scholarly journals Assessing the Usefulness of the Automated Monitoring Systems ECOTOX and DaphniaTox in an Integrated Early-Warning System for Drinking Water

2021 ◽  
Author(s):  
Isabelle Netto
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Visual Observation ◽  
Automated System ◽  
Monitoring Systems ◽  
Aquatic Macroinvertebrate ◽  
Macroinvertebrate Species

This study assesses the suitability of the behavioural image analysis systems ECOTOX and Daphnia Tox for inclusion in an integrated early-warning system for drinking water quality to be implemented in Canada. Results of behavioural parameters measured by ECOTOX using Euglena gracilis are compared to visual observations of E. gracilis behaviour after exposure to atrazine, tributyltin, and copper to determine the automated system's sensitivity. The usability of the Daphnia Tox automated system is assessed using the aquatic macroinvertebrate species Daphnia magna and Hyalella azteca. The possible use of the rotifers Brachionus calyciflorus and Brachionus havanensis with the ECOTOX system is also assessed. Findings indicate that at the present state ECOTOX and DaphniaTox are not suitable for inclusion in an early-warning system, but based on visual observation the parameters measured are sensitive to the contaminants tested and consistent, and with suggested modifications these systems have the potential to be fitting additions in an early-warning system.

scholarly journals Assessing the Usefulness of the Automated Monitoring Systems ECOTOX and DaphniaTox in an Integrated Early-Warning System for Drinking Water

2021 ◽  
Author(s):  
Isabelle Netto
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Visual Observation ◽  
Automated System ◽  
Monitoring Systems ◽  
Aquatic Macroinvertebrate ◽  
Macroinvertebrate Species

This study assesses the suitability of the behavioural image analysis systems ECOTOX and Daphnia Tox for inclusion in an integrated early-warning system for drinking water quality to be implemented in Canada. Results of behavioural parameters measured by ECOTOX using Euglena gracilis are compared to visual observations of E. gracilis behaviour after exposure to atrazine, tributyltin, and copper to determine the automated system's sensitivity. The usability of the Daphnia Tox automated system is assessed using the aquatic macroinvertebrate species Daphnia magna and Hyalella azteca. The possible use of the rotifers Brachionus calyciflorus and Brachionus havanensis with the ECOTOX system is also assessed. Findings indicate that at the present state ECOTOX and DaphniaTox are not suitable for inclusion in an early-warning system, but based on visual observation the parameters measured are sensitive to the contaminants tested and consistent, and with suggested modifications these systems have the potential to be fitting additions in an early-warning system.

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.

Analysis and prediction of eutrophication for advanced warning of the water quality concerns in Gaoyou Lake

2019 ◽  
Vol 20 (1) ◽  
pp. 186-196
Author(s):  
Lei Zhang ◽  
Yu Cheng ◽  
Yulong Niu ◽  
Jiahu Jiang
Keyword(s):  
Water Quality ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Principal Component ◽  
Scientific Basis ◽  
Contribution Rate ◽  
Increasing Trend ◽  
Trophic Level Index

Abstract This paper used the trophic level index (TLI) method combined with the relevant data from 2014 to 2017 to evaluate the water quality of Gaoyou Lake. Meanwhile, based on principal component analysis (PCA) and multiple linear regression (MLR) models on chlorophyll a (Chla), this research developed predictions and an early warning scheme for eutrophication in Gaoyou Lake. The results showed the following: 1. The TLI of Gaoyou Lake showed a significant increasing trend, and the lake was in the state of light to moderate eutrophy. 2. According to the PCA eigenvalues that were greater than 1, principal components (PCs) with a cumulative contribution rate of 76.04% were obtained, and a linear model was further obtained: CChla = 6.146 + 1.209 (Score 1) + 0.583 (Score 2) + 1.095 (Score 3). 3. The credibility of the early warning system reached 75%, which met the requirements of this study. This study provides a scientific basis for the control of eutrophication and improvement of water quality.

Hydrology across disciplines: the experience of a Public Hydrological Service in Italy

2021 ◽  
Author(s):  
Giuseppe Ricciardi ◽  
Alessandro Allodi ◽  
Fabio Bordini ◽  
Monica Branchi ◽  
Francesco Cogliandro ◽  
...  
Keyword(s):  
Climate Change ◽  
Water Management ◽  
Drinking Water ◽  
Climate Change Adaptation ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Flood Management ◽  
Water Protection ◽  
Solid Transport

<p>Water is very important for human consumption, production and services and also for inspiration, recreation, landscapes, ecosystems and wild life. UN and EU policies highlights the interaction of historical scientific, economic, societal and environmental factors and the linkage of water policies with biodiversity protection and Climate Change adaptation.  According to the European Green Deal (2019), for a fair and prosperous society, with a modern, resource-efficient and competitive economy working across sectors and disciplines, will be needed, also involving local communities. Moreover Political and management processes may take benefits from specific participatory Tools.</p><p>The Emilia-Romagna Regional Agency for Prevention, Environment and Energy (Arpae) helps sustainability developing  actions for water protection, water use, flood management and education to sustainability.  </p><p>Arpae Hydrological Service (HS) supports flood management and water management, as also design and management of hydraulic structures, through the Flood Early Warning System FEWS and  the Drought Early Warning System DEWS. Arpae HS also collect and publish hydrological time series (water, solid transport) and stage-discharge equations.</p><p>Within FP7 Enhance (2017) multi risk analysis and Public Private Partnership (PPPs) experiences were supported by  modeling tools combining flood /earthquake/Climate Change scenarios in a densely populated, highly developed land reclamation territory. An Application of the System for Economic and Environmental Accounting for Water (UN SEEA -Water) was developed in 2017. Within Interreg Proline-CE (2019), the FEWS and DEWS Systems, respectively supporting the Flood Forecasting Center and the Observatory on Water Uses, were proposed as Best Management Practices (BMPs) for land and water management useful for drinking water protection. BMPs where tested through workshops, questionnaires,  meetings and technical visits, useful for dissemination and  stakeholders involvement. H2020 Clara was useful to experience co-design/co-development approaches, to explore market segments and business models for water knowledge and climate services, and to set dedicated Policy Briefs for Water and Climate Change Adaptation; Arpae HS developed a set of modeling services  (Clara PWA) related to water management, solid transport, water quality and habitat availability, useful to understand the  influenced of climate change and the needs and proposal coming from market and  the institutions. Interreg boDEREC-CE is a current project on pharmaceutical and personal care pollutants (PPCPs), aimed at developing tools and strategies for protection of drinking water, water ecosystems and public health from pollution, bacterial resistance, toxicity and pathogens.</p><p>Arpae HS through these experiences has gained awareness of the inter linkage of hydrology with other sectors (economy, Earth sciences, ICT, health, ecology, society) and of the importance of developing specific decision support tools maximizing stakeholder participation, societal dissemination, transparency, education to sustainability and experts involvement.</p>

Research and Application of Real-Time Remote Monitoring and Early Warning System of Source Water Quality

2013 ◽  
Vol 779-780 ◽  
pp. 1408-1413
Author(s):  
Shu Yuan Li ◽  
Jian Hua Tao ◽  
Lei Yu
Keyword(s):  
Water Quality ◽  
Real Time ◽  
Early Warning ◽  
Remote Monitoring ◽  
Early Warning System ◽  
Warning System ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
The Real ◽  
Monitoring And Early Warning

Drinking water sources play an important role in assurance of life safety, normal production and social stability. In this paper, a real-time remote water quality monitoring and early warning system has been developed. The paper concentrates on the system architecture and key techniques of the real-time water quality monitoring and early warning. The implementation of the system by advanced water quality sensor techniques, wireless transmission, databases and water quality modeling is retraced in detail. It can be applied to the real-time remote monitoring of water quality and decision support for water pollution incidents.

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