東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

In-situ observation of atmospheric p...

Harrison, William Alan.

FindBook

Google Book

Amazon

博客來

In-situ observation of atmospheric particulates.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	In-situ observation of atmospheric particulates./
作者:	Harrison, William Alan.
面頁冊數:	96 p.
附註:	Source: Dissertation Abstracts International, Volume: 77-01(E), Section: B.
Contained By:	Dissertation Abstracts International77-01B(E).
標題:	Atmospheric sciences. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3719374
ISBN:	9781321997071

In-situ observation of atmospheric particulates.
Harrison, William Alan.

In-situ observation of atmospheric particulates. - 96 p.

Source: Dissertation Abstracts International, Volume: 77-01(E), Section: B.

Thesis (Ph.D.)--The University of Texas at Dallas, 2015.

Airborne particulates play a central role in both the earth's radiation balance and as a trigger for a wide range of health impacts. Air quality monitors are placed in networks across many cities globally. Typically these provide at best a few recording locations per city. However, large spatial variability occurs on the neighborhood scale. This study sets out to comprehensively characterize a full size distribution from 0.25 - 32 ?m of airborne particulates on a fine spatial scale (meters). To fully characterize the impact of atmospheric particulates, global scale observations and data products are needed. Satellite products allow for this global coverage but require in situ validations. For the first part of this study data is gathered on a near daily basis over the month of May, 2014 in a 100 km2 area encompassing parts of Richardson, Texas, and Garland, Texas. Wind direction was determined to be the dominant factor in classifying the data. The highest mean PM2.5 concentration was 14.1 +/- 5.7 gm-3 corresponding to periods when the wind was out of the south. The lowest PM2.5 concentrations were observed after several consecutive days of rainfall. The rainfall was found to not only "cleanse" the air, leaving a mean PM2.5 concentration as low as 3.0 +/- 0.5 gm-3 , but to leave the region with a more uniform PM2.5 concentration. Variograms were used to determine an appropriate spatial scale for future sensor placement to provide measurements on a neighborhood scale and found that the spatial scales varied, depending on the synoptic weather pattern, from 0.8 km to 5.2 km, with a typical length scale of 1.7 km. This second part of this study used a zero emission remote-controlled aerial vehicle to look at the horizontal, vertical, and temporal variability of airborne particulates within the first 140 m of the atmosphere. Four flights where conducted on December 4, 2014 between 12:00 pm and 5:00 pm local time. The first three flights flew a pattern of increasing altitude up to 140 m. The fourth flight was conducted at a near constant altitude of 60 m. The mean PM2.5 concentration for the three flights with varying altitude was 36.3 gm-3, with the highest concentration occurring below 10 m altitude. The overall vertical variation was very small with a standard deviation of only 3.6 gm-3. PM2.5 concentration also did not change much throughout the day with mean concentrations for the altitude-varying flights of 35.1, 37.2, and 36.8 gm-3, respectively. The fourth flight, flown at a near constant altitude, had a lower concentration of 23.5 gm-3.

ISBN: 9781321997071Subjects--Topical Terms:

3168354
Atmospheric sciences.

In-situ observation of atmospheric particulates.
LDR:03436nmm a2200277 4500 001 2115945
005 20170417071258.5
008 180830s2015 ||||||||||||||||| ||eng d
020 $a 9781321997071
035 $a (MiAaPQ)AAI3719374
035 $a AAI3719374
040 $a MiAaPQ $c MiAaPQ
100 1 $a Harrison, William Alan. $3 3277619
245 1 0 $a In-situ observation of atmospheric particulates.
300 $a 96 p.
500 $a Source: Dissertation Abstracts International, Volume: 77-01(E), Section: B.
500 $a Adviser: David J. Lary.
502 $a Thesis (Ph.D.)--The University of Texas at Dallas, 2015.
520 $a Airborne particulates play a central role in both the earth's radiation balance and as a trigger for a wide range of health impacts. Air quality monitors are placed in networks across many cities globally. Typically these provide at best a few recording locations per city. However, large spatial variability occurs on the neighborhood scale. This study sets out to comprehensively characterize a full size distribution from 0.25 - 32 ?m of airborne particulates on a fine spatial scale (meters). To fully characterize the impact of atmospheric particulates, global scale observations and data products are needed. Satellite products allow for this global coverage but require in situ validations. For the first part of this study data is gathered on a near daily basis over the month of May, 2014 in a 100 km2 area encompassing parts of Richardson, Texas, and Garland, Texas. Wind direction was determined to be the dominant factor in classifying the data. The highest mean PM2.5 concentration was 14.1 +/- 5.7 gm-3 corresponding to periods when the wind was out of the south. The lowest PM2.5 concentrations were observed after several consecutive days of rainfall. The rainfall was found to not only "cleanse" the air, leaving a mean PM2.5 concentration as low as 3.0 +/- 0.5 gm-3 , but to leave the region with a more uniform PM2.5 concentration. Variograms were used to determine an appropriate spatial scale for future sensor placement to provide measurements on a neighborhood scale and found that the spatial scales varied, depending on the synoptic weather pattern, from 0.8 km to 5.2 km, with a typical length scale of 1.7 km. This second part of this study used a zero emission remote-controlled aerial vehicle to look at the horizontal, vertical, and temporal variability of airborne particulates within the first 140 m of the atmosphere. Four flights where conducted on December 4, 2014 between 12:00 pm and 5:00 pm local time. The first three flights flew a pattern of increasing altitude up to 140 m. The fourth flight was conducted at a near constant altitude of 60 m. The mean PM2.5 concentration for the three flights with varying altitude was 36.3 gm-3, with the highest concentration occurring below 10 m altitude. The overall vertical variation was very small with a standard deviation of only 3.6 gm-3. PM2.5 concentration also did not change much throughout the day with mean concentrations for the altitude-varying flights of 35.1, 37.2, and 36.8 gm-3, respectively. The fourth flight, flown at a near constant altitude, had a lower concentration of 23.5 gm-3.
590 $a School code: 0382.
650 4 $a Atmospheric sciences. $3 3168354
650 4 $a Physics. $3 516296
690 $a 0725
690 $a 0605
710 2 $a The University of Texas at Dallas. $b Physics. $3 2103712
773 0 $t Dissertation Abstracts International $g 77-01B(E).
790 $a 0382
791 $a Ph.D.
792 $a 2015
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3719374