Theses and Dissertations

Jin Wang

Issuing Body

Mississippi State University

Advisor

Li, Xiaopeng

Committee Member

Eksioglu, Burak

Committee Member

DuBien, Janice

Committee Member

Zhang, Li

Date of Degree

5-17-2014

Original embargo terms

MSU Only Indefinitely

Document Type

Graduate Thesis - Campus Access Only

Major

Civil Engineering

Degree Name

Master of Science

College

James Worth Bagley College of Engineering

Department

Department of Civil and Environmental Engineering

Abstract

Flooding is one of the fatal natural hazards frequently generating serious impact to infrastructures. As yet, its characteristics are expected to be changing with the changing of global climate. This paper identifies the spatio-temporal correlation patterns of disruptions by flooding hazards at the county-level for the Deep South in the United States, particularly the state of Arkansas. The frequency of each flooding disruption calculated as time series, is generated from flooding records within research period of 1998-2013. A set of quality control procedures including duplicated data check, spatial outliers check, and homogeneity test is applied prior to the regression analysis. The spatial characteristic of those disruptions is identified by mapping them, while their temporal characteristic is assessed using correlation coefficient defined in this paper. Accordingly, greater correlation of disruptions by flooding is found with the decreasing of the distance between for most pairs of the locations throughout the study period.

URI

https://hdl.handle.net/11668/18268

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