Data Collection Survey on Strategy Development of Disaster Risk Reduction and Management in the Socialist Republic of Vietnam
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Developing West-Northern Provinces of Vietnam: Challenge to Integrate with GMS Market Via China-Laos-Vietnam Triangle Cooperation
CHAPTER 7 Developing West-Northern Provinces of Vietnam: Challenge to Integrate with GMS Market via China-Laos-Vietnam Triangle Cooperation Phi Vinh Tuong This chapter should be cited as: Phi, Vinh Tuong, 2012. “Developing West-Northern Provinces of Vietnam: Challenge to Integrate with GMS Market via China-Laos-Vietnam Triangle Cooperation.” In Five Triangle Areas in The Greater Mekong Subregion, edited by Masami Ishida, BRC Research Report No.11, Bangkok Research Center, IDE-JETRO, Bangkok, Thailand. CHAPTER 7 DEVELOPING WEST-NORTHEN PROVINCES OF VIETNAM: CHALLENGE TO INTEGRATE WITH GMS MARKET VIA CHINA-LAOS-VIETNAM TRIANGLE COOPERATION Phi Vinh Tuong INTRODUCTION The economy of Vietnam has benefited from regional and world markets over the past 20 years of integration. Increasing trade promoted investment, job creation and poverty reduction, but the distribution of trade benefits was not equal across regions. Some remote and mountainous areas, such as the west-northern region of Vietnam, were left at the margin. Even though they are important to the development of Vietnam, providing energy for industrialization, the lack of resource allocation hinders infrastructure development and, therefore, reduces their chances of access to regional and world markets. The initiative of developing one of the northern triangles, which consists of three west-northern provinces of Vietnam, the northern provinces of Laos and a southern part of Yunnan Province in China (we call the northern triangle as CHLV Triangle hereafter), could be a new approach for this region’s development. Strengthening the cooperation and specialization among these provinces may increase the chances of exporting local products with higher value added to regional markets, including the Greater Mekong Subregion (GMS) and south-western Chinese markets. -
4. the TROPICS—HJ Diamond and CJ Schreck, Eds
4. THE TROPICS—H. J. Diamond and C. J. Schreck, Eds. Pacific, South Indian, and Australian basins were a. Overview—H. J. Diamond and C. J. Schreck all particularly quiet, each having about half their The Tropics in 2017 were dominated by neutral median ACE. El Niño–Southern Oscillation (ENSO) condi- Three tropical cyclones (TCs) reached the Saffir– tions during most of the year, with the onset of Simpson scale category 5 intensity level—two in the La Niña conditions occurring during boreal autumn. North Atlantic and one in the western North Pacific Although the year began ENSO-neutral, it initially basins. This number was less than half of the eight featured cooler-than-average sea surface tempera- category 5 storms recorded in 2015 (Diamond and tures (SSTs) in the central and east-central equatorial Schreck 2016), and was one fewer than the four re- Pacific, along with lingering La Niña impacts in the corded in 2016 (Diamond and Schreck 2017). atmospheric circulation. These conditions followed The editors of this chapter would like to insert two the abrupt end of a weak and short-lived La Niña personal notes recognizing the passing of two giants during 2016, which lasted from the July–September in the field of tropical meteorology. season until late December. Charles J. Neumann passed away on 14 November Equatorial Pacific SST anomalies warmed con- 2017, at the age of 92. Upon graduation from MIT siderably during the first several months of 2017 in 1946, Charlie volunteered as a weather officer in and by late boreal spring and early summer, the the Navy’s first airborne typhoon reconnaissance anomalies were just shy of reaching El Niño thresh- unit in the Pacific. -
Tropical Cyclone Intensity Estimation Using Multi-Dimensional Convolutional Neural Networks from Geostationary Satellite Data
remote sensing Article Tropical Cyclone Intensity Estimation Using Multi-Dimensional Convolutional Neural Networks from Geostationary Satellite Data Juhyun Lee 1, Jungho Im 1,* , Dong-Hyun Cha 1, Haemi Park 2 and Seongmun Sim 1 1 School of Urban & Environmental Engineering in Ulsan National Institute of Science and Technology, Ulsan 44919, Korea; [email protected] (J.L.); [email protected] (D.-H.C.); [email protected] (S.S.) 2 Institute of Industrial Science in the University of Tokyo, A building, 4 Chome-6-1 Komaba, Meguro City, Tokyo 153-8505, Japan; [email protected] * Correspondence: [email protected]; Tel.: +82-52-217-2824 Received: 25 November 2019; Accepted: 25 December 2019; Published: 28 December 2019 Abstract: For a long time, researchers have tried to find a way to analyze tropical cyclone (TC) intensity in real-time. Since there is no standardized method for estimating TC intensity and the most widely used method is a manual algorithm using satellite-based cloud images, there is a bias that varies depending on the TC center and shape. In this study, we adopted convolutional neural networks (CNNs) which are part of a state-of-art approach that analyzes image patterns to estimate TC intensity by mimicking human cloud pattern recognition. Both two dimensional-CNN (2D-CNN) and three-dimensional-CNN (3D-CNN) were used to analyze the relationship between multi-spectral geostationary satellite images and TC intensity. Our best-optimized model produced a root mean squared error (RMSE) of 8.32 kts, resulting in better performance (~35%) than the existing model using the CNN-based approach with a single channel image. -
Field Investigations of Coastal Sea Surface Temperature Drop
1 Field Investigations of Coastal Sea Surface Temperature Drop 2 after Typhoon Passages 3 Dong-Jiing Doong [1]* Jen-Ping Peng [2] Alexander V. Babanin [3] 4 [1] Department of Hydraulic and Ocean Engineering, National Cheng Kung University, Tainan, 5 Taiwan 6 [2] Leibniz Institute for Baltic Sea Research Warnemuende (IOW), Rostock, Germany 7 [3] Department of Infrastructure Engineering, Melbourne School of Engineering, University of 8 Melbourne, Australia 9 ---- 10 *Corresponding author: 11 Dong-Jiing Doong 12 Email: [email protected] 13 Tel: +886 6 2757575 ext 63253 14 Add: 1, University Rd., Tainan 70101, Taiwan 15 Department of Hydraulic and Ocean Engineering, National Cheng Kung University 16 -1- 1 Abstract 2 Sea surface temperature (SST) variability affects marine ecosystems, fisheries, ocean primary 3 productivity, and human activities and is the primary influence on typhoon intensity. SST drops 4 of a few degrees in the open ocean after typhoon passages have been widely documented; 5 however, few studies have focused on coastal SST variability. The purpose of this study is to 6 determine typhoon-induced SST drops in the near-coastal area (within 1 km of the coast) and 7 understand the possible mechanism. The results of this study were based on extensive field data 8 analysis. Significant SST drop phenomena were observed at the Longdong buoy in northeastern 9 Taiwan during 43 typhoons over the past 20 years (1998~2017). The mean SST drop (∆SST) 10 after a typhoon passage was 6.1 °C, and the maximum drop was 12.5 °C (Typhoon Fungwong 11 in 2008). -
Action Proposed
ESCAP/WMO Typhoon Committee FOR PARTICIPANTS ONLY Fiftieth Session WRD/TC.50/7.2 28 February - 3 March 2018 28 February 2018 Ha Noi, Viet Nam ENGLISH ONLY SUMMARY OF MEMBERS’ REPORTS 2017 (submitted by AWG Chair) Summary and Purpose of Document: This document presents an overall view of the progress and issues in meteorology, hydrology and DRR aspects among TC Members with respect to tropical cyclones and related hazards in 2017. Action Proposed The Committee is invited to: (a) take note of the major progress and issues in meteorology, hydrology and DRR aspects under the Key Result Areas (KRAs) of TC as reported by Members in 2017; and (b) review the Summary of Members’ Reports 2017 in APPENDIX B with the aim of adopting a “Executive Summary” for distribution to Members’ governments and other collaborating or potential sponsoring agencies for information and reference. APPENDICES: 1) Appendix A – DRAFT TEXT FOR INCLUSION IN THE SESSION REPORT 2) Appendix B – SUMMARY OF MEMBERS’ REPORTS 2017 1 APPENDIX A: DRAFT TEXT FOR INCLUSION IN THE SESSION REPORT 6.2 SUMMARY OF MEMBERS’ REPORTS 1. The Committee took note of the Summary of Members’ Reports 2017 as submitted for the 12th IWS in Jeju, Republic of Koreq, highlighting the key tropical cyclone impacts on Members in 2017 and the major activities undertaken by Members under the various KRAs and components during the year. 2. The Committee expressed its appreciation to AWG Chair for preparinG the Summary of Members’ Reports. It is noted the new KRA and supportinG Priorities structure contained developed in the new TC StrateGic Plan 2017-2021 caused some confusion in the format of the Member Reports. -
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. -
Science Discussion Started: 22 October 2018 C Author(S) 2018
Discussions Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2018-127 Earth System Manuscript under review for journal Earth Syst. Sci. Data Science Discussion started: 22 October 2018 c Author(s) 2018. CC BY 4.0 License. Open Access Open Data 1 Field Investigations of Coastal Sea Surface Temperature Drop 2 after Typhoon Passages 3 Dong-Jiing Doong [1]* Jen-Ping Peng [2] Alexander V. Babanin [3] 4 [1] Department of Hydraulic and Ocean Engineering, National Cheng Kung University, Tainan, 5 Taiwan 6 [2] Leibniz Institute for Baltic Sea Research Warnemuende (IOW), Rostock, Germany 7 [3] Department of Infrastructure Engineering, Melbourne School of Engineering, University of 8 Melbourne, Australia 9 ---- 10 *Corresponding author: 11 Dong-Jiing Doong 12 Email: [email protected] 13 Tel: +886 6 2757575 ext 63253 14 Add: 1, University Rd., Tainan 70101, Taiwan 15 Department of Hydraulic and Ocean Engineering, National Cheng Kung University 16 -1 Discussions Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2018-127 Earth System Manuscript under review for journal Earth Syst. Sci. Data Science Discussion started: 22 October 2018 c Author(s) 2018. CC BY 4.0 License. Open Access Open Data 1 Abstract 2 Sea surface temperature (SST) variability affects marine ecosystems, fisheries, ocean primary 3 productivity, and human activities and is the primary influence on typhoon intensity. SST drops 4 of a few degrees in the open ocean after typhoon passages have been widely documented; 5 however, few studies have focused on coastal SST variability. The purpose of this study is to 6 determine typhoon-induced SST drops in the near-coastal area (within 1 km of the coast) and 7 understand the possible mechanism. -
Quantification of Typhoon-Induced Phytoplankton Blooms Using
remote sensing Article Quantification of Typhoon-Induced Phytoplankton Blooms Using Satellite Multi-Sensor Data Jiayi Pan 1,2,3,* ID , Lei Huang 2, Adam T. Devlin 2 and Hui Lin 2 1 School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China 2 Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Hong Kong, China; [email protected] (L.H.); [email protected] (A.T.D.); [email protected] (H.L.) 3 Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen 518057, China * Correspondence: [email protected]; Tel.: +852-3943-1308 Received: 19 December 2017; Accepted: 16 February 2018; Published: 20 February 2018 Abstract: Using satellite-based multi-sensor observations, this study investigates Chl-a blooms induced by typhoons in the Northwest Pacific (NWP) and the South China Sea (SCS), and quantifies the blooms via wind-induced mixing and Ekman pumping parameters, as well as pre-typhoon mixed-layer depth (MLD). In the NWP, the Chl-a bloom is more correlated with the Ekman pumping than with the other two parameters, with an R2 value of 0.56. In the SCS, the wind-induced mixing and Ekman pumping have comparable correlations with the Chl-a increase, showing R2 values of 0.4~0.6. However, the MLD exhibits a negative correlation with the Chl-a increase. A multi-parameter quantification model of the Chl-a bloom strength achieves better results than the single-parameter regressions, yielding a more significant R2 value of 0.80, and a lower regression rms of 0.18 mg·m−3 in the SCS, and the R2 value in the NWP is also improved compared with the single-parameter regressions. -
China Date: 8 January 2007
Refugee Review Tribunal AUSTRALIA RRT RESEARCH RESPONSE Research Response Number: CHN31098 Country: China Date: 8 January 2007 Keywords: China – Taiwan Strait – 2006 Military exercises – Typhoons This response was prepared by the Country Research Section of the Refugee Review Tribunal (RRT) after researching publicly accessible information currently available to the RRT within time constraints. This response is not, and does not purport to be, conclusive as to the merit of any particular claim to refugee status or asylum. Questions 1. Is there corroborating information about military manoeuvres and exercises in Pingtan? 2. Is there any information specifically about the military exercise there in July 2006? 3. Is there any information about “Army day” on 1 August 2006? 4. What are the aquatic farming/fishing activities carried out in that area? 5. Has there been pollution following military exercises along the Taiwan Strait? 6. The delegate makes reference to independent information that indicates that from May until August 2006 China particularly the eastern coast was hit by a succession of storms and typhoons. The last one being the hardest to hit China in 50 years. Could I have information about this please? The delegate refers to typhoon Prapiroon. What information is available about that typhoon? 7. The delegate was of the view that military exercises would not be organised in typhoon season, particularly such a bad one. Is there any information to assist? RESPONSE 1. Is there corroborating information about military manoeuvres and exercises in Pingtan? 2. Is there any information specifically about the military exercise there in July 2006? There is a minor naval base in Pingtan and military manoeuvres are regularly held in the Taiwan Strait where Pingtan in located, especially in the June to August period. -
Member Report (Malaysia)
MEMBER REPORT (MALAYSIA) ESCAP/WMO Typhoon Committee 15th Integrated Workshop Video Conference 1-2 December 2020 Organised by Viet Nam Table of Contents I. Overview of tropical cyclones which have affected/impacted Malaysia in 2020 1. Meteorological Assessment (highlighting forecasting issues/impacts) 2. Hydrological Assessment (highlighting water-related issues/impact) (a) Flash flood in Kajang & Kuala Lumpur in July and September 2020 (b) Enhancement of Hydrological Data Management for DID Malaysia (c) Hydrological Instrumentation Updates for Malaysia (d) Drought Monitoring Updates 3. Socio-Economic Assessment (highlighting socio-economic and DRR issues/impacts) 4. Regional Cooperation Assessment (highlighting regional cooperation successes and challenges) II. Summary of progress in Priorities supporting Key Result Areas 1. Annual Operating Plan (AOP) for Working Group of Meteorology [AOP4: Radar Integrated Nowcasting System (RaINS)] 2. Annual Operating Plan (AOP) for Working Group of Hydrology (AOP2, AOP4, AOP5, AOP6) 3. The Government of Malaysia’s Commitment Towards Supporting the Sendai Framework for Disaster Risk Reduction I. Overview of tropical cyclones which have affected/impacted Malaysia in 2020 1. Meteorological Assessment (highlighting forecasting issues/impacts) During the period of 1 November 2019 to 31 October 2020, 27 tropical cyclones (TCs) formed over the Western Pacific Ocean, the Philippines waters as well as the South China Sea. Eight of the TCs entered the area of responsibility of the Malaysian Meteorological Department (MET Malaysia) as shown in Figure 1. The TCs, which consisted of seven typhoons and a tropical storm that required the issuance of strong winds and rough seas warnings over the marine regions under the responsibility of MET Malaysia, are listed in Table 1. -
Flood Control for the Red River [Vietnam]
Total Disaster Risk Management - Good Practices - Chapter 3 Vietnam Flood Control for the Red River The Red River, the Delta and Floods The history of the development of Vietnamese civilizations is closely linked to the Red River (Hong River) Delta. As the second largest granary of Vietnam, the Delta holds a significant meaning in the life of the Vietnamese people. This is where approximately 15–20 % of Vietnam’s rice is produced. A population of 17 million now inhabits the 16,500-km2 area of the Red River Delta. The catchment area of the Red River is estimated at 169,000 km2, half of which lies in China. The Red River at Hanoi comprises three major tributary systems, the Da, Thao and Lo Rivers. The river is the source of various positive aspects for human life, such as water resources and rich alluvium (it is called the Red River as the large amount of alluvium it carries colors it red all year round). However, these go hand in hand with a much less expected occurrence: floods. Increased flash floods as a result of deforestation in the upstream parts of the Red River basin, and raised bed levels of the rivers due to the deposition of sediment, are causing higher flood levels, endangering the ever increasing socio-economic value of the capital. The land in low-lying areas of the river delta is protected against flooding by river dyke systems. According to official historical records, in 1108, King Ly Nhan Tong ordered the construction of the first dyke with solid foundations on a large scale aimed at protecting the capital of Thang Long (now Hanoi). -
Second Lower Secondary Education for the Most Disadvantaged Areas Project: Thua Thien Hue Province Involuntary Resettlement
Classification: PUBLIC Involuntary Resettlement Due Diligence Report Report October 2020 VIE: Second Lower Secondary Education for the Most Disadvantaged Areas Project (LSEMDAP2) – Thua Thien Hue Province Prepared by the Ministry of Education and Training for the Socialist Republic of Vietnam and the Asian Development Bank. This information is being disclosed to the public in accordance with ADB’s Access to Information Policy. Classification: PUBLIC CURRENCY EQUIVALENTS (as of 31 August 2020) Currency unit – dong (VND) VND1.00 = $0.0000432 $1.00 = VND 23,166 ABBREVIATIONS ADB – Asian Development Bank CPMU – Central Project Management Unit EM – Ethnic Minorities EMSB – Ethnic Minority Semi Boarding LSEMDAP2 – Second Lower Secondary Education for the Most Disadvantaged Project LSS – Lower Secondary School LURP – Land Use Right Paper MOET – Ministry of Education and Training RP – Resettlement Plan WEIGHTS AND MEASURES m – meter m2 – square meter This involuntary resettlement due diligence report is a document of the borrower. The views expressed herein do not necessarily represent those of ADB's Board of Directors, Management, or staff, and may be preliminary in nature. In preparing any country program or strategy, financing any project, or by making any designation of or reference to a particular territory or geographic area in this document, the Asian Development Bank does not intend to make any judgments as to the legal or other status of any territory or area. This information is being disclosed to the public in accordance with ADB’s Access to Information Policy. Classification: PUBLIC VIE: Second Lower Secondary Education for the Most Disadvantaged Areas Project (LSEMDAP2) THUA THIEN HUE PROVINCE SUBPROJECT Nguyen Huu Dat Primary School And Lower Secondary School (batch 2) 1 This information is being disclosed to the public in accordance with ADB’s Access to Information Policy.