Air Quality Measurements from Rio de Janeiro, July–October 2011

Roberto Campos Leoni analyzed a dataset of 2,240 hourly average air quality measurements collected from a monitoring station in the Gávea district of Rio de Janeiro between July and October 2011. The study applied descriptive and multivariate statistical approaches, including principal component analysis and Euclidean clustering with Ward criteria. Results indicated strong correlations between primary pollutants like nitrogen monoxide and carbon monoxide, suggesting a common vehicular origin.

Use Cases

• Modeling correlations between vehicular emissions and primary pollutants based on the strong correlation between nitrogen monoxide and carbon monoxide mentioned in the description.
• Analyzing photochemical ozone formation based on the described correlations between ozone, nitrogen monoxide, and solar radiation.
• Studying the influence of meteorology on air quality based on the described correlations between temperature, relative humidity, and wind speed.
• Applying multivariate statistical techniques like principal component analysis to air quality time-series data as demonstrated in the source study.

Strengths

• Dataset contains 2,240 hourly average data points, providing a detailed temporal resolution.
• Analysis includes specific correlation coefficients (e.g., 0.71 between NO and CO) derived from the data.
• Data is focused on a specific urban location (Gávea, Rio de Janeiro) and time period (July–October 2011).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the underlying raw data is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Roberto Campos Leoni

Collection Method

Data collected by an air quality monitoring station.

Time Range

July to October 2011

Geography

Gávea district, Rio de Janeiro, Brazil