Reconstructing patterns of coastal risk in space and time along the US Atlantic coast, 1970–2016
In: Natural hazards and earth system sciences: NHESS, Band 19, Heft 11, S. 2497-2511
ISSN: 1684-9981
Abstract. Despite interventions intended to reduce impacts of coastal hazards, the risk of damage along the US Atlantic coast continues to rise. This reflects a long-standing paradox in disaster science: even as physical and social insights into disaster events improve, the economic costs of disasters keep growing. Risk can be expressed as a function of three components: hazard, exposure, and vulnerability. Risk may be driven up by coastal hazards intensifying with climate change, or by increased exposure of people and infrastructure in hazard zones. But risk may also increase because of interactions, or feedbacks, between hazard, exposure, and vulnerability. Using empirical records of shoreline change, valuation of owner-occupied housing, and beach-nourishment projects to represent hazard, exposure, and vulnerability, here we present a data-driven model that describes trajectories of risk at the county scale along the US Atlantic coast over the past 5 decades. We also investigate quantitative relationships between risk components that help explain these trajectories.
We find higher property exposure in counties where hazard from shoreline
change has appeared to reverse from high historical rates of shoreline erosion to low rates in recent decades. Moreover, exposure has increased more in counties that have practised beach nourishment intensively. The
spatio-temporal relationships that we show between exposure and hazard, and
between exposure and vulnerability, indicate a feedback between coastal
development and beach nourishment that exemplifies the "safe development
paradox", in which hazard protections encourage further development in
places prone to hazard impacts. Our findings suggest that spatially explicit modelling efforts to predict future coastal risk need to address feedbacks between hazard, exposure, and vulnerability to capture emergent patterns of risk in space and time.