Sentence examples for distribution of hazards from inspiring English sources

In scenario 2 and scenario 3, the distribution of hazards in China is spatially uneven.

These results suggest that, when taking connections between airports into consideration, the Chinese civil aviation network system is vulnerable to spatially localized hazards, no matter the spatial distribution of hazards is uniform or non-uniform.

This indicates that, when considering connections between airports, the Chinese civil aviation network system is highly vulnerable to spatially localized hazards, even though the spatial distribution of hazards is uniform, and that of airports, is not uniform.

To accumulate the sound data, the villages were sampled keeping in view the spatial distribution of hazards and their intensity including the size of the villages in terms of both the area as well as population.

Most of the existing studies mainly focus on network topology, largely ignoring the spatial distribution of hazards, as well as the spreading impact of spatially localized hazards, which may have increasingly adverse impact on civil aviation systems under the background of global climate change.

The first group of analyses describes spatial and temporal distribution of hazards and outcomes independently and elucidates trends and relationships that can be further explored.

The spatial and temporal distribution of hazard in complex spill scenario has been taken into account in the CFD model.

Using ArcGIS® estimated PGA-values gridded data are interpolated by means of geostatistical Kriging method to obtain the spatial distribution of hazard levels.

Given the lack of data for the spatial distribution of hazard intensity in relation to exposure, the median wind speed of all grids within each of the districts of Shenzhen was taken as the final input representing hazard intensity.

Figure 8 shows the distribution of hazard levels expressed as peak ground acceleration (PGA) for 10% probability of exceedance in 50 years, contoured from high (>21% g) to low (<16% g) for rock site conditions.

For example, some probabilistic volcanic hazard map toolsets are currently being designed to output two types of mappable content: a distribution of the probabilities of reaching and exceeding a fixed hazard intensity threshold (e.g., 10 mm of ash), or a distribution of hazard intensities expected at a fixed probability threshold (e.g., 25%) over any user-defined timeframe (Tonini et al. in press).