The complex interplay between climate change, demographics and socioeconomic conditions is transforming the global environmental health landscape. In the aftermath of recent heat waves around the world, especially the 2003 heat wave in Europe, heat is being recognized as an emerging public health issue worldwide, particularly in urban areas. This work explores the historical and future heat-related mortality in New York City, from the beginning of the 20th until the end of the 21st century. New York City is among the largest cities in the world and has been a thriving metropolis over the entire period covered by this study. The unique makeup of the city makes it particularly suitable for studying the impacts of heat over an extended period of time. The presented work encompasses multiple domains of knowledge and illustrates the necessity for applying highly interdisciplinary approaches in addressing the emerging challenges of our time. The background chapter provides an overview of methodological approaches and findings from previous studies with direct relevance to the specific aims of this work. Chapter I is focused on characterizing the impacts of heat on daily mortality since 1900. Here, heat effects are presented in a historical context and changes over time are analyzed and discussed. Chapter II provides a comparative assessment of recent historical and heat impacts until 2100 in New York City, Boston and Philadelphia. This analysis illustrates the differences and similarities between heat impacts in New York City and the other two major urban areas in the U.S. Northeast. Chapter III provides a more comprehensive assessment of future heat-related mortality in New York City under a number of adaptation, climate change and demographic scenarios. The concluding chapter presents a summary of findings and recommendations for future research.

The complex interplay between climate change, demographics and socioeconomic conditions is transforming the global environmental health landscape. In the aftermath of recent heat waves around the world, especially the 2003 heat wave in Europe, heat is being recognized as an emerging public health issue worldwide, particularly in urban areas. This work explores the historical and future heat-related mortality in New York City, from the beginning of the 20th until the end of the 21st century. New York City is among the largest cities in the world and has been a thriving metropolis over the entire period covered by this study. The unique makeup of the city makes it particularly suitable for studying the impacts of heat over an extended period of time. The presented work encompasses multiple domains of knowledge and illustrates the necessity for applying highly interdisciplinary approaches in addressing the emerging challenges of our time. The background chapter provides an overview of methodological approaches and findings from previous studies with direct relevance to the specific aims of this work. Chapter I is focused on characterizing the impacts of heat on daily mortality since 1900. Here, heat effects are presented in a historical context and changes over time are analyzed and discussed. Chapter II provides a comparative assessment of recent historical and heat impacts until 2100 in New York City, Boston and Philadelphia. This analysis illustrates the differences and similarities between heat impacts in New York City and the other two major urban areas in the U.S. Northeast. Chapter III provides a more comprehensive assessment of future heat-related mortality in New York City under a number of adaptation, climate change and demographic scenarios. The concluding chapter presents a summary of findings and recommendations for future research.

Human risk perceptions and responses to risks are driven in part by personal experiences with relevant threats. In the case of climate change, humans have been slow to take sufficient action to mitigate climate risks, but personal experiences with extreme or abnormal weather events may shape attitudes and behaviors regarding climate risk. This dissertation presents a series of five papers that examine the effects of experiences with weather events on people’s attitudes and behaviors related to climate change. Paper 1 presents a detailed review of existing recent theoretical and empirical papers on the topic. Paper 2 presents evidence that a variety of extreme weather events can increase attention to climate change. This paper quantifies attention to climate change as frequencies of social media messages about climate change paired with records of extreme weather events in the United States. Next, Paper 3 reports evidence that experiences with abnormal weather events can impact climate policy support, an essential climate mitigation behavior. Across five studies in Paper 3 including survey data, online search data, and real election outcomes paired with objective weather observations, findings indicate that experiences with abnormal temperatures can increase climate policy support. Papers 2 and 3 together provide evidence that experiences with extreme or abnormal weather can affect attention to climate change and can affect substantial real-world climate mitigation behaviors. Paper 4 sheds light on the psychological mechanisms underlying the effects of experiences with extreme weather on climate change attitudes and behaviors. We examine experienced affect about climate change as a candidate mechanism which is investigated over three studies including survey data, experimental data, and social media data. We find support for the hypothesis that weather experiences influence climate attitudes and behaviors in part through experienced affect. Papers 1-4 together provide evidence that experiences with abnormal weather events can influence climate attitudes and behaviors. It remains an important question how these effects compare to effects of other drivers of climate attitudes such as climate activist events. Paper 5 analyzes the effects of climate activist events in direct comparison with effects of abnormal weather experiences. We find that the aggregate effects of weather experiences over the course of an average year are comparable to the individual effects of the world’s largest recent climate activist events and also to the effects of intergovernmental climate summit events. In sum, this dissertation reviews and synthesizes past literature, reports new evidence that abnormal weather experiences can affect citizens’ climate attitudes and mitigation behaviors, sheds light on an underlying mechanism of this phenomenon, and demonstrates that the magnitude of the effects of personal experiences is comparable to other known drivers of climate risk perceptions and mitigation behaviors.

Ph.D., Faculty of Science, University of the Witwatersrand, 2011 / In this study, the linkages between sustainable development, disaster-risk reduction and governance are explored, with reference to climate change adaptation. The purpose of the assessment is to ascertain the effectiveness, or lack thereof, of these inter-linkages with regard to climate change adaptation in South Africa. First, a brief review of theoretical debates on sustainable development, disaster-risk reduction, governance and climate change adaptation is given. Currently, it seems, sustainable development, disaster-risk reduction and governance are viewed exclusively from each other and from climate change adaptation. Some theoretical debates suggest that successful, long-term climate change adaptation can only be accomplished if linkages between these concepts, and practices, where relevant, are recognized in development policies. There is thus, a need to understand the relationships between climate change adaptation and development policy AND their linkages and tradeoffs. Coupled to this understanding, there is also a need to assess the role of institutions as well as institutional barriers that may retard or pose a threat to long-term sustainable adaptation. For this case study, the focus is on the 2004/05 drought that occurred in the Eastern Cape. The drought of 2004/05 was particularly severe. Some parts of the Eastern Cape were declared disaster areas. This declaration prompted responses from the various spheres of government, e.g. national, provincial and local. The intention therefore is, firstly, to gain clarity on the linkages between development/sustainable development policies, disaster-risk reduction and governance in the Province that operated during this period and in the periods following this drought. Secondly, the intention is to understand how the spheres of governance work together in responding to climate-related disasters. Responses from the community reveal that coupled to poor development planning; there is also limited and poor institutional capacity to respond to the direct and indirect impacts of climate variability and change. This poor institutional capacity is further complicated by a lack of coordination between the three spheres of government, i.e. national, provincial and local, as well as across national government departments. It is suggested that first, a good structure of cooperative governance and disaster-risk reduction is needed in South Africa. This structure should allow for multi-faceted and holistic development planning that focuses on saving lives, protecting livelihoods and assets. A good structure of governance should provide an environment that is sustainable and conducive to long-term climate change adaptation. What this case study also reveals is that monetary relief and assistance alone is not an effective response to climate variability and change. What is thus also needed is more vigilant monitoring of development projects and relief-funds as well as coordinated governance of development activities between national, provincial and local governments. Such an organized structure of governance could aid the country in gearing up for climate change adaptation.

Increasing sea levels have the potential to place important portions of the infrastructure we rely on every day at risk. The transportation infrastructure relies on roads, airports, and seaports to move people, services, and goods around in an ever connected global economy. Any disturbances of the transportation modes have reverberating effects throughout the entire economic spectrum. The effects include delays, alterations of routes, and possible changes in the origin and destinations of services and goods. The purpose of this project is to develop an improved methodology for a sea level rise scenario vulnerability assessment model. This new model uses the groundwater elevation as a limiting factor for soil storage capacity in determining previously underestimated areas of vulnerability. The hope is that early identification of vulnerability will allow planners and government officials an opportunity to identify and either remediate or create alternative solutions for vulnerable land areas before high consequence impacts are felt. / by Thomas Romah. / Thesis (M.S.C.S.)--Florida Atlantic University, 2012. / Includes bibliography. / Mode of access: World Wide Web. / System requirements: Adobe Reader.

Thesis (M. Sc.) -- University of LImpopo, 2019 / Refer to document

As coastal cities around the world identify and implement adaptations to sea level rise, they are faced with competing interests around what should be done and how to prioritize actions. Often, environmental problems--like confronting the challenge of sea level rise--are posed as requiring expert driven, technical solutions to identify and mitigate risks across the landscape. This framing, however, ignores the way in which diverse knowledge can help inform long-term planning horizons that address complex ways that sea level rise affects communities. The failure to integrate diverse knowledge into sea level rise adaptation can result in barriers to implementation and outcomes that can reproduce inequities. In environmental planning, knowledge integration challenges can stem from ambiguity around the construction of environmental risk knowledge, as well as institutional arrangements that inhibit diverse involvement. Ambiguity refers to a context in which there are different and sometimes conflicting views on how to understand the problem or system to be managed, for example, conflicts around what risks to measure and how to measure them. This manifests in the ways that different groups construct and use knowledge about risks. Often ignored in planning contexts and research on sea level rise adaptation, ambiguity--particularly around social risks--are critical to address, since they can determine whether diverse knowledge about risks are integrated or ignored in planning. This dissertation uses a case study of Miami-Dade County, Florida and is guided by the question: how do different groups understand risk within sea level rise, and what planning and governance factors influence the way diverse dimensions of risk are integrated into adaptation strategies? Findings from this case study suggest that baselines, projections, and the focus of risk rooted in an economic discourse based on short-term planning horizons and technical constructions of risk have more authority as compared with counter arguments around ecological and social risks. Recommendations include the need for transparent adaptation decisions and the inclusion of diverse stakeholders in the production of regional climate science, sea level rise assessments, and adaptation planning. A more integrated approach can better address diverse risks and facilitate long-term planning.

Climate change continues to present a major challenge to food security around the world. The potential impact of climate change of rural livelihoods is especially significant as rural communities often rely heavily on natural resources to sustain their livelihoods and, hence, food security. This is applicable to the rural town of Hamburg, on the Eastern Cape coast of South Africa. The Sustainable Rural Livelihoods framework analyses livelihoods in terms of the context, available capitals and institutional framework that determines the livelihood strategies and outcomes for rural households. In terms of livelihood outcomes for Hamburg, it was found that the households have a heavy reliance on state grants in their livelihood portfolios. Natural resources, in the form of agriculture and harvesting of marine organisms, played only a supplementary role in livelihood strategies. Thus, given that climate change would impact negatively on the estuarine resources and the impact on agriculture is unknown as the climate becomes wetter and hotter, the impact on livelihoods and food security would not be significant. However, the sustainability of current livelihood strategies is questionable as grants, by their very nature, or unsustainable and therefore can result in vulnerability and food insecurity in the long-run for households. It is recommended that grants should be issued within the community, instead of in the distant town of Peddie, to help develop the local economy and reduce leakages. This would allow for diversification of livelihood strategies in Hamburg. In addition, government support through extension officers should be extended to Hamburg to assist in developing the local agriculture sector

Thesis (M. Sc.) -- University of LImpopo, 2019 / Refer to document

Infrastructure systems around the world face immediate crises and smoldering long-term challenges. Consequently, system owners and managers must balance the need to repair and replace the aging and deteriorating systems already in place against the need for transformative investments in deep decarbonization, climate adaptation, and transportation that will enable long-term competitiveness. Complicating these decisions are deep uncertainties, finite resources, and competing objectives. These challenges motivate the integration of “hard” investments in physical infrastructure with “soft” instruments like insurance, land use policy, and ecosystem restoration that can improve service, shrink costs, scale up or down as future needs require, and reduce vulnerability to population loss and economic contraction. A critical advantage of soft instruments is that they enable planners to adjust, expand, or reduce them at regular intervals, unlike hard instruments which are difficult to modify once in place. As a result, soft instruments can be precisely tailored to meet near-term needs and conditions, including projections of the quasi-oscillatory, regime-like climate processes that dominate seasonal to decadal hydro-climate variability, thereby reducing the need to guess the needs and hazards of the distant future. The objective of this dissertation is to demonstrate how potentially predictable modes of structured climate variability can inform the design of soft instruments and the formulation of adaptive infrastructure system plans. Using climate information for sequential adaptation requires developing credible projections of climate variables at relevant time scales. PartI considers the drivers of river floods in large river basins, which is used throughout this dissertation as an example of a high-impact hydroclimate extreme. First, chapter 2 opens by exploring the strengths and limitations of existing methodologies, and by developing a statistical-dynamical causal chain framework within which to consider flood risk on interannual to secular time scales. Next, chapter 3 describes the physical mechanisms responsible for heavy rainfall (90th percentile exceedance)and flooding in the Lower Paraguay River Basin (LPRB), focusing on a November-February(NDJF) 2015-16 flood event that displaced over 170 000 people. This chapter shows that: 1. persistent large-scale conditions over the South American continent during NDJF 2015-16 strengthened the South American Low-Level Jet (SALLJ), bringing warm air and moisture to South East South America (SESA), and steered the jet towards the LPRB, leading to repeated heavy rainfall events and large-scale flooding; 2. while the observed El Niño event contributed to a stronger SALLJ, the Madden-JulienOscillation (MJO) and Atlantic ocean steered the jet over the LPRB; and 3. while numerical sub-seasonal to seasonal (S2S) and seasonal models projected an elevated risk of flooding consistent with the observed El Niño event, they had limited skill at lead times greater than two weeks, suggesting that improved representation of MJO and Atlantic teleconnections could improve regional forecast skill. Finally, chapter 4 shows how mechanistic understanding of the physical causal chain that leads to a particular hazard of interest – in this case heavy rainfall over a large area in the Ohio River Basin (ORB) – can inform future risks. Taking the GFDL coupled model, version 3 (CM3) as a representative general circulation model (GCM), this chapter shows that 1. the GCM simulates too many regional extreme precipitation (REP) events but under-simulates the occurrence of back to back REP days; 2. REP days show consistent large-scale climate anomalies leading up to the event; 3. indices describing these large-scale anomalies are well simulated by the GCM; and 4. a statistical model describing this causal chain and exploiting simulated large-scale in-dices from the GCM can be used to inform the future occurrence of REP days. Even the best climate projections must confront epistemic uncertainties. Part II of this dissertation explores how intrinsically flawed projections should inform sequential adaptation.First, chapter5reviews approaches for planning under uncertainty, considering the role of classical decision theory, optimization, probability, and non probabilistic approaches. Next, chapter 6 considers how different physical mechanisms impart predictability at different timescales and the implications of secular, low-frequency cyclical, and high-frequency cyclical variability for selection between instruments with long and short planning periods. In particular, this chapter builds from three assertions regarding the nature of climate risk: 1. different climate risk mitigation instruments have different project lifespans; 2. climate risk varies on many scales; and 3. the processes which dominate this risk over the planning period depend on the planning period itself. Defining M as the nominal design life of a structural or financial instrument and N as the length of the observational record (a proxy for total informational uncertainty), chapter 7 presents a series of stylized computational experiments to probe the implications of these premises. Key findings are that: 1. quasi-periodic and secular climate signals, with different identifiability and predictability, control future uncertainty and risk; 2. adaptation strategies need to consider how uncertainties in risk projections influence the success of decision pathways; and 3. stylized experiments reveal how bias and variance of climate risk projections influencerisk mitigation over a finite planning period. Chapter 7 elaborates these findings through a didactic case study of levee heightening in the Netherlands. Integrating a conceptual model of low-frequency variability with credible projections of sea level rise, chapter 7 uses dynamic programming to co-optimize hard (levee increase) and soft (insurance) instruments. Key findings are that 1. large but distant and uncertain changes (e.g., sea level rise) do not necessarily motivate immediate investment in structural risk protection; 2. soft adaptation strategies are robust to different model structures and assumptions while hard instruments perform poorly under conditions for which they were not de-signed; and 3. increasing the hypothetical predictability of near-term climate extremes significantly lowers long-term adaptation costs. Finally, part III seeks to unpack the conceptual experiments of parts I and II to inform policy and future research. Chapter 8 describes how constructive narratives about climate change can discourage climate fatalism. Instead, chapter 8 emphasizes that while climate change is and will be a critical stressor of infrastructure systems, individuals, communities, and regions have agency and can mitigate its consequences. Finally, chapter9concludes by discussing the key findings of this dissertation and exploring how future work on decision under uncertainty, technology, and earth systems science can aid the design and management of effective infrastructure services.