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For most Americans, the value of their home represents the largest portion of their total wealth; accordingly, homeowners even in very poor areas can obtain some benefit from a home-buyout program as a means to move away from risk and begin again. Renters, however, are an overlooked population during implementation of post-disaster retreat programs that predominantly focus on homeownership. Racism is a substantial factor in homeownership disparities between black and white Americans that can be traced to the post World War II GI Bill—a law that delivered to returning veterans federally-backed home mortgage loans, loans that were largely denied to returning black soldiers. These inequities have not been overcome, leaving minority renters as some of the most vulnerable populations after a disaster. Indeed, some renters may be substantially worse off after a buy-out program is implemented in an area. Renters represent an atypical “trapped” population when it comes to relocation programs because they may be economically forced to move to even more climate vulnerable housing. This paper will explore post-implementation impact on renters of home buy-out and similar retreat programs. We will examine the factors that contribute to this cycle of failed re-location efforts for this sub-group such as the lack of retreat policies aimed at assisting low-income renters, lack or limitations of home or rental insurance, the absence of “duty to warn” obligations from landlords to inform renters of repeated flooding risks at the property, and market failure to encompass climate risks in rental pricing.

The consequences that climate change could have on infrastructure systems are potentially severe but highly uncertain. This should make risk analysis a natural framework for climate adaptation in infrastructure systems. However, many aspects of climate change, such as weak background knowledge and societal controversy, make it an emerging risk where traditional approaches for risk assessment and management cannot be confidently employed. A number of research developments aimed at addressing these issues have emerged in recent years, such as the development of probabilistic climate projections, climate services, and robust decision frameworks. However, additional research is needed to improve the suitability of these methods for infrastructure planning. In this perspective, we outline some of the challenges in addressing climate change risks to infrastructure and summarize new developments aimed at meeting these challenges. We end by highlighting needs for future research, many of which could be well-served by expertise within the risk analysis community.

In response to evolving environmental, production, and processing conditions, microbial communities have tremendous abilities to move toward increased diversity and fitness by various pathways such as vertical and horizontal gene transfer mechanisms, biofilm formation, and quorum sensing [...]

Spill response managers on inland waterways have indicated the need for an improved decision-support system, one that provides advanced modeling technology within a visual framework. Efforts to address these considerations led the authors to develop an enhanced version of the Spill Management Information System (SMIS 2.0). SMIS 2.0 represents a state-of-the-art 3D hydrodynamic and chemical spill modeling system tool that provides for improved predictive spill fate and transport capability, combined with a geographic information systems (GIS) spatial environment in which to communicate propagation risks and locate response resources. This paper focuses on the application of SMIS 2.0 in a case study of several spill scenarios involving the release of diesel fuel and trichloroethylene (TCE) that were simulated on the Kentucky Lake portion of the Tennessee River, each analyzed at low, average, and high flow conditions. A discussion of the decision-support implications of the model results is also included, as are suggestions for future enhancements to this evolving platform.