DOCSLIB.ORG

Effect of Major Storms on Morphology and Sediments of a Coastal Lake on the Northwest Florida Barrier Coast Aaron C

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Effect of Major Storms on Morphology and Sediments of a Coastal Lake on the Northwest Florida Barrier Coast Aaron C Florida State University Libraries Electronic Theses, Treatises and Dissertations The Graduate School 2008 Effect of Major Storms on Morphology and Sediments of a Coastal Lake on the Northwest Florida Barrier Coast Aaron C. Lower Follow this and additional works at the FSU Digital Library. For more information, please contact [email protected] FLORIDA STATE UNIVERSITY COLLEGE OF ARTS AND SCIENCES EFFECT OF MAJOR STORMS ON MORPHOLOGY AND SEDIMENTS OF A COASTAL LAKE ON THE NORTHWEST FLORIDA BARRIER COAST By AARON C. LOWER A Thesis submitted to the Department of Geological Sciences in partial fulfillment of the requirements for the degree of Master of Science Degree Awarded: Summer Semester, 2008 The members of the Committee approve the thesis of Aaron C. Lower defended on March 19, 2008. ___________________________ Joseph F. Donoghue Professor Directing Thesis ___________________________ Anthony J. Arnold Committee Member ___________________________ Sherwood W. Wise Committee Member ___________________________ Stephen J. Kish Committee Member Approved: ___________________________ A. Leroy Odom, Chair, Department of Geological Sciences ii ACKNOWLEDGEMENTS There are many people I would like to thank and recognize for their support throughout my studies. First, I would like to thank my advisor, Dr. Joseph Donoghue, for his continuous support and guidance during the MS program. Many thanks to the late Jim Balsillie, whose field expertise and suggestions proved invaluable to the completion of this thesis. Thanks to Jim Sparr, of the Florida Geological Survey, for his assistance with the GPR surveys. I am grateful to Matt Curren, formerly of the FSU Antarctic Research Facility, for the use of the X-ray machine, darkroom facilities and the storage of my cores. I am grateful towards the Geological Society of America and the Gulf Coast Association of Geological Societies for their student research grants. A special thanks goes to the staff at Grayton Beach State Park. I am also indebted to Dr. Bill Hu, Beth Forrest, Lee Simons, Anthony Priestas and Corrie Neighbors for their contributions in the field. To my office mates – Jonathan, Zoe, Naba and Stacie – good times. I would also like to thank Beth, Alex, Chris and Bettsy for their social distractions and for showing me there is culture outside of Indiana. Thanks to Andy and Jake for providing a shoulder to cry on. Finally, thanks to my family and friends, especially Randy and Christi Lower, who brought me into this world and constantly remind me that they can take me out of it. Words can’t describe the support they’ve given me, support in every sense of the word. iii TABLE OF CONTENTS List of Tables……………………………………………………………………………..vi List of Figures…………………………………………………………………………….xi Abstract………………………………………………………………………………….xvi 1. INTRODUCTION AND GEOLOGICAL BACKGROUND Statement of Problem……………………………………………………………...1 Storm Occurrence at Grayton Beach State Park, Florida…………………………2 Previous Paleo-Storm Studies……………………………………………………..3 Potential Significance……………………………………………………………..3 Hypotheses………………………………………………………………………...4 Florida Geologic Background……………………………………………………..5 Pleistocene and Holocene Sea Level History……………………………………..6 Recent Storm Record…………………………………………………………… ..7 2. STUDY AREA Grayton Beach State Park………………………………………………………..22 Subsurface Geology of the Walton County region, Florida……………………..22 Geomorphic Provinces of the Walton County region, Florida…………………..23 3. METHODS Field Sampling…………………………………………………………………...29 X-ray Imaging……………………………………………………………………30 Sediment Properties Analysis …………………………………………………...30 Percent Moisture…………………………………………………………30 Percent Organics…………………………………………………………30 Sediment Texture………………………………………………………...30 Geochronology…………………………………………………………………...31 Ground-Penetrating Radar (GPR)………………………………………………..31 4. RESULTS Samples Sites…………………………………………………………………….40 Ground-Penetrating Radar (GPR) Transect Results……………………………..42 iv Sediment Properties Analysis……………………………………………………42 Percent Moisture Results………………………………………………...42 Percent Organics Results………………………………………………...44 Sediment Texture Results………………………………………………..46 X-radiography Results…………………………………………………………...47 Geochronologic Results………………………………………………….............48 Storm Layer Identification and Stratigraphic Correlation Results………………48 5. DISCUSSION Introduction of Storm Sediment into Western Lake……………………………..72 Stratigraphic Correlation…………………………………………………………73 Geochronology Data from Core 020507-1………………………………………74 6. CONCLUSIONS……………………………………………………………………..80 APPENDIX A – Percent Moisture Data Results………………………………………...83 APPENDIX B – Percent Organics Data Results……………………………………….105 APPENDIX C – Individual Settling Tube Analysis Results…………………………...127 REFERENCES CITED…………………………………………………………………167 BIOGRAPHICAL SKETCH…………………………………………………………...171 v LIST OF TABLES Table 4.1. Geographic locations of each core used during this investigation. Also noted is the type of each core. Note that in Figure 4.1 only the last digit is used to identify the 091605-series cores……………………………………………………………………....41 Table 4.2. OSL age calculations………………………………………………………...49 Table 5.1. Western Lake Sediment Core Correlation…………………………………...75 Table A.1. Percent Moisture Data Results for Core 091605-1………………………….84 Table A.2. Percent Moisture Data Results for Core 091605-2………………………….85 Table A.2 continued. Percent Moisture Data Results for Core 091605-2………………86 Table A.3. Percent Moisture Data Results for Core 091605-3………………………….87 Table A.3 continued. Percent Moisture Data Results for Core 091605-3………………88 Table A.3 continued. Percent Moisture Data Results for Core 091605-3………………89 Table A.4. Percent Moisture Data Results for Core 091605-4………………………….90 Table A.4 continued. Percent Moisture Data Results for Core 091605-4………………91 Table A.4 continued. Percent Moisture Data Results for Core 091605-4………………92 Table A.5. Percent Moisture Data Results for Core 091605-5……………………….....93 Table A.5 continued. Percent Moisture Data Results for Core 091605-5………………94 Table A.6. Percent Moisture Data Results for Core 091605-6……………………….....95 Table A.6 continued. Percent Moisture Data Results for Core 091605-6………………96 Table A.7. Percent Moisture Data Results for Core 091605-7………………………....97 Table A.7 continued. Percent Moisture Data Results for Core 091605-7………………98 Table A.8. Percent Moisture Data Results for Core 020507-1………………………....99 Table A.8 continued. Percent Moisture Data Results for Core 020507-1……………..100 Table A.8 continued. Percent Moisture Data Results for Core 020507-1……………..101 vi Table A.8 continued. Percent Moisture Data Results for Core 020507-1……………..102 Table A.8 continued. Percent Moisture Data Results for Core 020507-1……………..103 Table A.8 continued. Percent Moisture Data Results for Core 020507-1…………..…104 Table B.1. Percent Organics Data Results for Core 091605-1………………………...106 Table B.2. Percent Organics Data Results for Core 091605-2………………………...107 Table B.2 continued. Percent Organics Data Results for Core 091605-2……………..108 Table B.3. Percent Organics Data Results for Core 091605-3………………………...109 Table B.3 continued. Percent Organics Data Results for Core 091605-3……………..110 Table B.3 continued. Percent Organics Data Results for Core 091605-3……………..111 Table B.4. Percent Organics Data Results for Core 091605-4………………………...112 Table B.4 continued. Percent Organics Data Results for Core 091605-4……………..113 Table B.4 continued. Percent Organics Data Results for Core 091605-4……………..114 Table B.5. Percent Organics Data Results for Core 091605-5………………………...115 Table B.5 continued. Percent Organics Data Results for Core 091605-5…………..…116 Table B.6. Percent Organics Data Results for Core 091605-6………………………...117 Table B.6 continued. Percent Organics Data Results for Core 091605-6……………..118 Table B.7. Percent Organics Data Results for Core 091605-7………………………...119 Table B.7 continued. Percent Organics Data Results for Core 091605-7……………..120 Table B.8. Percent Organics Data Results for Core 020507-1………………………...121 Table B.8 continued. Percent Organics Data Results for Core 020507-1……………..122 Table B.8 continued. Percent Organics Data Results for Core 020507-1……………..123 Table B.8 continued. Percent Organics Data Results for Core 020507-1…………..…124 Table B.8 continued. Percent Organics Data Results for Core 020507-1…………..…125 vii Table B.8 continued. Percent Organics Data Results for Core 020507-1……………..126 Table C.1. GRANPLOT analysis of Core 091605-1-4 (depth of 4 cm)……………………………….................................................................128 Table C.2. GRANPLOT analysis of Core 091605-1-7 (depth of 7 cm)…………………………………………………………….…………....129 Table C.3. GRANPLOT analysis of Core 091605-1-8 (depth of 8 cm)……………………………………………………………….................130 Table C.4. GRANPLOT analysis of Core 091605-1-11 (depth of 11 cm)………………………………………………………………….….….131 Table C.5. GRANPLOT analysis of Core 091605-1-16 (depth of 16 cm) ………………………………………………………………………..132 Table C.6. GRANPLOT analysis of Core 091605-1-23 (depth of 23 cm) ………………………………………………………….…………….133 Table C.7. GRANPLOT analysis of Core 091605-1-26 (depth of 26 cm) ………………………………………………………….….................134 Table C.8. GRANPLOT analysis of Core 091605-2-5 (depth of 5 cm) ……………………………………………………………………........135 Table C.9. GRANPLOT analysis of Core 091605-2-9 (depth of 9 cm) ……………………………………………………….……...................136 Table C.10. GRANPLOT analysis of Core 091605-2-13 (depth of 13 cm) …………………………………………………………......................137 Table C.11. GRANPLOT analysis of Core 091605-2-18 (depth of 18
Load more

Recommended publications
  • An Informed System Development Approach to Tropical Cyclone Track and Intensity Forecasting
    Linköping Studies in Science and Technology Dissertations. No. 1734 An Informed System Development Approach to Tropical Cyclone Track and Intensity Forecasting by Chandan Roy Department of Computer and Information Science Linköping University SE-581 83 Linköping, Sweden Linköping 2016 Cover image: Hurricane Isabel (2003), NASA, image in public domain. Copyright © 2016 Chandan Roy ISBN: 978-91-7685-854-7 ISSN 0345-7524 Printed by LiU Tryck, Linköping 2015 URL: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-123198 ii Abstract Introduction: Tropical Cyclones (TCs) inflict considerable damage to life and property every year. A major problem is that residents often hesitate to follow evacuation orders when the early warning messages are perceived as inaccurate or uninformative. The root problem is that providing accurate early forecasts can be difficult, especially in countries with less economic and technical means. Aim: The aim of the thesis is to investigate how cyclone early warning systems can be technically improved. This means, first, identifying problems associated with the current cyclone early warning systems, and second, investigating if biologically based Artificial Neural Networks (ANNs) are feasible to solve some of the identified problems. Method: First, for evaluating the efficiency of cyclone early warning systems, Bangladesh was selected as study area, where a questionnaire survey and an in-depth interview were administered. Second, a review of currently operational TC track forecasting techniques was conducted to gain a better understanding of various techniques’ prediction performance, data requirements, and computational resource requirements. Third, a technique using biologically based ANNs was developed to produce TC track and intensity forecasts.
    [Show full text]
  • Understanding the Characteristics of Rapid Intensity Changes of Tropical Cyclones Over North Indian Ocean
    Research Article Understanding the characteristics of rapid intensity changes of Tropical Cyclones over North Indian Ocean Raghu Nadimpalli1 · Shyama Mohanty1 · Nishant Pathak1 · Krishna K. Osuri2 · U. C. Mohanty1 · Somoshree Chatterjee1 Received: 31 August 2020 / Accepted: 21 December 2020 © The Author(s) 2021 OPEN Abstract North Indian Ocean (NIO), which comprises of Bay of Bengal (BoB) and Arabian Sea (AS) basins, is one of the highly poten- tial regions for Tropical Cyclones (TCs) in the world. Signifcant improvements have been achieved in the prediction of the movement of TCs, since the last decade. However, the prediction of sudden intensity changes becomes a challeng- ing task for the research and operational meteorologists. Hence, the present study focuses on fnding the climatological characteristics of such intensity changes over NIO regions. Rapid Intensifcation (RI) is defned as the 24-h maximum sustained surface wind speed rate equal to 30 knots (15.4 ms−1). The results suggest that the TCs formed over the NIO basin are both seasonal and basin sensitive. Since 2000, a signifcant trend is observed in RI TCs over the basin. At least one among three cyclones getting intensifed is of RI category. More number of RI cases have been identifed in the BoB basin than the AS. The post-monsoon season holds more RI and rapid decay cases, with 63% and 90% contribution. Most of the TCs are attaining RI onset in their initial stage. Further, India is receiving more landfalling RI TCs, followed by Bangladesh and Oman. The east coast of India, Tamil Nadu, and Andhra Pradesh are the most vulnerable states to these RI TCs.
    [Show full text]
  • Rehabilitation, Reconstruction & Development a Post Cyclone Nargis Initiative
    Rehabilitation, Reconstruction & Development A Post Cyclone Nargis Initiative 1 2 Metta Development Foundation Table of Contents Forward, Executive Director 2 A Post Cyclone Nargis Initiative - Executive Summary 6 01. Introduction – Waves of Change The Ayeyarwady Delta 10 Metta’s Presence in the Delta. The Tsunami 11 02. Cyclone Nargis –The Disaster 12 03. The Emergency Response – Metta on Site 14 04. The Global Proposal 16 The Proposal 16 Connecting Partners - Metta as Hub 17 05. Rehabilitation, Reconstruction and Development August 2008-July 2011 18 Introduction 18 A01 – Relief, Recovery and Capacity Building: Rice and Roofs 18 A02 – Food Security: Sowing and Reaping 26 A03 – Education: For Better Tomorrows 34 A04 – Health: Surviving and Thriving 40 A05 – Disaster Preparedness and Mitigation: Providing and Protecting 44 A06 – Lifeline Systems and Transportation: The Road to Safety 46 Conclusion 06. Local Partners – The Communities in the Delta: Metta Meeting Needs 50 07. International Partners – The Donor Community Meeting Metta: Metta Day 51 08. Reporting and External Evaluation 52 09. Cyclones and Earthquakes – Metta put anew to the Test 55 10. Financial Review 56 11. Beyond Nargis, Beyond the Delta 59 12. Thanks 60 List of Abbreviations and Acronyms 61 Staff Directory 62 Volunteers 65 Annex 1 - The Emergency Response – Metta on Site 68 Annex 2 – Maps 76 Annex 3 – Tables 88 Rehabilitation, Reconstruction & Development A Post Cyclone Nargis Initiative 3 Forword Dear Friends, Colleagues and Partners On the night of 2 May 2008, Cyclone Nargis struck the delta of the Ayeyarwady River, Myanmar’s most densely populated region. The cyclone was at the height of its destructive potential and battered not only the southernmost townships but also the cities of Yangon and Bago before it finally diminished while approaching the mountainous border with Thailand.
    [Show full text]
  • Real-Time Track Prediction of Tropical Cyclones Over the North Indian Ocean Using the ARW Model
    2476 JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY VOLUME 52 Real-Time Track Prediction of Tropical Cyclones over the North Indian Ocean Using the ARW Model KRISHNA K. OSURI AND U. C. MOHANTY School of Earth, Ocean and Climate Sciences, Indian Institute of Technology Bhubaneswar, Odisha, India A. ROUTRAY National Centre for Medium Range Weather Forecasting, Noida, India M. MOHAPATRA India Meteorological Department, New Delhi, India DEV NIYOGI Purdue University, West Lafayette, Indiana (Manuscript received 18 November 2012, in final form 9 July 2013) ABSTRACT The performance of the Advanced Research version of the Weather Research and Forecasting (ARW) model in real-time prediction of tropical cyclones (TCs) over the north Indian Ocean (NIO) at 27-km res- olution is evaluated on the basis of 100 forecasts for 17 TCs during 2007–11. The analyses are carried out with respect to 1) basins of formation, 2) straight-moving and recurving TCs, 3) TC intensity at model initialization, and 4) season of occurrence. The impact of high resolution (18 and 9 km) on TC prediction is also studied. Model results at 27-km resolution indicate that the mean track forecast errors (skill with reference to per- sistence track) over the NIO were found to vary from 113 to 375 km (7%–51%) for a 12–72-h forecast. The model showed a right/eastward and slow bias in TC movement. The model is more skillful in track prediction when initialized at the intensity stage of severe cyclone or greater than at the intensity stage of cyclone or lower. The model is more efficient in predicting landfall location than landfall time.
    [Show full text]
  • Hazard Profile of Myanmar: an Introduction 1.1
    Table of Contents Table of Contents ............................................................................................................ I List of Figures ................................................................................................................ III List of Tables ................................................................................................................. IV Acronyms and Abbreviations ......................................................................................... V 1. Hazard Profile of Myanmar: An Introduction 1.1. Background ...................................................................................................................... 1 1.2. Myanmar Overview ......................................................................................................... 2 1.3. Development of Hazard Profile of Myanmar : Process ................................................... 2 1.4. Objectives and scope ....................................................................................................... 3 1.5. Structure of ‘Hazard Profile of Myanmar’ Report ........................................................... 3 1.6. Limitations ....................................................................................................................... 4 2. Cyclones 2.1. Causes and Characteristics of Cyclones in the Bay of Bengal .......................................... 5 2.2. Frequency and Impact ....................................................................................................
    [Show full text]
  • Myanmar: Cyclone Mala
    MYANMAR: CYCLONE MDRMM00101 Update no. 01 MALA 6 September 2006 The Federation’s mission is to improve the lives of vulnerable people by mobilizing the power of humanity. It is the world’s largest humanitarian organization and its millions of volunteers are active in over 185 countries. In Brief Period covered by this update: 5 May 2006 to 30 July 2006 History of this Disaster Relief Emergency Fund (DREF)-funded operation: • CHF 50,000 allocated from the Federations DREF on 5 May 2006 to respond to the needs of this operation, or to replenish disaster preparedness stocks distributed to the affected population. • This operation is expected to be implemented for three months, and will be completed by30 July 2006; • The procurement exercises for this disaster and for annual relief materials have delayed several planned activities, and the end of operation is now required to be extended to 31 October 2006. • a DREF Bulletin Final Report (narrative and financial) will be made available three months after the end of the proposed extended operation, i.e. by 31 January 2007. For further information specifically related to this operation please contact: • Myanmar Red Cross Society: Dr. Hla Mynt (president); email [email protected]; Phone: +95.1.383.681; Fax: +95.1.383.675 • Federation delegation in Myanmar: Bridget Gardner (head of delegation);e-mail: [email protected]; Phone: +95.138.3686; Fax: +95.138.3682 • Federation regional delegation in Bangkok: Bekele Geleta (head of regional delegation);email: [email protected]; Phone:
    [Show full text]
  • Vertical Transport of Ozone and CO During Super Cyclones in the Bay of Bengal As Detected by Tropospheric Emission Spectrometer
    Environ Sci Pollut Res (2011) 18:301–315 DOI 10.1007/s11356-010-0374-3 RESEARCH ARTICLE Vertical transport of ozone and CO during super cyclones in the Bay of Bengal as detected by Tropospheric Emission Spectrometer S. Fadnavis & G. Beig & P. Buchunde & Sachin D. Ghude & T. N. Krishnamurti Received: 22 February 2010 /Accepted: 5 July 2010 /Published online: 21 July 2010 # Springer-Verlag 2010 Abstract Vertical profiles of carbon monoxide (CO) and to the advancement in satellite measurements and model ozone retrieved from Tropospheric Emission Spectrometer simulations. The upper troposphere is a region important have been analyzed during two super cyclone systems Mala for chemistry and dynamics because of its distance from the and Sidr. Super cyclones Mala and Sidr traversed the Bay source region near Earth’s surface and its proximity to the of Bengal (BOB) region on April 24–29, 2006 and tropopause (Mahlman 1997). This is the region where November 12–16, 2007 respectively. The CO and ozone radiative forcing, long-range pollution transport, and the plume is observed as a strong enhancement of these transport of air into/from the stratosphere play important pollutants in the upper troposphere over the BOB, role. The three-dimensional models indicate that the indicating deep convective transport. Longitude–height dominant mechanism for exchanging air between Northern cross-section of these pollutants shows vertical transport and Southern hemispheres mostly operate in the tropical to the upper troposphere. CO mixing ratio ~90 ppb is upper troposphere (Tans et al. 1990). The mechanisms for observed near the 146-mb level during the cyclone Mala lifting trace gases out of the Planetary Boundary Layer and near 316 mb during the cyclone Sidr.
    [Show full text]
  • Cyclone Nargis Storm Surge in Myanmar
    correspondence Cyclone Nargis storm surge in Myanmar To the Editor — Tropical cyclone of 100,000 striking India and Bangladesh tropical cyclone track included in the Nargis (category 4 on the Saffir–Simpson (Supplementary Fig. 1). Damage estimates International Best Track Record for Climate Hurricane Scale, SSHS) made landfall on at over $10 billion made Nargis the most Stewardship database2 has made a direct 2 May 2008, causing the worst natural destructive cyclone ever recorded in the landfall in Myanmar’s Ayeyarwady river disaster in Myanmar’s recorded history. Indian Ocean. Here we analyse the cause of delta at an untypically low latitude near Official death toll estimates exceed 138,000 the humanitarian disaster based on physical 16° N. In 2006, a similar tropical cyclone fatalities1 making it the eighth deadliest and societal observations. (Mala, category 4, SSHS) made landfall in cyclone ever recorded worldwide. Since On 28 April 2008, Nargis was located Myanmar at 17.6° N causing only 22 deaths the 1970 Bhola cyclone, which caused up near the centre of the Bay of Bengal and after a well executed evacuation effort, and to 500,000 fatalities, Nargis represents the upgraded to a category 1 cyclone (SSHS). the 2004 Indian Ocean tsunami, which deadliest tropical cyclone worldwide and The tropical cyclone developed sustained affected Myanmar’s Andaman coast, resulted one of the worst natural disasters, with winds over 210 km h–1, with gusts up to in only 71 fatalities. the exceptions of the 2004 Indian Ocean 260 km h–1, before landfall in Myanmar Three months after cyclone Nargis, access tsunami and the 1976 Tangshan earthquake.
    [Show full text]
  • UTILIZATION of SPACE BASED TECHNOLOGIES for DISASTER RISK REDUCTION ( Delta Region, Myanmar )
    UTILIZATION OF SPACE BASED TECHNOLOGIES FOR DISASTER RISK REDUCTION ( Delta Region, Myanmar ) Kyaw Zaya Htuna, Dr. Myint Myint Khaingb, Dr. Lal Samarakoonc a, Mandalay Technological University, Myanmar; [email protected] b Ministry of Science and Technology, Myanmar; [email protected] c Geoinformatics Center, Asian Institute of Technology, Thailand; [email protected] case of Cyclone Nargis in compare with the KEY WORDS: Geographic Information Systems (GIS), Disaster Risk Reduction (DRR), Surge Model previous cyclones. Collective assessment data from the authorities and international Abstract: Delta region, southern west of Myanmar, is a communities indicates that more than hundred low land area and naturally vulnerable to natural hazards associated with severe loss of lives and wealth. townships were significantly affected by the During the years from 1948 to 1994, Myanmar has been cyclone Nargis. According to official Figures, hit by 10 serve tropical cyclones. ‘MALA’ 138,373 people were missing or dead, houses Cyclone(25/4/06), TORNADO (28/4/06) and Nargis and over 4000 schools were destroyed in more (3/5/2008). Cyclone Nargis is the worst one and than 6000 villages by the Nargis. It is said that accompanied by storm surges. Cyclone hazard zonation is necessary to emphasize after the devastating cyclonic the impact was severe due to very high surge of May 2008 when about 150,000 people lost vulnerability of the area such as very low lying their lives along with other damages. This study used and most populous region, many tributaries Geographic Information Systems (GIS) together with and less high ground, impede efficient Remote Sensing Technology for Disaster Risk response and less awareness, no developed Reduction.
    [Show full text]
  • FINAL REPORT Shoreline Evolution and Coastal Resiliency at Two Military Installations: Investigating the Potential for the Loss of Protecting Barriers
    FINAL REPORT Shoreline Evolution and Coastal Resiliency at Two Military Installations: Investigating the Potential for the Loss of Protecting Barriers SERDP Project RC-1702 MAY 2014 Rob. L. Evans Jeffrey Donnelly Andrew Ashton Woods Hole Oceanographic Institute Kwok Fai Cheung Volker Roeber University of Hawaii Distribution Statement A Form Approved REPORT DOCUMENTATION PAGE OMB No. 0704-0188 Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing this collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden to Department of Defense, Washington Headquarters Services, Directorate for Information Operations and Reports (0704-0188), 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202- 4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to any penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. PLEASE DO NOT RETURN YOUR FORM TO THE ABOVE ADDRESS. (DD-MM-YYYY) (From - To) 1. REPORT DATE 2. REPORT TYPE 3. DATES COVERED Final 08/24/2009-05/01/2014 4. TITLE AND SUBTITLE 5a. CONTRACT NUMBER Shoreline Evolution and Coastal Resiliency at Two Military Installations: Investigating the W912HQ-09-C0043 Potential for and Impacts of Loss of Protecting Barriers 5b. GRANT NUMBER W912HQ-09-C0043 5c. PROGRAM ELEMENT NUMBER 6. AUTHOR(S) 5d. PROJECT NUMBER Rob.
    [Show full text]
  • Prediction of Storm Surge and Risk Assessment of Rakhine Costal Region
    American Scientific Research Journal for Engineering, Technology, and Sciences (ASRJETS) ISSN (Print) 2313-4410, ISSN (Online) 2313-4402 © Global Society of Scientific Research and Researchers http://asrjetsjournal.org/ Prediction of Storm Surge and Risk Assessment of Rakhine Costal Region May Ei Nandar Soea*, Daw Aye Aye Thantb , Dr. Kyaw Zaya Htunc a,bLecturer, Civil Engineering Department, Mandalay Technological University, Myanmar c Lecturer, Remote sensing Department, Yangon Technological University, Myanmar aEmail: einandarsoe2012yahoo.com bEmail: [email protected] cEmail: [email protected] Abstract Rakhine coastal region, western coast of Myanmar, is prone to cyclone and storm surge flooding. The probability of cyclone in Rakhine coast is more than those of any other places of Myanmar coast. That’s why, it is very essential to develop storm surge risk maps for Rakhine state. The study area for numerical simulation covers the latitude 14° to 22° N and longitude 89.8° to 98.1° E. Five historical storm surge heights along the coast are determined both by empirical equation and simulated using Delft 3D numerical model coupling with Delft Dashboard and, compared with observed peak surge. Hazard maps of storm surge are developed by modelling three cyclone scenarios for respective recurrence interval. In this study, population data, housing data and livelihood data of Rakhine State during the period of 2010 are adopted for vulnerability analysis. Vulnerable maps for human and social sector, physical infrastructure sector and production sector are developed by using Analytical Hierarchy Process. Finally, risk maps for population, production, infrastructure and livelihood sector of Rakhine State by village tracts are developed by using ArcGIS 10.3.
    [Show full text]
  • Cyclone Nargis 2008 – Human Resourcing Insights from Within the Myanmar Red Cross
    Public health emergencies workforce health emergencies Public CYCLONE NARGIS 2008 – HUMAN RESOURCING INSIGHTS FROM WITHIN THE MYANMAR RED CROSS Tun Aung Shwe, Anthony B. Zwi, Graham Roberts www.hrhhub.unsw.edu.au Myanmar An AusAID funded initiative The Human Resources for Health Knowledge Hub This report has been produced by the Human ACKNOWLEDGEMENTS Resources for Health Knowledge Hub of the School of Public Health and Community Medicine at the This paper was reviewed externally by Christopher George University of New South Wales. (Program Coordinator for MERLIN in South Sudan and former IFRC Organisati on Development Delegate for Myanmar Hub publicati ons report on a number of signifi cant Red Cross Society from 2007-2009), and internally by Lisa Thompson of the Human Resources for Health (HRH) issues in human resources for health (HRH), currently Knowledge Hub. The authors would like to acknowledge under the following themes: Christopher George for his invaluable contributi on in the review process and the review comments have been • leadership and management issues, especially at incorporated into the fi nal document. We, UNSW HRH Hub district level team and the authors also wish to gratefully acknowledge support in the study by Professor Tha Hla Shwe, President • maternal, newborn and child health workforce at of Myanmar Red Cross Society, his Central Executi ve the community level Committ ee members and senior staff at Myanmar Red Cross Headquarters. The HRH Knowledge Hub provided fi nancial • intranati onal and internati onal mobility of health support towards the completi on of this case study. workers • HRH issues in public health emergencies.
    [Show full text]