Alejandro Casallas

Pre-congress course:

Machine Learning for Air Quality Prediction

Professor and Researcher at Universidad Sergio Arboleda

This course describes the general operation of two machine learning tools (i.e. SVM and Neural Network). Predictions of a pollutant criterion will be made for a station in Bogota or, if required by an attendee, for another city. For the development of the predictions it is preferable that the attendees know the programming language “Python”, although a leveling will be done in the first 30 minutes of the course. The objective of the course is that students are able to recognize the operation of two Machine Learning tools and have a basis for their programming.

Requirements: Jupyter (with sklearn) installed on the computer.

Yohen Cuellar

Pre-congress course:

Well-to-Wheels analysis of transport emissions

Professor at the National University of Colombia

This course aims to provide basic knowledge on the application of WTW analysis in the evaluation of road transport impacts, by comparing the environmental effects of gasoline and electric vehicles, being a current topic of debate on the energy transition and the impact generated by replacing fossil fuels with alternative energy sources.

Requirements: Computer with audio and video. OpenLCA® open access software.

Miguel Ángel Román

Pre-congress course:

Use of the AIRQ+ model for the assessment of health benefits from air pollution abatement

Air Quality and Environmental Health Specialist Clean Air Institute

There is a well-documented link between health and air quality. The existence of health effects attributable to air pollution is the basis for the development of air quality standards. Further, policies for comprehensive air quality improvement, air pollution abatement plans and interventions in sustainable transport and low-emission industrial development make the estimation of the health impact of these effects and their economic valuation part of the benefit analysis of such interventions. The AirQ+ Software, developed by the World Health Organization is a tool that enables the assessment of these benefits to support decision-making and research processes.

Requirements: Attendees must have a computer and internet connection.

Sergio Ibarra

Pre-congress course:

Curso de VEIN: Modelo Vehicular Emissions Inventory

Professor Universidade de São Paulo

Vehicle emissions remain one of the most important sources of air pollution in urban centers. Due to the negative consequences of vehicle air pollution on health, climate and ecosystems, its characterization is important. The Vehicular Emissions Inventory (VEIN) model is used to calculate vehicle emissions with a mass balance approach to fuel consumption. VEIN includes emission factors from China, the United States, Europe and Brazil and has been downloaded more than 23,000 times and is used worldwide. The model incorporates functions to specify and group emissions for more than 15 chemical mechanisms such as CB05, SAPRAC99, RACM and many others. VEIN is written in R and Fortran with OpenMP, importing sf with bindings for GDAL, GEOS and PROJ, being very fast with geoprocessing. This course will address 1) Geographic data processing, 2) Vehicle activity data processing, 3) emission factor selection, 4) vehicle emissions estimation, and 5) emissions processing in different formats.

Requirements: Computer with RStudio with the following packages:

  • vein   *sf    *data.table    * ggplot2    *readxl

Daniel Bernal

Curso pre-congreso:

On-site Workshop: Make your own PM2.5 sensor

Citizen Group CanAirIO - Project Cos4Cloud

This course/workshop will involve the construction of a low cost personal PM 2.5 monitor for each participant. Nowadays, low cost devices are an essential tool to estimate exposure to pollution. The monitor built will have a “Sensorion SPS30” sensor, which is MCERTS certified, which reduces data uncertainty. It will have an internal battery for 6 hours autonomy, temperature and humidity sensor, optional bluetooth and wifi connection to its own server. It will be developed in person at the facilities of the Universidad Sergio Arboleda and all materials will be supplied. The attendee will keep his own built monitor, and will have the ability to replicate the construction on future occasions, and at the end, it will be held the first pilot measurement campaign to test the monitor.

Previous knowledge: None
Requirements: Workshop held at the facilities of the Universidad Sergio Arboleda in Bogotá. Arrive early and wear a mask at all times.
This course has a higher price than the others, because it includes all the materials to make your own monitor.

Ghisliane Echeverry

Pre-congress course:

Integrated analysis of air quality and meteorology data with RStudio for beginners

Professor Universidad Central del Valle del Cauca

This course will take a tour of the tools for analysing real air quality and meteorology data using the RStudio OpenAir package. The OpenAir package is a widely used and very important tool for the basic needs of answering air quality questions at different levels in academia, government and industry. OpenAir has nowadays become a necessary starting point for data analysis. It is expected that at the end of this workshop, attendees will be able to use the basic tools of RStudio and OpenAir to analyse and interpret data measured by air quality monitoring networks and their interaction with meteorological variables.

Prior knowledge: Basic Excel
Prerequisites: RStudio installed prior to the workshop.

CASAP VIII

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