摘要
通过对陕西及周边地区观测的年降水数据进行趋势面和逐步回归分析,建立了宏观地理因子与降水的预测模型,通过小地形订正,获取空间分辨率为100m×100m的降水资源空间分布。结果表明,陕西年降水资源分布差异很大,从陕南秦巴山区的1700mm到陕北风沙滩地的300mm,从南到北呈明显的递减趋势,且山区降水多于河谷、盆地,形成水田、旱地、灌溉等不同的农业类型区。
Based on annual precipitation data of Shaanxi and its surrounding areas by trend surface analysis and stepwise regression analysis,a prediction model for macroscopic geographical factors and precipitation was established and it acquired 100m×100m spatial distribution of precipitation by micro-topography correction.The result indicated that there was great difference of precipitation distribution of Shaanxi.The precipitation in Qinba mountain area in South Shaanxi was 1700mm,that in sandy area in Northern Shaanxi was only 300mm.The distribution of precipitation showed an obvious descending trend from south to north in Shaanxi,and there was more precipitation in mountain area than in river valley and basin area.The different types of agricultural area such as paddy field,dry land and irrigation district were formed.
出处
《中国农业气象》
CSCD
2010年第S1期121-123,128,共4页
Chinese Journal of Agrometeorology
基金
陕西省重大科技专项(2009ZDKG-08)
陕西省气象局科技创新基金项目(2009M-35)
中国气象局业务建设项目"陕西林果气象服务系统"
关键词
降水
预测模型
空间插值
气候区划
Precipitation
Prediction model
Spatial interpolation
Climatic regionalization