Assessment of the Impact of the Recent Typhoon Activity in Asia
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Bishop Jane Alexander and the Rev. Patrick Stephens
Learning through Lent A PWRDF resource by Bishop Jane Alexander and the Rev. Patrick Stephens 2021 Table of Contents Introduction, Lent 2019 .......................................................................................................3 Easter Garden Activity Plan ................................................................................................4 Creation is our story Ash Wednesday to Saturday: February 17–Fevbruary 20 ..........................................6 Creation: A relationship of respect e First Week of Lent: February 22_February 27 ....................................................14 Who we are and how we are called e Second Week of Lent: March 1–March 6 ............................................................26 Water and re: life in the balance e ird Week of Lent: March 8–March 13 .............................................................42 One world, one faith, many nations e Fourth Week of Lent: March 15–March 20 .........................................................54 Incarnation and redemption: a natural connection e Fih Week of Lent: March 22–March 27 ............................................................66 A personal commitment to creation discipleship Holy Week to Easter: March 29–April 4 .....................................................................78 How to read this resource ON PAPER ON A SCREEN IN AN EMAIL Download and print the PWRDF story links are Subscribe at PDF. Links to PWRDF also embedded within the pwrdf.org/Lent2021 to stories are included for text of the reection and receive an email every your reference. will take you directly to morning, Story links are our website. embedded in the text. Introduction Welcome to PWRDF’s 2021 Lent resource, “Creation care: climate action,” prepared as part of our three-year education focus of the same name. While COVID-19 has swept climate change concerns from the headlines over the past year, PWRDF partners around the world and here in Canada, continue to address the impacts of a changing climate on the communities they serve. -
Study on Hydrodynamic Characteristics and Environmental Response in Shantou Offshore Area
Journal of Marine Science and Engineering Article Study on Hydrodynamic Characteristics and Environmental Response in Shantou Offshore Area Yuezhao Tang 1,2 , Yang Wang 1,*, Enjin Zhao 2,* , Jiaji Yi 1, Kecong Feng 1, Hongbin Wang 1 and Wanhu Wang 1 1 Haikou Marine Geological Survey Center, China Geological Survey, Haikou 570100, China; [email protected] (Y.T.); [email protected] (J.Y.); [email protected] (K.F.); [email protected] (H.W.); [email protected] (W.W.) 2 Marine Geological Resources Laboratory, China University of Geosciences, Wuhan 430074, China * Correspondence: [email protected] (Y.W.); [email protected] (E.Z.) Abstract: As a coastal trading city in China, Shantou has complex terrain and changeable sea conditions in its coastal waters. In order to better protect the coastal engineering and social property along the coast, based on the numerical simulation method, this paper constructed a detailed hydrodynamic model of the Shantou sea area, and the measured tide elevation and tidal current were used to verify the accuracy of the model. Based on the simulation results, the tide elevation and current in the study area were analyzed, including the flood and ebb tides of astronomical spring tide, the flood and ebb tides of astronomical neap tide, the high tide, and the low tide. In order to find the main tidal constituent types in this sea, the influence of different tidal constituents on tide elevation and tidal current in the study area was analyzed. At the same time, the storm surge model of the study area was constructed, and the flow field under Typhoon “Mangkhut” in the study area was simulated by using the real recorded data. -
Efforts for Emergency Observation Mapping in Manila Observatory
Efforts for Emergency Observation Mapping in Manila Observatory: Development of a Typhoon Impact Estimation System (TIES) focusing on Economic Flood Loss of Urban Poor Communities in Metro Manila UN-SPIDER International Conference on Space-based Technologies for Disaster Risk Reduction – “Enhancing Disaster Preparedness for Effective Emergency Response” Session 4: Demonstrating Advances in Earth Observation to Build Back Better September 25, 2018 Ma. Flordeliza P. Del Castillo Manila Observatory EMERGENCY OBSERVATION MAPPING IN MANILA OBSERVATORY • Typhoon Reports • Sentinel Asia Data Analysis Node (2011-present) • Flood loss estimation for urban poor households in Metro Manila (2016-present) 1. Regional Climate Systems (RCS) – Hazard analysis (Rainfall and typhoon forecast) 2. Instrumentation and Efforts before typhoon arrives Technology Development – Automated Weather Stations 3. Geomatics for Environment and Development – Mapping and integration of Hazard, Exposure and Vulnerability layers Observing from space and also from the ground. Efforts during typhoon event Now, incorporating exposure and vulnerability variables Efforts after a typhoon event Data Analysis Node (Post- Disaster Event) Image Source: Secretariat of Sentinel Asia Japan Aerospace Exploration Agency, Sentinel Asia Annual Report 2016 MO Emergency Observation (EO) and Mapping Protocol (15 October 2018) Step 1: Step 2: Step 3: Establish the Apply for EMERGENCY Elevate status to LOCATION/COVERAGE of OBSERVATION to International Disaster EOR Sentinel Asia (SA) Charter (IDC) by ADRC Step 6: Step 5: Step 4: Upload maps in MO, SA MAP Download images & IDC websites PRODUCTION Emergency Observation Mapping Work • December 2011 – T.S. Washi “Sendong” • August 2012 – Southwest Monsoon Flood “Habagat” • ” Emergency Observation Mapping Work • December 2011 – T.S. Washi “Sendong” • August 2012 – Southwest Monsoon Flood “Habagat” • December 2012 – Bopha “Pablo” • August 2013 – Southwest Monsoon Flood and T.S. -
9065C70cfd3177958525777b
The FY 1989 Annual Report of the Agency for international DevelaprnentiOHiee of U.S. Foreign Disaster Assistance was researched. written, and produced by Cynthia Davis, Franca Brilliant, Mario Carnilien, Faye Henderson, Waveriy Jackson, Dennis J. King, Wesley Mossburg, Joseph OYConnor.Kimberly S.C. Vasconez. and Beverly Youmans of tabai Anderson Incorparated. Arlingtot?. Virginia, under contract ntrmber QDC-0800-C-00-8753-00, Office 0%US Agency ior Foreign Disaster Enternatiorr~ai Assistance Development Message from the Director ............................................................................................................................. 6 Summary of U.S. Foreign Disaster Assistance .............................................................................................. 8 Retrospective Look at OFDA's 25 Years of Operations ................................................................................. 10 OFDA Emergency Response ......................................................................................................................... 15 Prior-Year (FY 1987 and 1988) and Non-Declared Disasters FV 1989 DISASTERS LUROPE Ethiopia Epidemic ................................. ............. 83 Soviet Union Accident ......................................... 20 Gabon Floods .................................... ... .................84 Soviet Union Earthquake .......................................24 Ghana Floods ....................................................... 85 Guinea Bissau Fire ............................................. -
7 the Analysis of Storm Surge in Manila Bay, the Philippines
INTERNATIONAL HYDROGRAPHIC REVIEW MAY 2019 THE ANALYSIS OF STORM SURGE IN MANILA BAY, THE PHILIPPINES By Commander C. S. Luma-ang Hydrography Branch, National Mapping and Resource Information Authority, (Philippines) Abstract In 2013, Typhoon Haiyan produced a storm surge over seven metres in San Pedro Bay in the Philippines that killed approximately 6,300 people. The event created significant public awareness on storm surges and exposed the lack of records and historical research in the Philippines. This study investigated the tidal height records during intense cyclone activities in 2016 and 2017 to provide accurate information about storm surge development in the largest and most populated coastal area in the country – Manila Bay. The results of this investigation indicated that there are consistencies in the characteristics of tropical cyclones that produce larger storm surges. The results also show that actual storm surge heights are generally smaller than predicted height values. Résumé En 2013, le typhon Haiyan a provoqué une onde de tempête de plus de sept mètres dans la Baie de San Pedro aux Philippines, faisant près de 6 300 victimes. Cet événement a provoqué une importante sensibilisation du public envers les ondes de tempête et a mis en évidence le manque d’archives et de recherches historiques aux Philippines. La présente étude a examiné les enregistrements des hauteurs des marées au cours d’activités cycloniques intenses en 2016 et 2017 afin de fournir des informations précises sur le développement d’ondes de tempête dans la zone côtière la plus étendue et la plus peuplée du pays, la Baie de Manille. -
Humanitarian Civil-Military Coordination for Asia and the Pacific
REGIONAL CONSULTATIVE GROUP HUMANITARIAN CIVIL-MILITARY COORDINATION FOR ASIA AND THE PACIFIC HUMANITARIAN CIVIL-MILITARY COORDINATION IN EMERGENCIES: TOWARDS A PREDICTABLE MODEL FOREWORD The Regional Consultative Group (RCG) on Humanitarian This revised publication was produced through Civil-Military Coordination (CMCoord) for Asia and collaboration between the ASEAN Coordinating Centre for the Pacific is a key forum for supporting and elevating Humanitarian Assistance on disaster response, the United coordination, building relationships, and sharing learning Nations Office for the Coordination of Humanitarian Affairs to enhance and strengthen emergency response. When – Regional Office for Asia and the Pacific, the Australian the RCG was formed in 2014, it was tasked with improving Civil-Military Centre and Humanitarian Advisory Group. awareness and enhancing the predictability of CMCoord Expert practitioners and researchers contributed their mechanisms, and their respective functions, during large- time to ensure the information is accurate and accessible. scale disaster response. As a result, the RCG initiated Like the initial version, the publication will be regularly the development of the first version of Humanitarian updated to reflect operational environments accurately. Civil-Military Coordination in Emergencies: Towards a Predictable Model, which focused on explaining the As the current Chair of the RCG, we recognize that effective legislation, coordination mechanisms, approach to and humanitarian CMCoord enables timely, efficient and leadership of disaster management in the five most effective response, and we appreciate every investment disaster-prone countries in Asia: Bangladesh, Nepal, and effort of the relevant individuals, governments and Indonesia, Myanmar and the Philippines. The publication organizations in the revision of this publication. We trust was launched in 2017, and soon became a key reference for that it will receive due attention and support future the CMCoord community. -
Hong Kong Observatory, 134A Nathan Road, Kowloon, Hong Kong
78 BAVI AUG : ,- HAISHEN JANGMI SEP AUG 6 KUJIRA MAYSAK SEP SEP HAGUPIT AUG DOLPHIN SEP /1 CHAN-HOM OCT TD.. MEKKHALA AUG TD.. AUG AUG ATSANI Hong Kong HIGOS NOV AUG DOLPHIN() 2012 SEP : 78 HAISHEN() 2010 NURI ,- /1 BAVI() 2008 SEP JUN JANGMI CHAN-HOM() 2014 NANGKA HIGOS(2007) VONGFONG AUG ()2005 OCT OCT AUG MAY HAGUPIT() 2004 + AUG SINLAKU AUG AUG TD.. JUL MEKKHALA VAMCO ()2006 6 NOV MAYSAK() 2009 AUG * + NANGKA() 2016 AUG TD.. KUJIRA() 2013 SAUDEL SINLAKU() 2003 OCT JUL 45 SEP NOUL OCT JUL GONI() 2019 SEP NURI(2002) ;< OCT JUN MOLAVE * OCT LINFA SAUDEL(2017) OCT 45 LINFA() 2015 OCT GONI OCT ;< NOV MOLAVE(2018) ETAU OCT NOV NOUL(2011) ETAU() 2021 SEP NOV VAMCO() 2022 ATSANI() 2020 NOV OCT KROVANH(2023) DEC KROVANH DEC VONGFONG(2001) MAY 二零二零年 熱帶氣旋 TROPICAL CYCLONES IN 2020 2 二零二一年七月出版 Published July 2021 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. 知識產權公告 Intellectual Property Rights Notice All contents contained in this publication, 本刊物的所有內容,包括但不限於所有 including but not limited to all data, maps, 資料、地圖、文本、圖像、圖畫、圖片、 text, graphics, drawings, diagrams, 照片、影像,以及數據或其他資料的匯編 photographs, videos and compilation of data or other materials (the “Materials”) are (下稱「資料」),均受知識產權保護。資 subject to the intellectual property rights 料的知識產權由香港特別行政區政府 which are either owned by the Government of (下稱「政府」)擁有,或經資料的知識產 the Hong Kong Special Administrative Region (the “Government”) or have been licensed to 權擁有人授予政府,為本刊物預期的所 the Government by the intellectual property 有目的而處理該等資料。任何人如欲使 rights’ owner(s) of the Materials to deal with 用資料用作非商業用途,均須遵守《香港 such Materials for all the purposes contemplated in this publication. -
Towards Predicting Rice Loss Due to Typhoons in the Philippines S
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-4/W19, 2019 PhilGEOS x GeoAdvances 2019, 14–15 November 2019, Manila, Philippines TOWARDS PREDICTING RICE LOSS DUE TO TYPHOONS IN THE PHILIPPINES S. Boeke1,4, M.J.C. van den Homberg1, A. Teklesadik, 1 J. L. D. Fabila 2, D. Riquet 3, M. Alimardani 4 1 510, an initiative of the Netherlands Red Cross 2 Philippine Red Cross 3 German Red Cross 4 Tilburg University Commission IV KEY WORDS: Typhoons, Philippines, Machine Learning, impact-based forecasting, rice loss ABSTRACT: Reliable predictions of the impact of natural hazards turning into a disaster is important for better targeting humanitarian response as well as for triggering early action. Open data and machine learning can be used to predict loss and damage to the houses and livelihoods of affected people. This research focuses on agricultural loss, more specifically rice loss in the Philippines due to typhoons. Regression and binary classification algorithms are trained using feature selection methods to find the most important explanatory features. Both geographical data from every province, and typhoon specific features of 11 historical typhoons are used as input. The percentage of lost rice area is considered as the output, with an average value of 7.1%. As for the regression task, the support vector regressor performed best with a Mean Absolute Error of 6.83 percentage points. For the classification model, thresholds of 20%, 30% and 40% are tested in order to find the best performing model. These thresholds represent different levels of lost rice fields for triggering anticipatory action towards farmers. -
APPEAL Philippines Typhoon Goni and Vamco PHL202
ACT Alliance APPEAL PHL202 Appeal Target: US$ 1,912,033 Balance requested: US$ 1,912,033 Humanitarian Response to Typhoons Goni and Vamco Affected Communities Appeal target : USD1,766,003 Balance requested : USD1,154,820 Table of contents 0. Project Summary Sheet 1. BACKGROUND 1.1. Context 1.2. Needs 1.3. Capacity to Respond 1.4. Core Faith Values 2. PROJECT RATIONALE 2.1. Intervention Strategy and Theory of Change 2.2. Impact 2.3. Outcomes 2.4. Outputs 2.5. Preconditions / Assumptions 2.6. Risk Analysis 2.7. Sustainability / Exit Strategy 2.8. Building Capacity of National Members 3. PROJECT IMPLEMENTATION 3.1. ACT Code of Conduct 3.2. Implementation Approach 3.3. Project Stakeholders 3.4. Field Coordination 3.5. Project Management 3.6. Implementing Partners 3.7. Project Advocacy 3.8. Engaging Faith Leaders 4. PROJECT MONITORING 4.1. Project Monitoring 4.2. Safety and Security Plans 4.3. Knowledge Management 5. PROJECT ACCOUNTABILITY 5.1. Mainstreaming Cross-Cutting Issues 5.1.1. Participation Marker 5.1.2. Anti-terrorism / Corruption 5.2. Conflict Sensitivity / Do No Harm 5.3. Complaint Mechanism and Feedback 5.4. Communication and Visibility 6. PROJECT FINANCE 6.1. Consolidated budget 7. ANNEXES 7.1. ANNEX 1 – Simplified Workplan 7.2. ANNEX 2 – Summary of Needs Assessment (open template) 7.3. ANNEX 3 – Logical Framework (compulsory template) Mandatory 7.4. ANNEX 4 – Summary table (compulsory template) Mandatory PHL 202 – Humanitarian Response to Communities Affected by Typhoons Goni and Vamco Project Summary Sheet Project Title Humanitarian -
COVID-19 FHA Decision Support Tool UPDATED 20 MAY 2020
UNCLASSIFIED CENTER FOR EXCELLENCE IN DISASTER MANAGEMENT & HUMANITARIAN ASSISTANCE WWW.CFE-DMHA.ORG COVID-19 FHA Decision Support Tool UPDATED 20 MAY 2020 UNCLASSIFIED UNCLASSIFIED List of Countries and U.S. Territories in USINDOPACOM AOR Notes: For quick access to each section place cursor over section and press Ctrl + Click Updated text in last 24 hours highlighted in yellow Table of Contents AMERICAN SAMOA .................................................................................................................................................... 3 AUSTRALIA ................................................................................................................................................................. 5 BANGLADESH ............................................................................................................................................................. 7 BHUTAN ................................................................................................................................................................... 12 BRUNEI ..................................................................................................................................................................... 15 CAMBODIA ............................................................................................................................................................... 17 CHINA ..................................................................................................................................................................... -
FDA) Super Typhoon Mangkhut (Philippines: Ompong
Center for Disaster Management and Risk Reduction Technology CEDIM Forensic Disaster Analysis Group (FDA) Super Typhoon Mangkhut (Philippines: Ompong) Information as of 26 September 2018 – Report No. 1 Authors: Bernhard Mühr, James Daniell, Johanna Stötzer, Christian Latt, Maren Glattfelder, Fabian Siegmann, Susanna Mohr, Michael Kunz SUMMARY Landfall Official Disaster Name Date Local Duration UTC Super Typhoon 26W Mangkhut (Ompong) – PH 14-09 18 UTC +8 Typhoon 26W Mangkhut – CN 16-09 09 UTC +8 Tropical Depression, Tropical Storm, 07-09 – 17-09 10 days Typhoon Cat 1 – Cat 5, Tropical Depression PREFERRED HAZARD INFORMATION: Min Sea Move Definition (Saffir- Wind Wind Location Level Time ment Simpson Scale) Gusts Sustained Pressure 100 km N of Rongelap 07-09 20 kt NW Tropical Dperession 1006 hPa Atoll, Marshall Is. 00 UTC 37 kph 07-09 35 kt 120 km N of Bikini Atoll W Tropical Storm 998 hPa 18 UTC 65 kph 09-09 65 kt 1100 km E of Guam W Category 1 975 hPa 00 UTC 120 kph 10-09 90 kt 30 km NE of Rota Island WSW Category 2 955 hPa 06 UTC 165 kph 10-09 100 kt 90 km W of Guam WSW Category 3 950 hPa 12 UTC 185 kph 11-09 120 kt 2050 km E of Luzon N Category 4 935 hPa 00 UTC 222 kph Super Typhoon 11-09 140 kt 1780 km E of Luzon WNW 905 hPa Category 5 12 UTC 260 kph LOCATION INFORMATION: Most Economic Pop. Country ISO Provinces/Regions HDI (2014) Urbanity Impact Exposure affected Guam / Northern USA US Rota Island Marianas Cagayan, Ilocos Philippines PH Norte Hongkong, Guangdong, China CN Macao, Guangxi Jiangmen CEDIM – Typhoon Mangkhut – Report No.1 2 1 Overview In mid-September, the world's strongest tropical system of 2018 so far, hit the northern main island of the Philippines, Luzon, and southern China. -
Humanitarian Bulletin Typhoon Yutu Follows in the Destructive Path Of
Humanitarian Bulletin Philippines Issue 10 | November 2018 HIGHLIGHTS In this issue • Typhoon Yutu causes Typhoon Yutu follows Typhoon Mangkhut p.1 flooding and landslides in the northern Philippines, Marawi humanitarian response update p.2 affecting an agricultural ASG Ursula Mueller visit to the Philippines p.3 region still trying to recover Credit: FAO/G. Mortel from the devastating impact of Typhoon Mangkhut six weeks earlier. Typhoon Yutu follows in the destructive path of • As the Government looks to rebuilding Marawi City, there Typhoon Mankhut is a need to provide for the residual humanitarian needs Just a month after Typhoon Mangkhut, the strongest typhoon in the Philippines since of the displaced: food, shelter, Typhoon Haiyan, Typhoon Yutu (locally known as Rosita) entered the Philippine Area of health, water & sanitation, Responsibility (PAR) on 27 October. The typhoon made landfall as a Category-1 storm education and access to on 30 October in Dinapigue, Isabela and traversed northern Luzon in a similar path to social services. Typhoon Mankghut. By the afternoon, the typhoon exited the western seaboard province • In Brief: Assistant Secretary- of La Union in the Ilocos region and left the PAR on 31 October. General for humanitarian Affected communities starting to recover from Typhoon Mangkhut were again evacuated affairs Ursula Mueller visits and disrupted, with Typhoon Yutu causing damage to agricultural crops, houses and the Philippines from 9-11 October, meeting with IDPs schools due to flooding and landslides. In Kalinga province, two elementary schools affected by the Marawi were washed out on 30 October as nearby residents tried to retrieve school equipment conflict and humanitarian and classroom chairs.