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Course Code: EEC 1270
22 Course Visits
Emerging technologies in Water Quality Analysis
Course Sector:
Electrical Engineering
Course Dates and Locations
Choose a date and location to book your seat
No.
Date
Days
Location
Fees
Enrollment
01
5 Days
Jeddah, KSA $4,250
02
5 Days
Vienna, Austria $4,950
Introduction
Training course introducion / brief
This training program is designed to equip participants with an in-depth understanding of the latest technologies and innovations in the field of water quality analysis.
Data Management Tools
It will cover modern analytical techniques, sensors, data management tools, and emerging trends in water monitoring systems, focusing on practical skills and applications.
The training program includes theoretical knowledge, hands-on sessions, and case studies to help participants gain expertise in utilizing these technologies.
Course Objectives
At the end of the training course, participants will be able to
- Understand the importance of water quality standards and regulations.
- Identify the limitations of traditional water quality analysis methods.
- Learn about key sensor technologies used for water quality monitoring.
- Gain basic hands-on experience with sensors for water analysis.
- Understand data collection methods and cloud-based platforms for managing water quality data.
- Learn the basics of real-time data analysis and visualization.
- Understand how automated systems are used for continuous water quality monitoring.
- Learn how to calibrate and maintain automated monitoring systems.
- Understand the role of remote sensing in large-scale water quality analysis.
- Learn to integrate remote sensing data with ground-based systems.
- Understand advanced methods for chemical water testing, such as spectroscopy and chromatography.
- Learn about the detection of emerging contaminants in water.
- Gain an understanding of how AI and ML are applied to water quality monitoring and prediction.
- Learn to use basic AI tools to analyze water quality data.
- Learn how blockchain enhances security and transparency in water quality data management.
- Understand the potential of blockchain in water quality monitoring systems.
- Understand the integration of IoT in smart water quality monitoring systems.
- Explore the future trends and innovations in water quality technologies.
Course Audience
Who is this course for, and can benefit the most
coming soon
Course Outline
The course aims and learning outcomes
Advanced Sensor Technologies for Water Quality Monitoring:
- Types of Sensors for Water Quality Analysis.
- Electrochemical sensors (pH, dissolved oxygen, conductivity).
- Optical sensors (turbidity, color, chlorophyll).
- Ion-selective electrodes (ISE) for specific contaminants.
- Overview of wireless sensor technologies.
- Integration with IoT for remote monitoring.
- Case Studies on Sensor-based Water Quality Monitoring.
Automated Water Quality Monitoring Systems:
- Overview of Automated Water Quality Monitoring Systems.
- Components: sensors, controllers, alarms, and actuators.
- Types of systems: portable, stationary, and remote.
- Advantages of Automated Systems in Water Quality Monitoring.
- Calibration and Maintenance of Automated Monitoring Systems.
- Proper calibration techniques.
- Routine maintenance and troubleshooting.
- Hands-on Activity: Calibrating and testing an automated water quality monitoring system.
Remote Sensing Technologies in Water Quality:
- Remote Sensing Technologies (Satellite, UAV, Drones).
- Satellite-based water quality sensors.
- UAVs and drones for local water body monitoring.
- Water Quality Indicators Measured Using Remote Sensing.
- Surface temperature, turbidity, chlorophyll, etc.
- Applications in freshwater and marine environments.
- Integration of Remote Sensing with Ground-based Monitoring.
- Combining data from satellite, drone, and ground-based systems for comprehensive analysis.
- Hands-on Activity: Analyzing satellite images and drone footage for water quality parameters.
- Techniques in Water Chemistry Analysis.
- Mass spectrometry, chromatography, and inductively coupled plasma (ICP).
- Detection of emerging contaminants (pharmaceuticals, microplastics).
- Microbial Water Quality Testing Technologies.
- PCR, DNA/RNA analysis for detecting pathogens.
- Biosensors for real-time detection of microbiological contamination.
- Applications of nanomaterials in water filtration and sensing.
- Hands-on Activity: Performing basic chemical analysis using modern laboratory instruments.
Artificial Intelligence and Machine Learning in Water Quality:
- AI algorithms used in water quality prediction.
- Role of machine learning in analyzing complex water data.
- Case Studies of AI Applications in Water Quality.
- Data-driven Decision-making for Water Quality Management.
- Building predictive models for water treatment plants.
- Hands-on Activity: Using a basic AI tool to analyze water quality data and predict potential issues.
Blockchain for Water Quality Data Management:
- Overview of blockchain and its applications in various industries.
- Benefits of blockchain in environmental data management.
- Creating a decentralized system for water quality data.
- Case studies of blockchain implementation in water management.
- How blockchain can improve data accuracy and trustworthiness?
Smart Water Systems and Future Trends:
- Overview of smart water networks.
- IoT applications for water quality and quantity management.
- Using historical data to predict water quality trends and risks.
- Innovations on the horizon: AI, drones, blockchain, and sensor networks.
- Practical application.
Final Project:
- Group Project: Design a Water Quality Monitoring System Using Emerging Technologies.
- Teams design a system using sensors, data analytics, AI, and other technologies.
- Participants analyze a real-world case study and present their findings
- Recap of the training program.
Providers and Associations
Providing the best training services and benefits to our valued clients
Boost certificate of completion
BOOST's Professional Attendance Certificate “BPAC” is always given to the delegates after completing the training course, and depends on their attendance of the program at a rate of no less than 80%, besides their active participation and engagement during the program sessions.
ENDORSED EDUCATION PROVIDER
Flexible deadlines
Customized dates accordance to your schedule
Shareable Certificate
Earn certificate upon completion
COURSE METHODOLOGY
Our Training programs are implemented by combining the participants' academic knowledge and practical practice (30% theoretical / 70% practical activities).
At The end of the training program, Participants are involved in practical workshop to show their skills in applying what they were trained for. A detailed report is submitted to each participant and the training department in the organization on the results of the participant's performance and the return on training. Our programs focus on exercises, case studies, and individual and group presentations.
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