Adaptation in an Uncertain World—Detection and Attribution of Climate Change Trends and Extreme Possibilities
Xiyue Li and Gary Yohe
This chapter offers results from an artificial simulation exercise that was designed to answer three fundamental questions that lie at the heart of anticipatory adaptation. First, how can confidence in projected vulnerabilities and impacts be greater than the confidence in attributing what has heretofore been observed? Second, are there characteristics of recent historical data series that do or do not portend our achieving high confidence in attribution to climate change in support of framing adaptation decisions in an uncertain future? And finally, what can analysis of confidence in attribution tell us about ranges of “not-implausible” extreme futures vis-à-vis projections based at least implicitly on an assumption that the climate system is static? An extension of the IPCC method of assessing our confidence in attribution to anthropogenic sources of detected warming presents an answer to the first question. It is also possible to identify characteristics that support an affirmative answer to the second. Finally, this chapter offer some insight into the significance of our attribution methodology in informing attempts to frame considerations of potential extremes and how to respond.
Jubayer Chowdhury and Teng Wu
In this chapter, an effort has been made to give an overview of the aerodynamic loading on structures due to non-synoptic wind events, mainly tornadoes and downbursts. A brief description of the provisions in the building codes and standards for non-synoptic wind loads is presented. Current state of the art in simulating non-synoptic wind systems to obtain wind loads on structures is also discussed. The primary focus is buildings, bridges, and transmission lines in the discussion of the aerodynamic loading on structures. Finally, some insights are given on how future research in evaluating non-synoptic wind loads on structures might unfold.
Djordje Romanic and Horia Hangan
Analytical and semi-empirical models are inexpensive to run and can complement experimental and numerical simulations for risk analysis-related applications. Some models are developed by employing simplifying assumptions in the Navier-Stokes equations and searching for exact, but many times inviscid solutions occasionally complemented by boundary layer equations to take surface effects into account. Other use simple superposition of generic, canonical flows for which the individual solutions are known. These solutions are then ensembled together by empirical or semi-empirical fitting procedures. Few models address turbulent or fluctuating flow fields, and all models have a series of constants that are fitted against experiments or numerical simulations. This chapter presents the main models used to provide primarily mean flow solutions for tornadoes and downbursts. The models are organized based on the adopted solution techniques, with an emphasis on their assumptions and validity.
Joan Martí Molist
Volcanoes represent complex geological systems capable of generating many dangerous phenomena. To evaluate and manage volcanic risk, we need first to assess volcanic hazard (i.e., identify past volcanic system behavior to infer future behavior. This requires acquisition of all relevant geological and geophysical information, such as stratigraphic studies, geological mapping, sedimentological studies, petrologic studies, and structural studies. All this information is then used to elaborate eruption scenarios and hazard maps. Stratigraphic studies represent the main tool for the reconstruction of past activity of volcanoes over time periods exceeding their historical record. This review presents a systematic approach to volcanic hazard assessment, paying special attention to reconstruction of past eruptive history. It reviews concepts and methods most commonly used in long- and short-term hazard assessment and analyzes how they help address the various serious consequences derived from the occurrence (and nonoccurrence in some crisis alerts) of volcanic eruptions and related phenomena.
Timothy P. Marshall and J. Arn Womble
Most building damage occurs at relatively low wind speeds, at or below 50 m s–1 (112 mph), as certain components fail, such as doors, windows, chimneys, and roof coverings. Rainwater then enters these openings, leading to interior damage. Structural failures usually begin with the removal of gable end walls, roof decking, and poorly attached roof structures as wind speeds increase; the greatest damage occurs at roof level as wind speeds increase with height above the ground. Internal wind pressure effects can lead to additional, more catastrophic damage, such as the removal of walls and ceilings. It is difficult to measure wind speeds directly on buildings as they would have to be instrumented well in advance of the storm, and there is no guarantee the storm would strike them. Furthermore, flying debris can damage pressure sensors on instrumented buildings. Thus, damage evaluators must infer failure wind speeds indirectly by studying damage left behind in the wake of windstorms. Therefore, it is important that damage evaluators know how buildings are constructed to better understand how they fail. This chapter identifies similar failure modes in residential structures regardless of wind type according to information from more than four decades of storm damage surveys. The information presented herein highlights some of the lessons learned in evaluating storm damage to wood-framed residential structures.
Hrvoje Kozmar and Branko Grisogono
There is a clear need to learn more about the exact characteristics of downslope wind storms in order to accurately address relevant topics in environmental aerodynamics and wind engineering. In particular, the characteristics of the atmospheric boundary layer are well known and provided in international standards and textbooks; however, further work is required to elucidate characteristics of downslope wind storms and make these characteristics available in a form suitable for engineering applications. While downslope wind storms have been successfully addressed in the meteorology, climatology, and geophysics communities, the focus of those groups is quite different from the focus in wind engineering; that is, the existing data on characteristics of downslope wind storms are of marginal relevance for engineering applications. It is therefore the scope of this chapter to provide a critical review of the state of the art on characteristics of those local and unique winds in comparison with the typical atmospheric boundary layer. It is expected that this work will encourage a more detailed codification of those winds. Another important goal is to enhance an interdisciplinary collaboration among the meteorology, geophysics, and engineering communities because it is shown in this chapter that the current wind engineering standards do not entirely keep up with the atmospheric physics of downslope wind storms.
Eduardo Marone, Ricardo de Camargo, and Julio Salcedo Castro
This article describes the threat costal hazards pose to existing life in light of climate change and natural disaster. It includes an overview of flooding, extreme waves, and other water-related stressors. The article discusses how human-induced risks in the coastal zone, resulting from mismanaged urbanization, persistent pollution, and overexploitation of resources, exacerbate matters and pose extra pressure on the environment, science, and society. Ways of measurement and reaction to these events, as well as best practices for preparedness, are discussed. Businesses, individuals, and ecosystems are under threat of destruction from these circumstances. The article also emphasizes the need to make scientific work in this field accessible and understandable to society and decisión makers.
Horia Hangan and Ahsan Kareem
This chapter summarizes the book’s study on non-synoptic wind storms (NSWSs). The book covers aspects related the general vulnerability to NSWSs in terms of (1) incidence, including the flow field and intensity and the frequency and occurrence of these storms; and (2) exposure, including preparedness for NSWSs. In doing so, it presents the state of the art regarding full-scale data acquisition and analysis, mesoscale and microscale numerical modeling, physical simulations, structural analysis, risk modeling, building codes implementation, and insurance analysis. For each of these aspects, the presentation aims at being informative, reviewing a large palette of approaches and presenting their advantages and limitations. It also stresses the need for future research.
Kirsten D. Orwig
Convective storms affect countries worldwide, with billions in losses and dozens of fatalities every year. They are now the key insured loss driver in the United States, even after considering the losses sustained by tropical cyclones in 2017. Since 2008, total insured losses from convective storms have exceeded $10 billion per year. Additionally, these losses continue to increase year over year. Key loss drivers include increased population, buildings, vehicles, and property values. However, other loss drivers relate to construction materials and practices, as well as building code adoption and enforcement. The increasing loss trends pose a number of challenges for the insurance industry and broader society. These challenges are discussed, and some recommendations are presented.
Decision making under questions of deep uncertainty can be vague or specific, open-ended or fixed, easy or hard. This chapter very briefly addresses issues and approaches to decision making on adaptation to climate change. Depending on the research question, a complicated set of multiple approaches and tools may be needed. To highlight the types of approaches, this chapter discusses a variety of decision making tools and relates them to a particular problem: a homeowner choosing whether to do nothing, buy insurance, or elevate their home. The chapter culminates in a table summarizing the pros and cons of a variety of approaches.
Rob Wilby and Conor Murphy
Some of the most profound impacts of climate variability and change are expected in the water sector. These include more frequent, severe, and persistent droughts; more frequent, widespread, and extreme floods; more episodic and harmful water pollution episodes. Coping with more variable water supplies alongside rising demand will involve institutional reform, new infrastructure, adjustments to operations, and water demand management. A smarter, decision-led approach to deploying climate information in water management will also be required. This chapter begins with an overview of analytical frameworks for assessing and adapting water resource systems to uncertain climate threats and opportunities. It then gives examples of the diverse sources of information that are being accessed by some water managers to establish plausible ranges of climate change as a basis for decision-making. Examples from Denver, Colorado, and Dublin, Republic of Ireland show how narratives of future system changes and historical data can help test the efficacy of decisions under uncertainty. These two case studies demonstrate how early dialogue and information exchange among practitioners and scientists are fundamental to adaptation planning. In both places, unconventional sources of climate risk information were used to more rigorously stress test water management and planning assumptions. The preferred adaptation decision frameworks were dynamic, iterative, and open-ended. The chapter closes by acknowledging that further development of the decision-making approaches described herein may be needed to evaluate mixtures of adaptation options across multiple sectors.
Disaster Prevention Achieved: The 2009 Flood Threat along the Red River of the North at Fargo, North Dakota, United States
Andrew J. McLean, Donald P. Schwert, Kathleen M. Macek-Rowland, Thomas M. DeSutter, H. Katherine O'Neill, and James M. Shultz
Many communities in the US Upper Midwest have been battling record floods in recent decades. This chapter focuses on a spring flood event in 2009, when the Greater Fargo area avoided destruction from the Red River of the North by utilizing mitigation efforts. Included in the undertaking was the mobilization of the community to place millions of sandbags, as well as the creative repurposing of resources. This case study presents a model of community resilience in a geographically vulnerable region. It illustrates the achievement of flood disaster prevention in the face of imminent and severe threat; the reinforcement and enhancement of community resilience based on averting disaster; the channeling of fear-related behaviors into constructive community actions; and the complexity of factors that create unique flood risks along the Red River of the North. Lessons-learned provided for not only a recovery framework, but also a recognition of the value of behavioral health leadership in disaster situations.
James R. Bohland and Jennifer Lawrence
With the transition from a descriptive construct to a normative concept, resilience has engendered debate as to its appropriateness and effectiveness as a community planning strategy in addressing existing and future threats. In some measure the questions raised are because the role of cultural values in resilience construction has not been fully explored. As communities, cities, and regions strive to enhance resilience, a greater understanding of the importance of cultural values is required. The authors adopt two metaphors are useful in describing how resilience is construction. They use the metaphors to construct a heuristic that incorporates cultural values in resilience construction in a very transparent manner. The heuristic draws upon the theoretical work in cultural values by Mary Douglas, the enhancement of that work by Kahan and others, and by integrating the two into recent work in resilience on assemblage theory.
This article discusses the importance of assessing and estimating the risk of earthquakes. It begins with an overview of earthquake prediction and relevant terms, namely: earthquake hazard, maximum credible earthquake magnitude, exposure time, earthquake risk, and return time. It then considers data sources for estimating seismic hazard, including catalogs of historic earthquakes, measurements of crustal deformation, and world population data. It also examines ways of estimating seismic risk, such as the use of probabilistic estimates, deterministic estimates, and the concepts of characteristic earthquake, seismic gap, and maximum rupture length. A loss scenario for a possible future earthquake is presented, and the notion of imminent seismic risk is explained. Finally, the chapter addresses errors in seismic risk estimates and how to reduce seismic risk, ethical and moral aspects of seismic risk assessment, and the outlook concerning seismic risk assessment.
Kevin M. Simmons
This chapter summarizes recent research first on the policy prescription of building codes designed with wind engineering principles, then on research concerning how markets for wind-enhanced construction offers other channels for increased resilience. Florida’s statewide building code was enacted after Hurricane Andrew; it was the first statewide building code designed for wind. But non-synoptic systems, such as tornadoes, also cause high levels of damage, so the city of Moore, Oklahoma, adopted a code to address that threat. The first purpose of this chapter is to conduct an analysis of the cost-effectiveness of these codes. An examination of other states that may also justify stronger codes follows. Finally, the chapter reviews research on how real estate markets value voluntary mitigation. Using markets for above-code construction provides opportunities to increase resilience in states where stronger building codes are not adopted.
Kishor C. Mehta
This chapter is an introduction to tornado storms from an engineering perspective. The material included here relates to warnings and subsequent response by people, the chance of tornado hazard at a location, tornado–structure interaction, and building design for tornadoes for life safety. Other chapters in this handbook, referenced here, give details on interrelated subjects, in this chapter, reader will gain an overview of the available knowledge on tornadoes from an engineering perspective. Other chapters of this handbook and the references at the end of this chapter can provide in-depth understanding of engineering other aspects of tornado.
Junji Maeda, Takashi Takeuchi, Eriko Tomokiyo, and Yukio Tamura
To quantitatively investigate a gusty wind from the viewpoint of aerodynamic forces, a wind tunnel that can control the rise time of a step-function-like gust was devised and utilized. When the non-dimensional rise time, which is calculated using the rise time of the gusty wind, the wind speed, and the size of an object, is less than a certain value, the wind force is greater than under the corresponding steady wind. Therefore, this wind force is called the “overshoot wind force” for objects the size of orbital vehicles in an actual wind observation. The finding of the overshoot wind force requires a condition of the wind speed recording specification and depends on the object size and the gusty wind speed.
Tornadoes and downbursts cause extreme wind speeds that often present a threat to human safety, structures, and the environment. While the accuracy of weather forecasts has increased manifold over the past several decades, the current numerical weather prediction models are still not capable of explicitly resolving tornadoes and small-scale downbursts in their operational applications. This chapter describes some of the physical (e.g., tornadogenesis and downburst formation), mathematical (e.g., chaos theory), and computational (e.g., grid resolution) challenges that meteorologists currently face in tornado and downburst forecasting.
Massimiliano Burlando and Djordje Romanic
Severe winds produced by thunderstorm outflows cause damage to structures and properties worldwide. Due to their high frequency of occurrence, these winds can be considered one of the most high-risk phenomena in the plethora of the dangerous manifestations of the weather in the troposphere. Through the analysis of experimental data that initiated with visual observations and followed with quantitative measurements, the downburst phenomenon was first discovered and measured in the second half of the last century. Since then, the physical processes responsible for downburst formation have been identified thanks to the advances in observing systems, numerical modeling techniques, as well as smaller scale physical experiments carried out under well-controlled and confined conditions. The purpose of this chapter is to summarize what has been learned about kinematics, dynamics, and thermodynamics of downbursts and unveil the physics behind this phenomenon, running through the most relevant discoveries over the last half century in this research field.
Julie Rozenberg, Laura Bonzanigo, and Claire Nicolas
Increasing the amount of resilient infrastructure investments in developing countries is key to achieving development goals. Two issues need to be addressed to better support investment decisions. First, analysts need to better integrate the social, economic, and environmental dimensions of investment decisions in their quantitative analyses, given the intertwined objectives of climate change adaptation and poverty reduction. Second, analysts and practitioners need to recognize that the future state of those three dimensions is deeply uncertain and that new techniques need to be used that look for robust investments—performing well under multiple future conditions—rather than an optimal solution under a single prediction of the future. Doing so can be achieved by beginning important decision processes with an integrated model representing technical and socioeconomic factors, and exploring various interventions under many possible futures.