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List of Dams and Reservoirs 1 List of Dams and Reservoirs
List of dams and reservoirs 1 List of dams and reservoirs The following is a list of reservoirs and dams, arranged by continent and country. Africa Cameroon • Edea Dam • Lagdo Dam • Song Loulou Dam Democratic Republic of Congo • Inga Dam Ethiopia Gaborone Dam in Botswana. • Gilgel Gibe I Dam • Gilgel Gibe III Dam • Kessem Dam • Tendaho Irrigation Dam • Tekeze Hydroelectric Dam Egypt • Aswan Dam and Lake Nasser • Aswan Low Dam Inga Dam in DR Congo. Ghana • Akosombo Dam - Lake Volta • Kpong Dam Kenya • Gitaru Reservoir • Kiambere Reservoir • Kindaruma Reservoir Aswan Dam in Egypt. • Masinga Reservoir • Nairobi Dam Lesotho • Katse Dam • Mohale Dam List of dams and reservoirs 2 Mauritius • Eau Bleue Reservoir • La Ferme Reservoir • La Nicolière Reservoir • Mare aux Vacoas • Mare Longue Reservoir • Midlands Dam • Piton du Milieu Reservoir Akosombo Dam in Ghana. • Tamarind Falls Reservoir • Valetta Reservoir Morocco • Aït Ouarda Dam • Allal al Fassi Dam • Al Massira Dam • Al Wahda Dam • Bin el Ouidane Dam • Daourat Dam • Hassan I Dam Katse Dam in Lesotho. • Hassan II Dam • Idriss I Dam • Imfout Dam • Mohamed V Dam • Tanafnit El Borj Dam • Youssef Ibn Tachfin Dam Mozambique • Cahora Bassa Dam • Massingir Dam Bin el Ouidane Dam in Morocco. Nigeria • Asejire Dam, Oyo State • Bakolori Dam, Sokoto State • Challawa Gorge Dam, Kano State • Cham Dam, Gombe State • Dadin Kowa Dam, Gombe State • Goronyo Dam, Sokoto State • Gusau Dam, Zamfara State • Ikere Gorge Dam, Oyo State Gariep Dam in South Africa. • Jibiya Dam, Katsina State • Jebba Dam, Kwara State • Kafin Zaki Dam, Bauchi State • Kainji Dam, Niger State • Kiri Dam, Adamawa State List of dams and reservoirs 3 • Obudu Dam, Cross River State • Oyan Dam, Ogun State • Shiroro Dam, Niger State • Swashi Dam, Niger State • Tiga Dam, Kano State • Zobe Dam, Katsina State Tanzania • Kidatu Kihansi Dam in Tanzania. -
Temporal and Spatial Characteristics of Typhoon Induced Precipitation Over Northern Japan 〇Sridhara NAYAK , Tetsuya TAKEMI
A06 Temporal and Spatial Characteristics of Typhoon Induced Precipitation over Northern Japan 〇Sridhara NAYAK , Tetsuya TAKEMI Introduction: various duration bins. Finally, we calculated the Typhoons are considered as one of the dangerous frequency in each bin. In the similar way, we weather phenomena in the earth that caused investigated the size of the precipitations. widespread flooding to the landfall regions. Over the year, plenty of typhoons have made landfall over Preliminary Results: Japan and some of them have devastated large areas Figure 1 shows the probability of the duration of and impacted millions of people by extreme extreme precipitations for the Typhoon Chanthu. It precipitations (Takemi et al. 2016; Takemi, 2019). In shows the duration of the precipitations exceeding August 2016, three typhoons [Typhoon Chanthu various percentiles of precipitation in the range (T1607), Mindulle (T1609), and Kompasu (T1611)] between 50% and 99.99%. Results indicate that the made landfall over Hokkaido region and one typhoon occurrence of extremely heavy precipitations (higher [Lionrock (T1610)] made landfall over Tohoku region. than 99th percentile) are short-lived and last up to 6 All these typhoons caused widespread damages over hours. The extreme precipitation with intensity below northern Japan with excessive precipitations. However, 90th percentile last at least 9 hours. We also find studies are limited to understand the temporal and long-lived precipitations which last 12 hours and more, spatial structure of precipitation, particularly the although they don’t occur so frequently. precipitation size and duration within individual typhoons. In this study, we analyzed the precipitations induced by these four typhoons to investigate their extreme precipitation spell duration and size. -
An Efficient Method for Simulating Typhoon Waves Based on A
Journal of Marine Science and Engineering Article An Efficient Method for Simulating Typhoon Waves Based on a Modified Holland Vortex Model Lvqing Wang 1,2,3, Zhaozi Zhang 1,*, Bingchen Liang 1,2,*, Dongyoung Lee 4 and Shaoyang Luo 3 1 Shandong Province Key Laboratory of Ocean Engineering, Ocean University of China, 238 Songling Road, Qingdao 266100, China; [email protected] 2 College of Engineering, Ocean University of China, 238 Songling Road, Qingdao 266100, China 3 NAVAL Research Academy, Beijing 100070, China; [email protected] 4 Korea Institute of Ocean, Science and Technology, Busan 600-011, Korea; [email protected] * Correspondence: [email protected] (Z.Z.); [email protected] (B.L.) Received: 20 January 2020; Accepted: 23 February 2020; Published: 6 March 2020 Abstract: A combination of the WAVEWATCH III (WW3) model and a modified Holland vortex model is developed and studied in the present work. The Holland 2010 model is modified with two improvements: the first is a new scaling parameter, bs, that is formulated with information about the maximum wind speed (vms) and the typhoon’s forward movement velocity (vt); the second is the introduction of an asymmetric typhoon structure. In order to convert the wind speed, as reconstructed by the modified Holland model, from 1-min averaged wind inputs into 10-min averaged wind inputs to force the WW3 model, a gust factor (gf) is fitted in accordance with practical test cases. Validation against wave buoy data proves that the combination of the two models through the gust factor is robust for the estimation of typhoon waves. -
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. -
Cordillera Energy Development: Car As A
LEGEND WATERSHED BOUNDARY N RIVERS CORDILLERACORDILLERA HYDRO ELECTRIC PLANT (EXISTING) HYDRO PROVINCE OF ELECTRIC PLANT ILOCOS NORTE (ON-GOING) ABULOG-APAYAO RIVER ENERGY MINI/SMALL-HYDRO PROVINCE OF ENERGY ELECTRIC PLANT APAYAO (PROPOSED) SALTAN B 24 M.W. PASIL B 20 M.W. PASIL C 22 M.W. DEVELOPMENT: PASIL D 17 M.W. DEVELOPMENT: CHICO RIVER TANUDAN D 27 M.W. PROVINCE OF ABRA CARCAR ASAS AA PROVINCE OF KALINGA TINGLAYAN B 21 M.W AMBURAYAN PROVINCE OF RIVER ISABELA MAJORMAJOR SIFFU-MALIG RIVER BAKUN AB 45 M.W MOUNTAIN PROVINCE NALATANG A BAKUN 29.8 M.W. 70 M.W. HYDROPOWERHYDROPOWER PROVINCE OF ILOCOS SUR AMBURAYAN C MAGAT RIVER 29.6 M.W. PROVINCE OF IFUGAO NAGUILIAN NALATANG B 45.4 M.W. RIVER PROVINCE OF (360 M.W.) LA UNION MAGAT PRODUCERPRODUCER AMBURAYAN A PROVINCE OF NUEVA VIZCAYA 33.8 M.W AGNO RIVER Dir. Juan B. Ngalob AMBUKLAO( 75 M.W.) PROVINCE OF BENGUET ARINGAY 10 50 10 20 30kms RIVER BINGA(100 M.W.) GRAPHICAL SCALE NEDA-CAR CORDILLERA ADMINISTRATIVE REGION SAN ROQUE(345 M.W.) POWER GENERATING BUED RIVER FACILITIES COMPOSED BY:NEDA-CAR/jvcjr REF: PCGS; NWRB; DENR DATE: 30 JANUARY 2002 FN: ENERGY PRESENTATIONPRESENTATION OUTLINEOUTLINE Î Concept of the Key Focus Area: A CAR RDP Component Î Regional Power Situation Î Development Challenges & Opportunities Î Development Prospects Î Regional Specific Concerns/ Issues Concept of the Key Focus Area: A CAR RDP Component Cordillera is envisioned to be a major hydropower producer in Northern Luzon. Car’s hydropower potential is estimated at 3,580 mw or 27% of the country’s potential. -
The Diurnal Cycle of Clouds in Tropical Cyclones Over the Western North Pacific Basin
SOLA, 2020, Vol. 16, 109−114, doi:10.2151/sola.2020-019 109 The Diurnal Cycle of Clouds in Tropical Cyclones over the Western North Pacific Basin Kohei Fukuda1, Kazuaki Yasunaga1, Ryo Oyama2, 3, Akiyoshi Wada3, Atsushi Hamada1, and Hironori Fudeyasu4 1Department of Earth Science, Graduate School of Science and Engineering, University of Toyama, Toyama, Japan 2Forecast Division, Forecast Department, Japan Meteorological Agency (JMA), Tokyo, Japan 3Meteorological Research Institute (MRI), Tsukuba, Japan 4Yokohama National University, Yokohama, Japan for this is not understood. In addition, previous studies by Kossin Abstract (2002) and Dunion et al. (2014) focused exclusively on Atlantic storms or eastern Pacific storms. Our knowledge of the TC diurnal This study examined the diurnal cycles of brightness tempera- cycle over the western North Pacific (WNP) basin is limited, ture (TB) and upper-level horizontal winds associated with tropi- even though the WNP is the area where TCs are most frequently cal cyclones (TCs) over the western North Pacific basin, making generated (e.g., Peduzzi et al. 2012). Furthermore, relationships use of data retrieved from geostationary-satellite (Himawari-8) between cirrus cloud and dynamic fields have not been adequately observations that exhibited unprecedented temporal and spatial documented on the basis of observational data, while changes in resolutions. The results of a spectral analysis revealed that diurnal maximum wind velocity in TCs statistically depend on the local cycles prevail in TB variations over the outer regions of TCs (300− time (e.g., Yaroshevich and Ingel 2013). From a technical point of 500 km from the storm center). The dominance of the diurnal view, previous studies analyzed observations at a relatively lower cycle was also found in variations in the radial wind (Vr) in inten- time interval of three hours, and it is likely that the results were sive TCs, although there was no dominant cycle in tangential wind contaminated by higher-order harmonics due to aliasing. -
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. -
Chapter 5. Focus and Perspectives
| 78 Chapter 5. Focus and perspectives Building on the CropWatch analyses presented in chapters 1 through 4, this chapter includes an updated production outlook for 2016 focused on wheat (section 5.1), as well as sections on recent disaster events (section 5.2), a focus on agriculture in the East and Southeast Asia (5.3) and an update on El Niño (5.4). 5.1 CropWatch production outlook The production outlook for the current bulletin includes only the major producers in the southern hemisphere, as assessments for the northern hemisphere would be too hypothetical at this early stage in the season. For Argentina, CropWatch puts its winter wheat production of 2016 at 11.245 million tons, an increase of 5.0% over the previous year resulting from increases in the major production area. This year, however, provinces that generally contribute relatively little to the global output outperformed the traditional “big” wheat producers from Córdoba to Buenos Aires. The same occurred in Australia where the wheat production increased more in minor producing areas (+45.1% over last year) than nationwide (+24.3%). The total output in Australia exceeds that of Argentina by a factor 3 and reaches 32.066 million tons. Finally, at 7.747 million tons, the output of Brazil stays behind that of its southern neighbor, increasing however 10.0% over the previous season. Contrary to the situation in Australia and Argentina, minor wheat producing areas in Brazil did poorly (-29%). Wheat production results for Argentina, Australia and Brazil are listed in Annex B. 5.2 Disaster events Introduction According to a recent World Bank study (Hallegatte et al, 2017), economic losses from natural disasters totaled US$92 billion in 2015, mostly in the building, infrastructure and agricultural production sectors. -
An Introduction to Humanitarian Assistance and Disaster Relief (HADR) and Search and Rescue (SAR) Organizations in Taiwan
CENTER FOR EXCELLENCE IN DISASTER MANAGEMENT & HUMANITARIAN ASSISTANCE An Introduction to Humanitarian Assistance and Disaster Relief (HADR) and Search and Rescue (SAR) Organizations in Taiwan WWW.CFE-DMHA.ORG Contents Introduction ...........................................................................................................................2 Humanitarian Assistance and Disaster Relief (HADR) Organizations ..................................3 Search and Rescue (SAR) Organizations ..........................................................................18 Appendix A: Taiwan Foreign Disaster Relief Assistance ....................................................29 Appendix B: DOD/USINDOPACOM Disaster Relief in Taiwan ...........................................31 Appendix C: Taiwan Central Government Disaster Management Structure .......................34 An Introduction to Humanitarian Assistance and Disaster Relief (HADR) and Search and Rescue (SAR) Organizations in Taiwan 1 Introduction This information paper serves as an introduction to the major Humanitarian Assistance and Disaster Relief (HADR) and Search and Rescue (SAR) organizations in Taiwan and international organizations working with Taiwanese government organizations or non-governmental organizations (NGOs) in HADR. The paper is divided into two parts: The first section focuses on major International Non-Governmental Organizations (INGOs), and local NGO partners, as well as international Civil Society Organizations (CSOs) working in HADR in Taiwan or having provided -
Status of Monitored Major Dams
Ambuklao Dam Magat Dam STATUS OF Bokod, Benguet Binga Dam MONITORED Ramon, Isabela Cagayan Pantabangan Dam River Basin MAJOR DAMS Itogon, Benguet San Roque Dam Pantabangan, Nueva Ecija Angat Dam CLIMATE FORUM 22 September 2021 San Manuel, Pangasinan Agno Ipo Dam River Basin San Lorenzo, Norzagaray Bulacan Presented by: Pampanga River Basin Caliraya Dam Sheila S. Schneider Hydro-Meteorology Division San Mateo, Norzagaray Bulacan Pasig Laguna River Basin Lamesa Dam Lumban, Laguna Greater Lagro, Q.C. JB FLOOD FORECASTING 215 205 195 185 175 165 155 2021 2020 2019 NHWL Low Water Level Rule Curve RWL 201.55 NHWL 210.00 24-HR Deviation 0.29 Rule Curve 185.11 +15.99 m RWL BASIN AVE. RR JULY = 615 MM BASIN AVE. RR = 524 MM AUG = 387 MM +7.86 m RWL Philippine Atmospheric, Geophysical and Astronomical Services Administration 85 80 75 70 65 RWL 78.30 NHWL 80.15 24-HR Deviation 0.01 Rule Curve Philippine Atmospheric, Geophysical and Astronomical Services Administration 280 260 240 220 RWL 265.94 NHWL 280.00 24-HR Deviation 0.31 Rule Curve 263.93 +35.00 m RWL BASIN AVE. RR JULY = 546 MM AUG = 500 MM BASIN AVE. RR = 253 MM +3.94 m RWL Philippine Atmospheric, Geophysical and Astronomical Services Administration 230 210 190 170 RWL 201.22 NHWL 218.50 24-HR Deviation 0.07 Rule Curve 215.04 Philippine Atmospheric, Geophysical and Astronomical Services Administration +15.00 m RWL BASIN AVE. RR JULY = 247 MM AUG = 270 MM BASIN AVE. RR = 175 MM +7.22 m RWL Philippine Atmospheric, Geophysical and Astronomical Services Administration 200 190 180 170 160 150 RWL 185.83 NHWL 190.00 24-HR Deviation -0.12 Rule Curve 184.95 Philippine Atmospheric, Geophysical and Astronomical Services Administration +16.00 m RWL BASIN AVE. -
NASA Sees Typhoon Sarika Approaching Second Landfall 18 October 2016
NASA sees Typhoon Sarika approaching second landfall 18 October 2016 On Oct. 17 at 2:10 (06:10 UTC) NASA-NOAA's Suomi NPP satellite passed over Sarika and provided a visible-light image of the storm. The Visible Infrared Imaging Radiometer Suite (VIIRS) instrument aboard NASA-NOAA's Suomi NPP satellite showed the cloud-filled center of circulation in the central northern South China Sea, southwest of Hainan Island, China. At 5 a.m. EDT (0900 UTC) Sarika had maximum sustained winds near 92 mph (80 knots/148 kph). It was centered near 18.0 degrees north latitude and 112.4 degrees east longitude, about 409 nautical miles east-southeast of Hanoi, Vietnam. It was moving to the west at 10 mph (8 knots/16 kph). The Joint Typhoon Warning Center forecasts Sarika to move toward Hainan Island, China where it is expected to make landfall. Sarika is later forecast to continue west and make a third landfall in northern Vietnam. Provided by NASA's Goddard Space Flight Center On Oct. 17 at 2:10 (06:10 UTC) NASA-NOAA's Suomi NPP satellite captured a visible image of Typhoon Sarika approaching China. Credit: NOAA/NASA's Rapid Response Team NASA-NOAA's Suomi NPP satellite provided a visible look at Typhoon Sarika as it was poised for its second of three expected landfalls. When the satellite passed over Sarika it was in the South China Sea. Strong wind signal #3 is in force at Hong Kong, China, according to the Central Weather Bureau. Sarika, formerly known as Tropical Depression 24W fills up the northern half of the South China Sea on satellite imagery. -
Typhoon Sarika
Emergency Plan of Action (EPoA) Philippines: Typhoon Sarika DREF Operation: MDRPH021 Glide n° TC-2016-000108-PHL Date of issue: 19 October 2016 Date of disaster: 16 October 2016 Operation manager: Point of contact: Patrick Elliott, operations manager Atty. Oscar Palabyab, secretary general IFRC Philippines country office Philippine Red Cross Operation start date: 16 October 2016 Expected timeframe: 3 months (to 31 January 2017) Overall operation budget: CHF 169,011 Number of people affected: 52,270 people (11,926 Number of people to be assisted: 8,000 people families) (1,600 families) Host National Society: Philippine Red Cross (PRC) is the nation’s largest humanitarian organization and works through 100 chapters covering all administrative districts and major cities in the country. It has at least 1,000 staff at national headquarters and chapter levels, and approximately one million volunteers and supporters, of whom some 500,000 are active volunteers. At chapter level, a programme called Red Cross 143, has volunteers in place to enhance the overall capacity of the National Society to prepare for and respond in disaster situations. Red Cross Red Crescent Movement partners actively involved in the operation: PRC is working with the International Federation of Red Cross and Red Crescent Societies (IFRC) in this operation. The National Society also works with the International Committee of the Red Cross (ICRC) as well as American Red Cross, Australian Red Cross, British Red Cross, Canadian Red Cross, Finnish Red Cross, German Red Cross, Japanese Red Cross Society, The Netherlands Red Cross, Norwegian Red Cross, Qatar Red Crescent Society, Spanish Red Cross, and Swiss Red Cross in-country.