Tool 3 :Lessons Learned from the Extreme Natural Disasters
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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. -
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. -
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. -
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. -
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. -
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. -
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. -
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). -
Numerical Simulation of Tropical Cyclone Generated Waves in South China Sea During Winter Monsoon Surge Peng Qi1,2,3* & Aimei Wang4
www.nature.com/scientificreports OPEN Numerical simulation of tropical cyclone generated waves in South China Sea during winter monsoon surge Peng Qi1,2,3* & Aimei Wang4 The South China Sea (SCS) is a highly semi-enclosed marginal sea located in the East Asian monsoon region. This paper proposes interesting aspects of the unique feature of the SCS waves in response to tropical cyclone’s passage when large-scale winter monsoon winds prevail. We use the wave model WaveWatch III to study the wave characteristics of typhoon Durian (2006) passing over the middle of SCS in early December 2006, and state the new understanding acquired in the aspects of the tropical cyclone generated waves in the SCS during winter monsoon surge. In light of this, the role of the large-scale NE monsoon winds on winter typhoon wave feld characteristics in the SCS are highlighted by conducting sensitivity experiments with and without the NE monsoon winds. The NE monsoon winds weakly afect the SWH feld near the typhoon track and strongly away from the track, especially in the deep water area of the northern SCS where the NE monsoon winds produce high waves. Comparisons between the two experiments show the efect of the NE monsoon winds on the directional wave spectra in the SCS, suggesting that the monsoon-generated swells do not decay and remain throughout the typhoon period. Te South China Sea (SCS) is located at 0°–23° N, 99° E–121° E, with a total area of about 3.5 × 106 km2. It is the largest and highly semi-enclosed marginal sea between the Asian continent to the north and the west, the Philip- pine islands to the east, and the Kalimantan (Borneo) to the south. -
Coastal Disaster Risk in Southern Vietnam the Problems of Coastal Development and the Need for Better Coastal Planning
Background Paper prepared for the Global Assessment Report on Disaster Risk Reduction 2013 Coastal Disaster Risk in Southern Vietnam The Problems of Coastal Development and the Need for Better Coastal Planning Hiroshi Takagi Tokyo Institute of Technology Nguyen Danh Thao Ho Chi Minh City University of Technology Miguel Esteban Waseda University Tran Thu Tam Ho Chi Minh City University of Technology Hanne Louise Knaepen Kyoto University Takahito Mikami Waseda University and Lilian Yamamoto UNU-IAS Geneva, Switzerland, 2013 Coastal Disaster Risk in Southern Vietnam -the Problems of Coastal Development and the Need for Better Coastal Planning- 1 2 3 2 Hiroshi Takagi , Nguyen Danh Thao , Miguel Esteban , Tran Thu Tam , 4 3 5 Hanne Louise Knaepen , Takahito Mikami and Lilian Yamamoto List of Contents 1. Introduction ....................................................................................................................................2 2. Analysis of natural hazards causing coastal disasters ......................................................................3 2.1 Tropical cyclones ........................................................................................................................3 2.2 Storm surges ..............................................................................................................................4 2.3 Tsunamis ....................................................................................................................................7 2.4 Coastal erosion ........................................................................................................................ -
Data Collection Survey on Strategy Development of Disaster Risk Reduction and Management in the Socialist Republic of Vietnam
SOCIALIST REPUBLIC OF VIETNAM DATA COLLECTION SURVEY ON STRATEGY DEVELOPMENT OF DISASTER RISK REDUCTION AND MANAGEMENT IN THE SOCIALIST REPUBLIC OF VIETNAM FINAL REPORT SEPTEMBER 2018 JAPAN INTERNATIONAL COOPERATION AGENCY (JICA) EARTH SYSTEM SCIENCE CO., LTD. NIKKEN SEKKEI CIVIL ENGINEERING LTD. 1R IDEA CONSULTANTS, INC. JR 18-070 SOCIALIST REPUBLIC OF VIETNAM DATA COLLECTION SURVEY ON STRATEGY DEVELOPMENT OF DISASTER RISK REDUCTION AND MANAGEMENT IN THE SOCIALIST REPUBLIC OF VIETNAM FINAL REPORT SEPTEMBER 2018 JAPAN INTERNATIONAL COOPERATION AGENCY (JICA) EARTH SYSTEM SCIENCE CO., LTD. NIKKEN SEKKEI CIVIL ENGINEERING LTD. IDEA CONSULTANTS, INC. Following Currency Rates are used in the Report Vietnam Dong VND 1,000 US Dollar US$ 0.043 Japanese Yen JPY 4.800 Survey Targeted Area (Division of Administration) Final Report Data Collection Survey on Strategy Development of Disaster Risk Reduction and Management in the Socialist Republic of Vietnam SUMMARY 1. Natural Disaster Risk in Vietnam (1) Disaster Damages According to statistics of natural disaster records from 2007 to 2017, the number of deaths and missing by floods and storms accounts for 77% of total death and missing. The number of deaths and missing of landslide and flash flood is second largest, it accounts for 10 % of total number. The largest economic damage is also brought by floods and storms, which accounts for 91% of the total damage. In addition, damage due to drought accounts for 6.4 %, which was brought by only drought event in 2014-2016. Figure 1: Disaster records in Vietnam Regarding distribution of disasters, deaths and missing as well as damage amount caused by floods and storms are distributed countrywide centering on the coastal area. -
Hong Kong Observatory Tracks of Tropical
/0 HONG KONG OBSERVATORY MUIFA #AUG TRACKS OF TROPICAL CYCLONES IN 2011 DE ROKE (), SEP !"# $ NO MERBOK BC Daily Positions at 00 UTC(08 HKT), AUG SONCA the number in the symbol represents 234 @A SEP the date of the month PQ TALAS MAON- NORU SEP JUL ,- SEP Intermediate 6-hourly Positions RS .)+' MEARI Super Typhoon JUN )+' Severe Typhoon +' Typhoon )* '( Severe Tropical Storm '( Tropical Storm % & Tropical Depression T.D. BJ AUG SONGDA TU FG MAY AERE KULAP MAY SEP 9:; NANMADOL KLM AUG T.D. SARIKA AUG Hong Kong JUN DE()1115 ROKE SEP NO()1110 MERBOK 56 AUG NESAT BC()1116 SEP PQ()1113 SONCA <= FG()1114 NORU SEP BANYAN KULAP SEP >@ OCT HAIMA SEP JUN DV HI NOCK- TEN HI()1119 @A()1106 NALGAE JUL NALGAE MAON- OCT >? SEP JUL HAITANG 9:;()1111 SEP 234(1112) NANMADOL 78 TALAS >?()1118 AUG KLM()1103 >@()1104 TOKAGE AUG HAITANG SARIKA HAIMA 78()1107 JUL SEP JUN JUN TOKAGE 56()1117 DV(1108) JUL NESAT NOCK- TEN SEP TU(1101) JUL AERE MAY RS(1105) MEARI JUN /0(1109) 1 MUIFA WASHI BJ(11 02) #JUL DEC SONGDA MAY <=()1120 BANYAN OCT 1()1121 WASHI DEC 二零一一年 熱 帶 氣 旋 TROPICAL CYCLONES IN 2011 2 二零一三年四月出版 Published April 2013 香港天文台編製 香港九龍彌敦道 134A Prepared by: Hong Kong Observatory 134A Nathan Road Kowloon, Hong Kong © 版權所有。未經香港天文台台長同意,不得翻印本刊物任何部分內容。 © Copyright reserved. No part of this publication may be reproduced without the permission of the Director of the Hong Kong Observatory. 本刊物的編製和發表,目的是促進資 This publication is prepared and 料交流。香港特別行政區政府(包括 disseminated in the interest of promoting 其僱員及代理人) 對於本刊物所載資 the exchange of information.