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相关论文: Predicting Drought and Subsidence Risks in France

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Drought events are the second most expensive type of natural disaster within the French legal framework known as the natural disasters compensation scheme. In recent years, drought events have been remarkable in their geographical scale and…

应用统计 · 统计学 2023-03-23 Geoffrey Ecoto , Antoine Chambaz

According to the United Nations Office for Disaster Risk Reduction (2025), the average annual cost of natural catastrophes increased from 70--80 billion USD between 1970 and 2000 to 180--200 billion USD between 2001 and 2020. Reports from…

机器学习 · 计算机科学 2026-05-11 Antoine Heranval , Olivier Lopez , Didier Ngatcha , Daniel Nkameni

Insurance industry is one of the most vulnerable sectors to climate change. Assessment of future number of claims and incurred losses is critical for disaster preparedness and risk management. In this project, we study the effect of…

应用统计 · 统计学 2021-03-17 Asim K. Dey , Vyacheslav Lyubchich , Yulia R. Gel

Floods rank among the costliest natural hazards, causing over USD 100 billion in insured losses between 2013 and 2023. In France, persistent deficits in the natural catastrophe scheme highlight the need for accurate, building-scale flood…

应用统计 · 统计学 2026-03-04 Mulah Moriah , Franck Vermet , Pierre Ailliot , Philippe Naveau , Juliette Legrand

Climate change is expected to increase the likelihood of drought events, with severe implications for food security. Unlike other natural disasters, droughts have a slow onset and depend on various external factors, making drought detection…

Climate extreme events are constantly increasing. What is the effect of these potentially catastrophic events on insurance demand in Italy, with particular reference to the economic activities? Extreme precipitation events over most of the…

综合金融 · 定量金融 2014-06-17 Alessandro Chieppa , Andrea Ricca , Gianluca Rosso

As drought is among the natural hazards which affects people and economies worldwide and often results in huge monetary losses sophisticated methods for drought monitoring and decision making are needed. Several different approaches to…

应用统计 · 统计学 2015-08-27 Tobias M. Erhardt , Claudia Czado

Accurate electricity demand forecasting is crucial to meet energy security and efficiency, especially when relying on intermittent renewable energy sources. Recently, massive savings have been observed in Europe, following an unprecedented…

应用统计 · 统计学 2026-05-05 Nathan Doumèche , Yann Allioux , Yannig Goude , Stefania Rubrichi

Extreme weather events are becoming more common, with severe storms, floods, and prolonged precipitation affecting communities worldwide. These shifts in climate patterns pose a direct threat to the insurance industry, which faces growing…

应用统计 · 统计学 2026-01-21 Asim K. Dey

Most contemporary mortality models rely on extrapolating trends or past events. However, population dynamics will be significantly impacted by climate change, notably the influence of temperatures on mortality. In this paper, we introduce a…

应用统计 · 统计学 2025-02-04 Quentin Guibert , Gaëlle Pincemin , Frédéric Planchet

Drought is a serious natural disaster that has a long duration and a wide range of influence. To decrease the drought-caused losses, drought prediction is the basis of making the corresponding drought prevention and disaster reduction…

机器学习 · 计算机科学 2022-07-08 Weiwei Jiang , Jiayun Luo

Drought has been perceived as a persistent threat globally and the complex mechanism of various factors contributing to its emergence makes it more troublesome to understand. Droughts and their severity trends have been a point of concern…

计算机与社会 · 计算机科学 2024-11-08 Ujjwal , Shikha C. Patel , Bansari K. Shah , Nicholas Ogbonna , Huthaifa I Ashqar

Renewable energy is becoming an increasingly important component of energy systems. However, renewable energy production is heavily dependent on the prevailing weather conditions, which are changing as a result of climate change. It is…

大气与海洋物理 · 物理学 2024-12-02 Edgar Dolores-Tesillos , Noelia Otero , Sam Allen

Drought is one of the most destructive and expensive natural disasters, severely impacting natural resources and risks by depleting water resources and diminishing agricultural yields. Under climate change, accurately predicting drought is…

机器学习 · 计算机科学 2024-12-20 Xuwei Tan , Qian Zhao , Yanlan Liu , Xueru Zhang

Flood risk changes in time and is influenced by both natural and socio-economic trends and interactions. In Europe, previous studies of historical flood losses corrected for demographic and economic growth ("normalized") have been limited…

Over the past three decades, extreme climate events have caused losses of worth USD 4.5 trillion. Using collective bargaining model, I find that the gendered labour supply response to adverse shocks is not straightforward since it depends…

综合经济学 · 经济学 2026-04-10 Jheelum Sarkar

Natural disasters, such as tornadoes, floods, and wildfire pose risks to life and property, requiring the intervention of insurance corporations. One of the most visible consequences of changing climate is an increase in the intensity and…

风险管理 · 定量金融 2020-08-11 Thilini V. Mahanama , Abootaleb Shirvani

Earlier meta-analyses of the economic impact of climate change are updated with more data, with three new results: (1) The central estimate of the economic impact of global warming is always negative. (2) The confidence interval about the…

综合经济学 · 经济学 2022-08-30 Richard S. J. Tol

Understanding droughts in a climate context remains a major challenge. Over the United States, different choices of observations and metrics have often produced diametrically opposite insights. This paper focuses on understanding and…

大气与海洋物理 · 物理学 2015-12-31 Poulomi Ganguli , Auroop R. Ganguly

Drought has become a critical global threat with significant societal impact. Existing drought monitoring solutions primarily focus on assessing drought severity using quantitative measurements, overlooking the diverse societal impact of…

社会与信息网络 · 计算机科学 2024-12-18 Lanyu Shang , Bozhang Chen , Shiwei Liu , Yang Zhang , Ruohan Zong , Anav Vora , Ximing Cai , Na Wei , Dong Wang
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