• Title/Summary/Keyword: Sunam stream

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Infection status of Pseudorasbora parva collected from the Sunam stream with metacercariae of Metorchis orientalis (낙동강 하류산 참붕어의 Metorchis orientalis 피낭유충 감염상)

  • 손운목
    • Parasites, Hosts and Diseases
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    • v.29 no.3
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    • pp.311-313
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    • 1991
  • This study revealed the infection status of p. larva with the metacercariae of M. orientalis in the Sunam stream of the Nakdong River, a well-known focus of Clonorchis sinensis. A total of 60 P larva were divided into :l groups by the size (80~90, 70~79, 60~69 and 50~59 mm) and were digested by pepsin-HCI solution in a $36^{\circ}C$ incubator. The metacercariae of M orientalis were collected and counted under a stereomicroscope. A total of 3,885 metacercariae were found, and average number/fish in each group were 143, 54, 23 and 40. They were $175.3{\times}155.4{\;}{\mu\textrm{m}}$ in average size and had thick cyst wall($13.1{\;}{\mu\textrm{m}}$ in average), By the results, it is proved that the life cycle of M. orientalis is actively maintained in the Sunam stream of the Nakdong River.

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Development of Flood Runoff Forecasting System by using Artificial Neural Networks - Development & Application of GUI_FFS - (인공신경망 이론을 이용한 홍수유출 예측 시스템 개발 - GUI_FFS 개발 및 적용 -)

  • Park, Sung-Chun;Oh, Chang-Ryol;Kim, Dong-Ryeol;Jin, Young-Hoon
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.26 no.2B
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    • pp.145-152
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    • 2006
  • In the present study, a nonlinear model of rainfall-runoff process using Artficial Neural networks(ANNs) which have no consideration on the physical parameter for the basin was developed at Naju station which is the main stream of Yeongsan-river, and Sunam station which is the main stream of Hwangryong-river. The result from the model of ANN_NJ_9 at the Naju station revealed the best result of the rainfall-runoff process, while the model of ANN_SA_9 for the Sunam station. Also, GUI_FFS developed in the research showed the $R^2$ of more than 0.98 between the observed and predicted values using the rainfall and runoff in the respective stations. Therefore, the GUI_FFS might be expected that it can play a role for the high reliability to operate and manage the water resources and the design of river plan more efficiently in the future.