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

FindBook

Google Book

Amazon

博客來

Mapping, Spatial and Temporal Modeling of Urban Heat Islands in Baton Rouge.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Mapping, Spatial and Temporal Modeling of Urban Heat Islands in Baton Rouge./
作者:	Namwamba, John Bosco Osimbo.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:	153 p.
附註:	Source: Dissertations Abstracts International, Volume: 83-02, Section: B.
Contained By:	Dissertations Abstracts International83-02B.
標題:	Urban forestry. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28497458
ISBN:	9798534677096

Mapping, Spatial and Temporal Modeling of Urban Heat Islands in Baton Rouge.
Namwamba, John Bosco Osimbo.

Mapping, Spatial and Temporal Modeling of Urban Heat Islands in Baton Rouge. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 153 p.

Source: Dissertations Abstracts International, Volume: 83-02, Section: B.

Thesis (Ph.D.)--Southern University and Agricultural and Mechanical College, 2021.

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

The goal of this study was to determine whether the local weather data was correlated to corresponding study sites' data and assess urban heat islands in a study area within Baton Rouge on spatial and temporal basis. The weather element used in the study was temperature. The study also compared corresponding temperature data from different data collection zone categories to establish correlations and trends. Three hypotheses were proposed for the study. Statistical analyses established strong correlations between weather data (temperature) and corresponding data collection sites values (shown in statistical analysis tables and graphs) with the probabilities less than 0.05. Corresponding data from different data collection stations was also found to be strongly correlated (p<0.05). Differences between corresponding mean temperatures under and outside tree canopies were found to be statistically significant (p<0.05). The corresponding mean temperatures of data from similar classes from different locations was found to have no statistically significant difference (p>0.05). Each hypothesis was examined, and findings concluded. The study has generated new insights on the local trends of Urban Heat Islands in southern Louisiana, and further studies will clarify and solidify these findings.

ISBN: 9798534677096Subjects--Topical Terms:

704817
Urban forestry.
Subjects--Index Terms:

Cooling benefits

Mapping, Spatial and Temporal Modeling of Urban Heat Islands in Baton Rouge.
LDR:02588nmm a2200421 4500 001 2347338
005 20220722112720.5
008 241004s2021 ||||||||||||||||| ||eng d
020 $a 9798534677096
035 $a (MiAaPQ)AAI28497458
035 $a AAI28497458
040 $a MiAaPQ $c MiAaPQ
100 1 $a Namwamba, John Bosco Osimbo. $0 (orcid)0000-0003-3153-6492 $3 3686566
245 1 0 $a Mapping, Spatial and Temporal Modeling of Urban Heat Islands in Baton Rouge.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2021
300 $a 153 p.
500 $a Source: Dissertations Abstracts International, Volume: 83-02, Section: B.
500 $a Advisor: Abdollahi, Kamran.
502 $a Thesis (Ph.D.)--Southern University and Agricultural and Mechanical College, 2021.
506 $a This item must not be sold to any third party vendors.
520 $a The goal of this study was to determine whether the local weather data was correlated to corresponding study sites' data and assess urban heat islands in a study area within Baton Rouge on spatial and temporal basis. The weather element used in the study was temperature. The study also compared corresponding temperature data from different data collection zone categories to establish correlations and trends. Three hypotheses were proposed for the study. Statistical analyses established strong correlations between weather data (temperature) and corresponding data collection sites values (shown in statistical analysis tables and graphs) with the probabilities less than 0.05. Corresponding data from different data collection stations was also found to be strongly correlated (p<0.05). Differences between corresponding mean temperatures under and outside tree canopies were found to be statistically significant (p<0.05). The corresponding mean temperatures of data from similar classes from different locations was found to have no statistically significant difference (p>0.05). Each hypothesis was examined, and findings concluded. The study has generated new insights on the local trends of Urban Heat Islands in southern Louisiana, and further studies will clarify and solidify these findings.
590 $a School code: 1218.
650 4 $a Urban forestry. $3 704817
650 4 $a Geographic information science. $3 3432445
650 4 $a Urban planning. $3 2122922
650 4 $a Research. $3 531893
650 4 $a Volatile organic compounds--VOCs. $3 3683745
650 4 $a Pollutants. $3 551065
650 4 $a Forestry. $3 895157
650 4 $a Trends. $3 3560051
650 4 $a Buildings. $3 861672
650 4 $a Emissions. $3 3559499
650 4 $a Weather. $3 523974
650 4 $a Chronic illnesses. $3 3550688
650 4 $a Leaves. $3 603951
650 4 $a Air pollution. $3 888377
650 4 $a Data analysis. $2 bisacsh $3 3515250
650 4 $a Population growth. $3 3562887
650 4 $a Energy. $3 876794
650 4 $a Confidence intervals. $3 566017
650 4 $a Climate change. $2 bicssc $3 2079509
650 4 $a Vehicles. $3 2145288
650 4 $a Vegetation. $3 3560047
650 4 $a Greenhouse gases. $3 797971
650 4 $a Hypotheses. $3 3560118
650 4 $a Migration. $3 899018
650 4 $a Trees. $3 516384
650 4 $a Urban areas. $3 3546012
650 4 $a Cities. $3 3544022
653 $a Cooling benefits
653 $a Correlation
653 $a Modeling
653 $a Spatial mapping
653 $a Temperature
653 $a Urban heat Islands
690 $a 0281
690 $a 0370
690 $a 0999
690 $a 0791
690 $a 0404
690 $a 0478
710 2 $a Southern University and Agricultural and Mechanical College. $b Urban Forestry. $3 3283074
773 0 $t Dissertations Abstracts International $g 83-02B.
790 $a 1218
791 $a Ph.D.
792 $a 2021
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28497458