at the relatively clean sites responded sensitively to slight enrichment. In connection with species richness the monthly changes in densities in taxonomic assemblages also appeared to effectively represent environmental impacts. Species diversity generally represented the pollution status also, however the monthly variations at the study sites appeared to be relatively high. The clustering analysis showed that the communities collected at polluted sites were grouped closely, and the communities collected at the relatively clean sites were clustered to the same stream although the degree of community association was low, Through the Principal Component Analysis, the impact of Pollution was reflected in a great degree in overall community variations.

  • PDF

Pattern Recognition of Long-term Ecological Data in Community Changes by Using Artificial Neural Networks: Benthic Macroinvertebrates and Chironomids in a Polluted Stream

  • Chon, Tae-Soo;Kwak, Inn-Sil;Park, Young-Seuk
    • The Korean Journal of Ecology
    • /
    • 제23권2호
    • /
    • pp.89-100
    • /
    • 2000
  • On community data. sampled in regular intervals on a long-term basis. artificial neural networks were implemented to extract information on characterizing patterns of community changes. The Adaptive Resonance Theory and Kohonen Network were both utilized in learning benthic macroinvertebrate communities in the Soktae Stream of the Suyong River collected monthly for three years. Initially, by regarding each monthly collection as a separate sample unit, communities were grouped into similar patterns after training with the networks. Subsequently, changes in communities in a sequence of samplings (e.g., two-month, four-month, etc.) were given as input to the networks. After training, it was possible to recognize new data set in line with the sampling procedure. Through the comparative study on benthic macroinvertebrates with these learning processes, patterns of community changes in chironomids diverged while those of the total benthic macro-invertebrates tended to be more stable.

  • PDF

수영만에 유입된 담수의 체류시간과 그 계절적 변동 특성 (A Study on the Seasonal Variations of Fresh Water Distribution and Flushing Time in Suyoung Bay)

  • 이병걸;조규대;김동선
    • 수산해양기술연구
    • /
    • 제27권3호
    • /
    • pp.170-177
    • /
    • 1991
  • 수영만으로 유입되는 수영강수에 의한 하구의 물리적인 특성을 밝히기 위하여 1989년 5월부터 1990년 4월까지 월별로 관측된 염분 자료와 Officer(1977)가 제안한 식을 이용하여 담수량 및 그 체류 시간을 계산하였다. 그 결과, 수평적으로는 수영만의 동백섬을 기준으로 수영강과 접하고 있는 만 안쪽으로 저염화가 강하게 나타나고 연직적으로는 강 혼합과 부분 혼합의 특징이 나타났다. 그리고 수영강을 중심으로 광안리 쪽이 해운대쪽보다 높은 담수율을 나타내었다. 그리고 거리에 따른 담수율의 분포 특성을 알아보기 위하여 수영강에서 외해쪽으로 6개 정점에서 각각 계산한 담수율을 각각의 최대치로 나누어 계절별로 정규화한 결과 담수율이 지수함수적으로 감소하였다. 추계에는 정점C3를 기준으로 감소율이 다른 계절에 비해 현저히 떨어졌는데, 이것은 성층에 기인한 것으로 보인다. 그리고 앞에서 구한 담수율을 이용하여 수영강에서 유입되는 담수의 체류시간을 계산한 결과, 약 1.3일인 하계를 제외하고 나머지 계절은 약 10~15일 정도임이 밝혀져 하계가 다른 계절이 비하여 담수의 순환이 빠름을 알 수 있었다.

  • PDF

해안도시 지역에서 증발산량 산정에 토지이용도와 기상인자의 영향성 (Influence of Land Use and Meteorological Factors for Evapotranspiration Estimation in the Coastal Urban Area)

  • 양성일;강동환;권병혁;김병우
    • 한국환경과학회지
    • /
    • 제19권3호
    • /
    • pp.295-304
    • /
    • 2010
  • Actual evapotranspiration (AET) in the Suyeong-gu was estimated and correlations between AET and meteorological factors were analyzed. The study area was Suyeong-gu lay at the east longitude $129^{\circ}$ 05' 40" ~ 129$^{\circ}$ 08' 08" and north latitude $35^{\circ}$ 07' 59" ~ $35^{\circ}$ 11' 01". The Kumryun mountain, the Bae mountain, the Suyeong river and the Suyeong bay are located on west, north, northeaster and south side in the study area, respectively. AET was estimated using precipitation (P), potential evapotranspiration (PET) and plant-available water coefficient. Meteorological factors to estimate PET were air temperature, dewpoint temperature, atmospheric pressure, duration of sunshine and mean wind speed (MWS). PET and AET were estimated by a method of Allen et al. (1998) and Zhang et al. (2001), respectively. PET was the highest value (564.45 mm/yr) in 2002 year, while it was the lowest value (449.95 mm/yr) in 2003 year. AET was estimated highest value (554.14 mm/yr) in 2002 year and lowest value (427.91 mm/yr) in 2003 year. Variations of PET and AET were similar. The linear regression function of AET as PET using monthly data was AET=0.87$\times$PET+3.52 and coefficient of determination was high, 0.75. In order to analyze relationship between the evapotranspiration and meteorological factors, correlation analysis using monthly data were accomplished. Correlation coefficient of AET-PET was 0.96 high, but they of AET-P and PET-P were very low. Correlation coefficients of AET-MWS and PET-MWS were 0.67 and 0.73, respectively. Thus, correlation between evapotranspiration and MWS was the highest among meteorological factors in Suyong-gu. This means that meteorological factor to powerfully effect for the variation of evapotranspiration was MWS. The linear regression function of AET as MWS was AET=84.73$\times$MWS+223.05 and coefficient of determination was 0.54. The linear regression function of PET as MWS was PET=83.83$\times$MWS+203.62 and coefficient of determination was 0.45.