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The application of advanced inventory techniques in urban inventory data development to earthquake risk modeling and mitigation in mid-America.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	The application of advanced inventory techniques in urban inventory data development to earthquake risk modeling and mitigation in mid-America./
作者:	Muthukumar, Subrahmanyam.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2008,
面頁冊數:	343 p.
附註:	Source: Dissertations Abstracts International, Volume: 70-10, Section: A.
Contained By:	Dissertations Abstracts International70-10A.
標題:	Geotechnology. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3346035
ISBN:	9781109011647

The application of advanced inventory techniques in urban inventory data development to earthquake risk modeling and mitigation in mid-America.
Muthukumar, Subrahmanyam.

The application of advanced inventory techniques in urban inventory data development to earthquake risk modeling and mitigation in mid-America. - Ann Arbor : ProQuest Dissertations & Theses, 2008 - 343 p.

Source: Dissertations Abstracts International, Volume: 70-10, Section: A.

Thesis (Ph.D.)--Georgia Institute of Technology, 2008.

The process of modeling earthquake hazard risk and vulnerability is a prime component of mitigation planning, but is rife with epistemic, aleatory and factual uncertainty. Reducing uncertainty in such models yields significant benefits, both in terms of extending knowledge and increasing the efficiency and effectiveness of mitigation planning. An accurate description of the built environment as an input into loss estimation would reduce factual uncertainty in the modeling process. Building attributes for earthquake loss estimation and risk assessment modeling were identified. Three modules for developing the building attributes were proposed, including structure classification, building footprint recognition and building valuation. Data from primary sources and field surveys were collected from Shelby County, Tennessee, for calibration and validation of the structure type models and for estimation of various components of building value. Building footprint libraries were generated for implementation of algorithms to programmatically recognize two-dimensional building configurations. The modules were implemented to produce a building inventory for Shelby County, Tennessee that may be used effectively in loss estimation modeling. Validation of the building inventory demonstrates effectively that advanced technologies and methods may be effectively and innovatively applied on combinations of primary and derived data and replicated in order to produce a bottom-up, reliable, accurate and cost-effective building inventory.

ISBN: 9781109011647Subjects--Topical Terms:

1018558
Geotechnology.
Subjects--Index Terms:

Artificial neural networks

The application of advanced inventory techniques in urban inventory data development to earthquake risk modeling and mitigation in mid-America.
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