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Approaches to Particulate Matter Monitoring, Sampling and Analysis for Personal Exposure Evaluation.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Approaches to Particulate Matter Monitoring, Sampling and Analysis for Personal Exposure Evaluation./
Author:	He, Jiayang.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
Description:	137 p.
Notes:	Source: Dissertations Abstracts International, Volume: 83-05, Section: B.
Contained By:	Dissertations Abstracts International83-05B.
Subject:	Mechanical engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28722539
ISBN:	9798492725419

Approaches to Particulate Matter Monitoring, Sampling and Analysis for Personal Exposure Evaluation.
He, Jiayang.

Approaches to Particulate Matter Monitoring, Sampling and Analysis for Personal Exposure Evaluation. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 137 p.

Source: Dissertations Abstracts International, Volume: 83-05, Section: B.

Thesis (Ph.D.)--University of Washington, 2021.

This item must not be sold to any third party vendors.

Aerosol is a suspension of airborne particles in the air or other gas. It is more commonly known as Particulate Matter (PM). Aerosols are ubiquitous throughout our environment in various forms, such as dust, fume, smog, mist, etc. They originate from both natural and anthropogenic sources. Some natural aerosols include pollen, sea salts, smoke from forest fires, and desert dust. Examples of anthropogenic sources include mobile and industrial combustion, construction sites, domestic fuel burning. These aerosols come in a wide range in size from a few nanometers (nm)-less than the width of the smallest viruses-to several tens of micrometers (µm)-about the diameter of human hair. They have significant impacts on climate, human health, and quality of life. This work focuses on developing tools and methods for monitoring, sampling, and analyzing course, fine and ultrafine aerosols (between 10 nm and 10 µm) to study and mitigate their health impact.

ISBN: 9798492725419Subjects--Topical Terms:

649730
Mechanical engineering.
Subjects--Index Terms:

Aerosol sampling

Approaches to Particulate Matter Monitoring, Sampling and Analysis for Personal Exposure Evaluation.
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100 1 $a He, Jiayang. $3 3680788
245 1 0 $a Approaches to Particulate Matter Monitoring, Sampling and Analysis for Personal Exposure Evaluation.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2021
300 $a 137 p.
500 $a Source: Dissertations Abstracts International, Volume: 83-05, Section: B.
500 $a Advisor: Novosselov, Igor.
502 $a Thesis (Ph.D.)--University of Washington, 2021.
506 $a This item must not be sold to any third party vendors.
520 $a Aerosol is a suspension of airborne particles in the air or other gas. It is more commonly known as Particulate Matter (PM). Aerosols are ubiquitous throughout our environment in various forms, such as dust, fume, smog, mist, etc. They originate from both natural and anthropogenic sources. Some natural aerosols include pollen, sea salts, smoke from forest fires, and desert dust. Examples of anthropogenic sources include mobile and industrial combustion, construction sites, domestic fuel burning. These aerosols come in a wide range in size from a few nanometers (nm)-less than the width of the smallest viruses-to several tens of micrometers (µm)-about the diameter of human hair. They have significant impacts on climate, human health, and quality of life. This work focuses on developing tools and methods for monitoring, sampling, and analyzing course, fine and ultrafine aerosols (between 10 nm and 10 µm) to study and mitigate their health impact.
590 $a School code: 0250.
650 4 $a Mechanical engineering. $3 649730
650 4 $a Environmental engineering. $3 548583
650 4 $a Atmospheric chemistry. $3 544140
650 4 $a Atmospheric sciences. $3 3168354
653 $a Aerosol sampling
653 $a EEM
653 $a PM Monitoring
653 $a PM sensor network
653 $a ROS
653 $a Wildfire smoke
690 $a 0548
690 $a 0775
690 $a 0474
690 $a 0371
690 $a 0725
710 2 $a University of Washington. $b Mechanical Engineering. $3 2092993
773 0 $t Dissertations Abstracts International $g 83-05B.
790 $a 0250
791 $a Ph.D.
792 $a 2021
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28722539