Course Description
Measuring and controlling environmental parameters, with an emphasis on dataloggers and sensor theory. Measurement theory, common error sources, and appropriate use of equipment will be discussed. The theory behind measurements will be applied during the lab component.
Athena Title
ENVIRON MEAS & CONT
Grading System
A - F (Traditional)
Course Objectives
This course will introduce students to measurement theory (what, when, and how to measure). Common measurement methods will be discussed in details with an emphasis on accuracy, precision, variability, and repeatability. The theoretical principles behind common sensors used for environmental measurements (light, temperature, humidity, rain, soil water, etc.) will be discussed. Automated methods to control such environmental variables will be discussed. Efficient data collection methods, including the use of dataloggers, will be discussed. At the end of the course students will: - understand measurement principles and common sources of error - understand how a variety of different sensors work - be able to use this information to select the correct sensors for a particular measurement - be able to use peripheral equipment to manipulate environmental conditions for research purposes. The overall objective is to assure that graduate students have the ability to measure relevant environmental conditions correctly.
Topical Outline
1. Principles behind measurements: accuracy, precision, variability, and repeatability. Common error sources in environmental measurements. How often, and in how many different places do you need to measure different parameters? Spatial and temporal variability in environmental conditions. 2. Sensors for environmental measurements. Operating principles and common error sources of: - light sensors - temperature sensors (soil, water, and air) - humidity sensors - rain gauges - soil moisture probes - electrical conductivity - ion-selective electrodes (pH, specific nutrients) - students will be encouraged to bring in their own sensors as well 3. Automated data collection: - what are the advantages, drawbacks, and limitations of commonly used dataloggers? - What can and cannot be measured with different dataloggers (and why)? - Datalogger programming: how do you make them do what you want to? - What is the accuracy, resolution and precision of different loggers (and why does it matter)? - Interfacing sensors and dataloggers - Troubleshooting common problems - How to use equipment in remote locations: unattended operation, power options, communications, and data retrieval - Using dataloggers for environmental control in plant and soil science research (relays and relay drivers: using datalogger to turn equipment on and off)
Syllabus
Public CV