Executive Summary: Technological development and industrialization have brought secondary effects that little by little have been damaging the atmosphere, whose importance is vital for the survival of all living beings and for climate balance. Countless reports from both governmental and non-governmental organizations, at different levels, have evidenced the need to develop action plans aimed at reducing environmental pollution.
In this sense, Ecuador, within the Objectives of the National Development Plan (PND) 2017-2021, intends to guarantee the rights of nature for current and future generations by strengthening a green diplomacy that fights against climate change and that demands respect. to nature, and, in accordance with Objective 3 of the PND, establishing responsible practices with the environment and with the population. Within the Emblematic Interventions of the PND, Ecuador intends to green the country through good practices that contribute to the reduction of pollution, mitigation and adaptation to the effects of climate change. Therefore, the issue of environmental contamination is framed within long-term planning, in order to guarantee a healthy, dignified and abundant environment. In this context, the present project intends to carry out the robust estimation of environmental variables that allow us to model, and in the long term help to predict, air quality indices (some types of pollutants are: particulate matter PM2.5, CO, CO2 and NO2, among others) and noise pollution, in environments where it is suspected that citizens are affected by pollution. To do this, we will use tools for optimal signal processing, artificial intelligence and robust statistics, together with human-machine interface engineering for interactive systems to display results. The experiment will be carried out in the Parque de la Carolina de Quito (PCQ), a city highly affected by pollution, and both air pollution and acoustics generated by vehicular traffic in the area will be evaluated, building a prototype that later it allows us the reproducibility of the experiment both in other parts of Quito and in other provinces, in which serious problems of air pollution are evident. A distributed sensor network will be located in the PCQ and the data frame from the sensors will be sent to the cloud for real-time visualization and so that, through a fast, intuitive and easy-to-use visualization interface, users They can have the desired information. In this project, air and noise pollution variables will be identified, and their probability distribution will be estimated, carrying out robust data processing. Next, mathematical models will be obtained that allow us to describe the dynamics of the processes under study and, finally, optimal signal processing techniques, robust estimation of variables and computational modeling will be applied to carry out the estimation of the air quality index. and noise pollution levels.
General Objectives: Optimally and robustly estimate air pollution and noise pollution variables in Quito, under conditions of high station network density, to improve interpolation between existing points and to understand the role played by an urban park in the dispersion and/or cleaning up air pollution.
Specific objectives:
- Install a network of sensors in the region under study that allows us to monitor in real time the behavior of the variables of interest under measurement.
- Design an interface that is responsible for collecting the data and transforming it, for its subsequent processing and delivery to the user. This interface consists of a front-end and a back-end.
- Model air pollution and noise
- Design a prototype of the analytical application for urban pollution estimation data.
- Design a user interface (human-computer interaction) and web accessibility study.
- Interpret air quality, noise and meteorology data.
Participating Institutions:
UDLA.
Participants:
Project Director Dr. Wilmar Hérnandez
- Wilmar Hernandez Perdomo
- Luis Bravo Moncayo
- Rasa Zalakeviciute
- Jorge Luis Perez Medina
- Jose Julio Freire Cabrera
- Jonathan Carrillo
- Tannia Alava Freire
- Marco Antonio Galarza Castillo
- Angela Maria Diaz Marquez
- Pablo Alejandro Quezada Sarmiento
- Luis Alberto Jumbo Flores
- Jose Rigoberto Muñoz Cargua
- Willam Bladimir Cevallos Cevallos
- Christian Manuel Sanchez Acosta
- Ivan Menes Camejo
- Katherine Maribel Gallegos Carrillo
Awarded budget: $37442
Project status: Signing of agreements.
