In this paper, a novel three-dimensional environmental quality dynamic system is introduced. Bayesian estimation was used to\ncalibrate environmental quality variables, and Genetic algorithm (GA) optimized Levenberg-Marquardt Back Propagation (LMBP)\nneural network method was used to effectively identify the system parameters for calibration of various variables and official\ndata.The studies found that the effect of increasing investment in environmental protection on energy intensity and environmental\nquality is not obvious, and it also aggravates the economic instability. Adjustment of peak parameters of pollution emissions can\naccelerate the evolution of energy intensity and environmental quality to a stable speed and eventually stabilize with a certain value.\nBut if the peak value of pollution emissions reaches too early, it will pose a certain threat to the environment. Although the speed\nof ecological environment self-repair is increased, it cannot effectively reduce energy intensity, improve environmental quality, and\nmaintain economic growth; it can control the stability of the control system or effectively control pollution.Therefore, in order to\nimprove the environmental quality, we need to take more measures in parallel, use more means and resources for environmental\ngovernance, and ultimately achieve â??win-winâ? between environmental quality and economy.
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