國立虎尾科技大學 |

登入

回首頁

ANN modeling of ambient particulate ...

ProQuest Information and Learning Co.

ANN modeling of ambient particulate matter in Fort McKay, Alberta.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	ANN modeling of ambient particulate matter in Fort McKay, Alberta./
作者:	He, Yaming.
面頁冊數:	1 online resource (150 pages)
附註:	Source: Masters Abstracts International, Volume: 43-03, page: 9540.
Contained By:	Masters Abstracts International43-03.
標題:	Environmental engineering. -
電子資源:	click for full text (PQDT)
ISBN:	9780612957626

ANN modeling of ambient particulate matter in Fort McKay, Alberta.
He, Yaming.

ANN modeling of ambient particulate matter in Fort McKay, Alberta. - 1 online resource (150 pages)

Source: Masters Abstracts International, Volume: 43-03, page: 9540.

Thesis (M.Sc.)--University of Alberta (Canada), 2004.

Includes bibliographical references

Particulate matter with a diameter smaller than 2.5 mum (PM2.5 ) is a key urban air pollutant. Modeling of ambient PM2.5 is considered important for understanding its contribution sources. However, conventional models employing mathematical formulae are difficult to use for modeling ambient PM2.5 because of complexities involved in its formation and behaviour in the atmosphere.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780612957626Subjects--Topical Terms:

557376
Environmental engineering.
Index Terms--Genre/Form:

554714
Electronic books.

ANN modeling of ambient particulate matter in Fort McKay, Alberta.
LDR:02223ntm a2200349Ki 4500 001 917009
005 20180928111504.5
006 m o u
007 cr mn||||a|a||
008 190606s2004 xx obm 000 0 eng d
020 $a 9780612957626
035 $a (MiAaPQ)AAIMQ95762
035 $a AAIMQ95762
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a He, Yaming. $3 1190910
245 1 0 $a ANN modeling of ambient particulate matter in Fort McKay, Alberta.
264 0 $c 2004
300 $a 1 online resource (150 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Masters Abstracts International, Volume: 43-03, page: 9540.
500 $a Adviser: Warren B. Kindzierski.
502 $a Thesis (M.Sc.)--University of Alberta (Canada), 2004.
504 $a Includes bibliographical references
520 $a Particulate matter with a diameter smaller than 2.5 mum (PM2.5 ) is a key urban air pollutant. Modeling of ambient PM2.5 is considered important for understanding its contribution sources. However, conventional models employing mathematical formulae are difficult to use for modeling ambient PM2.5 because of complexities involved in its formation and behaviour in the atmosphere.
520 $a Artificial neural network (ANN) is more suited to solving complex non-linear problems associated with formation and behaviour of PM2.5 in the atmosphere. ANN was used to model ambient PM2.5 concentrations at Fort McKay, Alberta in order to examine the potential influence of operations at the Syncrude Canada Ltd. Mildred Lake oilsand facility.
520 $a Results of ANN modeling were able to demonstrate that changes in ambient PM2.5 concentrations at Fort McKay, Alberta were, in part, due to changes in ambient PM2.5 concentrations observed at the Syncrude facility. ANN showed promise as a tool for predicting ambient PM2.5 concentrations.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Environmental engineering. $3 557376
650 4 $a Physics, Atmospheric Science. $3 1190893
655 7 $a Electronic books. $2 local $3 554714
690 $a 0775
690 $a 0608
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a University of Alberta (Canada). $3 845604
773 0 $t Masters Abstracts International $g 43-03.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MQ95762 $z click for full text (PQDT)

筆 0 讀者評論

多媒體

評論

新增評論分享你的心得

Export

取書館別