SlideShare uma empresa Scribd logo
Remote water quality monitoring is a crucial component of environmental management, providing
real-time data on the condition of water bodies without the need for constant physical presence. This
technology combines various sensors, telemetry systems, and data analytics to collect and analyze
water quality parameters from remote locations, offering insights into the health of aquatic
ecosystems, drinking water sources, and industrial discharge sites. With the increasing pressure on
water resources due to population growth, urbanization, and industrialization, remote monitoring
plays a vital role in ensuring water safety, sustainability, and regulatory compliance.
One of the primary advantages of remote water quality monitoring is its ability to provide continuous
data collection over large spatial scales. Traditional sampling methods involve manual collection of
water samples at specific locations and times, which may not capture temporal variability or spatial
heterogeneity adequately. Remote monitoring systems, on the other hand, can be deployed across
vast areas, enabling comprehensive coverage and timely detection of changes in water quality
parameters such as temperature, pH, dissolved oxygen, turbidity, conductivity, and nutrient levels.
These monitoring systems typically consist of an array of sensors strategically placed in water bodies
or integrated into water infrastructure. These sensors are designed to measure various
physicochemical and biological parameters, depending on the monitoring objectives and
environmental concerns. For example, in freshwater ecosystems, sensors may be deployed to monitor
nutrient concentrations and algal blooms, which can indicate eutrophication and potential water
quality deterioration. In coastal areas, sensors may focus on parameters such as salinity and dissolved
oxygen to assess the health of marine ecosystems and support fisheries management.
Furthermore, remote monitoring facilitates early warning systems and predictive modeling to
anticipate and mitigate potential water quality threats. By analyzing historical data and identifying
trends, machine learning algorithms and statistical models can forecast future water quality
conditions, helping stakeholders implement proactive management strategies. For example,
predictive models can predict the occurrence of harmful algal blooms based on environmental
conditions, enabling water managers to implement targeted interventions to minimize impacts on
drinking water supplies and recreational activities.
In addition to environmental monitoring, remote water quality monitoring also plays a crucial role
in water resource management and infrastructure maintenance. By continuously monitoring
parameters such as water levels, flow rates, and sediment transport, authorities can assess the
performance of dams, levees, and wastewater treatment plants, identifying potential issues before
they escalate into costly emergencies. This proactive approach to infrastructure management
improves resilience to extreme weather events, reduces downtime, and enhances overall system
efficiency.
Testing for Total Ammonia Nitrogen
Monitoring Water For Total Ammonia NitrogenKETOS SHIELD marries self-calibrating hardware with
cloud-enabled software to deliver a solution that allows water operators to monitor for total
ammonia nitrogen (and other variables) in real-time, all while lowering the traditional up-front costs
associated with testing water parameters.
Introducing KETOS SHIELD, a multi-award-winning intelligent water management solution.
Organizations can leverage real-time automated monitoring for total ammonia nitrogen and 30+ other
water testing parameters (such as inorganic materials, heavy metals, and other environmental
factors). Water operators can connect to their data via an internet-aware modular system that makes
decision-making more accessible than ever – on-site, in the office, or on the move.
Why Monitor Water for Total Ammonia Nitrogen with KETOS?
Ammonia is naturally occurring in water. It’s produced by organic matter decay and can enter water
supplies via human activity, including petrochemical, plastic, and pharmaceutical production, as well
as via fertilizers.
When present in water at relatively low concentrations, ammonia poses no threat to humans,
however, it can be an irritant to eyes/nose and can affect the taste and odor of water. In drinking
water, monitoring for ammonia is essential as it can react with chlorine and decrease disinfection
efficiency. For this reason, drinking water should not contain more than 0.2 mg/L.
In wastewater, ammonia needs constant monitoring to prevent effluent from damaging local aquatic
ecosystems. It can become toxic to marine life when present in larger quantities (0.5 mg/L and above).
Monitor for total ammonia nitrogen and 30+ other water testing parameters with KETOS.
In conclusion, remote water quality monitoring is a valuable tool for assessing the health of aquatic
ecosystems, safeguarding drinking water supplies, and managing water resources sustainably. By
leveraging advanced sensor technologies, telemetry systems, and data analytics, remote monitoring
enables continuous data collection, real-time insights, and proactive management strategies. As
water-related challenges continue to evolve, remote monitoring will remain indispensable for
maintaining water quality, protecting public health, and preserving the integrity of freshwater and
marine environments.

Mais conteúdo relacionado

Semelhante a Remote water quality monitoring with KETOS

Revolutionizing Water Management- KWS800 Water Quality Monitoring System.pdf
Revolutionizing Water Management- KWS800 Water Quality Monitoring System.pdfRevolutionizing Water Management- KWS800 Water Quality Monitoring System.pdf
Revolutionizing Water Management- KWS800 Water Quality Monitoring System.pdf
kacise
 
Arduino Based Fish Monitoring System
Arduino Based Fish Monitoring SystemArduino Based Fish Monitoring System
Arduino Based Fish Monitoring System
Jennifer Daniel
 
Water quality and sampling
Water quality and samplingWater quality and sampling
Water quality and samplingJasmine John
 
Web based Water Turbidity Monitoring and Automated Filtration System: IoT App...
Web based Water Turbidity Monitoring and Automated Filtration System: IoT App...Web based Water Turbidity Monitoring and Automated Filtration System: IoT App...
Web based Water Turbidity Monitoring and Automated Filtration System: IoT App...
IJECEIAES
 
IRJET- ANN-Based Modeling for Coagulant Dosage in Drinking Water Treatment Plant
IRJET- ANN-Based Modeling for Coagulant Dosage in Drinking Water Treatment PlantIRJET- ANN-Based Modeling for Coagulant Dosage in Drinking Water Treatment Plant
IRJET- ANN-Based Modeling for Coagulant Dosage in Drinking Water Treatment Plant
IRJET Journal
 
Water Quality Sensors Definition and Different Types of Sensors
Water Quality Sensors Definition and Different Types of SensorsWater Quality Sensors Definition and Different Types of Sensors
Water Quality Sensors Definition and Different Types of Sensors
svananalytics
 
Waterquality 120507145656-phpapp01
Waterquality 120507145656-phpapp01Waterquality 120507145656-phpapp01
Waterquality 120507145656-phpapp01
MAHMUDUL KARIM
 
Water quality monitoring
Water quality monitoringWater quality monitoring
Water quality monitoring
ManojKumar5984
 
City of Salina Report-Water Quality
City of Salina Report-Water Quality City of Salina Report-Water Quality
City of Salina Report-Water Quality
City of Salina
 
IRJET- Smart Water Monitoring System for Real-Time Water Quality and Usage Mo...
IRJET- Smart Water Monitoring System for Real-Time Water Quality and Usage Mo...IRJET- Smart Water Monitoring System for Real-Time Water Quality and Usage Mo...
IRJET- Smart Water Monitoring System for Real-Time Water Quality and Usage Mo...
IRJET Journal
 
Control and Monitor Algae with the MPC-Buoy
Control and Monitor Algae with the MPC-BuoyControl and Monitor Algae with the MPC-Buoy
Control and Monitor Algae with the MPC-Buoy
LG Sonic
 
Pharmaceutical Water Instrumentation Guide
Pharmaceutical Water Instrumentation GuidePharmaceutical Water Instrumentation Guide
Pharmaceutical Water Instrumentation Guide
Alliance Technical Sales, Inc.
 
Pharmaceutical Water Guide - Instrumentation
Pharmaceutical Water Guide - InstrumentationPharmaceutical Water Guide - Instrumentation
Pharmaceutical Water Guide - Instrumentation
Alliance Technical Sales, Inc.
 
IoT Based Industrial Sewage Water Purity Indicator
IoT Based Industrial Sewage Water Purity IndicatorIoT Based Industrial Sewage Water Purity Indicator
IoT Based Industrial Sewage Water Purity Indicator
IRJET Journal
 
IRJET- Internet of Things: Water Quality Monitoring
IRJET- Internet of Things: Water Quality MonitoringIRJET- Internet of Things: Water Quality Monitoring
IRJET- Internet of Things: Water Quality Monitoring
IRJET Journal
 
Detection of Water Level, Quality and Leakage using Raspberry Pi with Interne...
Detection of Water Level, Quality and Leakage using Raspberry Pi with Interne...Detection of Water Level, Quality and Leakage using Raspberry Pi with Interne...
Detection of Water Level, Quality and Leakage using Raspberry Pi with Interne...
IRJET Journal
 
Industry released Water pollution alarming system
Industry released Water pollution alarming systemIndustry released Water pollution alarming system
Industry released Water pollution alarming system
dineshkumar1088888
 
ICSEIET23 Paper_Id_655.pptx paper publish
ICSEIET23 Paper_Id_655.pptx paper publishICSEIET23 Paper_Id_655.pptx paper publish
ICSEIET23 Paper_Id_655.pptx paper publish
RonaldoMantis
 

Semelhante a Remote water quality monitoring with KETOS (20)

Revolutionizing Water Management- KWS800 Water Quality Monitoring System.pdf
Revolutionizing Water Management- KWS800 Water Quality Monitoring System.pdfRevolutionizing Water Management- KWS800 Water Quality Monitoring System.pdf
Revolutionizing Water Management- KWS800 Water Quality Monitoring System.pdf
 
Arduino Based Fish Monitoring System
Arduino Based Fish Monitoring SystemArduino Based Fish Monitoring System
Arduino Based Fish Monitoring System
 
Water quality and sampling
Water quality and samplingWater quality and sampling
Water quality and sampling
 
Web based Water Turbidity Monitoring and Automated Filtration System: IoT App...
Web based Water Turbidity Monitoring and Automated Filtration System: IoT App...Web based Water Turbidity Monitoring and Automated Filtration System: IoT App...
Web based Water Turbidity Monitoring and Automated Filtration System: IoT App...
 
IRJET- ANN-Based Modeling for Coagulant Dosage in Drinking Water Treatment Plant
IRJET- ANN-Based Modeling for Coagulant Dosage in Drinking Water Treatment PlantIRJET- ANN-Based Modeling for Coagulant Dosage in Drinking Water Treatment Plant
IRJET- ANN-Based Modeling for Coagulant Dosage in Drinking Water Treatment Plant
 
Water quality
Water qualityWater quality
Water quality
 
Water Quality Sensors Definition and Different Types of Sensors
Water Quality Sensors Definition and Different Types of SensorsWater Quality Sensors Definition and Different Types of Sensors
Water Quality Sensors Definition and Different Types of Sensors
 
Waterquality 120507145656-phpapp01
Waterquality 120507145656-phpapp01Waterquality 120507145656-phpapp01
Waterquality 120507145656-phpapp01
 
Water quality monitoring
Water quality monitoringWater quality monitoring
Water quality monitoring
 
City of Salina Report-Water Quality
City of Salina Report-Water Quality City of Salina Report-Water Quality
City of Salina Report-Water Quality
 
IRJET- Smart Water Monitoring System for Real-Time Water Quality and Usage Mo...
IRJET- Smart Water Monitoring System for Real-Time Water Quality and Usage Mo...IRJET- Smart Water Monitoring System for Real-Time Water Quality and Usage Mo...
IRJET- Smart Water Monitoring System for Real-Time Water Quality and Usage Mo...
 
Control and Monitor Algae with the MPC-Buoy
Control and Monitor Algae with the MPC-BuoyControl and Monitor Algae with the MPC-Buoy
Control and Monitor Algae with the MPC-Buoy
 
Pharmaceutical Water Instrumentation Guide
Pharmaceutical Water Instrumentation GuidePharmaceutical Water Instrumentation Guide
Pharmaceutical Water Instrumentation Guide
 
Pharmaceutical Water Guide - Instrumentation
Pharmaceutical Water Guide - InstrumentationPharmaceutical Water Guide - Instrumentation
Pharmaceutical Water Guide - Instrumentation
 
IoT Based Industrial Sewage Water Purity Indicator
IoT Based Industrial Sewage Water Purity IndicatorIoT Based Industrial Sewage Water Purity Indicator
IoT Based Industrial Sewage Water Purity Indicator
 
IRJET- Internet of Things: Water Quality Monitoring
IRJET- Internet of Things: Water Quality MonitoringIRJET- Internet of Things: Water Quality Monitoring
IRJET- Internet of Things: Water Quality Monitoring
 
Detection of Water Level, Quality and Leakage using Raspberry Pi with Interne...
Detection of Water Level, Quality and Leakage using Raspberry Pi with Interne...Detection of Water Level, Quality and Leakage using Raspberry Pi with Interne...
Detection of Water Level, Quality and Leakage using Raspberry Pi with Interne...
 
Industry released Water pollution alarming system
Industry released Water pollution alarming systemIndustry released Water pollution alarming system
Industry released Water pollution alarming system
 
Placement Report (final)
Placement Report (final)Placement Report (final)
Placement Report (final)
 
ICSEIET23 Paper_Id_655.pptx paper publish
ICSEIET23 Paper_Id_655.pptx paper publishICSEIET23 Paper_Id_655.pptx paper publish
ICSEIET23 Paper_Id_655.pptx paper publish
 

Último

Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !
KatiaHIMEUR1
 
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdfFIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance
 
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfObservability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Paige Cruz
 
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
Neo4j
 
Free Complete Python - A step towards Data Science
Free Complete Python - A step towards Data ScienceFree Complete Python - A step towards Data Science
Free Complete Python - A step towards Data Science
RinaMondal9
 
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the  Possible with Graph - Q2 2024GraphSummit Singapore | The Art of the  Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
Neo4j
 
Pushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 daysPushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 days
Adtran
 
DevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA ConnectDevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA Connect
Kari Kakkonen
 
Epistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI supportEpistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI support
Alan Dix
 
Microsoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdfMicrosoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdf
Uni Systems S.M.S.A.
 
Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1
DianaGray10
 
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdfSmart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
91mobiles
 
National Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practicesNational Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practices
Quotidiano Piemontese
 
PHP Frameworks: I want to break free (IPC Berlin 2024)
PHP Frameworks: I want to break free (IPC Berlin 2024)PHP Frameworks: I want to break free (IPC Berlin 2024)
PHP Frameworks: I want to break free (IPC Berlin 2024)
Ralf Eggert
 
20240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 202420240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 2024
Matthew Sinclair
 
Removing Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software FuzzingRemoving Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software Fuzzing
Aftab Hussain
 
GridMate - End to end testing is a critical piece to ensure quality and avoid...
GridMate - End to end testing is a critical piece to ensure quality and avoid...GridMate - End to end testing is a critical piece to ensure quality and avoid...
GridMate - End to end testing is a critical piece to ensure quality and avoid...
ThomasParaiso2
 
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FMEEssentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
Safe Software
 
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
Neo4j
 
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdf
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfSAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdf
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdf
Peter Spielvogel
 

Último (20)

Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !
 
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdfFIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
 
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfObservability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
 
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
 
Free Complete Python - A step towards Data Science
Free Complete Python - A step towards Data ScienceFree Complete Python - A step towards Data Science
Free Complete Python - A step towards Data Science
 
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the  Possible with Graph - Q2 2024GraphSummit Singapore | The Art of the  Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
 
Pushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 daysPushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 days
 
DevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA ConnectDevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA Connect
 
Epistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI supportEpistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI support
 
Microsoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdfMicrosoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdf
 
Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1
 
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdfSmart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
 
National Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practicesNational Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practices
 
PHP Frameworks: I want to break free (IPC Berlin 2024)
PHP Frameworks: I want to break free (IPC Berlin 2024)PHP Frameworks: I want to break free (IPC Berlin 2024)
PHP Frameworks: I want to break free (IPC Berlin 2024)
 
20240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 202420240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 2024
 
Removing Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software FuzzingRemoving Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software Fuzzing
 
GridMate - End to end testing is a critical piece to ensure quality and avoid...
GridMate - End to end testing is a critical piece to ensure quality and avoid...GridMate - End to end testing is a critical piece to ensure quality and avoid...
GridMate - End to end testing is a critical piece to ensure quality and avoid...
 
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FMEEssentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
 
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
 
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdf
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfSAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdf
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdf
 

Remote water quality monitoring with KETOS

  • 1. Remote water quality monitoring is a crucial component of environmental management, providing real-time data on the condition of water bodies without the need for constant physical presence. This technology combines various sensors, telemetry systems, and data analytics to collect and analyze water quality parameters from remote locations, offering insights into the health of aquatic ecosystems, drinking water sources, and industrial discharge sites. With the increasing pressure on water resources due to population growth, urbanization, and industrialization, remote monitoring plays a vital role in ensuring water safety, sustainability, and regulatory compliance. One of the primary advantages of remote water quality monitoring is its ability to provide continuous data collection over large spatial scales. Traditional sampling methods involve manual collection of water samples at specific locations and times, which may not capture temporal variability or spatial heterogeneity adequately. Remote monitoring systems, on the other hand, can be deployed across vast areas, enabling comprehensive coverage and timely detection of changes in water quality parameters such as temperature, pH, dissolved oxygen, turbidity, conductivity, and nutrient levels. These monitoring systems typically consist of an array of sensors strategically placed in water bodies or integrated into water infrastructure. These sensors are designed to measure various physicochemical and biological parameters, depending on the monitoring objectives and environmental concerns. For example, in freshwater ecosystems, sensors may be deployed to monitor nutrient concentrations and algal blooms, which can indicate eutrophication and potential water quality deterioration. In coastal areas, sensors may focus on parameters such as salinity and dissolved oxygen to assess the health of marine ecosystems and support fisheries management. Furthermore, remote monitoring facilitates early warning systems and predictive modeling to anticipate and mitigate potential water quality threats. By analyzing historical data and identifying trends, machine learning algorithms and statistical models can forecast future water quality conditions, helping stakeholders implement proactive management strategies. For example, predictive models can predict the occurrence of harmful algal blooms based on environmental conditions, enabling water managers to implement targeted interventions to minimize impacts on drinking water supplies and recreational activities. In addition to environmental monitoring, remote water quality monitoring also plays a crucial role in water resource management and infrastructure maintenance. By continuously monitoring parameters such as water levels, flow rates, and sediment transport, authorities can assess the performance of dams, levees, and wastewater treatment plants, identifying potential issues before they escalate into costly emergencies. This proactive approach to infrastructure management
  • 2. improves resilience to extreme weather events, reduces downtime, and enhances overall system efficiency. Testing for Total Ammonia Nitrogen Monitoring Water For Total Ammonia NitrogenKETOS SHIELD marries self-calibrating hardware with cloud-enabled software to deliver a solution that allows water operators to monitor for total ammonia nitrogen (and other variables) in real-time, all while lowering the traditional up-front costs associated with testing water parameters. Introducing KETOS SHIELD, a multi-award-winning intelligent water management solution. Organizations can leverage real-time automated monitoring for total ammonia nitrogen and 30+ other water testing parameters (such as inorganic materials, heavy metals, and other environmental factors). Water operators can connect to their data via an internet-aware modular system that makes decision-making more accessible than ever – on-site, in the office, or on the move.
  • 3. Why Monitor Water for Total Ammonia Nitrogen with KETOS? Ammonia is naturally occurring in water. It’s produced by organic matter decay and can enter water supplies via human activity, including petrochemical, plastic, and pharmaceutical production, as well as via fertilizers. When present in water at relatively low concentrations, ammonia poses no threat to humans, however, it can be an irritant to eyes/nose and can affect the taste and odor of water. In drinking water, monitoring for ammonia is essential as it can react with chlorine and decrease disinfection efficiency. For this reason, drinking water should not contain more than 0.2 mg/L. In wastewater, ammonia needs constant monitoring to prevent effluent from damaging local aquatic ecosystems. It can become toxic to marine life when present in larger quantities (0.5 mg/L and above). Monitor for total ammonia nitrogen and 30+ other water testing parameters with KETOS. In conclusion, remote water quality monitoring is a valuable tool for assessing the health of aquatic ecosystems, safeguarding drinking water supplies, and managing water resources sustainably. By leveraging advanced sensor technologies, telemetry systems, and data analytics, remote monitoring enables continuous data collection, real-time insights, and proactive management strategies. As water-related challenges continue to evolve, remote monitoring will remain indispensable for maintaining water quality, protecting public health, and preserving the integrity of freshwater and marine environments.