Predicting the frequency of extreme air quality events-Reference-Cited by-同舟云学术

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Predicting the frequency of extreme air quality events

Published:2017 Issue:12 Volume:19 Page:1499-1504
ISSN:2050-7887
Container-title:Environmental Science: Processes & Impacts
language:en
Short-container-title:Environ. Sci.: Processes Impacts

Author:

Brown Richard J. C.¹²³^ORCID,Harris Peter M.¹²³

Affiliation:

1. National Physical Laboratory

2. Teddington

3. UK

Abstract

A new method for predicting the frequency of extreme air quality events is proposed.

Funder

Department for Business, Energy & Industrial Strategy

Publisher

Royal Society of Chemistry (RSC)

Subject

Management, Monitoring, Policy and Law,Public Health, Environmental and Occupational Health,Environmental Chemistry,General Medicine

Link

http://pubs.rsc.org/en/content/articlepdf/2017/EM/C7EM00401J

Reference22 articles.

1. Simplicity within complexity: Seasonality and predictability of hospital admissions in the province of Ontario 1988–2001, a population-based analysis

2. Comparison of the seasonal patterns of asthma identified in general practitioner episodes, hospital admissions, and deaths

3. Incorporating efficiency in hospital-capacity planning in Germany

4. Early life exposure to ambient air pollution and childhood asthma in China

5. Air Pollution and Hospital Admissions for Respiratory Disease

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