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Time Series Analysis of Fine Particu...

Peng, Yang.

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Time Series Analysis of Fine Particulates Matter (PM2.5) in Chaoyang District of Beijing.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Time Series Analysis of Fine Particulates Matter (PM2.5) in Chaoyang District of Beijing./
Author:	Peng, Yang.
Description:	40 p.
Notes:	Source: Masters Abstracts International, Volume: 52-02.
Contained By:	Masters Abstracts International52-02(E).
Subject:	Environmental Health. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1545716
ISBN:	9781303415920

Time Series Analysis of Fine Particulates Matter (PM2.5) in Chaoyang District of Beijing.
Peng, Yang.

Time Series Analysis of Fine Particulates Matter (PM2.5) in Chaoyang District of Beijing. - 40 p.

Source: Masters Abstracts International, Volume: 52-02.

Thesis (M.S.)--University of Nevada, Reno, 2013.

Air pollution in Beijing is becoming hard to ignore, however, there are no long-term studies examining the particle pollution such as PM 2.5 concentration. This study describes current and predicts future PM 2.5 pollution for a three-year period, 1st January 2010 to 31st December 2012, from the U.S. Embassy monitoring site in Chaoyang, Beijing. We calculated the 24-hour and annual PM2.5 concentrations under EPA method and using the Box-Jenkins method to build a SARIMA model (Seasonal Autoregressive Integrated Moving Average). The results showed the PM2.5 concentration decreased from 2010 to 2012. The 24-hour PM2.5 concentration was 294&mgr;g/m3, ranged from 265.2&mgr;g/m3 to 318.5&mgr;g/m3. And the annual PM2.5 concentration was 94.5&mgr;g/m3 which yearly range from 89.5&mgr;g/m3 to 99.0&mgr;g/m3 and the quarterly value from 73.1&mgr;g/m3 to 108.6&mgr;g/m 3. The 24-hours and annual concentration is about 7 to 8 times higher than the US National Ambient Air Quality Standard (NAAQS). There is an urgent need for long-term studies to guide policy makers to improve the air quality in Beijing.

ISBN: 9781303415920Subjects--Topical Terms:

578282
Environmental Health.

Time Series Analysis of Fine Particulates Matter (PM2.5) in Chaoyang District of Beijing.
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020 $a 9781303415920
035 $a (MiAaPQ)AAI1545716
035 $a AAI1545716
040 $a MiAaPQ $c MiAaPQ
100 1 $a Peng, Yang. $3 2104585
245 1 0 $a Time Series Analysis of Fine Particulates Matter (PM2.5) in Chaoyang District of Beijing.
300 $a 40 p.
500 $a Source: Masters Abstracts International, Volume: 52-02.
500 $a Adviser: Wei Yang.
502 $a Thesis (M.S.)--University of Nevada, Reno, 2013.
520 $a Air pollution in Beijing is becoming hard to ignore, however, there are no long-term studies examining the particle pollution such as PM 2.5 concentration. This study describes current and predicts future PM 2.5 pollution for a three-year period, 1st January 2010 to 31st December 2012, from the U.S. Embassy monitoring site in Chaoyang, Beijing. We calculated the 24-hour and annual PM2.5 concentrations under EPA method and using the Box-Jenkins method to build a SARIMA model (Seasonal Autoregressive Integrated Moving Average). The results showed the PM2.5 concentration decreased from 2010 to 2012. The 24-hour PM2.5 concentration was 294&mgr;g/m3, ranged from 265.2&mgr;g/m3 to 318.5&mgr;g/m3. And the annual PM2.5 concentration was 94.5&mgr;g/m3 which yearly range from 89.5&mgr;g/m3 to 99.0&mgr;g/m3 and the quarterly value from 73.1&mgr;g/m3 to 108.6&mgr;g/m 3. The 24-hours and annual concentration is about 7 to 8 times higher than the US National Ambient Air Quality Standard (NAAQS). There is an urgent need for long-term studies to guide policy makers to improve the air quality in Beijing.
590 $a School code: 0139.
650 4 $a Environmental Health. $3 578282
650 4 $a Environmental Sciences. $3 676987
650 4 $a Environmental Studies. $3 1669635
690 $a 0470
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690 $a 0477
710 2 $a University of Nevada, Reno. $b Environmental Sciences and Health. $3 2104586
773 0 $t Masters Abstracts International $g 52-02(E).
790 $a 0139
791 $a M.S.
792 $a 2013
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1545716