Cellular automata (CA) models have been for several years, employed to describe urban phenomena like growth of human settlements, changes in land use and, more recently, dispersion of air pollutants. We propose to adapt CA to study the dispersion of anthropogenic heat emissions on the micro scale. Three dimensional cubic CA with a constant cell size of 0.15 m have been implemented. Simulations ...

Land-use regression (LUR) models are increasingly used to estimate exposure to air pollution in urban areas. An appropriate monitoring network is an important component in the development of a robust LUR model. In this study concentrations of NO2 were simulated by a dispersion model at ‘virtual’ monitoring sites in 54 network designs of varying numbers and types of site, using a 25 km2 area in ...

suitability analysis is a prerequisite for sustainable agricultural production and it involves evaluation of the environmental parameters. the development and creation of appropriate points for this land use without considering environmental capability will result in the appearance of several ecological, economic, and social problems. the multi-criteria decision making (mcdm) models were used f...

Full waveform inversion (FWI) has been used to successfully build high-resolution earth velocity models for marine data. For land data sets, FWI using acoustic wave equation (acoustic-FWI) remains challenging due to the lack of modeling of strong surface waves, converted waves, phase dispersion, and near-surface weathering layer distortion. In addition, for land dynamite surveys, the source wav...

Land use change is driven by interaction in space and time between humans and the environment that can be captured by computer simulation models (Veldkamp and Verburg, 2004). In the last few decades, land use change models have played an important role in understanding the causes, mechanisms and consequences of land use dynamics. SLEUTH is an open source cellular automata based land use change ...

Shear-wave velocity ( ) is an important parameter used for site characterization in geotechnical engineering. However, dispersion curve inversion is challenging for most inversion methods due to its high non-linearity and mix-determined trait. In order to overcome these problems, in this study, a joint inversion strategy is proposed based on the particle swarm optimization (PSO) algorithm. The ...