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

Optimal Design of Green Roofs: Mathe...

Hong, Jing.

Linked to FindBook

Google Book

Amazon

博客來

Optimal Design of Green Roofs: Mathematical Model and Experimental Evidence = = 绿色屋顶的优化设计：数学模型及实验数据的结合.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Optimal Design of Green Roofs: Mathematical Model and Experimental Evidence =/
Reminder of title:	绿色屋顶的优化设计：数学模型及实验数据的结合.
Author:	Hong, Jing.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2018,
Description:	188 p.
Notes:	Source: Dissertations Abstracts International, Volume: 80-03, Section: B.
Contained By:	Dissertations Abstracts International80-03B.
Subject:	Thermodynamics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10831597
ISBN:	9780438358775

Optimal Design of Green Roofs: Mathematical Model and Experimental Evidence = = 绿色屋顶的优化设计：数学模型及实验数据的结合.
Hong, Jing.

Optimal Design of Green Roofs: Mathematical Model and Experimental Evidence =绿色屋顶的优化设计：数学模型及实验数据的结合. - Ann Arbor : ProQuest Dissertations & Theses, 2018 - 188 p.

Source: Dissertations Abstracts International, Volume: 80-03, Section: B.

Thesis (Ph.D.)--The University of Wisconsin - Milwaukee, 2018.

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

Green roofs ease the heat island effect and decrease stormwater runoff. Optimizing green roof design helps achieve these goals more efficiently. This dissertation proposes energy and mass models of green roofs and validates them through experimental evidence. The energy and mass transfer models proposed in this dissertation can be programmed in any simulation tools, and benefits architects and engineers optimizing their green roof design. The mathematical models of green roofs were validated by the measured soil temperature and water content of the Golda Meir Library green roof. Using energy and mass balance models, this research found the effects of the surface color, soil depth, and plant types on the surface temperature of a green roof. The green roof surface temperature can be reduced by lighter surface colors, shallow soil depth, and the use of plants with lower internal leaf resistance and larger leaf size. It also found the effects of the vegetation coverage, soil porosity and depth and plant types on stormwater runoff reduction. The stormwater runoff can be reduced by higher vegetation coverage, larger soil porosity (void fraction) depth, and the use of plants with lower internal leaf resistance and larger leaf size.

ISBN: 9780438358775Subjects--Topical Terms:

517304
Thermodynamics.

Optimal Design of Green Roofs: Mathematical Model and Experimental Evidence = = 绿色屋顶的优化设计：数学模型及实验数据的结合.
LDR:02426nmm a2200337 4500 001 2207945
005 20190929184016.5
008 201008s2018 ||||||||||||||||| ||eng d
020 $a 9780438358775
035 $a (MiAaPQ)AAI10831597
035 $a (MiAaPQ)uwm:12178
035 $a AAI10831597
040 $a MiAaPQ $c MiAaPQ
100 1 $a Hong, Jing. $3 3434944
245 1 0 $a Optimal Design of Green Roofs: Mathematical Model and Experimental Evidence = $b 绿色屋顶的优化设计：数学模型及实验数据的结合.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2018
300 $a 188 p.
500 $a Source: Dissertations Abstracts International, Volume: 80-03, Section: B.
500 $a Publisher info.: Dissertation/Thesis.
500 $a Advisor: Utzinger, Michael.
502 $a Thesis (Ph.D.)--The University of Wisconsin - Milwaukee, 2018.
506 $a This item must not be sold to any third party vendors.
520 $a Green roofs ease the heat island effect and decrease stormwater runoff. Optimizing green roof design helps achieve these goals more efficiently. This dissertation proposes energy and mass models of green roofs and validates them through experimental evidence. The energy and mass transfer models proposed in this dissertation can be programmed in any simulation tools, and benefits architects and engineers optimizing their green roof design. The mathematical models of green roofs were validated by the measured soil temperature and water content of the Golda Meir Library green roof. Using energy and mass balance models, this research found the effects of the surface color, soil depth, and plant types on the surface temperature of a green roof. The green roof surface temperature can be reduced by lighter surface colors, shallow soil depth, and the use of plants with lower internal leaf resistance and larger leaf size. It also found the effects of the vegetation coverage, soil porosity and depth and plant types on stormwater runoff reduction. The stormwater runoff can be reduced by higher vegetation coverage, larger soil porosity (void fraction) depth, and the use of plants with lower internal leaf resistance and larger leaf size.
590 $a School code: 0263.
650 4 $a Thermodynamics. $3 517304
650 4 $a Architectural engineering. $3 3174102
650 4 $a Sustainability. $3 1029978
690 $a 0348
690 $a 0462
690 $a 0640
710 2 $a The University of Wisconsin - Milwaukee. $b Architecture. $3 3183676
773 0 $t Dissertations Abstracts International $g 80-03B.
790 $a 0263
791 $a Ph.D.
792 $a 2018
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10831597