Evaluating success of various restorative interventions through drone‐ and field‐collected data, using six putative framework species in Argentinian Patagonia

2019 ◽  
Vol 28 (S1) ◽  
Author(s):  
Daniel R. Pérez ◽  
Claudio Pilustrelli ◽  
Fernando M. Farinaccio ◽  
Guillermo Sabino ◽  
James Aronson
Keyword(s):  
Framework Species

Direct N2O decomposition over ex-framework FeMFI catalysts. Role of extra-framework species

2002 ◽  
Vol 3 (1) ◽  
pp. 19-23 ◽  
Author(s):  
Javier Pérez-Ramı́rez ◽  
Freek Kapteijn ◽  
Guido Mul ◽  
Jacob A Moulijn
Keyword(s):  
N2o Decomposition ◽  
Framework Species

scholarly journals Monte Carlo simulations of two-component drop growth by stochastic coalescence

2008 ◽  
Vol 8 (2) ◽  
pp. 7289-7313 ◽  
Author(s):  
L. Alfonso ◽  
G. B. Raga ◽  
D. Baumgardner
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Stochastic Algorithm ◽  
Aerosol Composition ◽  
Particle Charging ◽  
Two Component ◽  
Different Types ◽  
Framework Species ◽  
Stochastic Coalescence ◽  
Good Agreement

Abstract. The evolution of two-dimensional drop distributions is simulated in this study using a Monte Carlo method.~The stochastic algorithm of Gillespie (1976) for chemical reactions in the formulation proposed by Laurenzi et al. (2002) was used to simulate the kinetic behavior of the drop population. Within this framework species are defined as droplets of specific size and aerosol composition. The performance of the algorithm was checked by comparing the numerical with the analytical solutions found by Lushnikov (1975). Very good agreement was observed between the Monte Carlo simulations and the analytical solution. Simulation results are presented for bi-variate constant and hydrodynamic kernels. The algorithm can be easily extended to incorporate various properties of clouds such as including several crystal habits, different types of soluble CCN, particle charging and drop breakup.

Towards a dryland framework species approach. Research in progress in the Monte Austral of Argentina

2019 ◽  
Vol 161 ◽  
pp. 1-10 ◽  
Author(s):  
Daniel R. Pérez ◽  
Fernando M. Farinaccio ◽  
James Aronson
Keyword(s):  
Framework Species

Characterization of extra-framework species of steamed and acid washed faujasite by MQMAS NMR and IR measurements

2001 ◽  
Vol 207 (1-2) ◽  
pp. 367-377 ◽  
Author(s):  
S.M.C Menezes ◽  
V.L Camorim ◽  
Y.L Lam ◽  
R.A.S San Gil ◽  
A Bailly ◽  
...  
Keyword(s):  
Framework Species

Reactivity of Extra-framework Species of USY Zeolites in Alkaline Medium

2010 ◽  
Vol 637 (1) ◽  
pp. 75-82 ◽  
Author(s):  
Wolfgang Lutz ◽  
Rainer Bertram ◽  
Detlef Heidemann ◽  
Rolf Kurzhals ◽  
Claus Rüscher ◽  
...  
Keyword(s):  
Alkaline Medium ◽  
Framework Species

First-Formed Framework Species and Phosphate Structure Distributions in Phosphorus-Modified MFI Zeolites

2021 ◽  
Author(s):  
Kuizhi Chen ◽  
Anya Zornes ◽  
Reda Bababrik ◽  
Jacob Crouch ◽  
Walter Alvarez ◽  
...  
Keyword(s):  
Framework Species ◽  
Mfi Zeolites

scholarly journals Monte Carlo simulations of two-component drop growth by stochastic coalescence

2009 ◽  
Vol 9 (4) ◽  
pp. 1241-1251 ◽  
Author(s):  
L. Alfonso ◽  
G. B. Raga ◽  
D. Baumgardner
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Numerical Solutions ◽  
Initial Conditions ◽  
Stochastic Algorithm ◽  
Aerosol Composition ◽  
Aerosol Mass ◽  
Two Component ◽  
Framework Species ◽  
Stochastic Coalescence

Abstract. The evolution of two-dimensional drop distributions is simulated in this study using a Monte Carlo method. The stochastic algorithm of Gillespie (1976) for chemical reactions in the formulation proposed by Laurenzi et al. (2002) was used to simulate the kinetic behavior of the drop population. Within this framework, species are defined as droplets of specific size and aerosol composition. The performance of the algorithm was checked by a comparison with the analytical solutions found by Lushnikov (1975) and Golovin (1963) and with finite difference solutions of the two-component kinetic collection equation obtained for the Golovin (sum) and hydrodynamic kernels. Very good agreement was observed between the Monte Carlo simulations and the analytical and numerical solutions. A simulation for realistic initial conditions is presented for the hydrodynamic kernel. As expected, the aerosol mass is shifted from small to large particles due to collection process. This algorithm could be extended to incorporate various properties of clouds such several crystals habits, different types of soluble CCN, particle charging and drop breakup.

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