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Water Quality

Water Quality: Interpolation and Time Series Analysis of Water Quality Measurements

Water quality measurements only provide real insight when you can analyze them spatially and over time. In this blended learning course, you’ll learn how to convert measurement data into clear maps, perform interpolations, and visualize trends in water quality. This will give you a comprehensive picture of the quality of surface water and drinking water and help you make informed decisions in water management and environmental monitoring.

Introduction to Water Quality: Interpolation and Time Series Analysis of Water Quality Measurements

Water quality is of great importance to ecosystems, drinking water supplies, and sustainable water management. To properly assess changes in water quality, it is important not only to analyze measurement data at each monitoring site, but also to interpret it spatially and over time. GIS makes it possible to reveal patterns that are difficult to identify using individual measurements alone.

In this blended learning course, you’ll learn how to process water quality measurements in QGIS and convert them into clear maps and analyses. You’ll apply interpolation techniques to estimate values between measurement locations and use time series analysis to gain insight into changes in water quality over longer periods.

Through hands-on assignments, you’ll work with realistic datasets and learn how geospatial analyses contribute to the monitoring of surface water and drinking water. You’ll discover how spatial patterns, trends, and anomalies can be identified and how this information is used for environmental monitoring and water management.

Upon completion, you will have the skills to analyze, spatially visualize, and interpret water quality data for applications in water management, research, and environmental analysis.

What will you learn in this Blended Learning course?

During this blended learning course, you’ll learn how to convert measurement data into usable spatial information. You’ll develop practical skills in analyzing, interpolating, and visualizing water quality measurements using QGIS.

You’ll start by preparing and managing water quality data. Next, you’ll learn to apply interpolation techniques to estimate concentrations and water quality values between measurement points and create clear maps.

After that, you’ll work on time-series analyses. You’ll examine how water quality changes over different measurement periods and learn to recognize trends, seasonal influences, and anomalies. Finally, you’ll combine spatial analyses and time series to draw well-founded conclusions about the quality of surface water and drinking water.

Upon completion, you’ll be able to independently analyze water quality measurements, visualize spatial patterns, and interpret trends to support water management and environmental monitoring.

Why choose this Blended Learning Water Quality course?

This blended learning program combines flexible online learning with hands-on assignments in which you work with realistic water quality measurements. You’ll not only learn how interpolation and time-series analysis work, but—more importantly—how to apply these techniques to current water quality issues.

During the online modules, you’ll develop skills in processing measurement data, conducting spatial analyses, and visualizing changes in water quality. During the guided sessions, you’ll receive personalized guidance and learn how GIS is used to interpret and present water quality data.

Upon completion, you will have a solid foundation for spatially analyzing water quality measurements, identifying trends, and creating professional maps and visualizations for applications in water management, environmental monitoring, and research.

Enroll

€395,-
  • Start: 1-hour online session
  • Self-study: Review course materials
  • End: 1-hour online session
Register for this course

You’ll receive 1-on-1 guidance. After signing up, our course coordinator will contact you to schedule your first session.

Learning Objectives

  • Process, manage, and analyze water quality measurements using QGIS for applications in water management and environmental monitoring.
  • Apply interpolation techniques to spatially estimate and visualize water quality values between measurement locations.
  • Perform time-series analyses to identify and interpret trends, seasonal influences, and changes in water quality.
  • Create professional maps and visualizations that provide insight into the quality of surface water and drinking water and support decision-making.

Want to know more?

Do you have questions about the course content? Or are you unsure whether the course aligns with your learning goals or preferences? Would you prefer an in-house or private course? We’d be happy to help.

Blended Learning Water Quality FAQs

Interpolation is an analytical technique used to estimate values between measurement points. This allows you to create a continuous map from individual water quality measurements and gain a better understanding of spatial patterns in, for example, nutrients, oxygen levels, or contaminants.

Time-series analysis examines how water quality measurements change over a specific period. This allows you to identify trends, seasonal influences, and anomalies, and to better assess changes in the quality of surface water and drinking water.

 

You will use QGIS to process water quality measurements, perform interpolations, analyze time series, and visualize the results in clear maps and graphs.

 

The techniques from this blended learning approach are applied in water management, environmental monitoring, drinking water management, ecological research, and climate adaptation. They support the analysis of water quality data and the making of well-informed decisions based on spatial analyses.