SITUATION UPDATE No. 12 - Final
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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. -
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. -
OCHA PHL TY Sarika Haima 17Oct2016
Philippines: Typhoons Sarika (Karen) and Haima (Lawin) (17 October 2016) Typhoon Sarika Japan Typhoon Haima Typhoon category Typhoon Sarika (Karen) made landfall in (Saffir-Simpson Scale) Typhoon Haima (Lawin) has intensified 22 October 2016 Baler, Aurora province, at 2:30 a.m. on Category 1: 119-153 km/hr from a severe tropical storm. It was last 16 October. It slightly weakend while spotted 1,265 km east of the Visayas with China Category 3: 178-208 km/hr crossing Central Luzon but slightly maximum sustained winds of up to 150 intensified as it moves away from the Category 4: 209-251 km/hr km/h and gusts of up to 185 km/h. It is Philippines. As of 6am 17 October 2016, Taiwan moving west northwest at 22 km/h and is Typhoon Sarika is out of the Philippines Category 5: > 252 km/hr expected to enter PAR by the afternoon Area of Responsibility (PAR) and all PAGASA category of 17 October. The typhoon is projected Tropical Cyclone Warning Signals Hong Kong Typhoon Karen (SARIKA) to intensify into a category 5 as it moves Macao (TCWS) have been lifted. Tropical depression closer to northern Philippines. 21 October 2016 Lawin (HAIMA) Tropical storm EFFECTS Forecasted to make landfall Severe tropical storm PROFILE Regions I, II, III, IV-A, V and CAR in Northern Cagayan Typhoon within the 100 km radius of typhoon track affected areas 20 October 2016 P.A.R. 4 47 Actual typhoon track provinces cities/municipalities 75,000 Typhoon Haima people affected Forecasted track 17 October 2016 1.9 Million 406,000 19 October 2016 people households 70,800 LUZON people displaced 18 October 2016 Lawin (HAIMA) Forecasted to enter P.A.R. -
Typhoon Haima Haima
EmergencyEmergency Plan Appeal Final Final Report Report PhilippinesPhilippines:: Typhoon Typhoon Haima Haima Emergency Appeal n° MDRPH022 Glide n° TC-2016-000110-PHL Date of Issue: 31 October 2017 Date of disaster: 19 October 2016 Operation start date: 19 October 2016 Operation end date: 31 July 2017 Host National Society: Philippine Red Cross Operation budget: CHF 1,662,701 Number of people affected: 2.4 million Number of people assisted: 31,100 N° of National Societies involved in the operation: The American Red Cross, British Red Cross, Canadian Red Cross Society, Finnish Red Cross, Japanese Red Cross Society, Norwegian Red Cross, Red Cross of Monaco, Swedish Red Cross and The Netherlands Red Cross have contributed towards the Emergency Appeal launched on behalf of Philippine Red Cross. The Swiss Red Cross supported PRC on a bilateral basis. N° of other partner organizations involved in the operation: Philippine Red Cross participated in the National Disaster Risk Reduction and Management Council (NDRRMC) meetings and coordinates with the Department of Social Welfare and Development (DSWD), and Department of Health, and the NDRRMC at provincial, municipal and barangay levels. Other agencies present were: Action Against Hunger and Relief International, through the support of UNICEF and Care Philippines. Appeal history: 17 October 2016 - Haima develops in the Pacific as a Severe Tropical Storm. 18 October - Government enforces pre-emptive evacuations in areas likely to be severely affected by the typhoon. 19 October - Tropical Cyclone Warning Signal (TCWS) number 5 – the highest – is declared over Cagayan province. - Haima makes landfall 23H00 (local time) over Peñablanca, Cagayan (around 500 km northeast of Manila) with winds of 225 kph and gustiness of 315 kph Haima brings strong winds and heavy rains; wind damage and flooding in the affected areas. -
Typhoon Haima in the Lao People's Democratic Republic
TYPHOON HAIMA IN THE LAO PEOPLE’S DEMOCRATIC REPUBLIC Joint Damage, Losses and Needs Assessment – August, 2011 A Report prepared by the Government of the Lao PDR with support from the ADB , ADPC, FAO , GFDRR, Save the Children, UNDP, UNFPA, UNICEF, UN-HABITAT, WFP, WHO, World Bank, World Vision, and WSP Lao People's Democratic Republic Peace Independence Democracy Unity Prosperity TYPHOON HAIMA JOINT DAMAGE, LOSSES AND NEEDS ASSESSMENT (JDLNA) *** October 2011 A Report prepared by the Government of the Lao PDR With support from the ADB, ADPC, FAO, GFDRR , Save the Children, UNDP, UNFPA, UNICEF, UN- HABITAT, WFP ,WHO, World Bank, World Vision, AND WSP Vientiane, August 29, 2011 Page i Foreword On June 24-25, 2011, Typhoon Haima hit the Northern and Central parts of the Lao PDR causing heavy rain, widespread flooding and serious erosion in the provinces of Xiengkhouang, Xayaboury, Vientiane and Bolikhamxay. The typhoon caused severe damage and losses to the basic infrastructure, especially to productive areas, the irrigation system, roads and bridges, hospitals, and schools. Further, the typhoon disrupted the local people’s livelihoods, assets and properties. The poor and vulnerable groups of people are most affected by the typhoon. Without immediate recovery efforts, its consequences will gravely compromise the development efforts undertaken so far by the government, seriously set back economic dynamism, and further jeopardise the already very precarious situation in some of the provinces that were hard hit by the typhoon. A Joint Damage, Losses and Needs Assessment (JDLNA) was undertaken, with field visit to the four most affected provinces from 25th July to 5th August 2011. -
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. -
Msc Thesis Sandra Van Lint
MSc Thesis Sandra van Lint MSC THESIS SENSE-MAKING OF THE NETHERLANDS RED CROSS PRIORITY INDEX MODEL CASE: TYPHOON HAIYAN, PHILIPPINES MSc International Development Studies | Disaster and Conflict Studies | WUR Sandra van Lint Chair group: Disaster and conflict studies | WUR Dr. Ir. Annelies Heijmans Project manager coalition of humanitarian innovation | The Netherlands Red Cross Maarten van der Veen 30th of November 2016 1 MSc Thesis Sandra van Lint 2 MSc Thesis Sandra van Lint Wageningen University - Department of Social Sciences Disaster and Conflict Studies MSc Thesis Sense-making of the Netherlands Red Cross Priority Index Model Case: Typhoon Haiyan, Philippines November 2016 Student S.L. van Lint, BSc Registration number 920707-522-020 MSc program Master International Development Studies Specialisation Sociology – Disaster and Conflict Studies Commissioner The Netherlands Red Cross Supervisor Dr. Ir. A. Heijmans Examiner/2nd supervisor Dr. G. van der Haar Netherlands Red Cross supervisor M. van der Veen Thesis code SDC-80733 3 MSc Thesis Sandra van Lint Abstract In the aftermath of a typhoon, decision-makers struggle to find appropriate, reliable and timely information to decide upon the prioritisation of municipalities for assistance. The Netherlands Red Cross designed a model that aims to identify the high priority areas for humanitarian assistance on the basis of secondary data. This research identifies how decision-makers from humanitarian agencies and the Philippine Government ‘make sense’ of this model and its predictions in order to prioritise municipalities for humanitarian assistance. This research explores what the Priority Index Model is, what similar initiatives are, who the decision-makers are that have to prioritise and what their information needs are. -
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 .....................................................................................................................................................................