基于GIS的辽宁气温和降水空间扩展方法

Extend Methods of Spatial Distribution of Temperature and Precipitation Based on GIS in Liaoning Province

基于辽宁54个气象观测站1971-2000年气候整编资料的月平均气温和月平均降水资料,及辽宁地区500m×500mDEM数据,利用气候学原理和G IS技术,对辽宁地区气温和降水的空间扩展方法进行研究,建立基于常规气象观测资料的受地形影响的辽宁月平均气温和月平均降水量空间分布的估算模型。结果表明模型能较好的估算无观测资料地区的气温和降水的空间分布,实现了常规气象资料的空间扩展,为辽宁省资源开发、经济规划、环境规划、城市建设提供基础数据。

Based on the monthly temperature and precipitation data of 54 meteorological stations and 500m × 500m DEM of Liaoning Province, extend methods of spatial distribution of temperature and precipitation based on GIS in Liaoning Province were studied. A calculation model for spatial distribution of the temperature and precipitation was established, combined the conventional observed meteorological data with the topographic modification. The prediction results showed that the model had a strong ability to simulate the spatial distribution of the temperature and precipitation for areas where no observation data recorded. The model realized the spatial extend of the conventional meteorological data and its results could provide the basic data for resource exploitation, economy and environment scheme and city construction.