Skip to Main Content
 

Global Search Box

 
 
 
 

Files

File List


osu1070308923.pdf (2.19 MB)

ETD Abstract Container

Abstract Header

New methods for positional quality assessment and change analysis of shoreline features

Ali, Tarig Abdelgayoum
http://rave.ohiolink.edu/etdc/view?acc_num=osu1070308923

Abstract Details

2003, Doctor of Philosophy, Ohio State University, Civil Engineering.
In this dissertation, four positional quality measures for linear features presented by Ramirez (2000) were thoroughly investigated on shoreline features including Generalization Factor, Distortion Factor, Bias Factor, and Fuzziness Factor. The investigation addresses the uniquness of each one of the four measures and the effect of random errors, systematic errors and blunders in the shoreline on the four measures. The results show that these four measures describe different characteristics of a shoreline. Also a new shoreline change modeling method was developed in this study based on a new concept known as shoreline-segment orientation. This method helps to better analyze shoreline-change at the segment level by studying the angular deviation from the surrounding segments and also from the whole shoreline. Shoreline segment orientation is critical in shoreline erosion analysis because it considers the direction of the incoming waves towards the shoreline. The results of analyzing shoreline change in the study area based on this concept of segment orientation have been found to correlate to the recorded change in the period of study. Using shoreline segment as a modeling unit, a new shoreline change forecast model was developed to analyze changes and furthermore to predict future shoreline positions. This model has the advantage of capturing the physical movement of a given shoreline segment through time by two indices. These indices represent the effects of scale-and-rotation and translation that have occurred to shoreline at a previous time causing the change. These indices are assumed to encapsulate the effects of the coastal erosion processes in the study area including shoreline shape, water-level change, shoreline geology or soil types, and erosion structures. The model uses the recorded change in the period of study to capture the pattern of shoreline-change at the segment level. Furthermore, the incorporation of shoreline positional quality information in the shoreline-change model has been addressed in this study. The significance of the models developed in this research is demonstrated by the quality of the results obtained in the case study. Also this study showed the need for future research on the Bias factor for positional quality assessment, and further investigation to expand the linear quality metrics for assessing the positional quality of other types of linear features.
Rongxing Li (Advisor)
133 p.
GEOGRAPHIC INFORMATION SYSTEMS; POSITIONAL QUALITY ASSESSMENT; SHORELINE FEATURES

Recommended Citations

Citations

  • Ali, T. A. (2003). New methods for positional quality assessment and change analysis of shoreline features [Doctoral dissertation, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1070308923

    APA Style (7th edition)

  • Ali, Tarig. New methods for positional quality assessment and change analysis of shoreline features. 2003. Ohio State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1070308923.

    MLA Style (8th edition)

  • Ali, Tarig. "New methods for positional quality assessment and change analysis of shoreline features." Doctoral dissertation, Ohio State University, 2003. http://rave.ohiolink.edu/etdc/view?acc_num=osu1070308923

    Chicago Manual of Style (17th edition)

osu1070308923
1,648
© 2003, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.