Development of on-site fish exposure system placed in water quality monitoring stations along a river

2005 ◽  
Vol 52 (12) ◽  
pp. 275-282 ◽  
Author(s):  
T. Higashitani ◽  
K. Miyajima ◽  
N. Nakada ◽  
M. Yasojima ◽  
H. Tanaka ◽  
...  

Estrogen-like substances have been suspected to cause feminization of wild fish in rivers in Japan. To elucidate the influence of estrogen-like substances on fish in river, we have started to develop the on-site continuous fish exposure system using medaka Oryzias latipes that were placed in water quality monitoring stations along a river. Adult male medaka were exposed to the river water in a glass exposure tank placed in the monitoring stations. Flow rate of water and water temperature were controlled at 30L/hour and 26°C respectively, and a light: dark cycle was maintained 16:8 hours. A commercial diet free from phyto-estrogens was fed 4 times in a day using automatic feeder. After 2-week exposure, hepatic vitellogenin concentration of each male medaka was measured. The exposure tests were repeatedly performed at both the upstream and the downstream of sewage treatment plants along the River Tama which is a representative urbanized river in Japan. At the control site Haijimabashi monitoring station, vitellogenin was not detected in male medaka. On the other hand, at the Ishihara monitoring station which is the most downstream in this test area, every male medaka were produced vitellogenin in the test performed in the spring of 2004. As the results of the water quality analysis, it could be inferred that the estrone derived from effluents of sewage treatment plants caused the feminization of male medaka. The reason why the concentrations of the estrone and the estrogenic activity using DNA recombinant yeast varied in proportion to the electric conductivity of river water measured at the water quality monitoring station. Furthermore, after continuous 2-week exposure, the vitellogenin production of male medaka was reduced similar to the decrease of the concentrations of the estrone and the estrogenic activity of river water.

2006 ◽  
Vol 4 (2) ◽  
pp. 91-100
Author(s):  
Dj. Djordjevic ◽  
D. Milicevic ◽  
B. Velickovic ◽  
G. Gruber ◽  
H. Kainz ◽  
...  

The overall objective of this project is the immediate enhancement of the water quality management in Serbia as an example of excellence for the South East Balkan region. Therefore, close links between the local and regional economy and the Serbian Higher Education sector will be created through technology and knowledge transfer. New technologies like GPRS Technology to realize data transfer from distance hydro measure stations will be introduced in the water quality monitoring management. Outcomes of the project are a measurement program for Advanced River Water Quality Monitoring, a pilot station and operator staff for the realization of the monitoring scheme devices including GPRS-Technology for the monitoring scheme, a monitoring station to conduct a test run, a quality management scheme, training measures for operators of monitoring stations, analyzed data from measurement program and dissemination and networking measures like a final international conference. The project is funded within the scope of the Tempus Program (Tempus Cards Structural and Complementary Projects) of the EU.


2021 ◽  
Vol 35 (2) ◽  
pp. 79
Author(s):  
Sergio Diaz ◽  
Andres Molano ◽  
Christian Erazo ◽  
Juan C. Monroy

2014 ◽  
Vol 72 (12) ◽  
pp. 4745-4756 ◽  
Author(s):  
Nina Hagemann ◽  
Bernd Klauer ◽  
Ruby M. Moynihan ◽  
Marco Leidel ◽  
Nicole Scheifhacken

Water ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 2411
Author(s):  
Seulbi Lee ◽  
Jaehoon Kim ◽  
Jongyeon Hwang ◽  
EunJi Lee ◽  
Kyoung-Jin Lee ◽  
...  

It is essential to monitor water quality for river water management because river water is used for various purposes and is directly related to the health and safety of a population. Proper network installation and removal is an important part of water quality monitoring and network operation efficiency. To do this, cluster analysis based on calculated similarity between measuring stations can be used. In this study, we measured the similarities between 12 water quality monitoring stations of the Bukhan River. River water quality data always have a station-dependent time lag because water flows from upstream to downstream; therefore, we proposed a Dynamic Time Warping (DTW) algorithm that searches for the minimum distance by changing and comparing time-points, rather than using the Euclidean algorithm, which compares the same time-point. Both Euclidean and DTW algorithms were applied to nine water quality variables to identify similarities between stations, and K-medoids cluster analysis were performed based on the similarity. The Clustering Validation Index (CVI) was used to select the optimal number of clusters. Our results show that the Euclidean algorithm formed clusters by mixing mainstream and tributary stations; the mainstream stations were largely divided into three different clusters. In contrast, the DTW algorithm formed clear clusters by reflecting the characteristics of water quality and watershed. Furthermore, because the Euclidean algorithm requires the lengths of the time series to be the same, data loss was inevitable. As a result, even where clusters were the same as those obtained by DTW, the characteristics of the water quality variables in the cluster differed. The DTW analysis in this study provides useful information for understanding the similarity or difference in water parameter values between different locations. Thus, the number and location of required monitoring stations can be adjusted to improve the efficiency of field monitoring network management.


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