Sandpile Experiments Based On Self-Organized Criticality For Describing Algal Bloom Behavior & Quantum Computation Of Chemical Bond Energy Of Chlorophyll In Alga

Sandpile Model(SM) is one of typical experimental method based on Self- organized criticality(SOC) theory in common physical laboratories. With SOC theory and SM many complex open systems to have self-organized fluctuation behavior have been studied. It is known that the algal bloom system is one of the biochemical dynamical water area systems which have a lot of features, such as multi-factors coupling, multidimensional fluctuation and obvious self-organized criticality. The formation, eruption, spread, duration and disappearance of algae has complicated, non-linear and self-organized criticality relationships which would be similar to the content of the water eutrophication substance. Based on SOC theory, we did sandpile experiment with cylindrical grain. By processing data and reconstructing data, we obtained high relevant power rate function K=a(Δw)^b,which indicated these sandpile systems have SOC.During the algal bloom, we found that different water system have different nutrition salinity. This is similar to different sandpile systems have different critical weight. Also in a water system, nutrition change before and after algal bloom is insignificant, this is just like sandpile fluctuate nearby the critical altitude HC. Thus indicate that both algal bloom process and sandpile growth/avalanche evolutionary process own SOC. Next, we look into the relationship among sandpile system, underpan and grain. By reconstructing the statistical data a and b of function K=a(Δw)^b, we obtain coordination parameter Y₁ and Y₂ defined as the tendency of algae bloom. We try to describe self-organized critical behavior of algae bloom's eruption and disappearance process through Y₁ and Y₂. There is good linearity relationship between Y₁ and L/d (standing for nutrition salt quantities that move into water system);Y₂ and D (standing for nutrition salt capacity of water system) present good linear inverse correlation. Analyzing the relevant reference, it might be proved that the bigger L/d value (input value bigger) is, the higher the algae bloom tendency Y₁ is to be; The bigger D value (system load ability higher)is, the less tendency (possibility) Y₂ is to be .Meanwhile, by studying the quantum computation of chemical bonds energy of chlorophyll a molecular structure during the photosynthesis which is vital to algae's growth, we attempt to reveal relations between light wavelength and algal growth in...