東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Linked to FindBook

Google Book

Amazon

博客來

Urban Form and Air Quality: Techniques and Applications.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Urban Form and Air Quality: Techniques and Applications./
Author:	Tian, Ye.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
Description:	229 p.
Notes:	Source: Dissertations Abstracts International, Volume: 83-08, Section: B.
Contained By:	Dissertations Abstracts International83-08B.
Subject:	Geography. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28715172
ISBN:	9798780621362

Urban Form and Air Quality: Techniques and Applications.
Tian, Ye.

Urban Form and Air Quality: Techniques and Applications. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 229 p.

Source: Dissertations Abstracts International, Volume: 83-08, Section: B.

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

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

More than half of the world's population is living in towns and cities. The United Nation predicted that 60% of the world's population will be living in urban regions by the year 2025, and the urban population will grow to 4.9 billion by 2030. On the one hand, the large proportion and rapid growth in the urban population will result in a potentially higher level of total harmful emissions, thus more citizens will suffer from deteriorated air quality. On the other hand, the spatial configurations and arrangements of different urban elements, collectively termed urban form, may dramatically affect human activities and the distribution of air pollutants. Thus, urban air quality varies with different designs of land uses pattern and urban infrastructure. However, urban form characteristics have not been widely applied in air quality research and their relationships with air quality have not been widely applied in related fields, such as urban planning, exposure assessment, and environmental justice, due to complicated environmental factors and individual behavioral patterns. As a result, applying GIScience to study the urban form-air quality relationship is crucial for modeling spatiotemporal heterogeneity of air pollutants, understanding human mobility patterns, and improving the accuracy of risk assessment. In this study, we try to analyze the urban form-air quality relationship, improve the understanding of spatiotemporal disparities of human exposure to urban air pollutants based on multiple geospatial data sources, such as remote sensing imagery, portable sensors, crowdsourced database, and mobile monitoring, and to make effective strategies to improve urban ecology in global cities. We find that urban form does impact air quality from both static and dynamic perspectives and meteorological factors have synergic effects on the urban form-air quality relationship.

ISBN: 9798780621362Subjects--Topical Terms:

524010
Geography.
Subjects--Index Terms:

Air quality

Urban Form and Air Quality: Techniques and Applications.
LDR:03106nmm a2200397 4500 001 2350492
005 20221020125957.5
008 241004s2021 ||||||||||||||||| ||eng d
020 $a 9798780621362
035 $a (MiAaPQ)AAI28715172
035 $a AAI28715172
040 $a MiAaPQ $c MiAaPQ
100 1 $a Tian, Ye. $3 1288756
245 1 0 $a Urban Form and Air Quality: Techniques and Applications.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2021
300 $a 229 p.
500 $a Source: Dissertations Abstracts International, Volume: 83-08, Section: B.
500 $a Includes supplementary digital materials.
500 $a Advisor: Yao, Xiaobai.
502 $a Thesis (Ph.D.)--University of Georgia, 2021.
506 $a This item must not be sold to any third party vendors.
520 $a More than half of the world's population is living in towns and cities. The United Nation predicted that 60% of the world's population will be living in urban regions by the year 2025, and the urban population will grow to 4.9 billion by 2030. On the one hand, the large proportion and rapid growth in the urban population will result in a potentially higher level of total harmful emissions, thus more citizens will suffer from deteriorated air quality. On the other hand, the spatial configurations and arrangements of different urban elements, collectively termed urban form, may dramatically affect human activities and the distribution of air pollutants. Thus, urban air quality varies with different designs of land uses pattern and urban infrastructure. However, urban form characteristics have not been widely applied in air quality research and their relationships with air quality have not been widely applied in related fields, such as urban planning, exposure assessment, and environmental justice, due to complicated environmental factors and individual behavioral patterns. As a result, applying GIScience to study the urban form-air quality relationship is crucial for modeling spatiotemporal heterogeneity of air pollutants, understanding human mobility patterns, and improving the accuracy of risk assessment. In this study, we try to analyze the urban form-air quality relationship, improve the understanding of spatiotemporal disparities of human exposure to urban air pollutants based on multiple geospatial data sources, such as remote sensing imagery, portable sensors, crowdsourced database, and mobile monitoring, and to make effective strategies to improve urban ecology in global cities. We find that urban form does impact air quality from both static and dynamic perspectives and meteorological factors have synergic effects on the urban form-air quality relationship.
590 $a School code: 0077.
650 4 $a Geography. $3 524010
650 4 $a Urban planning. $3 2122922
650 4 $a Geographic information science. $3 3432445
650 4 $a Aeronomy. $3 2102064
653 $a Air quality
653 $a GIScience
653 $a Spatiotemporal disparities
653 $a Synergic effects
653 $a Urban form
690 $a 0370
690 $a 0366
690 $a 0999
690 $a 0367
710 2 $a University of Georgia. $b Geography - PHD. $3 3689981
773 0 $t Dissertations Abstracts International $g 83-08B.
790 $a 0077
791 $a Ph.D.
792 $a 2021
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28715172