基于3S技术的小陇山林区负离子动态监测与预测研究

Dynamic monitoring and forecasting of negative oxygen ions in Xiaolong Mountain forest region based on 3S technology.

负氧离子作为森林中的一种资源,其含量高低和分布已成为生态资源的重要指标之一,它对于开发生态旅游和提供最佳人居环境具有重要的指导意义。该研究通过分析采集到的小陇山负离子量和相关因子数据,建立小陇山林区森林资源分布与负离子、森林资源结构与负离子、水体与负离子、温度与负离子的相关模型和分级标准。依据这些模型和分级标准,利用遥感技术、地理信息技术、全球定位技术、网络技术和数据库技术,构建一个基于3S技术的实时的、可视化的、动态网络监测与预测预报系统,从而实现负离子综合等级图绘制,负离子含量动态显示、预测预报和样点的实时监测,为发展负离子农场、林场、湿地,建立负离子资源基地和开发规模化负离子资源提供决策依据。

As one forest resource,the content and distribution of negative oxygen ions have been considered as an important indicator of ecological resources.It has important significance in developing ecological tourism and providing an optimal residential environment.By analyzing the content of negative oxygen ions and correlation factors,the authors proposed new models and principles between negative oxygen ions and one of the other objects including distribution of forest resources,forest structures,water and temperature.Based on the corresponding models and principles of classification,the authors built a dynamic monitoring and forecasting system which is visible and in realtime by using 3S,simulation,network and database technologies.The system realizes the drawing of comprehensive rank charts,dynamic display,forecasting and real-time monitoring of negative oxygen ions.It will provide a decision-making basis for developing negative oxygen ions farm,forest farm,wetland or other large-scale utilization.