DOCSLIB.ORG

July – August 23, 2021

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
July – August 23, 2021 140th National Climate Forum 22 September 2021 CLIMATE REVIEW August – September 19, 2021 Prepared by: Climate Monitoring and Prediction Section (CLIMPS) CLIMATOLOGY & AGROMETEOROLOGY DIVISION (CAD) PAGASA-DOST, Quezon City Presented by: REMEDIOS L. CIERVO Senior Weather Specialist C O N T E N T S Recent ENSO Conditions Weather Systems Climate Assessment Summary El Niño Southern Oscillation (ENSO) • A large-scale variability resulting from the interactions between the ocean and atmosphere in the tropical Pacific. YOU Phases of ENSO: ARE HERE El Niño – unusual warming in the CEEP La Niña – unusual cooling in the CEEP Neutral – neither El Niño nor La Niña SST Departures (oC) in the Tropical Pacific During the Last Four Weeks In the last four weeks, equatorial SSTs were near-to-below average across most of the equatorial Pacific Ocean, and were above-average in the western Pacific Ocean. Oceanic Indicator ENSO INDICATORS Extended Reconstructed Sea Surface Temperature (ERSST) 1.5 MONTHLY SSTA (AUGUST 2019 - AUGUST 2021) 1 El Niño 0.5 C ° 0 Neutral -0.5 ANOMALY ANOMALY -1 La Niña -1.5 Data Source: Climate Prediction Center (CPC) Atmospheric indicator (SOI) and oceanic Atmospheric Indicator indicator (SSTA) remain within the neutral Southern Oscillation Index (SOI) levels. (as of August 2021) MONTHLY SOI (AUGUST 2019 - AUGUST 2021) 20 15 La Niña 10 DIFF. 5 0 Neutral -5 PRESSURE PRESSURE -10 El Niño Southern Oscillation Index (SOI) standardized anomaly of the -15 mean sea level pressure difference between Tahiti and Darwin Data Source: Bureau of Meteorology (BOM) JUN- JUL- AUG 2021) JUNE & JULY 2021 SSTA- The sea surface temperature anomalies (SSTAs) across the tropical Pacific were near average (0ºC to -0.5ºC) while slightly warmer SSTs were observed in the western Pacific (0°C to > 0.5°C). August 2021 SSTA- The sea surface temperature anomalies (SSTAs) across the tropical Pacific were still near average (-0.4ºC to -0.5ºC) for the month, while slightly warmer SSTs were observed in the western Pacific (0.3°C to > 0.8°C). http://seacm.pagasa.dost.gov.ph/analysis/sst/2021 Historical El Niño and La Niña Episodes Based on the ONI computed using ERSST.v5 Recent Pacific warm (red) and cold (blue) periods based on a threshold of +/- 0.5 ºC for the Oceanic Nino Index (ONI) [3 month running mean of ERSST.v5 SST anomalies in the Nino 3.4 region (5N-5S, 120- 170W)]. For historical purposes, periods of below and above normal SSTs are colored in blue and red when the threshold is met for a minimum of 5 consecutive over-lapping seasons. The ONI is one measure of the El Niño-Southern Oscillation, and other indices can confirm whether features consistent with a coupled ocean-atmosphere phenomenon accompanied these periods Year DJF JFM FMA MAM AMJ MJJ JJA JAS ASO SON OND NDJ 2009 -0.8 -0.8 -0.6 -0.3 0.0 0.3 0.5 0.6 0.7 1.0 1.4 1.6 2010 1.5 1.2 0.8 0.4 -0.2 -0.7 -1.0 -1.3 -1.6 -1.6 -1.6 -1.6 2011 -1.4 -1.2 -0.9 -0.7 -0.6 -0.4 -0.5 -0.6 -0.8 -1.0 -1.1 -1.0 2012 -0.9 -0.7 -0.6 -0.5 -0.3 0.0 0.2 0.4 0.4 0.3 0.1 -0.2 2013 -0.4 -0.4 -0.3 -0.3 -0.4 -0.4 -0.4 -0.3 -0.3 -0.2 -0.2 -0.3 2014 -0.4 -0.5 -0.3 0.0 0.2 0.2 0.0 0.1 0.2 0.5 0.6 0.7 2015 0.5 0.5 0.5 0.7 0.9 1.2 1.5 1.9 2.2 2.4 2.6 2.6 2016 2.5 2.1 1.6 0.9 0.4 -0.1 -0.4 -0.5 -0.6 -0.7 -0.7 -0.6 2017 -0.3 -0.2 0.1 0.2 0.3 0.3 0.1 -0.1 -0.4 -0.7 -0.8 -1.0 2018 -0.9 -0.9 -0.7 -0.5 -0.2 0.0 0.1 0.2 0.5 0.8 0.9 0.8 2019 0.7 0.7 0.7 0.7 0.5 0.5 0.3 0.1 0.2 0.3 0.5 0.5 2020 0.5 0.5 0.4 0.2 -0.1 -0.3 -0.4 -0.6 -0.9 -1.2 -1.3 -1.2 2021 -1.0 -0.9 -0.8 -0.7 -0.5 -0.4 -0.4 Monthly Climate Assessment and Outlook Issued: 06 September 2021 • ENSO-neutral conditions still persist in the Tropical Pacific/ La Niña Watch. Near to slightly cooler than average sea surface temperatures (SSTs) observed and favored to continue until the July-August-September 2021 season Most climate models indicate that La Niña is more likely to start in October-November-December 2021 season but is not predicted to persist long enough to constitute a La Niña event. http://bagong.pagasa.dost.gov.ph/climate/climate-advisories Press Statement Issued: 13 September 2021 La Niña Alert • PAGASA's recent climate monitoring and analyses indicate that La Niña may emerge in the coming months. • Based on latest forecasts by most climate models and expert judgements, there is a 70-80% chance of La Niña forming in the last quarter of 2021 which may persist until the first quarter of 2022. http://bagong.pagasa.dost.gov.ph/press-release Weather Systems that affected the country AUGUST – SEPTEMBER 19, 2021 SOUTHWEST LOW PRESSURE THUNDERSTORMS EASTERLIES MONSOON AREAS (LPAs) TD “GORIO” (Aug 4) TS “HUANING” LUPIT (Aug 7) TS “ISANG” OMAIS (Aug 19 – 22) TY “JOLINA” CONSON ( Sep 6-9) TY “KIKO” CHANTHU ( Sep 7-12) RIDGE OF HIGH TROPICAL CYCLONES PRESSURE AREAS (HPAs) INTER-TROPICAL CONVERGENCE ZONE (ITCZ) Understanding our Rainfall Maps PERCENTAGE (%) RAINFALL CONDITION Less than 40 % way below normal 41 – 80 % below normal 81 – 120 % near normal Greater than 120 % above normal Percent of Normal = Actual Rainfall x 100% Normal Rainfall Monthly Rainfall ACTUAL RAINFALL PER PROVINCE (August 2021) PROVINCE mm %N PROVINCE mm %N CORDILLERA ADMINISTRATIVE REGION (CAR) REGION VI (WESTERN VISAYAS) ABRA 651.4 62.6 AKLAN 364.5 92.3 BENGUET 1268.0 106.4 ANTIQUE 453.5 67.2 IFUGAO 417.3 100.1 CAPIZ 219.5 91.3 KALINGA 272.5 61.5 GUIMARAS 392.1 49.2 APAYAO 293.0 61.9 ILOILO 300.5 63.7 MOUNTAIN PROVINCE 567.9 82.7 NEGROS OCCIDENTAL 185.5 76.2 REGION I REGION VII (CENTRAL VISAYAS) ILOCOS NORTE 596.3 68.4 NEGROS ORIENTAL 159.1 114.4 ILOCOS SUR 1260.6 73.3 BOHOL 91.6 78.1 LA UNION 1627.0 92.7 CEBU 115.1 93.9 PANGASINAN 609.2 76.5 SIQUIJOR 136.3 112.8 REGION II REGION VIII (EASTERN VISAYAS) BATANES 225.6 118.3 BILIRAN 59.9 83.2 CAGAYAN 144.6 63.3 EASTERN SAMAR 234.0 136.7 ISABELA 251.9 74.6 LEYTE 134.0 77.6 NUEVA VIZCAYA 275.7 118.9 NORTHERN SAMAR 223.4 72.5 QUIRINO 26.0 114.5 SAMAR (WESTERN SAMAR) 167.7 94.7 REGION III (CENTRAL LUZON) SOUTHERN LEYTE 123.3 83.7 BATAAN 1391.3 44.0 REGION IX (ZAMBOANGA PENINSULA) BULACAN 668.3 77.4 ZAMBOANGA DEL NORTE 183.4 77.6 NUEVA ECIJA 332.7 105.7 ZAMBOANGA DEL SUR 154.1 80.9 PAMPANGA 732.3 69.3 ZAMBOANGA SIBUGAY 154.6 65.6 TARLAC 340.5 73.2 REGION X (NORTHERN MINDANAO) ZAMBALES 1127.1 50.9 BUKIDNON 203.1 88.0 AURORA 298.0 104.9 CAMIGUIN 147.6 95.8 NATIONAL CAPITAL REGION LANAO DEL NORTE 199.2 113.5 METRO MANILA 718.0 40.5 MISAMIS OCCIDENTAL 229.8 105.1 REGION IV-A (CALABARZON) MISAMIS ORIENTAL 204.0 105.9 BATANGAS 597.9 68.8 REGION XI (DAVAO REGION) CAVITE 749.9 42.1 DAVAO DE ORO 218.1 93.4 LAGUNA 490.2 63.3 DAVAO CITY 222.4 91.4 RIZAL 603.2 55.9 DAVAO DEL NORTE 209.5 83.1 QUEZON 390.3 95.8 DAVAO DEL SUR 205.8 99.4 REGION IV-B (MIMAROPA) DAVAO OCCIDENTAL 147.0 99.5 MARINDUQUE 560.3 98.8 DAVAO ORIENTAL 848.2 101.6 OCCIDENTAL MINDORO 681.5 66.6 REGION XII (SOCCSKSARGEN) ORIENTAL MINDORO 606.4 80.0 SOUTH COTABATO 141.1 80.3 ROMBLON 1882.1 101.7 COTABATO 204.4 77.9 PALAWAN 294.6 58.7 SARANGANI 122.4 89.9 REGION V (BICOL) SULTAN KUDARAT 176.5 66.0 ALBAY 204.8 91.7 REGION XIII- CARAGA CAMARINES NORTE 245.8 108.4 AGUSAN DEL NORTE 125.6 182.8 CAMARINES SUR 250.7 102.7 AGUSAN DEL SUR 225.8 131.0 CATANDUANES 355.4 174.9 DINAGAT ISLANDS 128.9 136.8 MASBATE 2388.2 98.6 SURIGAO DEL NORTE 285.1 143.0 SORSOGON 184.1 97.4 SURIGAO DEL SUR 244.5 151.8 ARMM 0 % Way Below Nor 50 % Near Normal BASILAN 77.2 56.3 MAGUINDANAO 181.0 60.5 LANAO DEL SUR 175.0 109.5 SULU 924.3 73.3 42 % Below Normal 8 % Above Normal TAWI-TAWI 924.3 74.6 Monthly Rainfall ACTUAL RAINFALL PER PROVINCE (as of September 19 2021) PROVINCE mm %N PROVINCE mm %N CORDILLERA ADMINISTRATIVE REGION (CAR) REGION VI (WESTERN VISAYAS) ABRA 240.3 62.2 AKLAN 257.6 94.8 BENGUET 359.4 73.5 ANTIQUE 199.9 72.1 IFUGAO 194.0 55.6 CAPIZ 231.8 93.0 KALINGA 149.8 47.8 GUIMARAS 233.3 72.5 APAYAO 158.0 46.4 ILOILO 199.7 75.3 MOUNTAIN PROVINCE 205.0 55.6 NEGROS OCCIDENTAL 267.7 89.9 REGION I REGION VII (CENTRAL VISAYAS) ILOCOS NORTE 235.7 60.6 NEGROS ORIENTAL 235.8 110.8 ILOCOS SUR 316.5 69.7 BOHOL 137.7 89.7 LA UNION 385.6 72.0 CEBU 191.5 86.7 PANGASINAN 264.0 63.0 SIQUIJOR 138.8 108.3 REGION II REGION VIII (EASTERN VISAYAS) BATANES 177.8 50.7 BILIRAN 174.4 75.3 CAGAYAN 115.5 39.8 EASTERN SAMAR 257.1 134.6 ISABELA 123.0 44.3 LEYTE 217.0 96.8 NUEVA VIZCAYA 220.1 62.1 NORTHERN SAMAR 148.1 79.4 QUIRINO 120.8 48.8 SAMAR (WESTERN SAMAR) 193.3 94.6 REGION III (CENTRAL LUZON) SOUTHERN LEYTE 228.1 107.4 BATAAN 377.7 72.3 REGION IX (ZAMBOANGA PENINSULA) BULACAN 420.1 110.9 ZAMBOANGA DEL NORTE 154.7 75.1 NUEVA ECIJA 305.5 92.2 ZAMBOANGA DEL SUR 158.6 80.4 PAMPANGA 345.0 96.5 ZAMBOANGA SIBUGAY 164.3 79.2 TARLAC 234.4 81.9 REGION X (NORTHERN MINDANAO) ZAMBALES 311.3 71.1 BUKIDNON 274.3 99.7 AURORA 212.4 69.2 CAMIGUIN 91.4 62.5 NATIONAL CAPITAL REGION LANAO DEL NORTE 190.7 92.2 METRO MANILA 319.7 84.6 MISAMIS OCCIDENTAL 143.1 76.0 REGION IV-A (CALABARZON) MISAMIS ORIENTAL 139.2 63.4 BATANGAS 281.4 101.7 REGION XI (DAVAO REGION) CAVITE 251.9 72.7 DAVAO DE ORO 149.8 77.9 LAGUNA 291.5 95.9 DAVAO CITY 187.1 82.2 RIZAL 347.0 95.8 DAVAO DEL NORTE 200.7 86.5 QUEZON 324.6 116.4 DAVAO DEL SUR 129.5 75.0 REGION IV-B (MIMAROPA) DAVAO OCCIDENTAL 101.7 76.7 MARINDUQUE 324.1 127.7 DAVAO ORIENTAL 130.2 75.5 OCCIDENTAL MINDORO 284.8 92.3 REGION XII (SOCCSKSARGEN) ORIENTAL MINDORO 281.2 102.8 SOUTH COTABATO 111.0 77.9 ROMBLON 256.7 98.2 COTABATO 230.3 94.7 PALAWAN 192.2 68.0 SARANGANI 96.6 77.9 REGION V (BICOL) SULTAN KUDARAT 151.6 79.1 ALBAY 177.7 77.6 REGION XIII- CARAGA CAMARINES NORTE 233.1 91.1 AGUSAN DEL NORTE 130.0 79.3 CAMARINES SUR
Load more

Recommended publications
  • Bid Results on Civil Works No. Name of Project Approved / Estimated
    FDP Form 10a - Bid Results on Civil Works 3 Forms to Use: 1. Bid Results on Civil Works 2. Bid Results on Goods and Services 3. Bid Results on Consulting Services INDIVIDUAL BID-OUTS ARE NOT ALLOWED Republic of the Philippines CIVIL WORKS BID-OUT PROVINCE OF ISABELA 4th Quarter, CY 2018 Approved / Estimated No. Name of Project Location Winning Bidder/ Lowest Calculated Bidder Name and Address Contract Amount Bidding Date Budget for Contract Construction of Provincial Hemodialysis Center at Gov. Faustino Engr. Ferdinand L. Ambatali 1 19,999,561.19 City of Ilagan, Isabela Foref Construction 19,990,679.73 11/5/2018 N. Dy Sr. Memorial Hospital - Trust Fund - Excise Tax Brgy. Osmena, City of Ilagan, Isabela Repair of the Veterinary Clinic, Provincial Capitol Compound - Engr. Floren L. Ambatali 2 500,000.00 City of Ilagan, Isabela 4A's Construction 486,879.16 11/5/2018 EDF 2018 Calamagui 2nd, City of Ilagan, Isabela Engr. Erni G, Baggao Construction of Multi-Purpose Building - 2018 EDF Tumauini National High 3 3,500,000.00 EGB Construction Maharlika Highway, City of Ilagan, 3,498,994.29 11/5/2018 Reprogramming School, Tumauini, Isabela Isabela Engr. Erni G, Baggao Construction of Multi-Purpose Building - 2018 EDF Brgy. Bayabo, Tumauini, 4 2,000,000.00 EGB Construction Maharlika Highway, City of Ilagan, 1,998,798.75 11/5/2018 Reprogramming Isabela Isabela Construction of Multi-Purpose Building - 2018 EDF Mr. Kevin Rustom C. Valdepenas 5 2,500,000.00 Brgy. Santa, Tumauini, Isabela KWA Construction 2,464,185.50 11/5/2018 Reprogramming Bangad, Sta.
    [Show full text]
  • DIRECTORY of PDIC MEMBER RURAL BANKS As of 27 July 2021
    DIRECTORY OF PDIC MEMBER RURAL BANKS As of 27 July 2021 NAME OF BANK BANK ADDRESS CONTACT NUMBER * 1 Advance Credit Bank (A Rural Bank) Corp. (Formerly Advantage Bank Corp. - A MFO RB) Stop Over Commercial Center, Gerona-Pura Rd. cor. MacArthur Highway, Brgy. Abagon, Gerona, Tarlac (045) 931-3751 2 Agribusiness Rural Bank, Inc. 2/F Ropali Plaza Bldg., Escriva Dr. cor. Gold Loop, Ortigas Center, Brgy. San Antonio, City of Pasig (02) 8942-2474 3 Agricultural Bank of the Philippines, Inc. 121 Don P. Campos Ave., Brgy. Zone IV (Pob.), City of Dasmariñas, Cavite (046) 416-3988 4 Aliaga Farmers Rural Bank, Inc. Gen. Luna St., Brgy. Poblacion West III, Aliaga, Nueva Ecija (044) 958-5020 / (044) 958-5021 5 Anilao Bank (Rural Bank of Anilao (Iloilo), Inc. T. Magbanua St., Brgy. Primitivo Ledesma Ward (Pob.), Pototan, Iloilo (033) 321-0159 / (033) 362-0444 / (033) 393-2240 6 ARDCIBank, Inc. - A Rural Bank G/F ARDCI Corporate Bldg., Brgy. San Roque (Pob.), Virac, Catanduanes (0908) 820-1790 7 Asenso Rural Bank of Bautista, Inc. National Rd., Brgy. Poblacion East, Bautista, Pangasinan (0917) 817-1822 8 Aspac Rural Bank, Inc. ASPAC Bank Bldg., M.C. Briones St. (Central Nautical Highway) cor. Gen. Ricarte St., Brgy. Guizo, City of Mandaue, Cebu (032) 345-0930 9 Aurora Bank (A Microfinance-Oriented Rural Bank), Inc. GMA Farms Building, Rizal St., Brgy. V (Pob.), Baler, Aurora (042) 724-0095 10 Baclaran Rural Bank, Inc. 83 Redemptorist Rd., Brgy. Baclaran, City of Parañaque (02) 8854-9551 11 Balanga Rural Bank, Inc. Don Manuel Banzon Ave., Brgy.
    [Show full text]
  • The Philippines Hotspot
    Ecosystem Profile THE PHILIPPINES HOTSPOT final version December 11, 2001 CONTENTS INTRODUCTION 3 The Ecosystem Profile 3 The Corridor Approach to Conservation 3 BACKGROUND 4 BIOLOGICAL IMPORTANCE OF THE PHILIPPINES HOTSPOT 5 Prioritization of Corridors Within the Hotspot 6 SYNOPSIS OF THREATS 11 Extractive Industries 11 Increased Population Density and Urban Sprawl 11 Conflicting Policies 12 Threats in Sierra Madre Corridor 12 Threats in Palawan Corridor 15 Threats in Eastern Mindanao Corridor 16 SYNOPSIS OF CURRENT INVESTMENTS 18 Multilateral Donors 18 Bilateral Donors 21 Major Nongovernmental Organizations 24 Government and Other Local Research Institutions 26 CEPF NICHE FOR INVESTMENT IN THE REGION 27 CEPF INVESTMENT STRATEGY AND PROGRAM FOCUS 28 Improve linkage between conservation investments to multiply and scale up benefits on a corridor scale in Sierra Madre, Eastern Mindanao and Palawan 29 Build civil society’s awareness of the myriad benefits of conserving corridors of biodiversity 30 Build capacity of civil society to advocate for better corridor and protected area management and against development harmful to conservation 30 Establish an emergency response mechanism to help save Critically Endangered species 31 SUSTAINABILITY 31 CONCLUSION 31 LIST OF ACRONYMS 32 2 INTRODUCTION The Critical Ecosystem Partnership Fund (CEPF) is designed to better safeguard the world's threatened biodiversity hotspots in developing countries. It is a joint initiative of Conservation International (CI), the Global Environment Facility (GEF), the Government of Japan, the MacArthur Foundation and the World Bank. CEPF provides financing to projects in biodiversity hotspots, areas with more than 60 percent of the Earth’s terrestrial species diversity in just 1.4 percent of its land surface.
    [Show full text]
  • (0399912) Establishing Baseline Data for the Conservation of the Critically Endangered Isabela Oriole, Philippines
    ORIS Project (0399912) Establishing Baseline Data for the Conservation of the Critically Endangered Isabela Oriole, Philippines Joni T. Acay and Nikki Dyanne C. Realubit In cooperation with: Page | 0 ORIS Project CLP PROJECT ID (0399912) Establishing Baseline Data for the Conservation of the Critically Endangered Isabela Oriole, Philippines PROJECT LOCATION AND DURATION: Luzon Island, Philippines Provinces of Bataan, Quirino, Isabela and Cagayan August 2012-July 2014 PROJECT PARTNERS: ∗ Mabuwaya Foundation Inc., Cabagan, Isabela ∗ Department of Natural Sciences (DNS) and Department of Development Communication and Languages (DDCL), College of Development Communication and Arts & Sciences, ISABELA STATE UNIVERSITY-Cabagan, ∗ Wild Bird Club of the Philippines (WBCP), Manila ∗ Community Environmental and Natural Resources Office (CENRO) Aparri, CENRO Alcala, Provincial Enviroment and Natural Resources Office (PENRO) Cagayan ∗ Protected Area Superintendent (PASu) Northern Sierra Madre Natural Park, CENRO Naguilian, PENRO Isabela ∗ PASu Quirino Protected Landscape, PENRO Quirino ∗ PASu Mariveles Watershed Forest Reserve, PENRO Bataan ∗ Municipalities of Baggao, Gonzaga, San Mariano, Diffun, Limay and Mariveles PROJECT AIM: Generate baseline information for the conservation of the Critically Endangered Isabela Oriole. PROJECT TEAM: Joni Acay, Nikki Dyanne Realubit, Jerwin Baquiran, Machael Acob Volunteers: Vanessa Balacanao, Othniel Cammagay, Reymond Guttierez PROJECT ADDRESS: Mabuwaya Foundation, Inc. Office, CCVPED Building, ISU-Cabagan Campus,
    [Show full text]
  • Over Land and Over Sea: Domestic Trade Frictions in the Philippines – Online Appendix
    ONLINE APPENDIX Over Land and Over Sea: Domestic Trade Frictions in the Philippines Eugenia Go 28 February 2020 A.1. DATA 1. Maritime Trade by Origin and Destination The analysis is limited to a set of agricultural commodities corresponding to 101,159 monthly flows. About 5% of these exhibit highly improbable derived unit values suggesting encoding errors. More formally, provincial retail and farm gate prices are used as upper and lower bounds of unit values to check for outliers. In such cases, more weight is given to the volume record as advised by the Philippine Statistics Authority (PSA), and values were adjusted according to the average unit price of the exports from the port of the nearest available month before and after the outlier observation. 2. Interprovince Land Trade Interprovince land trade flows were derived using Marketing Cost Structure Studies prepared by the Bureau of Agricultural Statistics for a number of products in selected years. These studies identify the main supply and destination provinces for certain commodities. The difference between production and consumption of a supply province is assumed to be the amount available for export to demand provinces. The derivation of imports of a demand province is straightforward when an importing province only has one source province. In cases where a demand province sources from multiple suppliers, such as the case of the National Capital Region (NCR), the supplying provinces are weighted according to the sample proportions in the survey. For example, NCR sources onions from Ilocos Norte, Pangasinan, and Nueva Ecija. Following the sample proportion of traders in each supply province, it is assumed that 26% of NCR imports came from Ilocos Norte, 34% from Pangasinan, and 39% from Nueva Ecija.
    [Show full text]
  • DSWD DROMIC Report #5 on Tropical Depression “VICKY” As of 22 December 2020, 6PM
    DSWD DROMIC Report #5 on Tropical Depression “VICKY” as of 22 December 2020, 6PM Situation Overview On 18 December 2020, Tropical Depression “VICKY” entered the Philippine Area of Responsibility (PAR) and made its first landfall in the municipality of Banganga, Davao Oriental at around 2PM. On 19 December 2020, Tropical Depression “VICKY” made another landfall in Puerto Princesa City, Palawan and remained a tropical depression while exiting the Philippine Area of Responsibility (PAR) on 20 December 2020. Source: DOST-PAGASA Severe Weather Bulletin I. Status of Affected Families / Persons A total of 31,408 families or 130,855 persons were affected in 290 barangays in Regions VII, VIII, XI and Caraga (see Table 1). Table 1. Number of Affected Families / Persons NUMBER OF AFFECTED REGION / PROVINCE / MUNICIPALITY Barangays Families Persons GRAND TOTAL 290 31,408 130,855 REGION VII 32 618 2,510 Bohol 3 15 60 Candijay 3 15 60 Cebu 15 441 1,812 Argao 1 15 45 Boljoon 2 13 44 Compostela 2 54 221 Dalaguete 1 2 8 Danao City 1 150 600 Dumanjug 1 20 140 Lapu-Lapu City (Opon) 4 163 662 Sibonga 3 24 92 Negros Oriental 14 162 638 Bais City 3 33 125 Dumaguete City (capital) 6 92 365 City of Tanjay 5 37 148 REGION VIII 2 12 38 Leyte 2 12 38 MacArthur 1 10 34 Mahaplag 1 2 4 REGION XI 22 608 2,818 Davao de Oro 13 294 1,268 Compostela 2 10 37 Mawab 1 7 20 Monkayo 3 72 360 Montevista 1 13 65 Nabunturan (capital) 4 152 546 Pantukan 2 40 240 Davao del Norte 8 310 1,530 Asuncion (Saug) 6 238 1,180 Kapalong 1 12 50 New Corella 1 60 300 Davao Oriental 1 4 20 Cateel 1 4 20 CARAGA 234 30,170 125,489 Page 1 of 9 | DSWD DROMIC Report #5 on Tropical Depression “VICKY” as of 22 December 2020, 6PM NUMBER OF AFFECTED REGION / PROVINCE / MUNICIPALITY Barangays Families Persons Agusan del Norte 30 1,443 6,525 Butuan City (capital) 16 852 4,066 City of Cabadbaran 9 462 2,007 Jabonga 2 38 119 Las Nieves 1 10 50 Remedios T.
    [Show full text]
  • Madweng Pottery Tradition in Santa Maria, Isabela Raquel R
    IRCHE 2017 4th International Research Conference on Higher Education Volume 2018 Conference Paper Madweng Pottery Tradition in Santa Maria, Isabela Raquel R. Geronimo Philippine Normal University North Luzon Abstract This study investigates the unique indigenous pottery traditions of the Madweng in an Ibanag community in Santa, Maria, Isabela, located in the interior northwestern part of the province of Isabela, Philippines which boasts its huge non -metallic deposit of clay. The Madweng are the Ibanag potters who make, produce such earthenwares. Ethnography as a research design and strategy is utilized to understand indigenous concepts, technology and pottery traditions in manufacturing the dweng. Ethnographic methods like interviews, fieldwork, recording of field notes, direct observation, and Corresponding Author: smartphones were used for photographs, audio recording and analyzing data. Utilizing Raquel R. Geronimo mga katutubong metodo sa Sikolohiyang Pilipino (methods in Filipino Psychology) [email protected] the indigenous method of pakikipagkuwentuhan” (sharing stories), and pagtatanong- Received: 23 April 2018 tanong (asking around), the Ibanag language was employed to draw information Accepted: 8 May 2018 Published: 4 June 2018 in the indigenous idea of pagpapakuwento” (someone is telling the story). Results showed that Ibanag pottery tradition was introduced by the Kalingas, kept and Publishing services provided by Knowledge E used as a significant part of an Ibanag heritage from their ancestors. Manu-mano or hand modelling, maffulang or painting, magabba or firing, were some parts of Raquel R. Geronimo. This article is distributed under the indigenizing methods by the Madweng. Since 1954, no major changes in the method terms of the Creative Commons of manufacture from the teachings of the Kalingas except for a minimal technological Attribution License, which permits unrestricted use and advancement in manufacturing pots using the hurmaan, or molder.
    [Show full text]
  • Southern Leyte
    EXPANDED NATIONAL NUTRITION SURVEY: 2019 RESULTS SOUTHERN LEYTE 2019 Expanded National Nutrition Survey Overview and Methodology The Department of Science and Technology -Food and Nutrition Research Institute (DOST-FNRI) is the premier Research and Development Institute of the government in food, and nutrition and other S & T services. LEGAL BASIS Executive Order 128 Section 22 The FNRI is mandated to undertake research that defines the citizenry’s nutritional status, with reference particularly to the malnutrition problem, its causes and effects, and identify alternative solutions to them; Executive Order 352 The national nutrition survey is a designated statistical activity that will generate critical data for decision-making of the government and the private sector Designated Statistical Activities • The National Nutrition Survey (NNS) is a comprehensive survey conducted every five years since 1978 and the latest of which is in 2013. • In-between the five-year period, the Updating Survey of Nutritional Status of Children and Other Population Groups is conducted every 2 to 3 years to rapidly assess the nutrition situation of Filipinos. HISTORICAL BACKGROUND 1978 1982 1987 1990 1993 1995 1998 1st NNS 2nd NNS 3rd NNS 1st 4th NNS 2nd 5th NNS Updating Updating Survey Survey 2001 2003 2005 2008 2011 2013 2015 2018-2020 3rd 6th NNS 4th 7th NNS 5th 8th NNS 6th Updating Updating Updating Updating Expanded Survey Survey Survey Survey NNS SURVEY COMPONENTS GOVERNMEN CLINICAL & SOCIO-ECONOMIC T PROGRAM ANTHROPOMETRY BIOCHEMICAL DIETARY HEALTH 3
    [Show full text]
  • Chronic Food Insecurity Situation Overview in 71 Provinces of the Philippines 2015-2020
    Chronic Food Insecurity Situation Overview in 71 provinces of the Philippines 2015-2020 Key Highlights Summary of Classification Conclusions Summary of Underlying and Limiting Factors Out of the 71 provinces Severe chronic food insecurity (IPC Major factors limiting people from being food analyzed, Lanao del Sur, level 4) is driven by poor food secure are the poor utilization of food in 33 Sulu, Northern Samar consumption quality, quantity and provinces and the access to food in 23 provinces. and Occidental Mindoro high level of chronic undernutrition. Unsustainable livelihood strategies are major are experiencing severe In provinces at IPC level 3, quality of drivers of food insecurity in 32 provinces followed chronic food insecurity food consumption is worse than by recurrent risks in 16 provinces and lack of (IPC Level 4); 48 quantity; and chronic undernutrition financial capital in 17 provinces. provinces are facing is also a major problem. In the provinces at IPC level 3 and 4, the majority moderate chronic food The most chronic food insecure of the population is engaged in unsustainable insecurity (IPC Level 3), people tend to be the landless poor livelihood strategies and vulnerable to seasonal and 19 provinces are households, indigenous people, employment and inadequate income. affected by a mild population engaged in unsustainable Low-value livelihood strategies and high chronic food insecurity livelihood strategies such as farmers, underemployment rate result in high poverty (IPC Level 2). unskilled laborers, forestry workers, incidence particularly in Sulu, Lanao del Sur, Around 64% of the total fishermen etc. that provide Maguindanao, Sarangani, Bukidnon, Zamboanga population is chronically inadequate and often unpredictable del Norte (Mindanao), Northern Samar, Samar food insecure, of which income.
    [Show full text]
  • Agusan Del Norte 2019 Expanded National Nutrition Survey
    EXPANDED NATIONAL NUTRITION SURVEY: 2019 RESULTS AGUSAN DEL NORTE 2019 EXPANDED NATIONAL NUTRITION SURVEY Overview and Methodology CHARMAINE A. DUANTE Supervising SRS The Department of Science and Technology -Food and Nutrition Research Institute (DOST-FNRI) is the premier Research and Development Institute of the government in food, and nutrition and other S & T services. LEGAL BASIS Executive Order 128 Section 22 The FNRI is mandated to undertake research that defines the citizenry’s nutritional status, with reference particularly to the malnutrition problem, its causes and effects, and identify alternative solutions to them; Executive Order 352 The national nutrition survey is a designated statistical activity that will generate critical data for decision-making of the government and the private sector Designated Statistical Activities • The National Nutrition Survey (NNS) is a comprehensive survey conducted every five years since 1978 and the latest of which is in 2013. • In-between the five-year period, the Updating Survey of Nutritional Status of Children and Other Population Groups is conducted every 2 to 3 years to rapidly assess the nutrition situation of Filipinos. HISTORICAL BACKGROUND 1978 1982 1987 1990 1993 1995 1998 1st NNS 2nd NNS 3rd NNS 1st 4th NNS 2nd 5th NNS Updating Updating Survey Survey 2001 2003 2005 2008 2011 2013 2015 2018-2020 3rd 6th NNS 4th 7th NNS 5th 8th NNS 6th Updating Updating Updating Updating Expanded Survey Survey Survey Survey NNS SURVEY COMPONENTS GOVERNMENT CLINICAL & SOCIO-ECONOMIC PROGRAM ANTHROPOMETRY
    [Show full text]
  • Second Quarter of 2019 Compared to Its Performance on the Same Period Last Year (Figure 1)
    TABLE OF CONTENTS I. Macroeconomic Performance . 1 Inflation . 1 Consumer Price Index . 1 Purchasing Power of Peso . 2 Labor and Employment . 2 II. Agriculture, Forestry and Fishery Sector Performance . 3 Crops . 3 Palay . 3 Corn . 4 Fruit Crops . 5 Vegetables . 6 Non-food and Industrial and Commercial Crops . 7 Livestock and Poultry . 7 Fishery . 7 Forestry . 8 III. Trade and Industry Services Sector Performance . 9 Business Name Registration . 9 Export . 9 Manufacturing . 10 Mining . 10 IV. Services Sector Performance . 12 Financing . 12 Tourism . 12 Air Transport . 13 Sea Transport . 13 Land Transport . 14 V. Peace and Security . 16 VI. Development Prospects . 18 MACROECONOMIC PERFORMANCE Inflation Rate Figure 1. Inflation Rate, Caraga Region Page 1 The region’s inflation further eased down in the second quarter of 2019 compared to its performance on the same period last year (Figure 1). On the average, the region’s inflation rate declined by 0.9 percentage point to settle at 2.4 percent in Q2 this year from 3.3 percent in the same period last year. The region’s inflation rate continued to slow down from 2.6 percent in April 2019 to 2.0 percent in June 2019, a decrease of 0.6 percentage point between those Source: PSA Caraga periods. This was attributed to the slow price increases in the overall price indices over time Figure 2. Inflation Rate by Province on the region’s basic goods and services, particularly food items and education. The implementation of Republic Act No. 10931, which provides free tuition, essentially reduced the cost of education in the region.
    [Show full text]
  • Region 8 Households Under 4Ps Sorsogon Biri 950
    Philippines: Region 8 Households under 4Ps Sorsogon Biri 950 Lavezares Laoang Palapag Allen 2174 Rosario San Jose 5259 2271 1519 811 1330 San Roque Pambujan Mapanas Victoria Capul 1459 1407 960 1029 Bobon Catarman 909 San Antonio Mondragon Catubig 1946 5978 630 2533 1828 Gamay San Isidro Northern Samar 2112 2308 Lapinig Lope de Vega Las Navas Silvino Lobos 2555 Jipapad 602 San Vicente 844 778 595 992 Arteche 1374 San Policarpo Matuguinao 1135 Calbayog City 853 Oras 11265 2594 Maslog Calbayog Gandara Dolores ! 2804 470 Tagapul-An Santa Margarita San Jose de Buan 2822 729 1934 724 Pagsanghan San Jorge Can-Avid 673 1350 1367 Almagro Tarangnan 788 Santo Nino 2224 1162 Motiong Paranas Taft 1252 2022 Catbalogan City Jiabong 1150 4822 1250 Sulat Maripipi Samar 876 283 San Julian Hinabangan 807 Kawayan San Sebastian 975 822 Culaba 660 659 Zumarraga Almeria Daram 1624 Eastern Samar 486 Biliran 3934 Calbiga Borongan City Naval Caibiran 1639 2790 1821 1056 Villareal Pinabacdao Biliran Cabucgayan Talalora 2454 1433 Calubian 588 951 746 2269 Santa Rita Maydolong 3070 784 Basey Balangkayan Babatngon 3858 617 1923 Leyte Llorente San Miguel Hernani Tabango 3158 Barugo 1411 1542 595 2404 1905 Tacloban City! General Macarthur Capoocan Tunga 7531 Carigara 1056 2476 367 2966 Alangalang Marabut Lawaan Balangiga Villaba 3668 Santa Fe Quinapondan 1508 1271 800 895 2718 Kananga Jaro 997 Salcedo 2987 2548 Palo 1299 Pastrana Giporlos Matag-Ob 2723 1511 902 1180 Leyte Tanauan Mercedes Ormoc City Dagami 2777 326 Palompon 6942 2184 Tolosa 1984 931 Julita Burauen 1091
    [Show full text]