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

Projecting Wildfire Emissions and Th...

Shankar, Uma.

FindBook

Google Book

Amazon

博客來

Projecting Wildfire Emissions and Their Air Quality Impacts in the Southeastern U.S. From 2010 to Mid-Century.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Projecting Wildfire Emissions and Their Air Quality Impacts in the Southeastern U.S. From 2010 to Mid-Century./
作者:	Shankar, Uma.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2019,
面頁冊數:	206 p.
附註:	Source: Dissertations Abstracts International, Volume: 80-12, Section: B.
Contained By:	Dissertations Abstracts International80-12B.
標題:	Aeronomy. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13859397
ISBN:	9781392203958

Projecting Wildfire Emissions and Their Air Quality Impacts in the Southeastern U.S. From 2010 to Mid-Century.
Shankar, Uma.

Projecting Wildfire Emissions and Their Air Quality Impacts in the Southeastern U.S. From 2010 to Mid-Century. - Ann Arbor : ProQuest Dissertations & Theses, 2019 - 206 p.

Source: Dissertations Abstracts International, Volume: 80-12, Section: B.

Thesis (Ph.D.)--The University of North Carolina at Chapel Hill, 2019.

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

Wildfires can severely impair the health of ecosystems, life forms and regional economies. In the rapidly changing U. S. Southeast, both climate and socioeconomic factors (e.g., population and income) drive wildfires, and need to be represented in wildfire inventories to assess the air quality (AQ) impacts and health risks of wildfires long-term. This motivated the development of a wildfire emissions projection methodology leveraging published models of annual areas burned (AAB) based on county-level socioeconomic and climate projections for 2011-2060. It is applied to project two sets of AAB with different climate downscaling approaches, to estimate wildfire emissions for 2010 and four mid-century years. These are compared with emissions estimated using 18-year historical mean AAB without changes in climate and socioeconomics. Competing climate and socioeconomic factors result in 7% - 32% lower projected AAB than historical values, and 13% - 62% lower fine particulate matter (PM2.5) emissions than estimated from historical AAB in the selected years, with climate driving their temporal variability.Evaluation of the emissions projection methods in air quality (AQ) simulations against those using the National Emissions Inventory (NEI), and network observations for 2010 show little difference among the methods in ozone (0.08% - 0.93%) and PM2.5 (1% - 8%). Larger, comparable biases relative to observations in all three methods for secondary species, especially in winter, are attributable to non-wildfire emissions or secondary chemical production. The projection methods predict primary wildfire PM better than the NEI, providing confidence that they can assess current wildfire AQ impacts, while enabling longer-term AQ assessments unachievable with static inventories.AQ simulations using the projected wildfire emissions, and projected emission reductions in SOx and NOx from energy and transportation (by ∼80% at mid-century) show peak periods and locations of wildfire impacts on ozone and PM shifting from autumn in Midwestern locations in 2010, to warmer and drier summers east and south by mid-century, following the AAB spatiotemporal patterns. Although considerably lower than 2010 levels, summertime PM2.5 increases by 4%-5% in 2040-2060 in this emission scenario, driven by increases in OC and unspeciated other PM.

ISBN: 9781392203958Subjects--Topical Terms:

2102064
Aeronomy.

Projecting Wildfire Emissions and Their Air Quality Impacts in the Southeastern U.S. From 2010 to Mid-Century.
LDR:03542nmm a2200349 4500 001 2210788
005 20191121124312.5
008 201008s2019 ||||||||||||||||| ||eng d
020 $a 9781392203958
035 $a (MiAaPQ)AAI13859397
035 $a (MiAaPQ)unc:18640
035 $a AAI13859397
040 $a MiAaPQ $c MiAaPQ
100 1 $a Shankar, Uma. $3 3437925
245 1 0 $a Projecting Wildfire Emissions and Their Air Quality Impacts in the Southeastern U.S. From 2010 to Mid-Century.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2019
300 $a 206 p.
500 $a Source: Dissertations Abstracts International, Volume: 80-12, Section: B.
500 $a Publisher info.: Dissertation/Thesis.
500 $a Advisor: Vizuete, William G.;Binkowski, Francis S.
502 $a Thesis (Ph.D.)--The University of North Carolina at Chapel Hill, 2019.
506 $a This item must not be sold to any third party vendors.
520 $a Wildfires can severely impair the health of ecosystems, life forms and regional economies. In the rapidly changing U. S. Southeast, both climate and socioeconomic factors (e.g., population and income) drive wildfires, and need to be represented in wildfire inventories to assess the air quality (AQ) impacts and health risks of wildfires long-term. This motivated the development of a wildfire emissions projection methodology leveraging published models of annual areas burned (AAB) based on county-level socioeconomic and climate projections for 2011-2060. It is applied to project two sets of AAB with different climate downscaling approaches, to estimate wildfire emissions for 2010 and four mid-century years. These are compared with emissions estimated using 18-year historical mean AAB without changes in climate and socioeconomics. Competing climate and socioeconomic factors result in 7% - 32% lower projected AAB than historical values, and 13% - 62% lower fine particulate matter (PM2.5) emissions than estimated from historical AAB in the selected years, with climate driving their temporal variability.Evaluation of the emissions projection methods in air quality (AQ) simulations against those using the National Emissions Inventory (NEI), and network observations for 2010 show little difference among the methods in ozone (0.08% - 0.93%) and PM2.5 (1% - 8%). Larger, comparable biases relative to observations in all three methods for secondary species, especially in winter, are attributable to non-wildfire emissions or secondary chemical production. The projection methods predict primary wildfire PM better than the NEI, providing confidence that they can assess current wildfire AQ impacts, while enabling longer-term AQ assessments unachievable with static inventories.AQ simulations using the projected wildfire emissions, and projected emission reductions in SOx and NOx from energy and transportation (by ∼80% at mid-century) show peak periods and locations of wildfire impacts on ozone and PM shifting from autumn in Midwestern locations in 2010, to warmer and drier summers east and south by mid-century, following the AAB spatiotemporal patterns. Although considerably lower than 2010 levels, summertime PM2.5 increases by 4%-5% in 2040-2060 in this emission scenario, driven by increases in OC and unspeciated other PM.
590 $a School code: 0153.
650 4 $a Aeronomy. $3 2102064
650 4 $a Atmospheric Chemistry. $3 1669583
650 4 $a Meteorology. $3 542822
650 4 $a Atmospheric sciences. $3 3168354
690 $a 0367
690 $a 0371
690 $a 0557
690 $a 0725
710 2 $a The University of North Carolina at Chapel Hill. $b Environmental Sciences and Engineering. $3 2104684
773 0 $t Dissertations Abstracts International $g 80-12B.
790 $a 0153
791 $a Ph.D.
792 $a 2019
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13859397