Photochemical Modeling of Atmospheric Pollutants

With more than 20 years of experience in photochemical modeling of atmospheric pollutants, we offer advanced services to evaluate the environmental impact of projects submitted to the Environmental Impact Assessment System (SEIA) and for the self-assessment of operational emissions.

Importance of the Service

Our approach follows the “Guide for the Use of Air Quality Models” from SEA as of March 2023, providing a clear and practical framework for environmental assessment. We use air quality models to evaluate the impact of emissions on air and human health.

Features of Our Service

Recommended Models: We employ models like the Community Multi-scale Air Quality (CMAQ), recommended by the SEA guide, to simulate atmospheric photochemistry.

Meteorological Modeling: We generate the necessary meteorological information for these photochemical models using the WRF-ARW model.

Services Offered

Statistical analysis using OpenAir-Project and Python to develop a baseline.

Complete modeling of a year's meteorology.

Photochemical modeling of PM2.5, ozone, and air toxics.

Environmental impact evaluation.

Determination of influence areas.

Studies of short and long-range pollutant transport.

Our Experience

We have applied CMAQ in various areas of Chile and Peru, including mining, energy, smelting zones, and urban areas, achieving precise and reliable results.

Documents of interest

Guide for the use of air quality models in the SEIA, 2023

Guide for the description of the area of ​​influence. 2017

Methodological guide for estimating emissions from point sources, 2019

Guide for estimating atmospheric emissions in the Metropolitan Region, 2020

Methodological guide for the consideration of climate change in the SEIA, 2023

AP-42: Compilation of Air Emissions Factors. 2024

EMEP/EEA air pollutant emission inventory guidebook. 2024

Advantages of working with Particles.

Contact us today!

If you are interested in our services, do not hesitate to get in touch with our company.