Air Quality Monitoring
Geostatistics successfully applies for mapping pollutant (ozone, dioxide of nitrogen, etc) and air quality indices with regard to regulatory pollutant thresholds and for the assessment of human exposure to air pollution.
Overview
Isatis is a fully integrated and operational geostatistical package which offers geoscientists a wide range of tools for in-depth data analysis, estimation and risk analysis.
Its interfaces with standard data formats (Excel, GIS, etc.) allow you to easily integrate Isatis in your day-to-day workflow.
Benefits
- Valuate your data by a secure quality process
- Optimize your sampling strategies and investigation costs
- Take advantage of multiplicity of data sources
- Get accurate and reliable mapping
- Quantify the uncertainties and assess the risks
- Automatically update your communication media
Solutions
- Increase data value by a secure quality process
- Investigate and clean your data with Isatis unique Exploratory Data Analysis interactive module.
- Identify and handle data anomalies and anisotropies using appropriate statistical representations (basemap, histogram, q-q plot, variogram map).
- Identify homogeneous areas.
- Combine all available information into a single database (diffusive sampling campaigns, automatic measurement stations, mobile laboratory).
- Optimize your sampling strategy and investigation costs.
- Get a reliable mapping of the pollution
- Characterize the spatial behavior of your pollutant concentrations through variogram analysis.
- Take the sampling representativity and measurement errors into account.
- Compute accurate maps using appropriate kriging algorithms and variogram models.
- Assess the precision of your map with the kriging variance.
- Refine your pollutant map using correlated pollutants data and indirect information (meteorology, topography, soil occupation, traffic density, industrial emissions).
- Take advantage of the multiplicity of information sources, including meteorological and pollution forecast models.
- Map the pollutant at a local, regional or national scale.
- Assess the population exposure
- Compute the probability of exceeding a pollutant threshold over a given period (day, week, year) using non linear techniques.
- Get the probability distribution of the number of inhabitants exposed to a pollution above regulatory limits from the stochastic simulations.
- Automatically update your communication media
- Periodically collect data and generate maps using Isatis batch procedures.
- Update maps for communication via the internet.



