Indigenous Knowledge and Endogenous Actions for Building Tribal Resilience After Typhoon Soudelor in Northern Taiwan
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Part 1-B Cause & Impact of Landfalling Tropical Cyclone
Part 1-b Cause & Impact of Landfalling Tropical Cyclone Rainfall & River Flooding • In addition to high winds & storm surge, all tropical storms can produce torrential rains causing massive flooding & trigger landslides and debris floods • Catastrophic flash flooding may occur as a result of intense rainfall over a relatively short duration. Longer duration storms, say a few days, can be equally devastating. 2 River flooding associated with heavy rainfall from tropical cyclones Flood stages & inundation maps • Rain-triggered flooding is not confined to coastal areas. The reach of a large tropical storm can cause flooding well inland, especially along the estuaries. • Beneficial contributions of tropical cyclones: rainfall for needed water supply in the region; and maintenance of global heat balance 5 Cases of landfalling of catastrophic tropical cyclones • Hurricane Andrew , August 24, 1993- Florida • Hurricane Allison , June 5-9, 2001- Houston and TX and LA coasts • Hurricane Katrina , Aug 29, 2005- New Orleans & LA and TX coasts • Hurricane Mitch , Oct 26- Nov 5, Honduras, Salvador, Nicaragua, and Guatemala • Typhoon Morakot , August 3-10, 2009, Taiwan • Typhoon Ketsana , Sept 23-30, 2009, Manila, Philippine , Vietnam & Cambodia 6 Hurricane Andrew (Aug24,1993) 7 Hurricane Andrew (Aug24,1993) Source: Report on Hurricane Andrew Storm Summary & Impacts on Florida Beaches, by USACE & Florida DNR, May 1993 Pressure zones, wind zones and storm surge contour 9 Surge at landfall & waves height Storm surges Wave Heights 10 Impact of gusts on homes 11 Impacts on beaches of Florida 12 Erosion and accretion of beach profiles 13 Hurricane Allison, June 5-9, 2001 * Hurricane Allison’s swath of rainfall – 25-50 cm or more rainfall in coastal TX & LA for nearly 6 days. -
Natural Disaster Hotspots
Japan Society of Civil Engineers 100th Anniversary Commemorative Ceremony – the 3rd RTM on Disaster Management November 19, 2014 Natural Characteristics of Taiwan Disasters Caused by Typhoon Morakot Reconstruction of Alishan Highway Rational Thoughts 2 1. Natural Characteristics of Taiwan Natural Disaster Risk According to the report by the World Bank (2005) 「Natural Disaster Hotspots – A Global Risk Analysis」 In Taiwan, 73.1% of Total Area and Population Exposed to Multiple Hazard Types of Hazard: Cyclones, Floods, Earthquakes, Landslides Taiwan 4 Typhoon and heavy rain Map of Typhoon routes, 1985~2005 Taiwan NASA 5 Typhoon and heavy rain Average Water Usage per Capita Geographical features and Average Annual Rainfall (mm/yr) (m3/per capita/yr) hydrological background in Taiwan Taiwan Philippines Japan India Uk Italy USA 5.4 times 2.5 times France China Canada Australia Saudi Arabia Average Slope of River Dajia River Zhuoshui River Danshui River EUR. Rhine Elevation Taiwan (m) Japan Shinanogawa USA Colorado River Tonegawa China Mekong River Distance (m) 6 Eurasian Eurasian Plate Plate Philippine Sea Plate Distribution of annual earthquakes 49928 49928 50000 地震次數No. of Earthquake地震次數 50000 1999 5年平均 5年平均Avg. of 5yrs Chichi EQ 40000 28808 數 40000 30000 28097 次 25449 19347 16074 24323 震 22093 No.of No.of EQ 21783 2880816977 數 地 20000 17961 18059 18379 15650 16244 16422 30000 14802 2809714981 次 4319 10000 25449 19347 16074 4933 24323 4682 5446 震 4518 22093 2017 21783 169770 地 20000 17961 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003180592004 2005 2006 2007183792008 15650 16244時 Year 間 16422 14802 14981 7 4319 10000 4933 4682 5446 4518 2017 0 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 時 間 Chichi Earthquake, 1999 Sept. -
The Impact of Tropical Cyclone Hayan in the Philippines: Contribution of Spatial Planning to Enhance Adaptation in the City of Tacloban
UNIVERSIDADE DE LISBOA FACULDADE DE CIÊNCIAS Faculdade de Ciências Faculdade de Ciências Sociais e Humanas Faculdade de Letras Faculdade de Ciências e Tecnologia Instituto de Ciências Sociais Instituto Superior de Agronomia Instituto Superior Técnico The impact of tropical cyclone Hayan in the Philippines: Contribution of spatial planning to enhance adaptation in the city of Tacloban Doutoramento em Alterações Climáticas e Políticas de Desenvolvimento Sustentável Especialidade em Ciências do Ambiente Carlos Tito Santos Tese orientada por: Professor Doutor Filipe Duarte Santos Professor Doutor João Ferrão Documento especialmente elaborado para a obtenção do grau de Doutor 2018 UNIVERSIDADE DE LISBOA FACULDADE DE CIÊNCIAS Faculdade de Ciências Faculdade de Ciências Sociais e Humanas Faculdade de Letras Faculdade de Ciências e Tecnologia Instituto de Ciências Sociais Instituto Superior de Agronomia Instituto Superior Técnico The impact of tropical cyclone Haiyan in the Philippines: Contribution of spatial planning to enhance adaptation in the city of Tacloban Doutoramento em Alterações Climáticas e Políticas de Desenvolvimento Sustentável Especialidade em Ciências do Ambiente Carlos Tito Santos Júri: Presidente: Doutor Rui Manuel dos Santos Malhó; Professor Catedrático Faculdade de Ciências da Universidade de Lisboa Vogais: Doutor Carlos Daniel Borges Coelho; Professor Auxiliar Departamento de Engenharia Civil da Universidade de Aveiro Doutor Vítor Manuel Marques Campos; Investigador Auxiliar Laboratório Nacional de Engenharia Civil(LNEC) -
Global Catastrophe Review – 2015
GC BRIEFING An Update from GC Analytics© March 2016 GLOBAL CATASTROPHE REVIEW – 2015 The year 2015 was a quiet one in terms of global significant insured losses, which totaled around USD 30.5 billion. Insured losses were below the 10-year and 5-year moving averages of around USD 49.7 billion and USD 62.6 billion, respectively (see Figures 1 and 2). Last year marked the lowest total insured catastrophe losses since 2009 and well below the USD 126 billion seen in 2011. 1 The most impactful event of 2015 was the Port of Tianjin, China explosions in August, rendering estimated insured losses between USD 1.6 and USD 3.3 billion, according to the Guy Carpenter report following the event, with a December estimate from Swiss Re of at least USD 2 billion. The series of winter storms and record cold of the eastern United States resulted in an estimated USD 2.1 billion of insured losses, whereas in Europe, storms Desmond, Eva and Frank in December 2015 are expected to render losses exceeding USD 1.6 billion. Other impactful events were the damaging wildfires in the western United States, severe flood events in the Southern Plains and Carolinas and Typhoon Goni affecting Japan, the Philippines and the Korea Peninsula, all with estimated insured losses exceeding USD 1 billion. The year 2015 marked one of the strongest El Niño periods on record, characterized by warm waters in the east Pacific tropics. This was associated with record-setting tropical cyclone activity in the North Pacific basin, but relative quiet in the North Atlantic. -
Directory of Head Office and Branches Foreword
Directory of Head Office and Branches Foreword I. Domestic Business Units 20 Sec , Chongcing South Road, Jhongjheng District, Taipei City 0007, Taiwan (R.O.C.) P.O. Box 5 or 305, Taipei, Taiwan Introduction SWIFT: BKTWTWTP http://www.bot.com.tw TELEX: 1120 TAIWANBK CODE OFFICE ADDRESS TELEPHONE FAX Department of 20 Sec , Chongcing South Road, Jhongjheng District, 0037 02-23493399 02-23759708 Business Taipei City Report Corporate Department of Public 20 Sec , Gueiyang Street, Jhongjheng District, Taipei 0059 02-236542 02-23751125 Treasury City 58 Sec , Chongcing South Road, Jhongjheng District, Governance 0082 Department of Trusts 02-2368030 02-2382846 Taipei City Offshore Banking 069 F, 3 Baocing Road, Jhongjheng District, Taipei City 02-23493456 02-23894500 Branch Department of 20 Sec , Chongcing South Road, Jhongjheng District, Fund-Raising 850 02-23494567 02-23893999 Electronic Banking Taipei City Department of 2F, 58 Sec , Chongcing South Road, Jhongjheng 698 02-2388288 02-237659 Securities District, Taipei City Activities 007 Guancian Branch 49 Guancian Road, Jhongjheng District, Taipei City 02-2382949 02-23753800 0093 Tainan Branch 55 Sec , Fucian Road, Central District, Tainan City 06-26068 06-26088 40 Sec , Zihyou Road, West District, Taichung City 04-2222400 04-22224274 Conditions 007 Taichung Branch General 264 Jhongjheng 4th Road, Cianjin District, Kaohsiung 0118 Kaohsiung Branch 07-2553 07-2211257 City Operating 029 Keelung Branch 6, YiYi Road, Jhongjheng District, Keelung City 02-24247113 02-24220436 Chunghsin New Village -
No. Area Post Office Name Zip Code Telephone No. Address Same Day
Zip Same Day Flight No. Area Post Office Name Telephone No. Address Code Cutoff Time* 1 Yilan Yilan Jhongshan Rd. Post Office 26044 (03)9324-133 (03)9326-727 No. 130, Sec. 3, Jhongshan Rd., Yilan 260-44, Taiwan (R.O.C.) 13:30 2 Yilan Yilan Jinlioujie Post Office 26051 (03)9368-142 No. 100, Sec. 3, Fusing Rd., Yilan 260-51, Taiwan (R.O.C.) 12:10 3 Yilan Yilan Weishuei Rd. Post Office 26047 (03)9325-072 No. 275, Sec. 2, Jhongshan Rd., Yilan 260-47, Taiwan (R.O.C.) 12:20 4 Yilan Yuanshan Post Office 26441 (03)9225-073 No. 299, Sec. 1, Yuanshan Rd., Yuanshan Township, Yilan County 264-41, Taiwan (R.O.C.) 11:50 5 Yilan Yuanshan Neicheng Post Office 26444 (03)9221-096 No. 353, Rongguang Rd., Yuanshan, Yilan County 264-44, Taiwan (R.O.C.) 11:40 6 Yilan Yilan Sihou St. Post Office 26044 (03)9329-185 No. 2-1, Sihou St., Yilan 260-44, Taiwan (R.O.C.) 12:20 7 Yilan Jhuangwei Post Office 26344 (03)9381-705 No. 327, Jhuang 5th Rd., Jhuangwei, Yilan County 263-44, Taiwan (R.O.C.) 12:00 8 Yilan Yilan Donggang Rd. Post Office 26057 (03)9385-638 No. 32-30, Donggang Rd., Yilan 260-57, Taiwan (R.O.C.) 12:10 9 Yilan Yilan Dapo Rd. Post Office 26054 (03)9283-195 No. 225, Sec. 2, Dapo Rd., Yilan 260-54, Taiwan (R.O.C.) 11:40 10 Yilan Yilan University Post Office 26047 (03)9356-052 No.1, Sec. -
Dependence of Probabilistic Quantitative Precipitation Forecast Performance on Typhoon Characteristics and Forecast Track Error in Taiwan
APRIL 2020 T E N G E T A L . 585 Dependence of Probabilistic Quantitative Precipitation Forecast Performance on Typhoon Characteristics and Forecast Track Error in Taiwan HSU-FENG TENG AND JAMES M. DONE National Center for Atmospheric Research, Boulder, Colorado CHENG-SHANG LEE Department of Atmospheric Sciences, National Taiwan University, Taipei, Taiwan YING-HWA KUO National Center for Atmospheric Research, and University Corporation for Atmospheric Research, Boulder, Colorado (Manuscript received 15 August 2019, in final form 7 January 2020) ABSTRACT This study investigates the probabilistic quantitative precipitation forecast (PQPF) performance of ty- phoons that affected Taiwan during 2011–16. In this period, a total of 19 typhoons with a land warning issued by the Central Weather Bureau (CWB) are analyzed. The PQPF is calculated using the ensemble precipi- tation forecast data from the Taiwan Cooperative Precipitation Ensemble Forecast Experiment (TAPEX), and the verification data, verification thresholds, and typhoon characteristics are obtained from the CWB. The overall PQPF performance of TAPEX has an acceptable reliability and discrimination ability, and the higher probability error is distributed at the mountainous area of Taiwan. The PQPF performance is significantly influenced by typhoon characteristics (e.g., typhoon tracks, sizes, and forward speeds). The PQPFs for westward-moving, large, or slow typhoons have higher reliability and discrimination ability, and lower- probability error than those for northward-moving, small, or fast typhoons, except for similar reliability between fast and slow typhoons. Because northward-moving or small typhoons have larger forecast track error, and their PQPF performance is sensitive to the accuracy of the forecast track, a higher probability error occurs than that for westward-moving or large typhoons. -
An Alternative Chronicle of Natural Disaster: Social Justice Journalism in Taiwan
International Journal of Communication 13(2019), 3321–3340 1932–8036/20190005 An Alternative Chronicle of Natural Disaster: Social Justice Journalism in Taiwan CHIAONING SU Oakland University, USA In 2009, Taiwan experienced a catastrophic natural disaster, Typhoon Morakot, which killed 700 people and caused $4.7 billion in economic losses. While mainstream media spent a month covering this event and focused only on the ravaged landscape, political tensions, and public sentiment, an alternative news platform, 88news, dedicated four years to investigating the disaster relief efforts of both the government and the NGOs, and their impact on the lives of indigenous victims. Focusing on the content of 88news and its production process, this article examines an alternative disaster story told by a group of independent journalists to make political interventions in times of crisis. It argues that disasters present not only a disruption of the normal social life, but also an intervention of mainstream news production and representation that opens an alternative space for marginal voices, both journalistically and ethnically, to question the dominant world view. Keywords: alternative journalism, indigenous culture, social justice, natural disaster, environmental refugees In the age of extreme weather, human suffering is on the rise as natural disasters increase in frequency and intensity. In 2009, Taiwan experienced a catastrophe of historic proportions when Typhoon Morakot pummeled the island on August 8. Over 48 hours, the storm dumped a record-breaking 2,777 mm of rain in Southern Taiwan, triggering major landslides, killing nearly 700 people, and causing more than $4.7 billion in economic losses (Ge, Li, Zhang, & Peng, 2010). -
Tropical Cyclones Avoidance in Ocean Navigation – Safety of Navigation and Some Economical Aspects
the International Journal Volume 12 on Marine Navigation Number 1 http://www.transnav.eu and Safety of Sea Transportation March 2018 DOI: 10.12716/1001.12.01.06 Tropical Cyclones Avoidance in Ocean Navigation – Safety of Navigation and Some Economical Aspects M. Szymański & B. Wiśniewski Maritime University of Szczecin, Szczecin, Poland ABSTRACT: Based upon the true voyages various methods of avoidance maneuver determination in ship – cyclone encounter situations were presented. The goal was to find the economically optimal solution (minimum fuel consumption, maintaining the voyage schedule) while at the same time not to exceed an acceptable weather risk level. 1 INTRODUCTION 1 Opposite courses – courses of the ship and the cyclone differ by 150° to 210°. Tropical cyclone avoidance in shipping by merchant 2 Crossing situation– courses of the ship and the ships is a constant element of both ocean and coastal cyclone cross at an angle of 30° ‐ 90°. navigation. It has a significant influence upon the 3 Overtaking of the cyclone by the ship. economical and safety aspects of the voyage.The key In each of them a certain type of action (course decision in tropical cyclone avoidance is the alteration, slowing down or speeding up) is regarded determining of the moment of the beginning of as the most effective one. avoidance manoeuvre and the determining of the correct course and speed with maintaining the Determination of the avoidance maneuver in commercial and economic viability of the voyage. coastal and restricted waters is a separate issue.Within the area of the tropical storm the wind is By commercial and economic viability of the very violent and the seas are high and confused. -
State of the Climate in 2015
STATE OF THE CLIMATE IN 2015 Special Supplement to the Bulletin of the American Meteorological Society Vol. 97, No. 8, August 2016 severed during the storm, and four days after the Islands, on 28 June. Over the next couple of days, the storm nearly 60% of the nation’s inhabited islands system moved westward into the Australian region, remained cut off from the outside world. According where it was named a TC. Raquel then moved east- to UNESCO, 268 million U.S. dollars was required for ward into the South Pacific basin, where it weakened total recovery and rehabilitation of Vanuatu. into a tropical depression. On 4 July, the system The storm’s winds gradually slowed afterwards as moved south-westward and impacted the Solomon Pam tracked west of the Tafea Islands. However, the Islands with high wind gusts and heavy rain. Fiji Meteorological Service indicated that the TC’s pressure dropped farther to 896 hPa on 14 March. f. Tropical cyclone heat potential—G. J. Goni, J. A. Knaff, As Pam travelled farther south, the storm’s eye faded and I.-I. Lin away and Pam’s low-level circulation became dis- This section summarizes the previously described placed from its associated thunderstorms, indicating tropical cyclone (TC) basins from the standpoint of a rapid weakening phase. Later on 15 March, Pam en- tropical cyclone heat potential (TCHP) by focusing on tered a phase of extratropical transition and affected vertically integrated upper ocean temperature condi- northeast New Zealand and the Chatham Islands tions during the season for each basin with respect to with high winds, heavy rain, and rough seas. -
Fast Storm Surge Ensemble Prediction Using Searching Optimization of a Numerical Scenario Database
OCTOBER 2021 X I E E T A L . 1629 Fast Storm Surge Ensemble Prediction Using Searching Optimization of a Numerical Scenario Database a,b,c a,b,c a a a,b,c a,b,c YANSHUANG XIE, SHAOPING SHANG, JINQUAN CHEN, FENG ZHANG, ZHIGAN HE, GUOMEI WEI, a,b,c d d JINGYU WU, BENLU ZHU, AND YINDONG ZENG a College of Ocean and Earth Sciences, Xiamen University, Xiamen, China b Research and Development Center for Ocean Observation Technologies, Xiamen University, Xiamen, China c Laboratory of Underwater Acoustic Communication and Marine Information Technology, Ministry of Education, Xiamen University, Xiamen, China d Fujian Marine Forecasts, Fuzhou, China (Manuscript received 6 December 2020, in final form 10 June 2021) ABSTRACT: Accurate storm surge forecasts provided rapidly could support timely decision-making with consideration of tropical cyclone (TC) forecasting error. This study developed a fast storm surge ensemble prediction method based on TC track probability forecasting and searching optimization of a numerical scenario database (SONSD). In a case study of the Fujian Province coast (China), a storm surge scenario database was established using numerical simulations generated by 93 150 hypothetical TCs. In a GIS-based visualization system, a single surge forecast representing 2562 distinct typhoon tracks and the occurrence probability of overflow of seawalls along the coast could be achieved in 1–2 min. Application to the cases of Typhoon Soudelor (2015) and Typhoon Maria (2018) demonstrated that the proposed method is feasible and effective. Storm surge calculated by SONSD had excellent agreement with numerical model results (i.e., mean MAE and RMSE: 7.1 and 10.7 cm, respectively, correlation coefficient: .0.9). -
Understanding Disaster Risk ~ Lessons from 2009 Typhoon Morakot, Southern Taiwan
Understanding disaster risk ~ Lessons from 2009 Typhoon Morakot, Southern Taiwan Wen–Chi Lai, Chjeng-Lun Shieh Disaster Prevention Research Center, National Cheng-Kung University 1. Introduction 08/10 Rainfall 08/07 Rainfall started & stopped gradually typhoon speed decrease rapidly 08/06 Typhoon Warning for Inland 08/03 Typhoon 08/05 Typhoon Morakot warning for formed territorial sea 08/08 00:00 Heavy rainfall started 08/08 12:00 ~24:00 Rainfall center moved to south Taiwan, which triggered serious geo-hazards and floodings Data from “http://weather.unisys.com/” 1. Introduction There 4 days before the typhoon landing and forecasting as weakly one for norther Taiwan. Emergency headquarters all located in Taipei and few raining around the landing area. The induced strong rainfalls after typhoon leaving around southern Taiwan until Aug. 10. The damages out of experiences crush the operation system, made serious impacts. Path of the center of Typhoon Morakot 1. Introduction Largest precipitation was 2,884 mm Long duration (91 hours) Hard to collect the information High intensity (123 mm/hour) Large depth (3,000 mm-91 hour) Broad extent (1/4 of Taiwan) The scale and type of the disaster increasing with the frequent appearance of extreme weather Large-scale landslide and compound disaster become a new challenge • Area:202 ha Depth:84 meter Volume: 24 million m3 2.1 Root Cause and disaster risk drivers 3000 Landslide Landslide (Shallow, Soil) (Deep, Bedrock) Landslide dam break Flood Debris flow Landslide dam form Alisan Station ) 2000