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Climate Disasters in the Philippines: a Case Study of the Immediate Causes and Root Drivers From
Zhzh ENVIRONMENT & NATURAL RESOURCES PROGRAM Climate Disasters in the Philippines: A Case Study of Immediate Causes and Root Drivers from Cagayan de Oro, Mindanao and Tropical Storm Sendong/Washi Benjamin Franta Hilly Ann Roa-Quiaoit Dexter Lo Gemma Narisma REPORT NOVEMBER 2016 Environment & Natural Resources Program Belfer Center for Science and International Affairs Harvard Kennedy School 79 JFK Street Cambridge, MA 02138 www.belfercenter.org/ENRP The authors of this report invites use of this information for educational purposes, requiring only that the reproduced material clearly cite the full source: Franta, Benjamin, et al, “Climate disasters in the Philippines: A case study of immediate causes and root drivers from Cagayan de Oro, Mindanao and Tropical Storm Sendong/Washi.” Belfer Center for Science and International Affairs, Cambridge, Mass: Harvard University, November 2016. Statements and views expressed in this report are solely those of the authors and do not imply endorsement by Harvard University, the Harvard Kennedy School, or the Belfer Center for Science and International Affairs. Design & Layout by Andrew Facini Cover photo: A destroyed church in Samar, Philippines, in the months following Typhoon Yolanda/ Haiyan. (Benjamin Franta) Copyright 2016, President and Fellows of Harvard College Printed in the United States of America ENVIRONMENT & NATURAL RESOURCES PROGRAM Climate Disasters in the Philippines: A Case Study of Immediate Causes and Root Drivers from Cagayan de Oro, Mindanao and Tropical Storm Sendong/Washi Benjamin Franta Hilly Ann Roa-Quiaoit Dexter Lo Gemma Narisma REPORT NOVEMBER 2016 The Environment and Natural Resources Program (ENRP) The Environment and Natural Resources Program at the Belfer Center for Science and International Affairs is at the center of the Harvard Kennedy School’s research and outreach on public policy that affects global environment quality and natural resource management. -
SCIENCE CHINA Effects of Tide-Surge Interactions on Storm Surges Along
SCIENCE CHINA Earth Sciences • RESEARCH PAPER • doi: 10.1007/s11430-015-5251-y Effects of tide-surge interactions on storm surges along the coast of the Bohai Sea, Yellow Sea, and East China Sea XU JunLi1, ZHANG YuHong2, CAO AnZhou1, LIU Qiang2* & LV XianQing1 1 Key Laboratory of Physical Oceanography (Ocean University of China), Ministry of Education, Ocean University of China, Qingdao 266100, China; 2 College of Engineering, Ocean University of China, Qingdao 266100, China Received August 27, 2015; accepted November 17, 2015 Abstract A two-dimensional coupled tide-surge model was used to investigate the effects of tide-surge interactions on storm surges along the coast of the Bohai Sea, Yellow Sea, and East China Sea. In order to estimate the impacts of tide-surge interactions on storm surge elevations, Typhoon 7203 was assumed to arrive at 12 different times, with all other conditions remaining constant. This allowed simulation of tide and total water levels for 12 separate cases. Numerical simulation results for Yingkou, Huludao, Shijiusuo, and Lianyungang tidal stations were analyzed. Model results showed wide variations in storm surge elevations across the 12 cases. The largest difference between 12 extreme storm surge elevation values was of up to 58 cm and occurred at Yingkou tidal station. The results indicate that the effects of tide-surge interactions on storm surge elevations are very significant. It is therefore essential that these are taken into account when predicting storm surge elevations. Keywords Storm surges, Astronomical tides, Tide-surge interactions, Typhoon 7203, Coupled tide-surge model Citation: Xu J L, Zhang Y H, Cao A Z, Liu Q, Lv X Q. -
Philippines: Typhoons
Emergency Appeal no. MDRPH002 PHILIPPINES: TC-2006-000175-PHL 4 December 2006 TYPHOONS 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 THIS REVISED EMERGENCY APPEAL SEEKS CHF 8,833,789 (USD 7,318,798 OR EUR 5,552,350) IN CASH, KIND, OR SERVICES TO SUPPORT THE PHILIPPINE NATIONAL RED CROSS IN ASSISTING 200,000 BENEFICIARIES FOR NINE MONTHS. Appeal history: · Disaster Relief Emergency Funds (DREF) allocated in September: CHF 100,000 (USD 80,000 or EUR 63,291). This DREF will be reimbursed through this Appeal. · Launched on 2 October 2006 for CHF 5,704,261 (USD 4,563,408 or EUR 3,610,292) for three months to assist 126,000 beneficiaries. · Revised 19 October 2006 for CHF 5,704,261 (USD 4,563,408 or EUR 3,610,292) for nine months to assist 126,000 beneficiaries. · 1 December 2006, Disaster Relief Emergency Funds (DREF) allocated: An aerial view of the devastation wrought by typhoon Durian. CHF 100,000 (USD 80,000 or EUR 63,291). This appeal re-launch is to take into account the fourth successive typhoon to hit the Philippines within the past two months. The extent of the impact of the latest typhoon, Durian (Reming) is yet to be fully determined. However, initial reports indicate widespread damage caused by the effects of strong wind, rain, floods, mudflow and landslides. A further revision and expansion of the appeal will be undertaken in the coming days based on the assessments of the Philippine National Red Cross (PNRC), the field assessment and coordination team (FACT), the regional disaster response team (RDRT) and the Federation’s country delegation assessment teams currently in the field. -
Appeals: Southeast Asia: Typhoon Chebi - Nov 2006, Consolidated Ap… Appeals Process (CAP): Typhoon Appeal 2006 for Philippines, Appe 05/07/2007 04:02 PM
Appeals: Southeast Asia: Typhoon Chebi - Nov 2006, Consolidated Ap… Appeals Process (CAP): Typhoon Appeal 2006 for Philippines, Appe 05/07/2007 04:02 PM log in | My ReliefWeb | help | Contact Search this section entire site Advanced Search Source: United Nations Office for the Coordination of Print E-mail Save Humanitarian Affairs (OCHA) Date: 15 Dec 2006 Consolidated Appeals Process (CAP): Typhoon Appeal 2006 for Philippines See all maps for this Emergency 1. EXECUTIVE SUMMARY FIND RELATED Typhoon Impacts DOCUMENTS The Philippines was hit by three extreme weather disturbances (typhoons) in a span By Emergency: of 10 weeks from 25 September to 1 December 2006, then another lower order Southeast Asia: Typhoon typhoon on 9 December. These events triggered landslides, flash floods, mudslides, Chebi - Nov 2006 Southeast Asia: Typhoon widespread flooding and together with the associated high winds, caused Cimaron - Oct 2006 destruction and damage to homes, community buildings, communications, Southeast Asia: Typhoon infrastructure, roads, bridges, agricultural crops and fishing farms. Durian - Dec 2006 Southeast Asia: Typhoon Typhoon Reming (also called Durian), which hit on 30 November, was the most Xangsane - Sep 2006 destructive, severely affecting the provinces of Albay, Catanduanes, and Camarines Sur in southeastern Luzon Island, although significant damage was also recorded in By Country: Philippines Mindoro Oriental, Marinduque, Batangas, Laguna, Mindoro Occidental and Romblon provinces. Most of the severely affected areas are coastal and farming By Source: municipalities and towns located around the periphery of Mt. Mayon Volcano. United Nations Office for the Coordination of Over a thousand lives are estimated to have been lost, and over 180,000 houses Humanitarian Affairs have been totally destroyed by Reming alone. -
Integrating Spatial, Temporal, and Size Probabilities for the Annual Landslide Hazard Maps in the Shihmen Watershed, Taiwan
Open Access Nat. Hazards Earth Syst. Sci., 13, 2353–2367, 2013 Natural Hazards www.nat-hazards-earth-syst-sci.net/13/2353/2013/ doi:10.5194/nhess-13-2353-2013 and Earth System © Author(s) 2013. CC Attribution 3.0 License. Sciences Integrating spatial, temporal, and size probabilities for the annual landslide hazard maps in the Shihmen watershed, Taiwan C. Y. Wu and S. C. Chen Department of Soil and Water Conservation, National Chung-Hsing University, Taichung 40227, Taiwan Correspondence to: S. C. Chen ([email protected]) Received: 23 February 2013 – Published in Nat. Hazards Earth Syst. Sci. Discuss.: 19 March 2013 Revised: 13 August 2013 – Accepted: 13 August 2013 – Published: 25 September 2013 Abstract. Landslide spatial, temporal, and size probabilities susceptible to landslides, and heavy rainfall during typhoons were used to perform a landslide hazard assessment in this or storms have indeed caused large landslides of loosened study. Eleven intrinsic geomorphological, and two extrinsic soil (Wu and Chen, 2009). Furthermore, climate change en- rainfall factors were evaluated as landslide susceptibility re- larges bare land areas, thereby increasing the frequency of lated factors as they related to the success rate curves, land- landslides in Taiwan (Chen and Huang, 2010). Because of slide ratio plots, frequency distributions of landslide and non- the uncertainties associated with natural disasters, risk man- landslide groups, as well as probability–probability plots. agement is necessary to minimize losses (Chen et al., 2010). Data on landslides caused by Typhoon Aere in the Shihmen In view of the growing emphasis on risk management in dis- watershed were selected to train the susceptibility model. -
1 Storm Surge in Seto Inland Sea with Consideration Of
STORM SURGE IN SETO INLAND SEA WITH CONSIDERATION OF THE IMPACTS OF WAVE BREAKING ON SURFACE CURRENTS Han Soo Lee1, Takao Yamashita1, Tomoaki Komaguchi2, and Toyoaki Mishima3 Storm surge and storm wave simulations in Seto Inland Sea (SIS) in Japan were conducted for Typhoon Yancy (9313) and Chaba (0416) using an atmosphere (MM5)-wave (SWAN)-ocean (POM) modeling system. In the coupled modeling system, a new method for wave-current interaction in terms of momentum transfer due to whitecapping in deep water and depth-induced wave breaking in shallow water was considered. The calculated meteorological and wave fields show good agreement with the observations in SIS and its vicinities. The storm surge results also exhibit good accordance with the observations in SIS. To resolve a number of islands in SIS, we also performed numerical experiments with different grid resolutions and obtained improved results from higher resolutions in wave and ocean circulation fields. Keywords: Seto Inland Sea; storm surge; atmosphere-wave-ocean coupled model; air-sea interaction; whitecapping; depth-induced wave breaking INTRODUCTION Storm surge due to tropical cyclones (TCs) varies from place to place depending on the geographical features of the place we are interested in such as the effect of surrounding topography on meteorological fields, geographical shape of the bay or harbor, underwater bathymetry, tide, and interaction with other water bodies including rivers and open seas and oceans. In the storm surge modeling it is difficult to consider all of these effects such that we have to compromise some of them for simplifying a problem, more efficient modeling and engineering purpose. -
4. the TROPICS—HJ Diamond and CJ Schreck, Eds
4. THE TROPICS—H. J. Diamond and C. J. Schreck, Eds. Pacific, South Indian, and Australian basins were a. Overview—H. J. Diamond and C. J. Schreck all particularly quiet, each having about half their The Tropics in 2017 were dominated by neutral median ACE. El Niño–Southern Oscillation (ENSO) condi- Three tropical cyclones (TCs) reached the Saffir– tions during most of the year, with the onset of Simpson scale category 5 intensity level—two in the La Niña conditions occurring during boreal autumn. North Atlantic and one in the western North Pacific Although the year began ENSO-neutral, it initially basins. This number was less than half of the eight featured cooler-than-average sea surface tempera- category 5 storms recorded in 2015 (Diamond and tures (SSTs) in the central and east-central equatorial Schreck 2016), and was one fewer than the four re- Pacific, along with lingering La Niña impacts in the corded in 2016 (Diamond and Schreck 2017). atmospheric circulation. These conditions followed The editors of this chapter would like to insert two the abrupt end of a weak and short-lived La Niña personal notes recognizing the passing of two giants during 2016, which lasted from the July–September in the field of tropical meteorology. season until late December. Charles J. Neumann passed away on 14 November Equatorial Pacific SST anomalies warmed con- 2017, at the age of 92. Upon graduation from MIT siderably during the first several months of 2017 in 1946, Charlie volunteered as a weather officer in and by late boreal spring and early summer, the the Navy’s first airborne typhoon reconnaissance anomalies were just shy of reaching El Niño thresh- unit in the Pacific. -
Typhoon Haiyan Action Plan November 2013
Philippines: Typhoon Haiyan Action Plan November 2013 Prepared by the Humanitarian Country Team 100% 92 million total population of the Philippines (as of 2010) 54% 50 million total population of the nine regions hit by Typhoon Haiyan 13% 11.3 million people affected in these nine regions OVERVIEW (as of 12 November) (12 November 2013 OCHA) SITUATION On the morning of 8 November, category 5 Typhoon Haiyan (locally known as Yolanda ) made a direct hit on the Philippines, a densely populated country of 92 million people, devastating areas in 36 provinces. Haiyan is possibly the most powerful storm ever recorded . The typhoon first ma de landfall at 673,000 Guiuan, Eastern Samar province, with wind speeds of 235 km/h and gusts of 275 km/h. Rain fell at rates of up to 30 mm per hour and massive storm displaced people surges up to six metres high hit Leyte and Samar islands. Many cities and (as of 12 November) towns experienced widespread destruction , with as much as 90 per cent of housing destroyed in some areas . Roads are blocked, and airports and seaports impaired; heavy ships have been thrown inland. Water supply and power are cut; much of the food stocks and other goods are d estroyed; many health facilities not functioning and medical supplies quickly being exhausted. Affected area: Regions VIII (Eastern Visayas), VI (Western Visayas) and Total funding requirements VII (Central Visayas) are hardest hit, according to current information. Regions IV-A (CALABARZON), IV-B ( MIMAROPA ), V (Bicol), X $301 million (Northern Mindanao), XI (Davao) and XIII (Caraga) were also affected. -
'State Visit-Plus' for Trump in China
BEIJING Your Beijing Bible • Insightful and interactive – real voices from the capital’s expat community • Issues, life and style • Culture, eating, nightlife and more Metro Beijing appears in the English edition of the Global Times here in Beijing, Monday to Friday. Nation InDepth Life Business Path out Common Plunder Dandong of poverty destiny & rescue angry at US 6 12-13 20 sanctions B1 www.globaltimes.com.cn VOLUME 9 • NO. 2432 • TUESDAY NOVEMBER 7, 2017 PRICE 2 YUAN Vigil for the victims A candlelight vigil is observed on Sunday following the mass shooting at the First Baptist Church in Sutherland Springs, Texas, that left 26 people dead (see stories on pages 3 and 10). Photo: AFP Chinese public keenly follows Asia trip Beidou navigation system to ‘outperform GPS by 2020’ ‘State visit-plus’ for dou Navigation Satellite Sys- By Liu Yang in Xichang and Zhang Hui in Beijing tem. Beidou will lead the world China used a single carrier and outperform the GPS sys- Trump in China rocket Sunday night to launch tem by around 2020 when two state-of-the-art satellites Beidou goes global, into space, marking the global Chinese space ex- 2 network expansion of its Bei- perts said. Global By Li Ruohan first foreign head of state to vis- communication on significant it China after the 19th National issues of common concern to Amid tremendous public curi- Congress of the Communist build a new consensus, en- osity over the visit of US Presi- Party of China. hance mutual understanding Inside dent Donald Trump, China is China and the US are and friendship, and promote pulling out all the stops in its working to ensure President bilateral relations in all spheres, Top News: Chinese fear rising US gun violence 3 preparations for the leader who Trump’s state visit is a “historic Zheng said. -
Tropical Cyclone Intensity Estimation Using Multi-Dimensional Convolutional Neural Networks from Geostationary Satellite Data
remote sensing Article Tropical Cyclone Intensity Estimation Using Multi-Dimensional Convolutional Neural Networks from Geostationary Satellite Data Juhyun Lee 1, Jungho Im 1,* , Dong-Hyun Cha 1, Haemi Park 2 and Seongmun Sim 1 1 School of Urban & Environmental Engineering in Ulsan National Institute of Science and Technology, Ulsan 44919, Korea; [email protected] (J.L.); [email protected] (D.-H.C.); [email protected] (S.S.) 2 Institute of Industrial Science in the University of Tokyo, A building, 4 Chome-6-1 Komaba, Meguro City, Tokyo 153-8505, Japan; [email protected] * Correspondence: [email protected]; Tel.: +82-52-217-2824 Received: 25 November 2019; Accepted: 25 December 2019; Published: 28 December 2019 Abstract: For a long time, researchers have tried to find a way to analyze tropical cyclone (TC) intensity in real-time. Since there is no standardized method for estimating TC intensity and the most widely used method is a manual algorithm using satellite-based cloud images, there is a bias that varies depending on the TC center and shape. In this study, we adopted convolutional neural networks (CNNs) which are part of a state-of-art approach that analyzes image patterns to estimate TC intensity by mimicking human cloud pattern recognition. Both two dimensional-CNN (2D-CNN) and three-dimensional-CNN (3D-CNN) were used to analyze the relationship between multi-spectral geostationary satellite images and TC intensity. Our best-optimized model produced a root mean squared error (RMSE) of 8.32 kts, resulting in better performance (~35%) than the existing model using the CNN-based approach with a single channel image. -
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. -
The Mechanism of the Storm Surges in the Seto Inland Sea Caused By
Technical Review No. 9 (March 2007) RSMC Tokyo - Typhoon Center The Mechanism of the Storm Surges in the Seto Inland Sea Caused by Typhoon Chaba (0416) Nadao KOHNO Typhoon Research Department, Meteorological Research Institute, 1-1Nagamine, Tsukuba 305-0052, Japan Kazuo KAMAKURA, Hiroaki MINEMATSU*, Yukihiro YORIOKA, Kazuhisa HISASHIGE, Eichi SHIMIZU, Yuichi SATO, Akifumi FUKUNAGA, Yoshihiko TANIWAKI, and Shigekazu TANIJO Observation and Forecast Division, Takamatsu Local Observatory, 1277-1 Fuki-ishi, Takamatsu 761-8071, Japan Abstract Typhoon Chaba in 2004 made landfall on the southeastern Kyushu and went through Chugoku (western part of Japan’s Main Island) on 30 August, causing large storm surges in the Seto Inland Sea (SIS). The high tide records were broken at tide stations in Takamatsu and Uno Ports. We analyzed the tidal data and simulated this case with a numerical storm surge model. The storm surges moved eastward along with the passage of the typhoon, and it was favorably simulated. The results revealed that the wind set-up basically played a key role in causing the large storm surges. However, the maximum storm surge (MSS) in Takamatsu did not occur when the typhoon was the nearest to the city, but about 2 hours later. Since the time of MSS approximately corresponds to the high spring tide time, the record breaking storm tide was observed there. Moreover, we found the SIS can be divided into 6 areas according to the characteristics of sea topography and dominant wind direction by the typhoon. We also investigated the degrees of the contribution of two main factors of storm surges, i.e.