The purpose of this work was to analyze the mechanisms of the growth of drop clusters,leading on a finite-size lattice to a state close to a critical one with a power-law size distribution ofclusters similar to that observed in a seismic process. At the same time, the question of applicabilityof this model to the description of processes in a real geophysical medium remains. Analysis ofthe elements coupling in the one-dimensional OFC model with open boundary conditions allowsan estimation of the variability of the incoming energy to the lattice elements located at differentdistances from the boundaries. The constructed computational model makes it possible toestimate the size of the boundary areas of high average incoming energy variability at differentvalues of the coupling parameter α. It is shown that, as α grows, the boundary region of inhomogeneityexpands. It is shown that there are two different modes of synchronous drop fo rmation,simulating an earthquake. Both mechanisms are determined by the capture of a neighboringelement and the subsequent synchronization of the drops. This process forms a stabledrop of a larger size. The presence of boundary regions with a high gradient of the input energyrate is the main mechanism for the formation of clusters of lattice elements, demonstrating thesimultaneous drop of the accumulated energy. Such a synchronization is achieved due to thehigh mutual variability of energy at each iteration step. The second important mechanism ofcluster growth is typical for the formed clusters that exceed the size of the near-boundary regionof high inhomogeneity of the energy inflow. As the cluster size grows, the capture area ofneighboring elements that are not included in the cluster expands. Accordingly, the probabi litythat the energy of the neighboring element is in the capture area increases. The calculationsshow that the mean time of reaching the given size of the cluster on the lattice at different sp atialdimensions d and at different coupling parameters confirms the presence of two time intervalswith a different mechanism of cluster formation. In this case, the growth of large clusters hasa power-law character, with an exponent determined by the dimension d.
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