World Health Organization ; World Health Organization Offeset Publication No. 51: Analysing and Interpreting Air Monitoring Data

By World Health Organization

Book Id: WPLBN0000060077
Format Type: PDF eBook:
File Size: 2.60 MB
Reproduction Date: 2005

Title:	World Health Organization ; World Health Organization Offeset Publication No. 51: Analysing and Interpreting Air Monitoring Data
Author:	World Health Organization
Volume:
Language:	English
Subject:	Health., Public health, Wellness programs
Collections:	Medical Library Collection, World Health Collection
Historic Publication Date:
Publisher:	World Health Organization


Citation APA MLA Chicago Health Organization, B. W. (n.d.). World Health Organization ; World Health Organization Offeset Publication No. 51. Retrieved from http://gutenberg.cc/

Description
Medical Reference Publication

Excerpt
FOREWORD If properly designed, any basic air monitoring programme can provide the data required to develop an air pollution control programme. Analyses of the data collected should relate directly to the purpose, or purposes, of the monitoring programme, the three most common being: (1) to observe trends; (2) to judge compliance with air quality standards and to evaluate control strategies; and (3) to evaluate risk to human health. Other analyses may also be important for local interest and accordingly must receive due attention. planning for the analysis of data should begin before any measurements are taken. ' In this way one.can be sure that only data relevant to the analysis are collected and that the appropriate ancillary information (meteorological, source emission, etc.) necessary for the data interpretation is available. Unfortunately in practice data are often collected rather haphazardly and only after some indefinite period is some analysis attempted. It is hoped that this document will assist not only in the analysis and interpretation of existing data but in the planning of efficient air quality monitoring programmes.

Table of Contents
CONTENTS Contributors and reviewers . . . . . . . . . . . . . . . . . . . . . . . . . 4 Foreword . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 ~ntroduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 1 Summarizing air quality data . . . . . . . . . . . . . . . . . . . . . 8 1.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 1.2 Presenting raw data . . . . . . . . . . . . . . . . . . . . . . . . . 8 1.3 Statisticalsummaries . . . . . . . . . . . . . . . . . . . . . . . . 1 0 1.4 Geographical summaries . . . . . . . . . . . . . . . . . . . . . . . . 1 7 2 Air quality data analysis . . . . . . . . . . . . . . . . . . . . . . . 21 2.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 1 2.2 Limitations of incomplete data sets . . . . . . . . . . . . . . . . . . 2 1 2.3 Air pollution data distributions . . . . . . . . . . . . . . . . . . . 24 2.4 Timeseries . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33 2.5 Analysis as a function of meteorological conditions . . . . . . . . . . 39 2.6 Correlation and regression techniques . . . . . . . . . . . . . . . . 42 3 Interpretation of air monitoring data . an example . . . . . . . . . . 45 3.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45 3.2 Data summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45 3.3 Frequency distribution analysis . . . . . . . . . . . . . . . . . . . 47 3 . 4 Trends . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 0 3.5 Comparison with standards or guides . . . . . . . . . . . . . . . . . 5 1 3.6 Calculation of required air pollution reductions . . . . . . . . . . . 51 References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 3 Annex1 . Values ofFisherls.t . . . . . . . . . . . . . . . . . . . . . . . 5 6 Annex 2 . Model log-probability paper . . . . . . . . . . . . . . . . . . . .5 7 Annex 3 . Ratio of maxima to arithmetic mean concentrations for various averaging times . . . . . . . . . . . . . . . . . . . 5 8 Annex 4 . Critical values of r the Spearman rank correlation coefficient . 59 s'