Projected changes in meteorological drought over East Africa inferred from bias-adjusted CMIP6 models [0.03%]
基于偏差校正的CMIP6模式对未来东非气象干旱的变化预估
Brian Ayugi,Zablon Weku Shilenje,Hassen Babaousmail et al.
Brian Ayugi et al.
The ongoing global warming has caused unprecedented changes in the climate system, leading to an increase in the intensity and frequency of weather and climate extremes. This study uses the sixth phase of Coupled Model Intercomparison Proje...
Accuracy of a pre-trained sentiment analysis (SA) classification model on tweets related to emergency response and early recovery assessment: the case of 2019 Albanian earthquake [0.03%]
预训练情感分析分类模型在与应急响应和早期恢复评估相关推文中的准确性：2019年阿尔巴尼亚地震案例研究
Diana Contreras,Sean Wilkinson,Evangeline Alterman et al.
Diana Contreras et al.
Traditionally, earthquake impact assessments have been made via fieldwork by non-governmental organisations (NGO's) sponsored data collection; however, this approach is time-consuming, expensive and often limited. Recently, social media (SM...
Review on visualization technology in simulation training system for major natural disasters [0.03%]
重大自然灾害仿真训练系统中的可视化技术综述
Ning Li,Na Sun,Chunxia Cao et al.
Ning Li et al.
Major natural disasters have occurred frequently in the last few years, resulting in increased loss of life and economic damage. Most emergency responders do not have first-hand experience with major natural disasters, and thus, there is an...
Modelling a community resilience index for urban flood-prone areas of Kerala, India (CRIF) [0.03%]
印度喀拉拉邦城市易洪区社区韧性指数模型(CRIF)研究
Sameer Ali,Abraham George
Sameer Ali
Communities are ever-evolving, cities are constantly expanding, and the threat of natural hazards has escalated like never before. Cities can develop and prosper only if their society is resilient to external shocks. Measuring community res...
Identifying factors contributing to social vulnerability through a deliberative Q-Sort process: an application to heat vulnerability in Taiwan [0.03%]
通过协商的Q-排序过程识别社会脆弱性因素——应用于台湾的热脆弱性研究
Leslie Mabon,Wan-Yu Shih
Leslie Mabon
Extreme heat events are gaining ever more policy and societal attention under a warming climate. Although a breadth of expertises are required to understand drivers of vulnerability to hazards such as extreme heat, it is also acknowledged t...
Testing the public's response to receiving severe flood warnings using simulated cell broadcast [0.03%]
利用模拟小区广播测试公众对严重洪水预警的反应
Kate R Smith,Silvia Grant,Robert E Thomas
Kate R Smith
European Governments must implement a public alerting system to reach mobile phone users affected by major emergencies and disasters by June 2022. Cell Broadcast is used to issue emergency alerts in several countries but has not yet been in...
Sophie-Bo Heinkel,Benni Thiebes,Zin Mar Than et al.
Sophie-Bo Heinkel et al.
Resilience has become important in disaster preparedness and response. Unfortunately, little is known about resilience at the household level. This study presents the results of a survey into individual and household level preparedness to d...
Digital twin-driven intelligence disaster prevention and mitigation for infrastructure: advances, challenges, and opportunities [0.03%]
基于数字孪生的基础设施智能防灾减灾：进展、挑战与机遇
Dianyou Yu,Zheng He
Dianyou Yu
Natural hazards, which have the potential to cause catastrophic damage and loss to infrastructure, have increased significantly in recent decades. Thus, the construction demand for disaster prevention and mitigation for infrastructure (DPMI...
Critical gaps and implications of risk communication in the global agreements-SFDRR, SDGs, and UNFCCC: 3 select case studies from urban areas of tropics in South Asia [0.03%]
全球协议中的风险沟通的关键缺口及其对SDRR、SDGs和UNFCCC的影响：南亚热带地区城市中所选案例研究
Shabana Khan,Jyoti Mishra
Shabana Khan
There has been a consistent rise in urban disasters, particularly in developing countries located in tropical areas. Among various challenges of disaster risk management and climate change impacts, it is noted that most residents are poorly...
Early detection of emergency events from social media: a new text clustering approach [0.03%]
社交媒体中的突发事件的早期检测：一种新的文本聚类方法
Lida Huang,Panpan Shi,Haichao Zhu et al.
Lida Huang et al.
Emergency events require early detection, quick response, and accurate recovery. In the era of big data, social media users can be seen as social sensors to monitor real-time emergency events. This paper proposed an integrated approach to d...