Data Analysis on the High-Frequency Pollution Data Collected in India

TL;DR

This study analyzes high-frequency CO pollution data from Hyderabad, revealing log-normal distribution, nonlinearity, and traffic-driven peak frequency patterns, providing insights into urban air quality dynamics.

Contribution

It presents the first detailed analysis of 1Hz pollution data in India, highlighting distributional characteristics and traffic influence on pollution peaks.

Findings

Data are log-normally distributed.

Pollution data exhibit nonlinearity.

Peak frequencies align with traffic patterns.

Abstract

Fine grained 1Hz Carbon Monoxide pollution data were collected on a busy road in Hyderabad, India. In this paper we report the findings from analysing the experimental data, in which it was found that the data were log-normally distributed and nonlinear. The dominant frequencies at peak hours were caused by the pattern of traffic flow.