Prediction of coastal vulnerability is of increasing concern to policy makers, coastal managers and other stakeholders. Coastal regions and barrier islands along the Atlantic …
Bayesian networks (BNs) are being increasingly applied to environmental research. Nonetheless, most of the literature related to environmental sciences use discrete or …
Coastal erosion is driven by both a storm's erosion potential and by an area's vulnerability. Therefore, the problem of estimating storm-induced impacts can be approached in two-step …
M Palmsten, J Paquin Fabre - Journal of Geophysical …, 2016 - Wiley Online Library
A Bayesian network is developed to demonstrate the feasibility of using environmental acoustic feature vectors (EAFVs) to predict underwater acoustic transmission loss (TL) …
The upper beach, between the astronomical high tide and the dune-toe, supports habitat and recreation along many beaches, making predictions of upper beach change valuable to …
Climate change has been related to the current loss of global biodiversity. In this paper, the effects of different scenarios of climate change on the distribution of the four classes of …
La sociedad y los ecosistemas han evolucionado de forma conjunta a lo largo de la historia estableciendo una estrecha relación. Mientras que los ecosistemas proveen de bienes y …
PURPOSE: This Coastal and Hydraulics Engineering Technical Note (CHETN) is the second of two CHETNs focused on improving technologies to forecast coastal foredune …
The impact of coastal storms is one of the costliest forms of natural disaster, as it affects a particularly valuable fringe both from the socioeconomic and ecologic perspectives. In …