The research of terrain flow-model representation based on particle system
LIU Pengcheng 1,2， HUANG Xin 1,2， GUO Mingwu3
(1.Key Laboratory for Geographical Process Analysis & Simulation，Hubei Province， Wuhan 430079， China；2.College of Urban and Environmental Science，Central China Normal University， Wuhan 430079， China；3.Wuhan Geometic Institute，Wuhan 430022)
Abstract：A method for visualizing the dynamic representation of terrain undulation based on particle systems is proposed. Firstly， the flow field data is constructed using a D8 algorithm and combined with the slope and other information based on the DEM data. The particles are deployed using a combination of spatial random uniformity and important feature positions， and the particle flow scene in the undulating terrain is simulated under the support of the particle system， thus indirectly realizing the DEM dynamic multi-scale visualization. The DEM data of Wuhan City is used to conduct experiments， and the particle flow effect simulated by this method is ablre to truly reflect the terrain characteristics. This study provides a new method for the representation of DEM data.
刘鹏程,黄 欣,郭明武. 粒子系统支持下地形流模式表达研究[J]. 华中师范大学学报(自然科学版), 2022, 56(3): 445-453.
LIU Pengcheng,HUANG Xin,GUO Mingwu. The research of terrain flow-model representation based on particle system. journal1, 2022, 56(3): 445-453.
2022, Vol. 56 
