Are Value Stocks More Exposed to Disaster Risk? Evidence from Extreme Weather Events

2017 ◽  
Author(s):  
Matthew G. Lanfear ◽  
Abraham Lioui ◽  
Mark Siebert
Keyword(s):  
Disaster Risk ◽  
Extreme Weather ◽  
Extreme Weather Events ◽  
Value Stocks ◽  
Weather Events

scholarly journals Early warning system on extreme weather events for disaster risk reduction

2019 ◽  
pp. 80-87
Author(s):  
Jacipt Alexander Ramón-Valencia ◽  
Jordi Rafael Palacios-González ◽  
Germán Rircardo Santos-Granados ◽  
Jarol Derley Ramón-Valencia
Keyword(s):  
Risk Management ◽  
Risk Reduction ◽  
Early Warning ◽  
Early Warning System ◽  
Disaster Risk Reduction ◽  
Warning System ◽  
Disaster Risk ◽  
Extreme Weather ◽  
Extreme Weather Events ◽  
Weather Events

The objective of this research was to propose a strategy based on the design and implementation of an early warning system (EWS) for extreme weather events. This project had the following phases: training for municipal and regional actors, preliminary technical diagnosis of the study areas, monitoring network, and the weather forecasts using numerical models WRF and GFS. This EWS is the result of the Macro-project EWS for Climate Events in the basins of the Pamplonita River and Zulia in the North of Santander (SATC), executed by the University of Pamplona and financed by the National Risk Management Unit (UNGRD) and the German Cooperation Agency (GIZ). The research concluded that the application of a disaster risk reduction strategy through an EWS for extreme weather events is an important tool and instrument for the planning of higher risk management because it helps anticipate disasters and consequently preserve lives.

scholarly journals Identifying agricultural disaster risk zones for future climate actions

PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0260430
Author(s):  
Nkongho Ayuketang Arreyndip
Keyword(s):  
Agricultural Production ◽  
Strong Dependence ◽  
Agricultural Practices ◽  
Disaster Risk ◽  
Extreme Weather ◽  
Sub Saharan Africa ◽  
Extreme Weather Events ◽  
Trade Network ◽  
Weather Events ◽  
Sub Saharan

Identifying agricultural disaster risk regions before the occurrence of climate-related disasters is critical for early mitigation planning. This paper aims to identify these regions based on data from the Food and Agriculture Organization of the United Nations (FAO), the bilateral and multilateral trade network data of the World Integrated Trade Solution(WITS) and the agent-based economic model Acclimate. By applying a uniform forcing across agricultural sectors of some breadbasket regions (US, EU and China), when single and simultaneous extreme weather events occur, such as the 2018 European heatwave, production and consumption value losses and gains are calculated at regional and global levels. Comparing the FAO data sets, WITS, and Acclimate’s production value losses, the results show a strong dependence of agricultural production losses on a region’s output and connectivity level in the global supply and trade network. While India, Brazil, Russia, Canada, Australia, and Iran are highly vulnerable, the imposition of export restrictions to compensate for demand shortfalls makes Sub-Saharan Africa the most vulnerable region, as it is heavily dependent on agricultural imports. In addition, simultaneous extreme weather events can exacerbate the loss of value of agricultural production relative to single extreme weather events. Agricultural practices to increase production such as smart farming, increased investment in plantation agriculture, and diversification of trading partners can help mitigate future food security risks in Sub-Saharan Africa and other agricultural import-dependent regions.

scholarly journals Market anomalies and disaster risk: Evidence from extreme weather events

2019 ◽  
Vol 46 ◽  
pp. 100477 ◽  
Author(s):  
Matthew G. Lanfear ◽  
Abraham Lioui ◽  
Mark G. Siebert
Keyword(s):  
Disaster Risk ◽  
Extreme Weather ◽  
Extreme Weather Events ◽  
Market Anomalies ◽  
Weather Events

Reliability, Resilience and the Oncoming Wave of Retiring Baseload Units, Volume I: The Critical Role of Thermal Units During Extreme Weather Events

2018 ◽  
Author(s):  
Peter C. Balash, PhD ◽  
Kenneth C. Kern ◽  
John Brewer ◽  
Justin Adder ◽  
Christopher Nichols ◽  
...  
Keyword(s):  
Critical Role ◽  
Extreme Weather ◽  
Extreme Weather Events ◽  
Weather Events

An Open Source Approach for Watershed's Delimitation to Support Flood Monitoring

2016 ◽  
Vol 7 (4) ◽  
pp. 77-88
Author(s):  
Tiago Carvalho ◽  
Leonardo B. L. Santos ◽  
Eduardo F. P. Luz ◽  
Rogério Ishibashi ◽  
Aurelienne A. S. Jorge ◽  
...  
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Disaster Risk Reduction ◽  
Methodological Approach ◽  
Disaster Risk ◽  
Extreme Weather Events ◽  
Suggested Approach ◽  
Weather Events ◽  
Flood Monitoring ◽  
Extreme Rain

In the last years, natural disasters have become more frequent and their impacts have reached a large number of people. When these events happen in unprepared regions, they can cause human and material losses. The consequences can be even more catastrophic when the responsible entities are not properly prepared. To minimize the impacts of extreme weather events, especially extreme rain which can trigger severe floods, this paper proposes a methodological approach to monitor floods through open source software, based on watershed's delineation. The suggested approach can be a tool to support disaster risk reduction planning.

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