中国农业气象

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采用地统计学和GIS技术对东北地区不同时期降水的分析

蔡福;明惠青;刘兵;于慧波;   

  1. 中国气象局沈阳大气环境研究所,沈阳农业大学,沈阳农业大学,辽宁省气象局 沈阳110016
  • 出版日期:2006-08-10 发布日期:2006-08-10
  • 基金资助:
    中国气象局沈阳大气环境研究所课题启动项目(2005046)

Analysis of Precipitation for Different Periods in Northeast China Based on Geo-statistics and GIS

CAI Fu~(1),MING Hui-qing~(2),LIU Bing~(2),YU Hui-bo~(3)(1.Institute of Atmospheric Environment,Chinese Meteorological Administration,Shenyang 110016,China;2.Shenyang Agricultural University;3.Meteorological Bureau of Liaoning Province)   

  • Online:2006-08-10 Published:2006-08-10

摘要: 采用地统计学与GIS技术相结合的方法对东北地区146个站1961-1990年与1971-2000年的年降水和夏季降水气候值进行分析,与传统统计方法的结果对比后认为传统的统计方法不能真实地反映不同时段数据的差异。通过在GIS平台上对两组气候值差异百分比的空间分布分析得出:黑龙江西南部以及东部部分地区、吉林东南部和辽宁中部地区夏季降水量增加3%~6%,其余地区减少,其中辽宁南部和西北部减少幅度最大,达6%~9%;黑龙江大部、吉林东部以及辽宁中部地区年降水量增加,其余地区减少,辽宁南部地区减少幅度最大,达6%~9%。

关键词: 地统计学, GIS技术, 东北地区, 降水

Abstract: Based on methods of geo-statistics integrating GIS analyzing,a comparison was made between two 30-year climatic averages of precipitation element from 1971 to 2000 and 1961 to 1990 in 146 meteorological stations in Northeast China.With the comparison,we came to a conclusion that the difference of precipitation between two periods could not be truly demonstrated by traditional statistic method,on the contrary,could be showed objectively and truly by the geo-statistical integrating GIS analyzing method.The spatial maps on difference between two climatic data were built on GIS platform.It was concluded that the precipitation had increased in a range from 3% to 6% in Southwestern and Eastern Heilongjiang Province,Southeastern Jilin Province and Middle Liaoning Province,while it had decreased in the other regions of Northeast China in summer,with the biggest extent from 6% to 9% in Southern and Northwest Liaoning Province.The sum of annual precipitation had increased in the most of regions in Heilongjiang Province,Eastern Jilin Province and Middle Liaoning Province,and had decreased in the other regions of Northeast China,with the biggest extent from 6% to 9% in southern Liaoning Province.

Key words: Geo-statistics, Geo-statistics, GIS technique, Northeast China, Precipitation