Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Videos

Detecting and tracking changes in ozone air quality

S T Rao¹, I G Zurbenko

¹State University of New York at Albany.

Air & Waste : Journal of the Air & Waste Management Association

|September 1, 1994

Summary

This study introduces a statistical method to analyze air quality trends by removing weather effects on ozone levels. The technique helps assess emission control effectiveness, even with variable meteorological conditions.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Genetic bases of schizophrenia phenotypes: abridged secondary publication.

Hong Kong medical journal = Xianggang yi xue za zhi·2026

Same author

A Reduced Form Model for Ozone Based on Two Decades of CMAQ Simulations for the Continental United States.

Atmospheric pollution research·2018

Same author

Anaplastic lymphoma kinase status in lung cancers: An immunohistochemistry and fluorescence <i>in situ</i> hybridization study from a tertiary cancer center in India.

Indian journal of cancer·2017

Same author

Space-time analysis of the Air Quality Model Evaluation International Initiative (AQMEII) Phase 1 air quality simulations.

Journal of the Air & Waste Management Association (1995)·2014

Same author

Determination of vehicle emission rates from roadways by mass balance techniques. Comments.

Environmental science & technology·2012

Same author

Recurrent alpha-fetoprotein secreting Sertoli-Leydig cell tumor of ovary with an unusual presentation.

Indian journal of cancer·2009

Area of Science:

Environmental Science
Atmospheric Chemistry
Statistical Modeling

Background:

Ozone concentrations are significantly influenced by meteorological fluctuations.
Assessing long-term air quality trends requires accounting for these environmental variables.
Understanding emission impacts on ozone requires robust statistical approaches.

Purpose of the Study:

To present a statistical method for moderating meteorological influences on ozone concentrations.
To demonstrate the application of this technique for examining ambient ozone air quality trends.
To evaluate the method's ability to detect emission-driven changes in ozone levels.

Main Methods:

Development of a statistical filtering technique to isolate ozone concentration changes.
Application of the method to ozone data from a New Jersey monitoring site.
Analysis of trends in ambient ozone air quality under varying meteorological conditions.

Main Results:

The statistical method effectively filters out meteorological fluctuations.
The technique successfully detected changes in ozone air quality attributable to emission variations.
Demonstrated ability to discern emission impacts amidst meteorological variability.

Conclusions:

The proposed statistical method is effective for analyzing ozone trends.
This approach can reliably assess the impact of emission changes on air quality.
The method provides a valuable tool for evaluating regulatory effectiveness in improving ozone levels.

Related Experiment Videos