Gaussian distribution model

Three modern and reasonably successful models of metal-DOM interactions are the competitive Gaussian distribution model (Susetyo et al., 1991), models V and VI (Tipping and Hurley, 1992 Tipping, 1994, 1998), and the family of nonideal competitive adsorption (NICA) models (Koopal et al., 1994 Benedetti et al., 1995 Benedetti et al., 1996 Milne et al., 2001). It is generally understood today that DOM... 

Gaussian Distribution Model. As reported earlier (22), neither pyrene nor DPA fluorophore yields monoexponential unimolecular decays once adsorbed onto the silica gel surface. The low surface coverage and the absence of pyrene excimers indicate that the surface probe exists as an isolated species. Previously, deviations from the first-order decay kinetics... 

Reference 27 formally addresses the mathematical derivations associated with the Gaussian distribution model as applicable to luminescence probing. 

Cyclic and pulsed voltammetric studies of Mb-surfac-tant films have been used to obtain electrochemical parameters such as electron transfer rate constants and formal potentials E° ), i.e. apparent standard potentials under given experimental conditions. Recent work has shown that a Gaussian distribution model for protein molecules with slightly different ° -values fits voltammetric data in thin surfactant films [26, 33]. This model was used with nonlinear regression to extract average ° and values from square wave voltammograms (SWV). Simple models for voltammetry of single species confined to the electrode surface did not fit the data, but formal potentials could be estimated from the midpoints of CV cathodic and anodic peaks. 

In the case of point sources, available dispersion models are typically based on assumption of a Gaussian distribution. The relative complexity and reliability of Gaussian distribution models are affected by parameters such as turbulence although modifications can be made to account for complex atmospherics. Reliability of the Gaussian approach is relatively satisfactory for distances up to about 100 km from the stationary source. Seinfeld and Pandis (1998) have published a comprehensive treatment of Gaussian... 

Dispersion coefficient The standard deviation sigma in a specified direction of the gaussian distribution model used in atmospheric dispersion. The dispersion coefficient is normally expressed as a function of distance for a given weather stability. 

---