scholarly journals Autogenous Eutrophication, Anthropogenic Eutrophication, and Climate Change: Insights from the Antrift Reservoir (Hesse, Germany)

Soil Systems ◽  
2020 ◽  
Vol 4 (2) ◽  
pp. 29 ◽  
Author(s):  
Collin J. Weber ◽  
Christoph Weihrauch
Keyword(s):  
Climate Change ◽  
Water Quality ◽  
Surface Waters ◽  
Temporal Dynamics ◽  
Mitigation Strategies ◽  
Monitoring And Control ◽  
Algae Blooms ◽  
And Control ◽  
Geochemical Constraints ◽  
P Desorption

Climate change is projected to aggravate water quality impairment and to endanger drinking water supply. The effects of global warming on water quality must be understood better to develop targeted mitigation strategies. We conducted water and sediment analyses in the eutrophicated Antrift catchment (Hesse, Germany) in the uncommonly warm years 2018/2019 to take an empirical look into the future under climate change conditions. In our study, algae blooms persisted long into autumn 2018 (November), and started early in spring 2019 (April). We found excessive phosphorus (P) concentrations throughout the year. At high flow in winter, P desorption from sediments fostered high P concentrations in the surface waters. We lead this back to the natural catchment-specific geochemical constraints of sediment P reactions (dilution- and pH-driven). Under natural conditions, the temporal dynamics of these constraints most likely led to high P concentrations, but probably did not cause algae blooms. Since the construction of a dammed reservoir, frequent algae blooms with sporadic fish kills have been occurring. Thus, management should focus less on reducing catchment P concentrations, but on counteracting summerly dissolved oxygen (DO) depletion in the reservoir. Particular attention should be paid to the monitoring and control of sediment P concentrations, especially under climate change.

scholarly journals IoT for Monitoring and Control of Water Quality Parameters

2020 ◽  
Vol 14 (16) ◽  
pp. 4
Author(s):  
Fouzi Lezzar ◽  
Djamel Benmerzoug ◽  
Ilham Kitouni
Keyword(s):  
Water Quality ◽  
Water Quality Monitoring ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Monitoring And Control ◽  
Cloud Processing ◽  
Data Collection Process ◽  
Standard Values ◽  
Processing And Storage ◽  
And Control

<p class="0abstract"><span lang="EN-US">This work presents an Internet of Things (IoT) solution to facilitate real time water quality monitoring by enabling the management of collected data from electronic sensors. Firstly, we present in detail problems encountered during the used data collection process. We discuss after the requirements from the water monitoring quality standpoint, data acquisition, cloud processing and data visualization to the end user. We designed a solution to minimize technicians’ visits to isolated water tower, we designed sensors achieving a lifespan of several years. The solution will be capable of scaling the processing and storage resources. This combination of technologies can cope with different types of environments. The system also provides a notification to a remote user, when there is a non-conformity of water quality parameters with the pre-defined set of standard values.</span></p>

scholarly journals Early warning of changing drinking water quality by trend analysis

2016 ◽  
Vol 14 (3) ◽  
pp. 433-442 ◽  
Author(s):  
Jani Tomperi ◽  
Esko Juuso ◽  
Kauko Leiviskä
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Water Treatment ◽  
Trend Analysis ◽  
Warning Signs ◽  
Economic Losses ◽  
Monitoring And Control ◽  
Water Treatment Process ◽  
Health Related ◽  
And Control

Monitoring and control of water treatment plants play an essential role in ensuring high quality drinking water and avoiding health-related problems or economic losses. The most common quality variables, which can be used also for assessing the efficiency of the water treatment process, are turbidity and residual levels of coagulation and disinfection chemicals. In the present study, the trend indices are developed from scaled measurements to detect warning signs of changes in the quality variables of drinking water and some operating condition variables that strongly affect water quality. The scaling is based on monotonically increasing nonlinear functions, which are generated with generalized norms and moments. Triangular episodes are classified with the trend index and its derivative. Deviation indices are used to assess the severity of situations. The study shows the potential of the described trend analysis as a predictive monitoring tool, as it provides an advantage over the traditional manual inspection of variables by detecting changes in water quality and giving early warnings.

scholarly journals A Review - Water Quality Monitoring System

2019 ◽  
Author(s):  
R. J. Sapkal ◽  
Pooja Wattamwar ◽  
Rani Waghmode ◽  
Umrunnisa Tamboli
Keyword(s):  
Water Quality ◽  
Water Level ◽  
Water System ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
Network Coverage ◽  
Monitoring And Control ◽  
Water Sensor ◽  
And Control ◽  
System Prototype

This paper describes the main reason for need of effective and efficient water level monitoring and control of water quality in flat system tends to keeping the human resources healthy and sustainable, and to reduce the usage of water for household purposes. Due to climate changes and variability so many huge impacts are caused by the water system to the natural environment. Incredible methods are used by collecting water samples, testing and analyses in water laboratories alone. However, It is not always easy to be captured, analyses and fast dissemination of information to relevant users for making timely and well-versed decisions. In this project Water Sensor System prototype is developed for water level and quality monitoring in society is presented. These kind of growth was introduced by the assessment of widespread atmosphere that Including accessibility of cellular network Coverage at the site of process.

Continuous Detection of Hypochlorous Acid/Hypochlorite for Water Quality Monitoring and Control

2005 ◽  
Vol 17 (18) ◽  
pp. 1641-1648 ◽  
Author(s):  
Olga Ordeig ◽  
Roser Mas ◽  
Javier Gonzalo ◽  
Fco. Javier Del Campo ◽  
F. Javier Muñoz ◽  
...  
Keyword(s):  
Water Quality ◽  
Hypochlorous Acid ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
Monitoring And Control ◽  
And Control

Automated Water Quality Monitoring and Control for Milkfish Pond

2019 ◽  
pp. 129-139
Author(s):  
Shiella Marie P. Garcia ◽  
Cyd Laurence B. Santos ◽  
Karen Mae E. Briones ◽  
Sean Michael L. Reyes ◽  
Maurice Alyana G. Macasaet ◽  
...  
Keyword(s):  
Water Quality ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
Monitoring And Control ◽  
And Control

Climate change and effects on water quality: a first impression

2005 ◽  
Vol 51 (5) ◽  
pp. 53-59 ◽  
Author(s):  
H.A.J. Senhorst ◽  
J.J.G. Zwolsman
Keyword(s):  
Climate Change ◽  
Water Quality ◽  
Surface Waters ◽  
Low Flow ◽  
Impact Of Climate Change ◽  
First Impression ◽  
Floods And Droughts ◽  
The Impact ◽  
Case Basis

A number of possible relationships between climate change and water quality of Dutch surface waters have been investigated and an indicative quantification of the impact of climate change on water quality has been established. The analysis focused on water quality during periods of low flow and extreme heat, which are assumed to increase in frequency and intensity due to climate change. The results indicate that the impact of climate change on water quality cannot be generalised and should be assessed on a case by case basis. However, the impact on extreme situations (floods and droughts) seems to be largest, whilst water quality under average discharge conditions appears to be relatively unchanged.

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