山区微尺度环境探测参数拟合“瘴气”曲线

无线探测网络(wireless sensor network,WSN)可以方便采集复杂微环境物理参数,通过对多参数曲线拟合,形成描述微环境的拟合参数集与拟合参数曲线。研究通过具有单向对流通道的山地微环境的WSN多参数连续探测,揭示了微环境的微颗粒搬移过程。山区微环境不同空间存在的植被残屑、花粉等有害粉末与山地团雾混合后,通过对流与山风等微环境气象形成的物质搬迁。当搬迁物质在低地空间产生物质沉积,成为山区瘴气等灾害动因。实验通过沿通道部署多参数WSN,通过对团雾的识别与颗粒密度(搬迁物质)峰值曲线拟合,证实了这种上团雾的迁移规律,部分证实了历史上瘴气存在与影响。

Detection Parameter Fitting "Miasma" Curve of the Mountain Area Microscale Environment

WSN can easy to capture the complex physical parameters of microenvironment, through the multi-parameter curve fitting to form the fitting parameter set and fitting parameters curve to describe microscale environment. Through the research of the WSN multi-parameter continuous detection about the unidirectional convection channel mountain area microenvironment, reveals the moving process of the micro-particles in microenvironment. In the microenvironments of the mountain area, after the mountain agglomerate fog mixed with the harmful powder, such as the vegetation debris, pollen, etc which exist in different space, through the convection and the mountain breeze and other microenvironment meteorology formed the material migration, when the migration material generate the material deposition in the lowlands space, then become the causes of the disasters of the mountains malaria and other. Deploy the multi-parameter WSN along the channel in experiment, through the recognition of agglomerate fog and the peak curve fitting of the density of pellet(migration material), confirmed the migration pattern of the agglomerate fog, partly confirmed the existence and impact of the malaria in history.