Sentence examples for intensity metrics from inspiring English sources

Selected hazard intensity metrics may not be appropriate to estimate impacts for all infrastructure components.

The relative importance of alternative hazard intensity metrics to surface transportation disruption is assessed with a suggested approach to account for these in existing fragility functions.

Our work demonstrates the importance of considering ash-settling rate, in addition to ash thickness, as critical hazard intensity metrics for surface transportation, but highlights that other metrics, especially particle size, are also important for transportation.

In addition, discrimination of aspen can be difficult because the ALS intensity metrics that are important in species detection overlap with spruce and birch (Ørka HO et al. 2007; Korpela et al. 2010).

In section Volcanic Vulnerability and Fragility Framework we present a framework for the derivation of fragility and vulnerability functions focusing on input data, impact and hazard intensity metrics, function fitting, uncertainty analysis and documentation.

However, the selection of appropriate hazard intensity metrics has been highlighted as a crucial factor for fragility function development and recent empirical evidence suggests that ash thickness is not always the most appropriate metric.

Thus, it is not possible to use hazard-intensity metrics (e.g., volume or thickness) alone to estimate cost and duration.

We so far estimated RNA quality in relative units using suited 5′/3′-intensity metrics which reflect the decrease of transcript abundance with increasing distance from the 3′-end.

Experimental results indicate that our framework achieves a 9.5% miss penalty reduction with the proposed timing intensity metric compared to metrics from prior work, a 13.6% performance improvement over a state-of-the-art scheduling approach for single-ISA heterogeneous platforms, and a 23.2% performance benefit from exploiting platform heterogeneity.

Land-use intensity encompasses metrics for inputs to the land-based production system, for output for the production systems, and system-level changes induced by land use that impact upon ecological and social systems (e.g., impacts on ecosystem parameters).

A number of common LiDAR return height and intensity distribution metrics were calculated (e.g. average return height), in addition to ten indices, with two additional variants, utilized in the surrounding literature which have been used to estimate LAI and fractional cover, were calculated from return heights and intensity, for each plot extent.