A framework for delineating the regional boundaries of PM2.5 pollution: A case study of China

A framework for delineating the regional boundaries of PM2.5 pollution: A case study of China Fine particulate matter (PM2.5) pollution has been a major issue in many countries. Considerable studies have demonstrated that PM2.5 pollution is a regional issue, but little research has been done to investigate the regional extent of PM2.5 pollution or to define areas in which PM2.5 pollutants interact. To allow for a better understanding of the regional nature and spatial patterns of PM2.5 pollution, This study proposes a novel framework for delineating regional boundaries of PM2.5 pollution. The framework consists of four steps, including cross-correlation analysis, time-series clustering, generation of Voronoi polygons, and polygon smoothing using polynomial approximation with exponential kernel method. Using the framework, the regional PM2.5 boundaries for China are produced and the boundaries define areas where the monthly PM2.5 time series of any two cities show, on average, more than 50% similarity with each other. These areas demonstrate straightforwardly that PM2.5 pollution is not limited to a single city or a single province. We also found that the PM2.5 areas in China tend to be larger in cold months, but more fragmented in warm months, suggesting that, in cold months, the interactions between PM2.5 concentrations in adjacent cities are stronger than in warmer months. The proposed framework provides a tool to delineate PM2.5 boundaries and identify areas where PM2.5 pollutants interact. It can help define air pollution management zones and assess impacts related to PM2.5 pollution. It can also be used in analyses of other air pollutants. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Environmental Pollution Elsevier

A framework for delineating the regional boundaries of PM2.5 pollution: A case study of China

Loading next page...
 
/lp/elsevier/a-framework-for-delineating-the-regional-boundaries-of-pm2-5-pollution-em3407U2GD
Publisher
Elsevier
Copyright
Copyright © 2017 Elsevier Ltd
ISSN
0269-7491
D.O.I.
10.1016/j.envpol.2017.12.064
Publisher site
See Article on Publisher Site

Abstract

Fine particulate matter (PM2.5) pollution has been a major issue in many countries. Considerable studies have demonstrated that PM2.5 pollution is a regional issue, but little research has been done to investigate the regional extent of PM2.5 pollution or to define areas in which PM2.5 pollutants interact. To allow for a better understanding of the regional nature and spatial patterns of PM2.5 pollution, This study proposes a novel framework for delineating regional boundaries of PM2.5 pollution. The framework consists of four steps, including cross-correlation analysis, time-series clustering, generation of Voronoi polygons, and polygon smoothing using polynomial approximation with exponential kernel method. Using the framework, the regional PM2.5 boundaries for China are produced and the boundaries define areas where the monthly PM2.5 time series of any two cities show, on average, more than 50% similarity with each other. These areas demonstrate straightforwardly that PM2.5 pollution is not limited to a single city or a single province. We also found that the PM2.5 areas in China tend to be larger in cold months, but more fragmented in warm months, suggesting that, in cold months, the interactions between PM2.5 concentrations in adjacent cities are stronger than in warmer months. The proposed framework provides a tool to delineate PM2.5 boundaries and identify areas where PM2.5 pollutants interact. It can help define air pollution management zones and assess impacts related to PM2.5 pollution. It can also be used in analyses of other air pollutants.

Journal

Environmental PollutionElsevier

Published: Apr 1, 2018

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create lists to
organize your research

Export lists, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off