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Mucerino Luigi Carpi Luca Schiaffino Chiara F. Pranzini Enzo Sessa Eleonora Ferrari Marco 《Natural Hazards》2021,105(1):137-156
Natural Hazards - Rip currents are one of the most significant environmental hazards for beachgoers and are of interest to coastal scientists. Several studies have been conducted to understand rip... 相似文献
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By exploiting the theory of the response envelopes formulated by Menun and Der Kiureghian [Envelopes for seismic response vectors. I–Theory, J. Str. Engrg. 2000; 126(3); 467–473], an algorithmic approach for seismic analysis of reinforced concrete frames is presented. It aims to fill a gap between research on spectral analysis of structures and current design practice in which the use of seismic response envelopes, available since early 2000s, is hampered by the lack of efficient and robust implementations. The proposed strategy is based on customary features (such as modal shapes and response spectra) currently adopted in professional practice, and it takes advantage of recently published formulations for the evaluation of stress resultants in arbitrarily shaped reinforced concrete cross‐sections subjected to axial force and biaxial bending. Numerical applications are illustrated in order to show the procedure's efficiency and effectiveness. Copyright © 2015 John Wiley & Sons, Ltd. 相似文献
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Application of a GIS-aided method for the assessment of volcaniclastic soil sliding susceptibility to sample areas of Campania (Southern Italy) 总被引：2，自引：1，他引：1
Sebastiano Perriello Zampelli Eliana Bellucci Sessa Marco Cavallaro 《Natural Hazards》2012,61(1):155-168
A significant part of Campania is extensively covered by volcaniclastic soils, deriving from the alteration of airfall-sedimented
formations of layered ashes and pumices that were ejected by Campi Flegrei and Mt. Somma–Vesuvius during explosive eruptions.
Where such soils cover steep slopes cut in carbonate bedrock, landforms depend essentially on the morpho-evolution of such
slopes prior to the deposition of the volcaniclastic soils, because these are generally present only as thin veneers, up to
a few meters of total thickness. Historical records and local literature testify that, in this part of Campania, landslides
that originate on carbonate slopes covered by such soils and terminate at their foot or at gully outlets are frequent, following
critical rainfall events. Such landslides can be classified as complex, occurring initially as debris slides, but rapidly evolving into debris avalanches and/or debris flows. The localization
of the initial sliding areas (i.e. “sources”) on the slopes depends on both the spatial distribution of characters of the
soil cover and the spatial distribution of the triggering rainfall events. It therefore appears reasonable to separate the
two aspects of the problem and focus on the former one, in order to attempt an assessment of soil sliding susceptibility in
the event of landslide-triggering rainfall. In this paper, some results of the application of a method aimed at such an assessment
are presented. The method, called SLIDE (from SLiding Initiation areas DEtection), is based on the concept that, for a spatially
homogeneous soil cover and a spatially homogeneous landslide-triggering rainfall sequence, different values of threshold slope
gradient for limit equilibrium conditions exist, depending on morphological characters of the soil cover, such as its continuity
and planform curvature. The method is based on the assessment of (1) soil cover presence, (2) discontinuities within soil
cover, (3) slope gradients and curvature, by means of good resolution DEMs. It has been applied to sample carbonate slopes
of Campania, where landslides originated either repeatedly or recently. Results are encouraging, and a soil sliding susceptibility
map of a large area, based on a simplified version of method, is also presented. 相似文献
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A degree‐day‐based model is presented for a 1 year ahead runoff forecast, with 1 day time steps. The input information is a single snowpack evaluation collected at the beginning of the snowmelt season. The snow‐cover dynamics, the key information for long‐term snowmelt forecast, are described by the snow‐line dynamics, i.e. by the movements of the downhill snowpack limit. The snowmelt volume, estimated by the snow‐line dynamics, is the exogenous input of an autoregressive transformation model. The model is calibrated by a least‐squares procedure on the basis of observed daily runoff data and the corresponding measurements of the snowpack volume (one measurement per year). A real‐world case study on the Alto Tunuyan River basin (2380 km2, Argentinean Andes) is presented. The 1 year ahead Alto Tunuyan River runoff patterns, computed for both calibration and validation periods, reveal high agreement with observed streamflows. Copyright © 2004 John Wiley & Sons, Ltd. 相似文献
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