scholarly journals Silver Lining to Extreme Weather Events? Democracy and Climate Change Mitigation

2020 ◽  
pp. 1-31
Author(s):  
Lauri Peterson
Keyword(s):  
Climate Change ◽  
Forest Fires ◽  
Common Good ◽  
Large Scale ◽  
Extreme Weather ◽  
Extreme Weather Events ◽  
Individual Country ◽  
Country Level ◽  
Weather Events ◽  
The Impact

Long-standing meteorological research has established that anthropogenic climate change increases the risk and intensity of extreme weather events, such as tropical cyclones, floods, and forest fires. However, comparatively little is known about the impact of such events on policy ambition. Studies on the topic emerged only recently and tend to focus on individual country cases. A comprehensive cross-country perspective is still missing. This article addresses the gap in the literature using large-scale analyses on the basis of country-level data from 2008 to 2017. The findings indicate that extreme weather events propel only highly functioning democracies to tackle climate change. Effects among remaining country cases are insignificant. This variation in the data can be attributed to democracies’ concern for the common good and the perspectives of those most affected by climate-related disasters.

On the Rainfall Induced Shallow and Deep-seated Landslide Hazard in Central Taiwan

2020 ◽  
Author(s):  
Keh-Jian Shou
Keyword(s):  
Climate Change ◽  
General Circulation ◽  
Large Scale ◽  
Slope Angle ◽  
Extreme Weather ◽  
Tectonic Activity ◽  
Extreme Weather Events ◽  
Weather Events ◽  
The Future ◽  
The Impact

<p>Due to active tectonic activity, the rock formations are young and highly fractured in Taiwan area. The dynamic changing of river morphology makes the highly weathered formations or colluviums prone to landslide and debris flow. In addition, due to the impact of 1999 Chi-Chi earthquake, the hazards of landslides and debris flows were significantly increased. For the past decade, the effect of climate change is significant and creates more and more extreme weather events. The change of rainfall behavior significantly changes the landslide behavior, which makes the large-scale landslides, like the Shiaolin landslide, possible. Therefore, it is necessary to develop the new technologies for large-scale landslide investigation, monitoring, analysis, early warning, etc.</p><p>Since the landslide hazards are mainly induced by heavy rainfall, due to climate change and the subsequent extreme weather events, the probability of large-scale landslides is also increased. Focusing on the slate formation area in the upstreams of the Tachia River, Wu River, and Chuoshui River, this project studied the behavior and hazard of shallow and deep-seated landslides. This study adopts the SHALSTAB model with the consideration of slope angle to classify the landslides, and then established the landslide susceptibility models based on the classified landslide inventories. Different types of susceptibility models in different catchment scales were tested, in which the control factors were analyzed and discussed. This study also employs rainfall frequency analysis together with the atmospheric general circulation model (AGCM) downscaling estimation to predict the extreme rainfalls in the future. Such that the future hazard of the shallow and deep-seated landslide in the study area can be predicted. The results of predictive analysis can be applied for risk prevention and management in the study area.</p>

On the Landslide Hazard with the Impact of Climate Change in Central Taiwan

2020 ◽  
Author(s):  
Keh-Jian Shou
Keyword(s):  
Climate Change ◽  
General Circulation ◽  
Extreme Weather ◽  
Tectonic Activity ◽  
Extreme Weather Events ◽  
Weather Events ◽  
The Future ◽  
Central Taiwan ◽  
The Impact ◽  
Taiwan Area

<p>Due to active tectonic activity, the rock formations are young and highly fractured in Taiwan area. The dynamic changing of river morphology makes the highly weathered formations or colluviums prone to landslide and debris flow. For the past decade, the effect of climate change is significant and creates more and more extreme weather events. The change of rainfall behavior significantly changes the landslide behavior, which makes the large-scale landslides, like the Shiaolin landslide, possible. Therefore, it is necessary to develop the new technologies for landslide investigation, monitoring, analysis, early warning, etc.</p><p>Since the landslide hazards in Taiwan area are mainly induced by heavy rainfall, due to climate change and the subsequent extreme weather events, the probability of landslides is also increased. Focusing on the upstreams of the watersheds in Central Taiwan, this project studied the behavior and hazard of shallow and deep-seated landslides. Different types of susceptibility models in different catchment scales were tested, in which the control factors were analyzed and discussed. This study also employs rainfall frequency analysis together with the atmospheric general circulation model (AGCM) downscaling estimation to predict the extreme rainfalls in the future. Such that the future hazard of the shallow and deep-seated landslide in the study area can be predicted. The results of predictive analysis can be applied for risk prevention and management in the study area.</p>

The Impact of Disasters on Japan’s Inbound Tourism Demand

2014 ◽  
Vol 9 (sp) ◽  
pp. 699-708 ◽  
Author(s):  
Lihui Wu ◽  
◽  
Haruo Hayashi ◽  
Keyword(s):  
Large Scale ◽  
Moving Average ◽  
Geographical Location ◽  
Extreme Weather ◽  
Extreme Weather Events ◽  
Tourism Demand ◽  
Intervention Models ◽  
Weather Events ◽  
Inbound Tourism ◽  
The Impact

The purpose of this study is to explore the impact of disasters on international tourism demand for Japan by applying Autoregressive Integrated Moving Average (ARIMA) intervention models that focus on evaluating change patterns and the duration of effects by observing variations in parameters. Japan suffered a variety of disasters, especially natural disasters due to its geographical location, so we have divided these disasters into three types: geological disasters, extreme weather events and “others” such as terrorist attacks, infectious diseases, and economic crises. Based on the principle of preparing for the worst, we selected 4 cases for each disaster type, for 12 in all. Results suggest that (1) large-scale disasters such as great earthquakes impacted negatively on inbound tourism demand for Japan; (2) not all disasters resulted in an abrupt drop in inbound tourist arrivals, extreme weather events, for example, did not decrease inbound tourism demand significantly; (3) impact caused by disasters was temporary.

scholarly journals On the attribution of the impacts of extreme weather events to anthropogenic climate change

2021 ◽  
Author(s):  
Sarah E Perkins-Kirkpatrick ◽  
Daithi Stone ◽  
Dann M. Mitchell ◽  
Suzanne M. Rosier ◽  
Andrew David King ◽  
...  
Keyword(s):  
Climate Change ◽  
Climate Model ◽  
Anthropogenic Impacts ◽  
Extreme Weather ◽  
Anthropogenic Climate Change ◽  
Extreme Weather Events ◽  
Climate Change Signal ◽  
Care Needs ◽  
Weather Events ◽  
The Impact

Abstract Investigations into the role of anthropogenic climate change in extreme weather events are now starting to extend into analysis of anthropogenic impacts on non-climate (e.g. socio-economic) systems. However, care needs to be taken when making this extension, because methodological choices regarding extreme weather attribution can become crucial when considering the events’ impacts. The fraction of attributable risk (FAR) method, useful in extreme weather attribution research, has a very specific interpretation concerning a class of events, and there is potential to misinterpret results from weather event analyses as being applicable to specific events and their impact outcomes. Using two case studies of meteorological extremes and their impacts, we argue that FAR is not generally appropriate when estimating the magnitude of the anthropogenic signal behind a specific impact. Attribution assessments on impacts should always be carried out in addition to assessment of the associated meteorological event, since it cannot be assumed that the anthropogenic signal behind the weather is equivalent to the signal behind the impact because of lags and nonlinearities in the processes through which the impact system reacts to weather. Whilst there are situations where employing FAR to understand the climate change signal behind a class of impacts is useful (e.g. “system breaking” events), more useful results will generally be produced if attribution questions on specific impacts are reframed to focus on changes in the impact return value and magnitude across large samples of factual and counterfactual climate model and impact simulations. We advocate for constant interdisciplinary collaboration as essential for effective and robust impact attribution assessments.

scholarly journals Community resilience and urban core shelter implementation: A Wellington case study

2021 ◽  
Author(s):  
◽  
Ralph Peter Titmuss
Keyword(s):  
Climate Change ◽  
Disaster Response ◽  
Large Scale ◽  
Community Resilience ◽  
Extreme Weather ◽  
Extreme Weather Events ◽  
Indian Ocean Tsunami ◽  
Building Stock ◽  
Weather Events ◽  
The World

<p>As a result of climate change, extreme weather events are becoming more common around the world. Coupled with the ever-present threat of sea level rise that coastal cities face there is a potential for far more severe weather events to occur. This thesis will seek to understand how an existing city can adapt to a more hostile environment, and how in the event of an extreme weather occurrence it maintains its function. There is an urgent need to understand how a city can respond when faced with these situations. Previous extreme weather events, Katrina, the Indian Ocean tsunami, and extreme flooding around the world, highlight the danger of a lack of preparedness and resilience found in most cities.  The purpose of this thesis is to understand how the concept of a core shelter, as a way to address the threats of extreme weather events, can be applied to a well-established urban context, Wellington NZ. A core shelter is a structure that in the event of a large-scale disaster, protects its users, and post-disaster still reaches permanent housing standards without being deemed to be a permanent dwelling. It will also look at whether it is possible to create areas in an existing city that can be considered “safe havens” in the event of an extreme natural incident.  This thesis outlines the need for these shelters by identifying the potential threats of climate change in a Wellington context, and by understanding the vulnerability of Wellington’s current building stock. It reaches a conclusion that through the implementation of core shelters in Wellington NZ, resilience will be improved, disaster response efforts will be aided, and destruction arising from extreme weather events will be reduced. In addition, it identifies the areas of Wellington that are deemed to be of higher risk in a disaster or extreme weather event, analyses an existing building’s potential to become a community resilience/core shelter, and proposes a custom building that could be built on Leeds St and Ghuznee St.</p>

Analysis of Flood Vulnerability and Transit Availability with a Changing Climate in Harris County, Texas

2019 ◽  
Vol 2673 (6) ◽  
pp. 258-266 ◽  
Author(s):  
Joshua A. Pulcinella ◽  
Arne M. E. Winguth ◽  
Diane Jones Allen ◽  
Niveditha Dasa Gangadhar
Keyword(s):  
Climate Change ◽  
Sea Level Rise ◽  
Sea Level ◽  
Storm Surge ◽  
Extreme Weather ◽  
Extreme Weather Events ◽  
Harris County ◽  
Weather Events ◽  
Block Groups ◽  
The Impact

Hurricanes and other extreme precipitation events can have devastating effects on population and infrastructure that can create problems for emergency responses and evacuation. Projected climate change and associated global warming may lead to an increase in extreme weather events that results in greater inundation from storm surges or massive precipitation. For example, record flooding during Hurricane Katrina or, more recently, during Hurricane Harvey in 2017, led to many people being cut off from aid and unable to evacuate. This study focuses on the impact of severe weather under climate change for areas of Harris County, TX that are susceptible to flooding either by storm surge or extreme rainfall and evaluates the transit demand and availability in those areas. Future risk of flooding in Harris County was assessed by GIS mapping of the 100-year and 500-year FEMA floodplains and most extreme category 5 storm tide and global sea level rise. The flood maps have been overlaid with population demographics and transit accessibility to determine vulnerable populations in need of transit during a disaster. It was calculated that 70% of densely populated census block groups are located within the floodplains, including a disproportional amount of low-income block groups. The results also show a lack of transit availability in many areas susceptible to extreme storm surge exaggerated with sea level rise. Further study of these areas to improve transit infrastructure and evacuation strategies will improve the outcomes of extreme weather events in the future.

scholarly journals Establishing an operational system for assessment and forecasting the impact of extreme weather events on crop production

MAUSAM ◽  
2021 ◽  
Vol 67 (1) ◽  
pp. 289-296
Author(s):  
SHIBENDU S. RAY ◽  
SURESH K. SINGH ◽  
NEETU . ◽  
S. MAMATHA
Keyword(s):  
Remote Sensing ◽  
Case Studies ◽  
Crop Production ◽  
Large Scale ◽  
Extreme Weather ◽  
Extreme Weather Events ◽  
Wheat Crop ◽  
Production Forecasting ◽  
Weather Events ◽  
The Impact

Crop production forecasting is essential for various economic policy and decision making. There is a very successful operational programme in the country, called FASAL, which uses multiple approaches for pre-harvest production forecasting.  With the increase in the frequency of extreme events and their large-scale impact on agriculture, there is a strong need to use remote sensing technology for assessing the impact.  Various works have been done in this direction. This article provides three such case studies, where remote sensing along with other data have been used for assessment of flood inundation of rice crop post Phailin cyclone, period operational district/sub-district level drought assessment and understanding the impact of recent hailstorm/unseasonal rainfall on wheat crop. The case studies highlight the great scope of remote sensing data for assessment of the impact of extreme weather events on crop production.

Potential Impact of Climate Change on Tanker Design

2011 ◽  
Author(s):  
Elzbieta M. Bitner-Gregersen ◽  
Torfinn Ho̸rte ◽  
Rolf Skjong
Keyword(s):  
Climate Change ◽  
Wave Climate ◽  
Offshore Structures ◽  
Extreme Weather ◽  
Structure Design ◽  
Extreme Weather Events ◽  
Future Research ◽  
Research Activities ◽  
Weather Events ◽  
The Impact

Global warming and extreme weather events reported in the last years have attracted a lot of attention in academia, industry and media. The ongoing debate around the observed climate change has focused on three important questions: will occurrence of extreme weather events increase in the future, which geographical locations will be most affected, and to what degree will climate change have impact on future ship traffic and design of ships and offshore structures? The present study shortly reviews the findings of the Intergovernmental Panel on Climate Change Fourth Assessment Report, AR4, [1] and other relevant publications regarding projections of meteorological and oceanographic conditions in the 21st century and beyond with design needs in focus. Emphasis is on wave climate and its potential implications on safe design and operations of ship structures. A risk based approach for marine structure design accounting for climate change is proposed. The impact of expected wave climate change on ship design is demonstrated for five oil tankers, ranging from Product tanker to VLCC. Consequences of climate change for the hull girder failure probability and hence the steel weight of the deck in the midship region is shown. Recommendations for future research activities allowing adaptation to climate change are given.

scholarly journals The Impact of Climate Change on the Food System in Toronto

2018 ◽  
Vol 15 (11) ◽  
pp. 2344 ◽  
Author(s):  
Kimberly Zeuli ◽  
Austin Nijhuis ◽  
Ronald Macfarlane ◽  
Taryn Ridsdale
Keyword(s):  
Climate Change ◽  
Food Access ◽  
Food System ◽  
Extreme Weather ◽  
Food Distribution ◽  
Extreme Weather Events ◽  
Weather Events ◽  
High Level ◽  
The Impact ◽  
The City

As part of its Climate Change and Health Strategy, in 2017, Toronto Public Health engaged stakeholders from across the food system to complete a high-level vulnerability assessment of the impact of climate change on the food system in Toronto. Using the Ontario Climate Change and Health Vulnerability and Adaptation Assessment Guidelines, the City of Toronto’s High-Level Risk Assessment Tool, and a strategic framework developed by the Initiative for a Competitive Inner City, Toronto Public Health identified the most significant extreme weather event risks to food processing, distribution and access in Toronto. Risks associated with three extreme weather events that are the most likely to occur in Toronto due to climate change were analyzed: significant rain and flooding, an extended heat wave, and a major winter ice storm. The analysis finds that while extreme weather events could potentially disrupt Toronto’s food supply, the current risk of an extended, widespread food supply disruption is relatively low. However, the findings highlight that a concerted effort across the food system, including electrical and fuel providers, is needed to address other key vulnerabilities that could impact food access, especially for vulnerable populations. Interruptions to electricity will have food access and food safety impacts, while interruptions to the transportation network and fuel will have food distribution and access impacts. Actions to mitigate these risks could include addressing food access vulnerabilities through ongoing city-wide strategies and integrating food access into the City’s emergency response planning. The next steps will include engaging with multiple partners across the city to understand and strengthen the “last mile” of food distribution and develop community food resilience action plans for vulnerable neighbourhoods.

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