DOCSLIB.ORG

Fair Impact-Based Forecasting in Manila Bay, Philippines

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Fair Impact-Based Forecasting in Manila Bay, Philippines Fair Impact -based Forecasting in Manila Bay, Philippines Integration of the information needs of disaster managers into fair impact-based forecasting to improve emergency management Irene Benito Lazaro I On the cover, aerial image of Barangay Tangos, in Manila Bay, Philippines. Image taken by Bernhard Lang, 2017. II Fair impact-based forecasting in Manila Bay, Philippines Integration of the information needs of disaster managers into fair impact-based forecasting, to improve emergency management By Irene Benito Lazaro in partial fulfilment of the requirements for the degree of Master of Science in Civil Engineering at the Delft University of Technology, to be defended publicly on Monday October 14, 2019 at 10:00 AM. Thesis committee: Prof. dr. ir. N. van de Giesen, TU Delft Dr. ir. H. Winsemius, TU Delft Dr. J. Bricker, TU Delft MSc. R. Schotten, Deltares Advisor: MSc. A. Teklesadik 510, NLRC An electronic version of this thesis is available at http://repository.tudelft.nl/. III IV Preface This thesis represents the final result of becoming a Master of Science in Water Management at Delft University of Technology, at the Faculty of Civil Engineering and Geosciences. I would like to acknowledge all the people that has contributed to my graduation. I would first like to thank my committee for assessing my thesis. Secondly, I would like to thank Deltares and 510 for giving me the change of doing a thesis in such a fascinating topic and providing me the opportunity of working in these two fantastic working environments. I am grateful to Roman Schotten for the daily supervision during my work, which has allowed me to learn and improve my research, and to Aklilu Teklesadik for his guidance and help on the field work to the Philippines. Besides, I would like to thank all the disaster managers and emergency people I have had the honour to talk to during my thesis and the amazing people I met during my visit in the Philippines. Finally, I want to thank my family, for helping to reach my dreams, and my friends for their endless support. Irene Benito Lazaro Delft, September 2019 V Abstract The Philippines is a country located in the typhoon belt of the Pacific. Its location makes it typhoon prone and on average around 20 typhoons enter the country every year (Asian Disaster Reduction Center, 2008). This natural phenomenon can have disastrous effects and therefore, good preparedness is of special importance. Traditionally weather forecasts have been used in order to predict the physical characteristics of typhoons to organise early actions that can dampen their damage. However, regardless the good meteorological forecasts, typhoons kept having large effects in coastal areas, due to the gap of knowledge between a hazard and its impact. For this reason, nowadays disaster managers are increasingly more interested in the knowing the repercussion of natural hazards, which can help to prepare and mitigate their consequences (Tozier de la Poterie et al., 2018). Although forecasts that predict the impact of hazards, the so-called impact-based forecasts, are rising, there are not many of these systems operationalised yet. To make these forecasts more functional it is essential to understand what their users’ needs are. Because disaster managers work under stressful conditions, it is crucial to have the right information in order to take effective actions. This research has developed an impact-based forecasting prototype for Manila Bay, Philippines, considering the information needs of disaster managers. In order to do so, an iterative process has been followed in the creation of the system, in which disaster managers provided their inputs and feedbacks on the prototype. The impacts on the assets of relevance for the disaster managers have been forecasted with the use of Delft-FEWS and Delft-FIAT. Furthermore, this forecasting system has been novel in predicting the impact of typhoons considering not only the hazard and exposure but also implementing the vulnerabilities of the affected area. The findings of this study suggest that an impact-based forecasting system for Manila Bay should provide information on the affected population, livelihoods, hospitals, roads and schools. Those assets have been pointed out as most important for disaster managers at local scale. The output of the forecasting system should provide actionable results that allow disaster managers to make quick and relevant decisions. Furthermore, the data displayed in the system should be simple, clear and with colour codes that allow for a fast interpretation of the results and provide maps with information of the impacts on all the assets per municipality or province. Besides, it has been observed that vulnerability plays an important role when prioritising the action areas of disaster managers. The aim of this research was to develop an impact-based forecasting system that considers the information and display needs of disaster managers, while integrating the vulnerabilities of the affected area. Therefore, the objective of this thesis was not to develop an accurate mathematical model that provides the exact impact. Instead, it is a guide of what a disaster managers-based forecast should provide. Hence, in order to make this forecasting system operational, validation of the prototype and consideration of other hazards, such as wind speeds, are recommended. VI VII Table of Contents 1 INTRODUCTION ................................................................................................................................................... 1 1.1 PROBLEM STATEMENT ............................................................................................................................................. 1 1.2 PURPOSE OF THIS THESIS .......................................................................................................................................... 1 1.3 RESEARCH QUESTIONS ............................................................................................................................................. 2 1.4 THESIS STRUCTURE .................................................................................................................................................. 2 2 THEORETICAL FRAMEWORK ................................................................................................................................ 4 2.1 RISK ..................................................................................................................................................................... 4 2.2 HAZARD: STORM SURGE ........................................................................................................................................... 5 2.3 EXPOSURE: MANILA BAY .......................................................................................................................................... 6 2.4 VULNERABILITY....................................................................................................................................................... 9 2.5 WEATHER FORECASTING ........................................................................................................................................ 11 2.6 IMPACT-BASED FORECASTING .................................................................................................................................. 12 2.7 IMPACT FORECASTING ............................................................................................................................................ 14 3 LITERATURE REVIEW........................................................................................................................................... 15 3.1 EXPRESSIONS FOR RISK OF IMPACT ............................................................................................................................ 15 3.2 IMPACT-BASED FORECASTING .................................................................................................................................. 17 3.2.1 Impact-based forecasting: state of the art ................................................................................................. 17 3.2.2 Forecast-based Financing ........................................................................................................................... 18 3.2.3 Impact-based forecasting in the Philippines ............................................................................................... 19 3.2.4 Cyclone impact-based forecasting for Manila Bay...................................................................................... 20 3.3 DISASTER MANAGEMENT IN NATURAL HAZARD EVENTS ................................................................................................. 22 3.3.1 Human – computer interaction in emergency management ...................................................................... 23 3.3.2 Cyclone forecasting and warning in the Philippines .................................................................................... 24 3.3.3 Disaster management structure in the Philippines ..................................................................................... 25 4 SOFTWARE USAGE .............................................................................................................................................. 27 4.1 DELFT-FEWS ...................................................................................................................................................... 27 4.2 WES .................................................................................................................................................................
Load more

Recommended publications
  • Supporting Shine (School Hydrological Information Network) Increasing Children’S Awareness and Participation in Disaster Risk Reduction
    Project ENCORE Enhancing Community Resilience to Disasters Supporting SHINe (School Hydrological Information Network) Increasing children’s awareness and participation in disaster risk reduction On September 26, 2011, Typhoon Nesat (Pedring) hit close to 3,500 communities in the northern region of the Philippines. Typhoon Nalgae (Quiel) hit on October 1, taking the same route. About 4 million were affected by the typhoons, destroying agricultural lands, road and water systems, health centers and 914 schools. A total of 101 people died, including 42 children. Save the Children’s Project ENCORE (Enhancing Community Resilience to Disasters) builds on the Nesat/Nalgae emergency as well as other programs’ experience to increase the understanding of the hazards the province of Bulacan faces. Through an innovative urban disaster risk reduction approach, the project aims to facilitate the organizing of child-led groups to disseminate DRR/mitigation messages and implement DRR/mitigation activities supporting the province's SHINe (School Project ENCORE aims to: Hydrological Information Network) program. Increase the capacity of children In coordination with Ms. Liz Mungcal, Bulacan’s Provincial and youth to identify risks, Disaster Risk Reduction Management Officer, Mr. Hilton solutions, and initiate action on Hernando, Assistant Weather Services Chief of the Pampanga River Basin Flood Forecasting and Warning DRR within their communities; Center/PAGASA which is under the Department of Science and Technology, and the Department of Education Improve the capacity of Division of Bulacan, SHINe orientation sessions were households to adopt appropriate conducted for nine (9) schools covered by ENCORE. waste management and The high school batch was conducted on February 8 at Sta.
    [Show full text]
  • Philippines: Typhoon Nelgae and Nesat Situation Report No
    Philippines: Typhoon Nelgae and Nesat Situation Report No. 3 04 October 2011 This report is produced by OCHA in collaboration with humanitarian partners. It was issued by OCHA Philippines. It covers the period from 30 Sept to 4 Oct. The next SitRep will be issued on 6 October. I. HIGHLIGHTS/KEY PRIORITIES • Typhoon Nalgae (Quiel) traced its path along the track of Typhoon Nesat (Pedring) compounding the devastating impact on residents of northern and central Luzon. • Philippines Red Cross highlighted food, emergency shelter, water, hygiene and sanitation (WASH) and non-food items as the most urgent needs. • Access remains a challenge to flooded and isolated areas, with communication and power lines down. • Eight provinces bore the brunt of Typhoon Nalgae. Four Municipalities remain under water in Bulacan and Pangasinan Provinces. • Joint Government / HCT assessments planned in Bulacan and Pangasinan Provinces. • No request for international assistance by Government to date. II. Situation Overview Typhoon Nalgae, locally known as Quiel, hit the Philippines on 1 October and traced its path over the devastation left by Typhoon Nesat (locally known as Pedring) on 28 September across northern and central Luzon. Sixteen provinces were affected by Typhoon Nalgae in four Regions, which were hit four days earlier by Typhoon Nesat that affected 34 Provinces. The eight hardest hit areas by Typhoon Nalgae were Bulacan, Pangasinan, Pampanga, Ifugao, Isabela, Nueva Ecija, Quirino and Aurora Provinces. PAGASA forecasts indicate that Tropical Storm Ramon has dissipated to a tropical disturbance, with no likelihood of developing into a typhoon. Nevertheless, the NDRRMC remains on alert as the weather systems remain dynamic and further tropical storms could develop in the coming days.
    [Show full text]
  • NASA Sees Typhoon Nesat Nearing Landfall in Northern Philippines 26 September 2011
    NASA sees Typhoon Nesat nearing landfall in northern Philippines 26 September 2011 26 as its center approaches northern Luzon, Philippines. It was located only 225 miles east- northwest of Manila, near 15.9 North and 124.2 East. It was moving to the west-northwest near 14 knots (16 mph/26 kmh). Satellite imagery shows tightly-curved bands of thunderstorms wrapping into the low level center of circulation. That's an indication the storm is well- organized. The strongest convection and thunderstorms are mostly over the western semi- circle of the storm today. Microwave satellite data does reveal Nesat has an eye which helps forecasters pinpoint Nesat's center. PAGASA, the Philippines' meteorological service expects Nesat (Pedring) will make landfall Tuesday This visible image of Typhoon Nesat was captured by afternoon (local time/Philippines) over Casiguran, the MODIS instrument on Sunday, Sept. 25, at 2:40 UTC Aurora and will be in the vicinity of Baguio City. as its western edges began to spread over the Coastal areas can expect dangerous surf and high Philippines. Nesat's eye is not visible in this image. ocean swells, heavy rainfall and gusty winds. Credit: NASA Goddard MODIS Rapid Response Team Many watches and warnings are in effect. A Signal 3 (for the strongest winds) has been posted for: Catanduanes, Camarines Sur, Camarines Norte, NASA's Terra satellite saw the western edges of Northern Quezon, Polillo Island, Aurora, Quirino Typhoon Nesat brushing the eastern Philippines and Isabela. Signal 2 is in effect for Albay, Burias yesterday as Luzon prepares for a landfall today.
    [Show full text]
  • Combinatorial Optimization for WRF Physical Parameterization Schemes: a Case Study of Three-Day Typhoon Simulations Over the Northwest Pacific Ocean
    atmosphere Article Combinatorial Optimization for WRF Physical Parameterization Schemes: A Case Study of Three-Day Typhoon Simulations over the Northwest Pacific Ocean Zhenhua Di 1,2,* , Wei Gong 1 , Yanjun Gan 3 , Chenwei Shen 1 and Qingyun Duan 1 1 State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China; [email protected] (W.G.); [email protected] (C.S.); [email protected] (Q.D.) 2 State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China 3 State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, China; [email protected] * Correspondence: [email protected]; Tel.: +86-10-5880-0217 Received: 21 March 2019; Accepted: 23 April 2019; Published: 1 May 2019 Abstract: Quantifying a set of suitable physics parameterization schemes for the Weather Research and Forecasting (WRF) model is essential for obtaining highly accurate typhoon forecasts. In this study, a systematic Tukey-based combinatorial optimization method was proposed to determine the optimal physics schemes of the WRF model for 15 typhoon simulations over the Northwest Pacific Ocean, covering all available schemes of microphysics (MP), cumulus (CU), and planetary boundary layer (PBL) physical processes. Results showed that 284 scheme combination searches were sufficient to find the optimal scheme combinations for simulations of track (km), central sea level pressure 1 (CSLP, hPa), and 10 m maximum surface wind (10-m wind, m s− ), compared with the 700 sets of full combinations (i.e., 10 MP 7 CU 10 PBL).
    [Show full text]
  • Valuing Protective Services of Mangroves in the Philippines Technical Report
    WAVES Technical Report July 2017 Valuing Protective Services of Mangroves in the Philippines Technical Report Wealth Accounting and the Valuation of Ecosystem Services i www.wavespartnership.org Team at the Institute of Hydraulics at the University of Cantabria ÍÑIGO J. LOSADA RODRÍGUEZ PELAYO MENÉNDEZ FERNÁNDEZ ANTONIO ESPEJO HERMOSA SAÚL TORRES ORTEGA PEDRO DÍAZ SIMAL FELIPE FERNÁNDEZ PÉREZ SHEILA ABAD HERRERO NICOLÁS RIPOLL CABARGA JAVIER GARCÍA ALBA Team at The Nature Conservancy MICHAEL W. BECK SIDDHARTH NARAYAN DANIA TRESPALACIOS ANGELA QUIROZ This Technical Report was primarily funded by World Bank WAVES program. Additional funding was provided by the International Climate Initiative (IKI) of the German Federal Ministry for the Environment, Nature Conservation, Building and Nuclear Safety (BMUB), and the Lloyd’s Tercentenary Research Foundation. This Technical Report is accompanied by a Policy Brief for policy makers. Many thanks to Stefanie Sieber, Glenn-Marie Lange, Maya Gabriela Q. Villaluz, Gem Castillo, Rosalyn Sontillanosa, Marnel Ratio and to the attendees of the Valuation training the week of Dec 5, 2016. Suggested Citation: Losada, I.J., M. Beck, P. Menéndez, A. Espejo, S. Torres, P. Díaz-Simal, F. Fernández, S. Abad, N. Ripoll, J. García, S. Narayan, D. Trespalacios. 2017. Valuation of the Coastal Protection Services of Mangroves in the Philippines. World Bank, Washington, DC. Points of contact: Michael W. Beck, [email protected] Íñigo J. Losada Rodríguez, [email protected] WAVES - Global Partnership for Wealth Accounting and the Valuation of Ecosystem Services Wealth Accounting and the Valuation of Ecosystem Services (WAVES) is a global partnership led by the World Bank that aims to promote sustainable development by mainstreaming natural capital in development planning and national economic accounting systems, based on the System of Environmental-Economic Accounting (SEEA).
    [Show full text]
  • Preliminary Engineering of a Seawall to Mitigate Typhoon- Induced Wave Overtopping Along Roxasboulevard, Manila
    PRELIMINARY ENGINEERING OF A SEAWALL TO MITIGATE TYPHOON- INDUCED WAVE OVERTOPPING ALONG ROXASBOULEVARD, MANILA Eric C. Cruz2,1 Jose Carlo Eric L. Santos1 Laurenz Luigi B. Cruz1 1. AMH Philippines, Inc. 2. Institute of Civil Engineering, University of the Philippines Diliman August 3, 2018 Outline 1. Introduction 2. Methodology 3. Project Area Data 4. Analysis of Historical Typhoons 5. Coastal Engineering 6. Preliminary Engineering 7. Conclusions INTRODUCTION Project Location US Embassy START of Seawall N 1611982.1 E 497644.2 Luzon Island Manila Yacht Club END of Seawall N 1610753.7 Manila Bay E 498204.4 INTRODUCTION (video) Notes • Observed water level nearly at level with seawall crest • Nearly constant wave overtopping https://www.youtube.com/watch?v=F_IkbxHawIw INTRODUCTION Project Background http://www.demokrathaber.net/images/album INTRODUCTION Project Background 2011 • Typhoon Nesat/Pedring caused overtopping which led to the seawall collapse; rehabilitation of the seawall was immediately undertaken 2012 • High waves induced by Typhoon Saola/Gener overtopped the recently rehabilitated seawall but the seawall was not damaged extensively. 2013 • National Public Works Agency (DPWH) – commissioned a study to understand the typhoon hazards and recommend mitigating measures. http://www.fashionpulis.com/2011/09/pedring-fierce-storm.html INTRODUCTION Design Considerations 1. Technical Considerations • Hazards, such as typhoons and earthquakes Storm Tides and Waves Liquefaction and Lateral Spreading 1990 Luzon Earthquake – resulted in
    [Show full text]
  • Response of Coastal Water in the Taiwan Strait to Typhoon Nesat of 2017
    water Article Response of Coastal Water in the Taiwan Strait to Typhoon Nesat of 2017 Renhao Wu 1,2 , Qinghua Yang 1,3 , Di Tian 4, Bo Han 1,2, Shimei Wu 1,2 and Han Zhang 4,* 1 School of Atmospheric Sciences, and Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, Sun Yat-sen University, Zhuhai 519082, China; [email protected] (R.W.); [email protected] (Q.Y.); [email protected] (B.H.); [email protected] (S.W.) 2 Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519082, China 3 State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100039, China 4 State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China; [email protected] * Correspondence: [email protected] Received: 29 September 2019; Accepted: 4 November 2019; Published: 7 November 2019 Abstract: The oceanic response of the Taiwan Strait (TWS) to Typhoon Nesat (2017) was investigated using a fully coupled atmosphere-ocean-wave model (COAWST) verified by observations. Ocean currents in the TWS changed drastically in response to significant wind variation during the typhoon. The response of ocean currents was characterised by a flow pattern generally consistent with the Ekman boundary layer theory, with north-eastward volume transport being significantly modified by the storm. Model results also reveal that the western TWS experienced the maximum generated storm surge, whereas the east side experienced only moderate storm surge.
    [Show full text]
  • Typhoon Nesat
    Emergency appeal Philippines: Typhoon Nesat Emergency appeal n° MDRPH007 GLIDE n° TC-2011-000147-PHL and TC-2011-000149-PHL 10 November 2011 This Revised Emergency Appeal seeks CHF 4,114,366 (USD 4.6 million or EUR 3.3 million) in cash, kind, or services to support the Philippine Red Cross to assist 25,000 families (125,000 persons) for 12 months. The operation will be completed by 30 September 2012 and a final report will be made available by 31 December 2012 (three months after the end of operation). Appeal history: • Preliminary Emergency Appeal was launched on 4 October 2011 for CHF 3,550,719 for eight months to assist 250,000 beneficiaries. • Disaster Relief Emergency Fund A woman receives relief items from the Philippine Red Cross in Calumpit (DREF): CHF 280,000 was Municipality, Bulacan, as other residents wait in the queue. allocated to support this Photo: Pablo Reyes/IFRC operation. Summary: More than 4 million people in the Philippines were severely affected when typhoons Nesat and Nalgae hit the island of Luzon during the week of 26 September – 2 October 2011. National disaster authorities have placed the combined death toll from the twin storms at 101, with a further 103 injured and 27 missing. The estimated total cost of damage by the twin disasters is PHP 15 billion (CHF 320 million), exceeding that caused by Typhoon Ketsana in late 2009. Agriculture and infrastructure have been severely impacted, and more than 71,500 houses damaged or destroyed. The hardest hit region is Central Luzon, which accounts for around 2.5 million of the total affected population.
    [Show full text]
  • Coastline to Provide Natural Storm Defense
    6 | Monday, March 18, 2019 HONG KONG EDITION | CHINA DAILY CHINA Environment Authorities plan to use the existing environment to ensure improved protection from typhoons in the Greater Bay Area. Chen Zimo reports from Hong Kong. A major landscape development under construction along the Tianmu River, the main watercourse through the new district of Hengqin in Zhuhai, Guangdong province, in December. PROVIDED TO CHINA DAILY Coastline to provide natural storm defense oastal areas across the flood resilience and climate adapta­ ronmental protection during future Guangdong­Hong Kong­ tion on five continents. development, especially in reclama­ Macao Greater Bay Area are Most of his work has been under­ tion areas. ‘Dynamic to be fortified against taken in cities that have learned hard The Civil Engineering and Devel­ C“once­in­a­century typhoons”, lessons after storms wreaked heavy opment Department is planning which, despite the name, seem to be destruction. He cited New Orleans in new environmentally friendly sea monitoring arriving more frequently. the wake of Hurricane Katrina and walls, while flood­prevention struc­ Super typhoons have become a New York after Hurricane Sandy. tures will feature mudflats and mechanism’ plague along the coasts of Hong Dircke’s philosophy emphasizes mangroves that will act as natural Kong and Guangdong province, resilience in hard­hit areas. Because wave barriers. prompting governments to preserve of the possibility that water will One is under construction at the planned and recreate natural seashores. breach the highest barriers, one of Tung Chung East reclamation site References to Typhoon Hato the most important considerations on Lantau Island.
    [Show full text]
  • MEMBER REPORT (Hong Kong, China)
    MEMBER REPORT ESCAP/WMO Typhoon Committee 44th Session 6 – 11 February 2012 Hangzhou, China (Hong Kong, China) “Annual activities covering the period from 1 January 2011 to 31 December 2011” CONTENTS Page I. Overview of tropical cyclones which have affected/impacted 3-10 Member’s area since the last Typhoon Committee Session II. Summary of progress in Key Result Areas 10-37 1. Progress on Key Result Area 1 Reduced Loss of Life from Typhoon-related Disasters 2. Progress on Key Result Area 2 Minimized Typhoon-related Social and Economic Impacts 3. Progress on Key Result Area 3 Enhanced Beneficial Typhoon-related Effects for the Betterment of Quality of life 4. Progress on Key Result Area 4 Improved Typhoon-related Disaster Risk Management in Various Sectors. 5. Progress on Key Result Area 5 Strengthened Resilience of Communities to Typhoon-related Disasters 6. Progress on Key Result Area 6 Improved Capacity to Generate and Provide Accurate, Timely, and understandable Information on Typhoon-related Threats 7. Progress on Key Result Area 7 Enhanced Typhoon Committee’s Effectiveness and International Collaboration. III. Resource Mobilization Activities 37 IV. Update of Members’ Working Groups representatives 37 2 I. Overview of tropical cyclones which have affected/impacted Member’s area in 2011 1. Meteorological Assessment (highlighting forecasting issues/impacts) Five tropical cyclones affected Hong Kong during 2011. They were: (a) Tropical Storm Sarika (1103) (b) Tropical Storm Haima (1104) (c) Severe Tropical Storm Nock-ten (1108) (d) Typhoon Nesat (1117) (e) Severe Typhoon Nalgae (1119) The No. 8 SE Gale or Storm Signal was issued during the passage of Typhoon Nesat, the highest tropical cyclone warning signal in Hong Kong during 2011.
    [Show full text]
  • NASA's Aqua Satellite Tracks Typhoon Nesat Headed Toward Taiwan 28 July 2017
    NASA's Aqua satellite tracks Typhoon Nesat headed toward Taiwan 28 July 2017 Typhoon Warning Center said that Typhoon Nesat's maximum sustained winds were near 65 knots (75 mph/120 kph). At that time the center was located near 20.6 degrees north latitude and 125.3 degrees east longitude. That's about 342 nautical miles southeast of Taipei, Taiwai. Nesat was moving toward the northwest near 8 knots (9.7 mph/14.8 kph). Nesat will move northwest while intensifying. The system will peak at 75 knots (85 mph/139 kph) before approaching Taiwan on July 29 and making final landfall in China on July 30. Provided by NASA's Goddard Space Flight Center On July 27 NASA's Aqua satellite captured a visible image of Typhoon Nesat northeast of the Philippines in the Northwestern Pacific Ocean. Credit: NASA Goddard MODIS Rapid Response Team NASA's Aqua satellite passed over Typhoon Nesat as the storm continued moving north toward Taiwan. On July 27 at 1:30 p.m. local time the Moderate Resolution Imaging Spectroradiometer or MODIS instrument aboard NASA's Aqua satellite captured a visible image of the storm that showed powerful thunderstorms surrounding the center of circulation and a large thick band of storms wrapping into the center from the south and east. Although a ragged eye could not be seen in the MODIS imagery, it was visible using other satellite data. Nesat is moving through the Northwestern Pacific Ocean and is expected to make landfall and cross central Taiwan on July 29. On July 28 at 5 a.m.
    [Show full text]
  • 二零一七熱帶氣旋tropical Cyclones in 2017
    => TALIM TRACKS OF TROPICAL CYCLONES IN 2017 <SEP (), ! " Daily Positions at 00 UTC(08 HKT), :; SANVU the number in the symbol represents <SEP the date of the month *+ Intermediate 6-hourly Positions ,')% Super Typhoon NORU ')% *+ Severe Typhoon JUL ]^ BANYAN LAN AUG )% Typhoon OCT '(%& Severe Tropical Storm NALGAE AUG %& Tropical Storm NANMADOL JUL #$ Tropical Depression Z SAOLA( 1722) OCT KULAP JUL HAITANG JUL NORU( 1705) JUL NESAT JUL MERBOK Hong Kong / JUN PAKHAR @Q NALGAE(1711) ,- AUG ? GUCHOL AUG KULAP( 1706) HATO ROKE MAWAR <SEP JUL AUG JUL <SEP T.D. <SEP @Q GUCHOL( 1717) <SEP T.D. ,- MUIFA TALAS \ OCT ? HATO( 1713) APR JUL HAITANG( 1710) :; KHANUN MAWAR( 1716) AUG a JUL ROKE( 1707) SANVU( 1715) XZ[ OCT HAIKUI AUG JUL NANMADOL AUG NOV (1703) DOKSURI JUL <SEP T.D. *+ <SEP BANYAN( 1712) TALAS(1704) \ SONCA( 1708) JUL KHANUN( 1720) AUG SONCA JUL MERBOK (1702) => OCT JUL JUN TALIM( 1718) / <SEP T.D. PAKHAR( 1714) OCT XZ[ AUG NESAT( 1709) T.D. DOKSURI( 1719) a JUL APR <SEP _` HAIKUI( 1724) DAMREY NOV NOV de bc KAI-( TAK 1726) MUIFA (1701) KIROGI DEC APR NOV _` DAMREY( 1723) OCT T.D. APR bc T.D. KIROGI( 1725) T.D. T.D. JAN , ]^ NOV Z , NOV JAN TEMBIN( 1727) LAN( 1721) TEMBIN SAOLA( 1722) DEC OCT DEC OCT T.D. OCT de KAI- TAK DEC 更新記錄 Update Record 更新日期: 二零二零年一月 Revision Date: January 2020 頁 3 目錄 更新 頁 189 表 4.10: 二零一七年熱帶氣旋在香港所造成的損失 更新 頁 217 附件一: 超強颱風天鴿(1713)引致香港直接經濟損失的 新增 估算 Page 4 CONTENTS Update Page 189 TABLE 4.10: DAMAGE CAUSED BY TROPICAL CYCLONES IN Update HONG KONG IN 2017 Page 219 Annex 1: Estimated Direct Economic Losses in Hong Kong Add caused by Super Typhoon Hato (1713) 二零一 七 年 熱帶氣旋 TROPICAL CYCLONES IN 2017 2 二零一九年二月出版 Published February 2019 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.
    [Show full text]