Industrial Operation of the Biological Early Warning System BioArgus for Water Quality Control Using Crayfish as a Biosensor

2021 ◽  
pp. 127-145
Author(s):  
Sergey V. Kholodkevich ◽  
Tatiana V. Kuznetsova ◽  
Svetlana V. Sladkova ◽  
Anton S. Kurakin ◽  
Alexey V. Ivanov ◽  
...  
Keyword(s):  
Water Quality ◽  
Quality Control ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Water Quality Control ◽  
Industrial Operation ◽  
Biological Early Warning System

The “Dreissena-Monitor” – First Results on the Application of this Biological Early Warning System in the Continuous Monitoring of Water Quality

1994 ◽  
Vol 29 (3) ◽  
pp. 199-201 ◽  
Author(s):  
Jost Borcherding ◽  
Markus Volpers
Keyword(s):  
Water Quality ◽  
Early Warning ◽  
Early Warning System ◽  
Dreissena Polymorpha ◽  
Continuous Monitoring ◽  
Warning System ◽  
Small Rivers ◽  
First Results ◽  
Biological Early Warning System ◽  
High Degree

The “Dreissena-Monitor” is a biological early warning system used in the continuous monitoring of water quality. The system is based on a computer assessment of valve movements in two groups of up to 42 zebra mussels (Dreissena polymorpha). Every 5 minutes, the percentage of open mussels and the average number of valve movements per mussel are calculated to describe the activity behaviour of the mussels. Rapid changes in both parameters normally reflect the onset of stress. More than 5½ years of experience in the continuous monitoring of water quality have revealed (1) that the “Dreissena-Monitor” is suited to large rivers like the Rhine as well as small rivers like the Erft or Ruhr, (2) that a lack of technical interruptions guarantees reliable, unattended operation, (3) that normally less than 3 hours of weekly maintenance are required, (4) that the validity check of the primary measurements was capable of identifying dead mussels and poorly aligned measurement components, (5) that the system can operate under unfavourable conditions (e.g. temperatures below 5° C), (6) that mortality rates were low and correlated positively with temperature, and (7) that the alarm thresholds provided a high degree of statistical security.

New Design for Water Quality Early Warning System

2012 ◽  
pp. 681-685
Author(s):  
Tian Jing ◽  
Zheng Shuyin ◽  
Zhang Guangxin ◽  
Hou Dibo ◽  
Huang Pingjie ◽  
...  
Keyword(s):  
Water Quality ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System

Developing a knowledge-based early warning system for fish disease/health via water quality management

2009 ◽  
Vol 36 (3) ◽  
pp. 6500-6511 ◽  
Author(s):  
Nan Li ◽  
Ruimei Wang ◽  
Jian Zhang ◽  
Zetian Fu ◽  
XiaoShuan Zhang
Keyword(s):  
Water Quality ◽  
Quality Management ◽  
Early Warning ◽  
Early Warning System ◽  
Water Quality Management ◽  
Warning System ◽  
Fish Disease ◽  
Knowledge Based

scholarly journals Early Warning System and Monitoring of River Water Quality Based on Internet of Things

2021 ◽  
Vol 3 (1) ◽  
pp. 42-58
Author(s):  
Vito Hafizh Cahaya Putra ◽  
Mokhamad Hendayu ◽  
Purnomo Yustianto
Keyword(s):  
Water Quality ◽  
Internet Of Things ◽  
River Water ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
River Water Quality ◽  
The Internet ◽  
Acceptance Test ◽  
Average Value

River conditions in Bandung City are currently in critical condition. This study aims to create an early warning system and monitoring of river water quality based on the Internet of Things in the hope that early warnings sent through the telegram application belonging to the Bandung City DLHK officer and the Twitter social media website, can inform the Bandung City DLHK officer that a river is in a polluted condition and the officer can immediately go to the location of river water to carry out mitigation, and give warnings to the community. The research method used using the waterfall method which consists of: needs analysis, system design, implementation, testing, and maintenance with sequential implementation. Data collection methods were carried out in several ways, namely: interviews, giving questionnaires, and literature studies used in this study sourced from books, journals, seminar presentations, and the internet as references in the research conducted. Based on the research that has been carried out, the following test results are obtained: black box testing is carried out in accordance with those contained in the test plan with the results of each test having valid results. The results obtained from the user acceptance test which are calculated using the Likert scale have an average value of 86.94% which fall into the category of strongly agree, and there are three guidelines which are a follow-up to the output of the early warning system that can be carried out either by the Environmental Service. and Cleanliness (DLHK) of Bandung City and the community.

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