By use of CPM, an algorithm to calculate awareness intensity is developed based on object-oriented method.
The dynamic-state model under variable heat source intensity is developed by adopting the idea of superposition principle and step load theory.
Based on the ratio of initial fuel layer thickness to the pool diameter, prediction models for boilover onset time and boilover intensity are developed.
To investigate in detail anomalous changes in the ionosphere, new computational solutions to detect anomalies of different scales and estimate their parameters (e.g., time of occurrence, duration, scale, and intensity) were developed based on a continuous wavelet transform.
Models with similar variables describing traffic intensity were developed for PM2.5 and NO2.
Besides the developed districts like Tianjin, Shanghai, and Guangdong Province, half of the top 10 provinces with the highest public investment intensity are developing areas with abundant natural resources, such as Gansu, Yunnan, Hainan, and Guizhou Provinces.
In order to facilitate the analysis and interpretation of the data with minimal complexity, approximate methods for calculating scattering intensities are developed to take into account the subtleties of thermal diffuse scattering from layered liquid surfaces.
Due to the great variety of types of elements, vulnerability functions in terms of several hazard intensities were developed, given that different intensities show good correlation with the damage of different types of elements.
