Li, S.L.; Liu, R.R., and Wang, P., 2020. Optimization of dust-containing rain water percolation system for traffic roads in coastal ecological sponge cities. In: Malvárez, G. and Navas, F. (eds.), Global Coastal Issues of 2020. Journal of Coastal Research, Special Issue No. 95, pp. 62–66. Coconut Creek (Florida), ISSN 0749-0208.

The traditional method of rain water percolation control model using probability analysis method failed to solve the quantitative relationship between the dusty rain water seepage and runoff and the statistical characteristic of rainfall in the traffic road of sponge city, and the modeling effect was not good. Based on sensor fusion tracking filter, a dust-containing rain water percolation control model for urban traffic in coastal ecological sponge cities is presented in this paper. The idea of fusion tracking filter is adopted to make the control function of rain water percolation control more close to the posterior probability density of water storage energy, which can effectively reflect rain water seepage quantity and planned runoff coefficient of traffic road in sponge city. The control function of rain water percolation control function is closer to the posterior probability density of water storage energy. The fuzzy fusion tracking filter is used to ensure the positive characterization of the covariance matrix of the traffic road dusty rain water percolation planning state and to realize the optimization design of the dusty rain water percolation system for the traffic roads in coastal ecological sponge cities. The simulation results show that the model can realize the maximum rationalization of the utilization of the dusty rain water in the traffic road of the coastal ecological sponge cities by using the model to utilize the dusty rain water and the planning control of the traffic roads in the coastal ecological sponge cities. It can provide theoretical basis and practical application reference for decision-making department to carry out urban planning and rain water utilization.