Abstract
The prediction of the environment in space and the description of its characteristics as well as the use of space debris model data to provide guidance for future launch activities to maintain the long-term sustainability of space have always been important objectives of space debris model use and construction. Because space debris model construction is accompanied by extensive randomness, the stochastic analysis method is adopted in this paper to model the flux data of the MASTER model through the population model. On this basis, stochastic terms are added for further analysis, and different stability classifications are given from the perspective of probability measures to distinguish flux stabilities that are difficult to distinguish by ordinary differential equations. The corresponding characteristics and future launch effects are also quantified. Finally, three different cases, fast convergence, slow convergence and long-term oscillation, are presented.
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