摘要
在复杂的山地地形条件下,低层风场受地形影响较大。目前,山地气象观测站点数量有限,且分布不均匀,导致对低层风场的研究和利用滞后。如何利用有限的气象观测资料获取精细结构的山地低层风场数据具有重要的研究价值。文章综述了国内外对山地低层风场模拟在预测模式和诊断模式的研究进展,并提出了提高小尺度和微尺度山地低层风场模拟精度的建议:①综合利用G IS、RS技术提高小地形因子等影响因素的提取精度;②应用一些基于G IS的数量方法,如空间自回归分析地理加权回归分析以及神经网络、支持向量机等非线性理论分析方法来进行研究。
In the conditions of complex mountainous terrain, the low layer wind field is influenced significantly by the topography. The lagging research and utilization in low layer wind field results from the current conditions of the mountain meteorological observation stations which have a limited number and an uneven distribution. How to use the limited meteorological observation data to obtain the meticulous wind field data is of important research value. At present there are two main research ways on wind field simulation in low layer over Mountain. They are predictive model and diagnostic model. This paper reviewed the domestic and foreign research achievements and put forward recommendations to improve the simulation accuracy of small - scale and micro - scale wind field in low layer over mountain： 1 ） synthetically use the techniques of GIS and RS to improve the extraction accuracy of influencing factors such as small -terrain; 2） apply some quantitative approaches based on GIS to this research, such as spatial autoregressive analysis, geographic weighted regression analysis, and neural network, support vector machine and other non - linear theory analysis methods.
出处
《内蒙古林业调查设计》
2010年第2期113-115,共3页
Inner Mongolia Forestry Investigation and Design
基金
国家科技支撑项目"西南林区火灾扑救技术"(2006BAD04B0503)
云南省科技攻关项目(2006SG26)的部分研究内容
关键词
山地低层风场
复杂地形
模拟
wind field in low layer over mountain
complex terrain
simulation
