Practical applications of hazard maps for Planning, preparedness, - PowerPoint PPT Presentation

Practical applications of hazard maps for Planning, preparedness, response and risk communication Wei-Sen Li Secretary General, NCDR, Chinese Taipei Co-Chair, APEC Emergency Preparedness Working Group 2015/05/04, Lima, Peru Workshop on Promoting disaster risk management and hazard mapping to better understand potential risks to the supply chain

Outlines • Define “Hazard Maps”  Key elements, applications and Sendai Framework for Disaster Risk Reduction • Information intelligence comes from “Data integration”  A sample of data process for information intelligence • Cases of applications of hazard maps in Chinese Taipei  7 practical applications including typhoons, debris flow, landslides, floods, evacuation, hazard maps and community-based disaster risk management • Conclusions and future challenges  Dynamic information coverage  Embraces open data and big data

Answer vs. Solution For a solution, like hazard maps, On text book, only one answer overall understanding of risks is basic

Key elements of hazard maps • Information intelligence • Access to hazard maps  Data Organizing  Print-outs  Data Analyzing  Sign boards  Data warehousing  Web-based GIS  Data Presenting  Official sites or social media  “Extract”, “Transform” and “Load”  Any limitation to use • Basic type of data sets • Inclusive stakeholders  Physical vulnerabilities  Governments  Social vulnerabilities  Research institutes  Mystical events  NGOs, NPOs  Numerical models  Media, social media  Observations  Citizens

Applications of hazard maps • NOGs • Urban planning and land use  Risk communication at communities  To control risks  Easily understandable  Sustainability • Evacuation • Business continuity plan  To tell routes, shelters and risk  To protect employees, estates and potential profits  Clearly to take actions  Private sector’s involvement • Emergency operation • Drill  Decision making, common operating  To set up scenarios with different picture levels of risk  Integrated products  Connect all stakeholders • Risk assessment • Making plans  To be reference of insurance or risk  To enhance resilience, preparedness, identification responses and recovery  Prepare for multiple hazards  Before, during and after a disaster

Four priorities for next 15 years listed in the Sendai Framework for Disaster Risk Reduction Understanding disaster risk 01 01 Strengthening disaster risk governance to manage disaster risk 02 02 Investing in disaster risk reduction for resilience 03 03 Enhancing disaster preparedness for effective 04 04 response and “Build Back Better”

Outlines • Define “Hazard Maps”  Key elements, applications and Sendai Framework for Disaster Risk Reduction • Information intelligence comes from “Data integration”  A sample of data process for information intelligence • Cases of applications of hazard maps in Chinese Taipei  7 practical applications including typhoons, debris flow, landslides, floods, evacuation, hazard maps and community-based disaster risk management • Conclusions and future challenges  Dynamic information coverage  Embraces open data and big data

Why making use of data and information is critical – observations from Typhoon Marokot since 2009 Too much or too little information during emergency response • Channel to acquire useful information • System of systems to integrate information Lack of common operating picture to coordinate actions • Potential risk maps for planning • Situation maps for operation When and how to make timely decisions • No well-defined plans in advance • No experienced staff to make suggestions

“Cross-cutting Synergy” and “Information sharing” Weather • Forecasting • Potential path • Information intelligence Geo Flood  Action-based 2013 年蘇力颱風 • Debris flow warning • Warning • Slope land warning • Simulation  Multiple hazards • Road closure Apply – Provide situation  Refining data sets assessment system Value-added – Provide  Trans-agency Sharing early warning information Combine more than  Dynamically evolving 20 units, 120 maps （ Big Data ）  Interpreting  Presenting

Information flows and synergy for typhoon emergency operation

Outlines • Define “Hazard Maps”  Key elements, applications and Sendai Framework for Disaster Risk Reduction • Information intelligence comes from “Data integration”  A sample of data process for information intelligence • Cases of applications of hazard maps in Chinese Taipei  10 practical applications including typhoons, debris flow, landslides, floods, evacuation, hazard maps and community-based disaster risk management • Conclusions and future challenges  Dynamic information coverage  Embraces open data and big data

Early Warning System The early warning Process for the disasters assessment Flood Simulation Rainfall Forecast Typhoon Forecast Rapid Computing Impact Assessment 頭城鎮 The land use Categories of inundation area Suggestions 養殖 . 農業 Suao Township Yi-lan City 住宅 . 農業 農業 . 宜蘭市 林地 蘇澳鎮

Three principles to integrate information for typhoon emergency operation Estimate potential risk of landslide 2014, 07/23 06 ： 00 am  Scenario-based description for deployment and response in advance  Cross-cutting information High Risk exchange to monitor evolving situations  Graph and table plus GIS to show spatial and time- dependent factors 13

Demands and supports of S&T according to emergency operation stages 14

Application 1: Water Resources Agency – Flood Warning Estimated floods in Toucheng 24hrs based on forecast Warning Latest 24hr (200mm/24hr) issued by CBW Yilan County: Warning areas Toucheng Jiaoxi Zhuangwei Jiaoxi Yuanshan Yilan City Wujie Sanxin Luodong Dongshan Suao Major flooded areas Yilan City Yuanshan Wujie Luodong Flood Depth Sanxin Dongshan Suao 0.3-1.0 m 1.0-2.0 m 2.0-3.0 m > 3.0 m Yilan County 0.5-1.0 Disclosed info: time, locations and scientific scenario 15

Application 2: Soil and Water Conservation Bureau – Warning on debris flow Issuing Yellow Alert Issuing Red Alert 13 hours 17 hours 80 600 尖石鄉警戒值 Threshold of action: 300 mm 70 500 Yellow: Evacuation Preparation 小時雨量強度(mm/hr) 60 Red: Evacuation 有效累積雨量(mm) 400 50 40 300 30 200 20 7/11 20:30 7/11 8:30 Typhoon land warning Typhoon sea warning 100 Rainfall Rainfall 10 accumulation intensity 0 0 7/11 0:00 7/11 6:00 7/11 12:00 7/11 18:00 7/12 0:00 7/12 6:00 7/12 12:00 7/12 18:00 7/13 0:00 7/13 6:00 7/13 12:00 7/13 18:00 7/14 0:00 Time Date and Time Forecasts or observations of rain Warning on debris flow 7/12 14:00 24hr forecast on rain, 500-800mm Issue Yell Alert 7/12 20:00 Observation< 50mm Keep Yellow Alert 7/12 23:00 Observation reached 110mm Keep Yellow Alert 7/13 03:00 Observation > 300mm Issue Red Alert 16 Disclosed info: time, locations and scientific scenario

Application 3: Evidence-based emergency operation – Early evacuation Typhoon Kong-Rey in 2013 Scientific evidence to carry out early evacuation Potential Risk Map of Red alert debris flow at township level Forecast of rainfall Critical point at midnight Threshold value of debris flow Intensity of rainfall 200 mm accumulated rainfall in 24hrs The best period of time to evacuate residents Evidence-based emergency operation – Early evacuation Typhoon Kong-Rey in 2013

Case of successful early evacuation during Typhoon Fanapi , in Lai-Yi village, Sep. 2010 1. Buried house: 50 2. Causality: 0 2009 after Typhoon Morakot 照片來源：水保局 9/18 9/19 05:30 08:40 15:00 23:00 14:00 Issue land Early Evacuation Typhoon Landside warning warning operation landfall time in Lai-Yi 32 hours ahead 18

Progressive Improvements for Typhoons in Chinese Taipei NCDR Evacuation Max.Intensity Accumulated Ceased or Missing Typhoon Joined EOC (mm/hr) Rainfall (mm) (Person) (Person) 2001.07.28 Toraji 147 757 ---- 214 2001.09.17 Nari 142 1,462 24,000 104 2004.06.30 Mindulle 167 2,005 9,500 41 2005.07.18 Haitang 177 2,124 1,208 15 2005.09.01 Talim 119 766 1207 6 2005.10.02 LongWang 154 776 945 2 2006.07.12 Bilis 95 1,013 409 3 2007.08.16 Sepat 122 1,399 2,531 1 2008.07.16 Kalmaegi 161 1,027 179 26 Compound Disaster 2008.07.28 Fung-Wong 121 830 1,303 2 2008.09.10 Sinlaku 97 1,608 1,987 22 Compound Disaster 2008.09.27 Jangmi 85 1,137 3,361 4 Compound Disaster 2009.08.07 Morakot 100 2,965 24,775 695 Extreme weather 2010.09.19 Fanapi 125 1,128 16,568 2 2010.10.21 Megi 183 1,195 3,453 38 Compound Disaster 19

Application 4: Directorate General of Highways – Automation on monitoring risk highways Sorting sensitive slopes Stage 1 Risk identification Screening high risk highways based on hourly rainfall data “ 台 21 線那瑪夏 210k” 路段現 ” 紅 色 ” 強降雨 , 該路 Stage 2 段屬 ”A” 級邊坡 , 最近一次致災記 Alert dispatch 錄係 ”102 潭美颱 風便橋沖毀 ” 發生 4 級有感地震 Alert Monitoring riks If risk reaches level B, send alert 20