Typhoon Effects on the South China Sea Wave Characteristics During Winter Monsoon

Total Page:16

File Type:pdf, Size:1020Kb

Typhoon Effects on the South China Sea Wave Characteristics During Winter Monsoon Calhoun: The NPS Institutional Archive Theses and Dissertations Thesis Collection 2006-03 Typhoon effects on the South China Sea wave characteristics during winter monsoon Cheng, Kuo-Feng Monterey, California. Naval Postgraduate School http://hdl.handle.net/10945/2885 NAVAL POSTGRADUATE SCHOOL MONTEREY, CALIFORNIA THESIS TYPHOON EFFECTS ON THE SOUTH CHINA SEA WAVE CHARACTERISTICS DURING WINTER MONSOON by CHENG, Kuo-Feng March 2006 Thesis Advisor: Peter C. Chu Second Reader: Timour Radko Approved for public release; distribution is unlimited. THIS PAGE INTENTIONALLY LEFT BLANK REPORT DOCUMENTATION PAGE Form Approved 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 instruction, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the 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 Washington headquarters Services, Directorate for Information Operations and Reports, 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302, and to the Office of Management and Budget, Paperwork Reduction Project (0704-0188) Washington DC 20503. 1. AGENCY USE ONLY (Leave blank) 2. REPORT DATE 3. REPORT TYPE AND DATES COVERED March 2006 Master’s Thesis 4. TITLE AND SUBTITLE: Typhoon Effects on the South China Sea Wave 5. FUNDING NUMBERS Characteristics during Winter Monsoon 6. AUTHOR(S) Kuo-Feng Cheng 7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) 8. PERFORMING Naval Postgraduate School ORGANIZATION REPORT Monterey, CA 93943-5000 NUMBER 9. SPONSORING /MONITORING AGENCY NAME(S) AND ADDRESS(ES) 10. SPONSORING/MONITORING N/A AGENCY REPORT NUMBER 11. SUPPLEMENTARY NOTES The views expressed in this thesis are those of the author and do not reflect the official policy or position of the Department of Defense or the U.S. Government. 12a. DISTRIBUTION / AVAILABILITY STATEMENT 12b. DISTRIBUTION CODE Approved for public release; distribution is unlimited. 13. ABSTRACT (maximum 200 words) Ocean wave characteristics in the western Atlantic Ocean (Hurricane Region) to tropical cyclones have been well identified, but not the regional seas in the western Pacific, e.g., the South China Sea (Typhoon Region). This is due to the lack of observational and modeling studies in the regional seas of the western Pacific. To fill this gap, Wavewatch-III (WW3) is used to study the response of the South China Sea (SCS) to Typhoon Muifa (2004). The major purposes are to find the similarity and dissimilarity of wave characteristics between the two regions, and to evaluate the WW3 capability to typhoon forcing. The WW3 model is integrated from the JONSWAP wave spectra with a tropical cyclone wind profile model, simulating Typhoon Muifa, from 16 to 25 November 2004. This study shows strong similarities in the responses between Hurricane and Typhoon Regions, including strong asymmetry in the significant wave height (Hs) along the typhoon translation track with the maximum Hs in the right-front quadrant of the typhoon center, and asymmetry in the directional wave spectra at different locations (frontward, backward, rightward, and leftward) around the typhoon center. The unique features of the SCS wave characteristics to Muifa are also discussed. 14. SUBJECT TERMS South China Sea, sea surface wave, numerical simulation, WAVEWATCH- 15. NUMBER OF III, Typhoon Muifa (2004), winter monsoon, Tropical Cyclone Wind Profile Model PAGES 115 16. PRICE CODE 17. SECURITY 18. SECURITY 19. SECURITY 20. LIMITATION CLASSIFICATION OF CLASSIFICATION OF THIS CLASSIFICATION OF OF ABSTRACT REPORT PAGE ABSTRACT Unclassified Unclassified Unclassified UL NSN 7540-01-280-5500 Standard Form 298 (Rev. 2-89) Prescribed by ANSI Std. 239-18 i THIS PAGE INTENTIONALLY LEFT BLANK ii Approved for public release; distribution is unlimited. TYPHOON EFFECTS ON THE SOUTH CHINA SEA WAVE CHARACTERISTICS DURING WINTER MONSOON Kuo-Feng CHENG Lieutenant, Taiwan Navy B.S., National Cheng Kung University, 1999 Submitted in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE IN PHYSICAL OCEANOGRAPHY from the NAVAL POSTGRADUATE SCHOOL March 2006 Author: CHENG, Kuo-Feng Approved by: Peter C. Chu Thesis Advisor Timour Radko Second Reader Mary L. Batteen Chairperson, Department of Oceanography Donald P. Brutzman Chair, Undersea Warfare Academic Committee iii THIS PAGE INTENTIONALLY LEFT BLANK iv ABSTRACT Ocean wave characteristics in the western Atlantic Ocean (Hurricane Region) to tropical cyclones have been well identified, but not the regional seas in the western Pacific such as the South China Sea (Typhoon Region). This is due to the lack of observational and modeling studies in the regional seas of the western Pacific. To fill this gap, Wavewatch-III (WW3) is used to study the response of the South China Sea (SCS) to Typhoon Muifa (2004). The major purposes are to find the similarity and dissimilarity of wave characteristics between the two regions, and to evaluate the WW3 capability to typhoon forcing. The WW3 model is integrated from the JONSWAP wave spectra with a tropical cyclone wind profile model, simulating Typhoon Muifa, from 0000UTC 16 November to 1200UTC 25 November 2004. Since TY Muifa entered the SCS as late as 19 November, the model computation of the first three days, from 16 November to 18 November, could be considered as the ‘spin up’ period of WW3 model. This study shows strong similarities in the responses between Hurricane and Typhoon Regions, including strong asymmetry in the significant wave height ( H s ) along the typhoon translation track with the maximum H s in the right-front quadrant of the typhoon center, and asymmetry in the directional wave spectra at different locations (frontward, backward, rightward, and leftward) around the typhoon center. The unique features of the SCS wave characteristics to Muifa are also discussed. v THIS PAGE INTENTIONALLY LEFT BLANK vi TABLE OF CONTENTS I. INTRODUCTION........................................................................................................1 II. SOUTH CHINA SEA ..................................................................................................5 A. GEOGRAPHY .................................................................................................5 B. CLIMATOLOGY ............................................................................................5 1. Monsoon Winds....................................................................................6 2. Summer Monsoon ................................................................................6 3. Winter Monsoon...................................................................................6 III. TROPICAL CYCLONES ...........................................................................................9 A. BACKGROUND ..............................................................................................9 B. TYPHOON MUIFA (2004) .............................................................................9 1. Forming over the Western Pacific......................................................9 2. Entering the SCS................................................................................10 3. Weakening ..........................................................................................10 IV. TYPHOON WINDS...................................................................................................15 A. TROPICAL CYCLONE WIND PROFILE MODEL ................................15 1. Tangential Wind Distribution...........................................................15 2. Determination of Model Parameters................................................17 B. TCWPM APPLICATION ON TY MUIFA (2004).....................................18 1. QuikSCAT Satellite ...........................................................................18 2. Combination of QSCAT and TCWPM Winds................................18 3. Ideal Typhoon Winds without Monsoon..........................................19 V. WAVEWATCH-III MODEL ...................................................................................29 A. MODEL DESCRIPTION..............................................................................29 B. MODEL EQUATIONS .................................................................................29 1. Governing Equation...........................................................................29 2. Wave Propagation..............................................................................30 3. Source Terms......................................................................................31 a. Tolman and Chalikov (1996) Input Term..............................31 b. Tolman and Chalikov (1996) Dissipation Term ....................34 c. Nonlinear Interaction Term ...................................................36 d. JONSWAP Bottom Friction Term .........................................37 C. MODEL VERIFICATION ...........................................................................38 VI. RELATIONSHIPS BETWEEN WAVES AND WINDS .......................................41 A. GENERAL RESPONSES .............................................................................41 1. Wind Speed.........................................................................................41 2. Wind Direction...................................................................................42
Recommended publications
  • Appendix 8: Damages Caused by Natural Disasters
    Building Disaster and Climate Resilient Cities in ASEAN Draft Finnal Report APPENDIX 8: DAMAGES CAUSED BY NATURAL DISASTERS A8.1 Flood & Typhoon Table A8.1.1 Record of Flood & Typhoon (Cambodia) Place Date Damage Cambodia Flood Aug 1999 The flash floods, triggered by torrential rains during the first week of August, caused significant damage in the provinces of Sihanoukville, Koh Kong and Kam Pot. As of 10 August, four people were killed, some 8,000 people were left homeless, and 200 meters of railroads were washed away. More than 12,000 hectares of rice paddies were flooded in Kam Pot province alone. Floods Nov 1999 Continued torrential rains during October and early November caused flash floods and affected five southern provinces: Takeo, Kandal, Kampong Speu, Phnom Penh Municipality and Pursat. The report indicates that the floods affected 21,334 families and around 9,900 ha of rice field. IFRC's situation report dated 9 November stated that 3,561 houses are damaged/destroyed. So far, there has been no report of casualties. Flood Aug 2000 The second floods has caused serious damages on provinces in the North, the East and the South, especially in Takeo Province. Three provinces along Mekong River (Stung Treng, Kratie and Kompong Cham) and Municipality of Phnom Penh have declared the state of emergency. 121,000 families have been affected, more than 170 people were killed, and some $10 million in rice crops has been destroyed. Immediate needs include food, shelter, and the repair or replacement of homes, household items, and sanitation facilities as water levels in the Delta continue to fall.
    [Show full text]
  • A P-Vector Module for Z-Coordinate
    A P-Vector Module for z-Coordinate The P-Vector module for z-coordinate was developed to compute absolute velocity from hydrographic data. This package is stored in the enclosed DVD- Rom and includes the makefile, source codes, plotting files (using Matlab), and a sample case. The sample case is located at a subdirectory called sample.dir. The test data set is the WOA climatological (T,S) fields for the North Atlantic Ocean. The gird resolution is set to be 1◦ × 1◦ with 50 vertical levels (i.e., nx = 360,ny = 180,nz = 50). The users may change for their own sakes. Chenwu Fan and Carlos Lozano helped in developing these codes. A.1 Makefile ********************************************************** SRC = whoi.f pvector.f pv.f pvpar.f userinp.f setmask.f matopen.f matclose.f matotal.f matout.f OBJS= $(SRC:.f=.o) FFLAGS= -g pvexe: $(OBJS) f77 $(FFLAGS) -o pvexe $(OBJS) pvector.o: pstate.h pvector.f f77 $(FFLAGS) -c pvector.f pv.o: pstate.h pv.f f77 $(FFLAGS) -c pv.f userinp.o: pstate.h userinp.f f77 $(FFLAGS) -c userinp.f whoi.o: whoi.f f77 -g -c whoi.f pvpar.o: pstate.h pvpar.f f77 -g -c pvpar.f setmask.o: setmask.f 432 A P-Vector Module for z-Coordinate f77 -g -c setmask.f matopen.o: matopen.f f77 -g -c matopen.f matclose.o: matclose.f f77 -g -c matclose.f matotal.o: matotal.f f77 -g -c matotal.f matout.o: pstate.h matout.f f77 $(FFLAGS) -c matout.f A.2 Main Subdirectories There are three major directories (pvector, pvector nc and pvector rotation) of the enclosed DVD-Rom for computing the absolute velocity in z-coordinate system.
    [Show full text]
  • Tropical Cyclone Temperature Profiles and Cloud Macro-/Micro-Physical Properties Based on AIRS Data
    atmosphere Article Tropical Cyclone Temperature Profiles and Cloud Macro-/Micro-Physical Properties Based on AIRS Data 1,2, 1, 3 3, 1, 1 Qiong Liu y, Hailin Wang y, Xiaoqin Lu , Bingke Zhao *, Yonghang Chen *, Wenze Jiang and Haijiang Zhou 1 1 College of Environmental Science and Engineering, Donghua University, Shanghai 201620, China; [email protected] (Q.L.); [email protected] (H.W.); [email protected] (W.J.); [email protected] (H.Z.) 2 State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, China 3 Shanghai Typhoon Institute, China Meteorological Administration, Shanghai 200030, China; [email protected] * Correspondence: [email protected] (B.Z.); [email protected] (Y.C.) The authors have the same contribution. y Received: 9 October 2020; Accepted: 29 October 2020; Published: 2 November 2020 Abstract: We used the observations from Atmospheric Infrared Sounder (AIRS) onboard Aqua over the northwest Pacific Ocean from 2006–2015 to study the relationships between (i) tropical cyclone (TC) temperature structure and intensity and (ii) cloud macro-/micro-physical properties and TC intensity. TC intensity had a positive correlation with warm-core strength (correlation coefficient of 0.8556). The warm-core strength increased gradually from 1 K for tropical depression (TD) to >15 K for super typhoon (Super TY). The vertical areas affected by the warm core expanded as TC intensity increased. The positive correlation between TC intensity and warm-core height was slightly weaker. The warm-core heights for TD, tropical storm (TS), and severe tropical storm (STS) were concentrated between 300 and 500 hPa, while those for typhoon (TY), severe typhoon (STY), and Super TY varied from 200 to 350 hPa.
    [Show full text]
  • China, Social Media, and Environmental Protest
    CHINA, SOCIAL MEDIA, AND ENVIRONMENTAL PROTEST: CIVIC ENGAGEMENT ON NETWORKS OF SCREENS AND STREETS by Elizabeth Ann Brunner A dissertation submitted to the faculty of The University of Utah in partial fulfillment of the requirements for the degree of Doctor of Philosophy Department of Communication The University of Utah May 2016 Copyright © Elizabeth Ann Brunner 2016 All Rights Reserved The University of Utah Graduate School STATEMENT OF DISSERTATION APPROVAL The dissertation of Elizabeth Ann Brunner has been approved by the following supervisory committee members: Kevin Michael DeLuca , Chair 2/23/2016 Date Approved Marouf Hasian , Member 2/23/2016 Date Approved Sean Lawson , Member 2/23/2016 Date Approved Kent Ono , Member 2/23/2016 Date Approved Janet Theiss , Member 2/23/2016 Date Approved and by Kent Ono , Chair/Dean of the Department/College/School of Communication and by David B. Kieda, Dean of The Graduate School. ABSTRACT This dissertation advances a networked approach to social movements via the study of contemporary environmental protests in China. Specifically, I examine anti- paraxylene protests that occurred in 2007 in Xiamen, in 2011 in Dalian, and in 2014 in Maoming via news reports, social media feeds, and conversations with witnesses and participants in the protests. In so doing, I contribute two important concepts for social movement scholars. The first is the treatment of protests as forces majeure that disrupt networks and force the renegotiation of relationships. This turn helps scholars to trace the movement of the social via changes in human consciousness as well as changes in relationships. The second concept I advance is wild public networks, which take seriously new media as making possible different forms of protest.
    [Show full text]
  • The Impact of Environmental Protests in the People's
    RED SKIES: THE IMPACT OF ENVIRONMENTAL PROTESTS IN THE PEOPLE’S REPUBLIC OF CHINA, 2004-2016 A thesis submitted in partial fulfillment of the requirements for the degree of Master of Arts By PORTER LYONS Bachelors of Arts, University of Dayton, 2016 2018 Wright State University WRIGHT STATE UNIVERSITY GRADUATE SCHOOL 04/24/2018 I HEREBY RECOMMEND THAT THE THESIS PREPARED UNDER MY SUPERVISION BY PORTER LYONS ENTITLED RED SKIES: THE IMPACT OF ENVIRONMENTAL PROTESTS IN THE PEOPLE’S REPUBLIC OF CHINA, 2004-2016 BE ACCEPTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF ARTS. Laura M. Luehrmann, Ph.D. Thesis Director Laura M. Luehrmann, Ph.D. Director, Master of Arts Program in International and Comparative Politics Committee on Final Examination: Laura M. Luehrmann, Ph.D. Department of Political Science December Green, Ph.D. Department of Political Science Kathryn Meyer, Ph.D. Department of History Barry Milligan, Ph.D. Interim Dean of the Graduate School ABSTRACT Lyons, Porter. M.A., Department of Political Science, Wright State University, 2018. Red Skies: The Impact of Environmental Protests in the People’s Republic of China, 2004-2016. How do increases in environmental protests in China impact increases in the implementation of environmental policies? Environmental protests in China are gaining traction. By examining these protests, this study analyzes forty-one protests and their impact on government enforcement of environmental regulations. Stratifying this study according to five areas (Beijing, Guangdong, Hunan, Jiangsu, and Sichuan), patterns began to emerge according to each area. Employing a framework William Gamson introduced (2009), this study analyzes the outcomes of environmental contention, including the use of co-optation and preemptive measures.
    [Show full text]
  • Typhoon Track Prediction Using Satellite Images in a Generative Adversarial Network Mario R ¨Uttgers1, Sangseung Lee1, and Donghyun You1,*
    Typhoon track prediction using satellite images in a Generative Adversarial Network Mario R ¨uttgers1, Sangseung Lee1, and Donghyun You1,* 1Pohang University of Science and Technology, Mechanical Engineering, Pohang, 37673, South-Korea *[email protected] ABSTRACT Tracks of typhoons are predicted using satellite images as input for a Generative Adversarial Network (GAN). The satellite images have time gaps of 6 hours and are marked with a red square at the location of the typhoon center. The GAN uses images from the past to generate an image one time step ahead. The generated image shows the future location of the typhoon center, as well as the future cloud structures. The errors between predicted and real typhoon centers are measured quantitatively in kilometers. 42:4% of all typhoon center predictions have absolute errors of less than 80 km, 32:1% lie within a range of 80 - 120 km and the remaining 25:5% have accuracies above 120 km. The relative error sets the above mentioned absolute error in relation to the distance that has been traveled by a typhoon over the past 6 hours. High relative errors are found in three types of situations, when a typhoon moves on the open sea far away from land, when a typhoon changes its course suddenly and when a typhoon is about to hit the mainland. The cloud structure prediction is evaluated qualitatively. It is shown that the GAN is able to predict trends in cloud motion. In order to improve both, the typhoon center and cloud motion prediction, the present study suggests to add information about the sea surface temperature, surface pressure and velocity fields to the input data.
    [Show full text]
  • Appendix 3 Selection of Candidate Cities for Demonstration Project
    Building Disaster and Climate Resilient Cities in ASEAN Final Report APPENDIX 3 SELECTION OF CANDIDATE CITIES FOR DEMONSTRATION PROJECT Table A3-1 Long List Cities (No.1-No.62: “abc” city name order) Source: JICA Project Team NIPPON KOEI CO.,LTD. PAC ET C ORP. EIGHT-JAPAN ENGINEERING CONSULTANTS INC. A3-1 Building Disaster and Climate Resilient Cities in ASEAN Final Report Table A3-2 Long List Cities (No.63-No.124: “abc” city name order) Source: JICA Project Team NIPPON KOEI CO.,LTD. PAC ET C ORP. EIGHT-JAPAN ENGINEERING CONSULTANTS INC. A3-2 Building Disaster and Climate Resilient Cities in ASEAN Final Report Table A3-3 Long List Cities (No.125-No.186: “abc” city name order) Source: JICA Project Team NIPPON KOEI CO.,LTD. PAC ET C ORP. EIGHT-JAPAN ENGINEERING CONSULTANTS INC. A3-3 Building Disaster and Climate Resilient Cities in ASEAN Final Report Table A3-4 Long List Cities (No.187-No.248: “abc” city name order) Source: JICA Project Team NIPPON KOEI CO.,LTD. PAC ET C ORP. EIGHT-JAPAN ENGINEERING CONSULTANTS INC. A3-4 Building Disaster and Climate Resilient Cities in ASEAN Final Report Table A3-5 Long List Cities (No.249-No.310: “abc” city name order) Source: JICA Project Team NIPPON KOEI CO.,LTD. PAC ET C ORP. EIGHT-JAPAN ENGINEERING CONSULTANTS INC. A3-5 Building Disaster and Climate Resilient Cities in ASEAN Final Report Table A3-6 Long List Cities (No.311-No.372: “abc” city name order) Source: JICA Project Team NIPPON KOEI CO.,LTD. PAC ET C ORP.
    [Show full text]
  • Research Article Numerical Analysis on the Effects of Binary Interaction Between Typhoons Tembin and Bolaven in 2012
    Hindawi Advances in Meteorology Volume 2019, Article ID 7529263, 16 pages https://doi.org/10.1155/2019/7529263 Research Article Numerical Analysis on the Effects of Binary Interaction between Typhoons Tembin and Bolaven in 2012 Zhipeng Xian and Keyi Chen School of Atmospheric Sciences, Chengdu University of Information Technology, 610225 Chengdu, China Correspondence should be addressed to Keyi Chen; [email protected] Received 7 November 2018; Revised 14 February 2019; Accepted 26 February 2019; Published 3 April 2019 Academic Editor: Mario M. Miglietta Copyright © 2019 Zhipeng Xian and Keyi Chen. ,is is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. ,e binary interaction is one of the most challenging factors to improve the forecast accuracy of multiple tropical cyclones (TCs) in close vicinity. ,e effect of binary interaction usually results in anomalous track and variable intensity of TCs. A typical interaction type, one-way influence mode, has been investigated by many studies which mainly focused on the anomalous track and record- breaking precipitation, such as typhoons Morakot and Goni. In this paper, a typical case of this type, typhoons Tembin and Bolaven, occurred in the western North Pacific in August 2012, was selected to study how one typhoon impacts the track and intensity of the other one. ,e vortex of Tembin or Bolaven and the monsoon circulation were removed by a TC bogus scheme and a low-pass Lanczos filter, respectively, to carry out the numerical experiments. ,e results show that the presence of monsoon made the binary interaction more complex by affecting the tracks and the translation speeds of the TCs.
    [Show full text]
  • Minnesota Weathertalk Newsletter for Friday, January 7Th, 2011
    Minnesota WeatherTalk Newsletter for Friday, January 7th, 2011 To: MPR Morning Edition Crew From: Mark Seeley, University of Minnesota Extension Dept of Soil, Water, and Climate Subject: Minnesota WeatherTalk Newsletter for Friday, January 7th, 2011 Headlines: -Cold continues -Overlooked feature of 2010 weather -Experimental Extreme Cold Warning -Weekly Weather Potpourri -MPR listener question -Almanac for January 7th -Past weather features -Feeding storms -Outlook Topic: Cold continues to start 2011 Following a colder than normal December, January is continuing the pattern as mean temperatures are averaging 5 to 9 degrees F colder than normal through the first week of the month. Minnesota has reported the coldest temperature in the 48 contiguous states four times so far this month, the coldest being -33 degrees F at Bigfork on the 3rd. In fact several places including Bemidji, International Falls, Bigfork, Babbit, and Cass Lake have recorded -30 degrees F or colder already this month. Temperatures are expected to continue colder than normal well into the third week of the month, with perhaps some moderation in temperature and a January thaw during the last ten days of the month. Topic: Overlooked feature of 2010 weather In my write-up and radio comments of last week about significant weather in 2010 several people mentioned that I overlooked the flash flood event in southern Minnesota over September 22-23, 2010 affecting at least 19 counties. One of the largest flash floods in history, this storm produced rainfall amounts greater than 10 inches in some places (11.06 inches near Winnebago) and near record flood crests on many Minnesota watersheds.
    [Show full text]
  • Philippines: Typhoon & Tropical Storm
    PHILIPPINES: TYPHOON & 25 November 2004 TROPICAL STORM 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 181 countries. In Brief This Information Bulletin (no. 01/2004) is being issued based on the needs described below reflecting the information available at this time. CHF 50,000 has been allocated from the Federation’s Disaster Relief Emergency Fund (DREF), ahead of the results/recommendations of ongoing assessments. Unearmarked funds to repay DREF are needed. Currently it is planned that this operation will be reported on through the DREF update. For further information specifically related to this operation please contact: • In the Philippines : Eric Salve, Philippine National Red Cross officer in-charge DMS, [email protected], phone: +63-527-8334 ext.134, Rene Jinon, Federation Secretariat Disaster Risk Management Programme Office, Southeast Asia regional delegation, mob: +639276428467, email : [email protected] • In Bangkok: Dr Ian Wilderspin, Head of Disaster Risk Management Unit; phone: +662 .640.8211; mob: +661.753.9598; email: [email protected] • Charles Evans/Sabine Feuglet, Southeast Asia desk, phone: +41.22.730.4320/4456, email: [email protected] or [email protected] All International Federation assistance seeks to adhere to the Code of Conduct and is committed to the Humanitarian Charter and Minimum Standards in Disaster Response in delivering assistance to the most vulnerable. For support to or for further information concerning Federation programmes or operations in this or other countries, or for a full description of the national society profile, please access the Federation’s website at http://www.ifrc.org The Situation The Philippines, particularly prone to natural disasters, has been struck by a typhoon and topical storm in recent days, bringing widespread death and destruction.
    [Show full text]
  • Tropical Cyclone Wind-Wave, Storm Surge and Current in Meteorological Prediction
    4 Tropical Cyclone Wind-Wave, Storm Surge and Current in Meteorological Prediction Worachat Wannawong1 and Chaiwat Ekkawatpanit2 1Earth System Science (ESS) Cluster, The Joint Graduate School of Energy and Environment (JGSEE), King Mongkut's University of Technology Thonburi, Bangkok, 2Department of Civil Engineering, Faculty of Engineering, King Mongkut's University of Technology Thonburi, Bangkok, Thailand 1. Introduction Several researches in the earth system prediction have studied a delicate balance among ocean, land, ice, and atmosphere. The researchers have classified the scales in the meteorological prediction; the global, regional, coastal, synoptic, meso and other scales (Wittmann & Farrar, 1997). These discoveries raise new questions that now define the course of research for the coming three decades. From this scientific foundation, Earth System Science (ESS) cluster, The Joint Graduate School of Energy and Environment (JGSEE) must carefully formulate plans for requisite missions. The resultant next phase of research will extend our understanding of how ocean ecosystems, coastal sediment and erosion, coastal habitats, and hazards influence Earth’s ecosystem health and services, human health, welfare, recreation, and commerce. ESS’s Research Program will also enable the formulation of effective strategies for assessing, adapting to, and managing climate change through observations and improved Earth System modeling capabilities. In this chapter, the recent events have illustrated the devastation and loss of human life, property, and commerce from environmental hazards that have impacted coastal zones (Fig. 1). Fig. 1. Super Typhoon Durian on December 3, 2006 from the earth observatory using data provided courtesy of the MODIS Rapid Response Team and NASA Goddard Space Flight Center by Jesse Allen (2006), Hundreds of people in Viet Nam are homeless and the families search through hundreds of destroyed villages for loved ones by Live Science (2006).
    [Show full text]
  • Study on Typhoon Characteristic Based on Bridge Health Monitoring System
    Hindawi Publishing Corporation e Scientific World Journal Volume 2014, Article ID 204675, 11 pages http://dx.doi.org/10.1155/2014/204675 Research Article Study on Typhoon Characteristic Based on Bridge Health Monitoring System Xu Wang,1 Bin Chen,2 Dezhang Sun,3 and Yinqiang Wu4 1 State Key Laboratory Breeding Base of Mountain Bridge and Tunnel Engineering, Chongqing Jiaotong University, Chongqing 400074, China 2 College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China 3 Institute of Engineering Mechanics, China Earthquake Administration, Harbin 150080, China 4 Bureau of Public Works of Shenzhen Municipality, Shenzhen 518006, China Correspondence should be addressed to Dezhang Sun; [email protected] Received 25 March 2014; Revised 8 May 2014; Accepted 8 May 2014; Published 10 June 2014 Academic Editor: Ying Lei Copyright © 2014 Xu Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Through the wind velocity and direction monitoring system installed on Jiubao Bridge of Qiantang River, Hangzhou city, Zhejiang province, China, a full range of wind velocity and direction data was collected during typhoon HAIKUI in 2012. Based on these data, it was found that, at higher observed elevation, turbulence intensity is lower, and the variation tendency of longitudinal and lateral turbulence intensities with mean wind speeds is basically the same. Gust factor goes higher with increasing mean wind speed, and the change rate obviously decreases as wind speed goes down and an inconspicuous increase occurs when wind speed is high.
    [Show full text]