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Challenges with Disaster Mortality Data and Measuring Progress Towards the Implementation of the Sendai Framework

International Journal of Disaster Risk Science 2019年第4期10卷 449-461页

作者： Helen K.Green Oliver Lysaght Dell D.Saulnier Kevin Blanchard Alistair Humphrey bapon fakhruddin Virginia Murray Global Disaster Risk Reduction Public Health EnglandLondon SE18UGUK Department of Public Health Sciences Karolinska Institutet17177 StockholmSweden Canterbury District Health Board Christchurch 8140New Zealand Disaster Risk Reduction and Climate Resilience Tonkin+TaylorAuckland 1141New Zealand

Disasters exact a heavy toll ***,the degree to which we can accurately quantify their impact,in particular mortality,remains *** is critical to ensure that disaster data reliably reflects the scale,type,and distribution of disaster impacts given the role of data in:(1)risk assessments;(2)developing disaster risk management programs;(3)determining the resources for response to emergencies;(4)the types of action undertaken in planning for prevention and preparedness;and(5)identifying research *** Sendai Framework for Disaster Risk Reduction 2015–2030 s seven global disaster-impact reduction targets represent the first international attempt to systematically measure the effectiveness of disaster-impact reduction as a means of better informing policy with *** A of the Sendai Framework aims to‘‘substantially reduce global disaster mortality by 2030,aiming to lower the average per 100,000 global mortality rate in the decade 2020–2030 compared to the period 2005–2015.’’This article provides an overview of the complexities associated with defining,reporting,and interpreting disaster mortality data used for gauging success in meeting Target A,acknowledging different challenges for different types of hazard events and subsequent *** concludes with suggestions of how to address these challenges to inform the public health utility of monitoring through the Sendai Framework.

关键词： Data Disaster mortality Disaster risk management Disaster risk reduction Mass casualty Sendai Framework

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Rapid damage mapping and loss data collection for natural disasters:Case study from Kaikoura earthquake,New Zealand

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中国科学数据（中英文网络版） 2018年第4期3卷 128-137页

作者： bapon fakhruddin Li Guoqing Rebekah Robertson Linked Open Data for Global Disaster Risk Research(LODGD)of CODATA Tonkin+Taylor International Auckland 1023New Zealand Institute of Remote Sensing and Digital Earth Chinese Academy of SciencesBeijing 100094P.R.China

On November 14,2016(NZDT),a 7.8 magnitude earthquake struck the northeast coast of the South Island in New Zealand.A tsunami swept onto the coastlines with wave-heights of 2.5 m at *** earthquake is the largest event in the region since a magnitude 7.5 earthquake that occurred 100 km to the northeast in October *** days immediately following a natural disaster are particularly challenging for authorities and aid organisations who need to make decisions relating to deployment and distribution of *** Damage Mapping(RDM)is a tool developed by Tonkin+Taylor International Limited(T+TI)whereby integrated disaster mapping information is assembled within the first 24 to 72 hrs of an *** Committee on Data of the International Council for Science(CODATA)Task Group of Linked Open Data for Global Disaster Risk Research(LODGD)organized ChinaGEOSS portal to access TripleSat and JL-1 satellite images immediately following the devastating Kaikoura *** internet based Project Orbit portal was set up for use by all response and recovery organisations in New *** the recent RDM response work was largely reactive in nature,the data set compiled during this work provides a valuable resource,presenting opportunities to apply a more proactive and refined approach to similar RDM work in the *** recent RDM work provides valuable insight into key vulnerabilities that evolved after the earthquake,and helped to identify more than 10,000 landslips in the area.

关键词： rapid damage mapping earthquake risk reduction

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