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Students model air quality dispersion using the “openair” package in R, analyze air quality datasets in Germany, and make recommendations based on their findings.

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Environmental Engineering: Air Quality DIFUSE Module

Contributors: Rahul Gupta ('26), Andy J. Bean ('23), Monika Roznere (GR), Scott D. Pauls (DIFUSE PI, Professor of Mathematics), Petra Bonfert-Taylor (DIFUSE PI, Professor of Engineering), Taylor Hickey ('23, Project Manager)

Environmental Engineering: Air Quality DIFUSE Module Funded by NSF IUSE1917002

This module was developed through the DIFUSE project at Dartmouth College and funded by the National Science Foundation award IUSE-1917002.

Download the entire module Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Module Overview

Module Objective

The primary objective for this module is to learn and then apply air quality dispersion modeling using an R-based programming module, with the help of the package ‘openair’ and open-sourced air quality datasets of cities in Germany.

Student Learning Objectives

  1. Understand the basics of dispersion modeling
  2. Obtain and clean data sets
  3. Analyze those data sets
  4. Communicate results to peers and target audience members.

Module Description

Students learn and then apply air quality dispersion modeling using an R-based programming module, with the help of the package ‘openair’ and open-sourced air quality datasets of cities in Germany.

Data

The module uses measures of air quality in terms of concentrations of different pollutants and other particulate matter using the openair package in R.

Platform

The module uses R.

Schedule and Links

Use this page to get an idea of the timeline of the module, what components are involved, and what documents are related to each component. This is the schedule intended for module deployment by the DIFUSE team, though instructors are welcome to modify the timeline to fit their course environment.

Week Day Assignment Description Assignments Assigned Approx. Assignment duration Assignment Files (Linked to Repository Contents)
Wk 1 1 Introduction to R and RStudio Asgmt 1 2 days Assignment 1
2 Group Building and Selecting your Germany Site Asgmt 2 and Asgmt 6 Asgmt 2 : 1 day and Asgmt 6: Till Week 3 Assignment 2 , Assignment 6
3 Introduction to R Package Openair Asgmt 3 4 days Assignment 3
4 Open Class
Wk 2 1 Tutorial on Advanced Openair Asgmt 4 and Asgmt 5 Asgmt 4 : 5 days and Asgmt 5: 2 days Assignment 4 , Assignment 5
2 Group Work Group Work
3 Group Work Group Work
4 Preliminary Presentations Asgmt 4 Submission Assignment 4
Wk 3 1 Group Work Group Work
2 Group Work Group Work
3 Final Presentation Part 1 Asgmt 6 Submission Assignment 6
4 Final Presentation Part 2 Asgmt 6 Submission Assignment 6

Course Information

This module was developed for an engineering course, Introduction to Environmental Engineering, that is part of a study-abroad program in Germany. Prerequisites for the course include single variable calculus and one term of general chemistry.

Download the entire module Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

For instructors and interested parties, the history of this repository (with detailed commits), can be found here.

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Students model air quality dispersion using the “openair” package in R, analyze air quality datasets in Germany, and make recommendations based on their findings.

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