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2018•IOP Conference Series Earth and Environmental ScienceOpen access

One-dimensional Poisson marked point process model and Its Random Characteristic Analysis in Haze Weather

Yonghua Zhu, Shunzi Li

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Abstract

In this paper, a One-dimensional Poisson marked point process model with haze intensity as the marked point is established. The parameters of the model are estimated based on the measured data of haze. Finally, the probability of haze occurrence with different intensities and the important digital characteristics of haze occurrence above severe are calculated.

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In this paper, a One-dimensional Poisson marked point process model with haze intensity as the marked point is established. The parameters of the model are estimated based on the measured data of haze. Finally, the probability of haze occurrence with different intensities and the important digital characteristics of haze occurrence above severe are calculated.

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Available abstract

In this paper, a One-dimensional Poisson marked point process model with haze intensity as the marked point is established. The parameters of the model are estimated based on the measured data of haze. Finally, the probability of haze occurrence with different intensities and the important digital characteristics of haze occurrence above severe are calculated.

Key concepts: Haze, Poisson distribution, Point process, Poisson point process, Poisson process, Environmental science, Meteorology, Point (geometry)

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