期刊文献+

无定河流域降雨量空间变异性研究 被引量:48

Analysis of the spatial variability of rainfall in Wuding River Basin
下载PDF
导出
摘要 运用地质统计学中的普通KRIGING方法 ,对 1 990~ 1 997年无定河流域 67个雨量站的年降雨量进行了插值及空间场变异分析。分析发现降雨量的频率分布符合对数正态分布 ,采用对数克立格方法为计算工具进行分析 ,结果显示实验半变异函数符合一般的球状模型。从获得的参数可知 ,1 990~ 1 997年期间 ,变程各不相同 ,甚至差异很大。 1 991年最小 ,为2 0 1 7km ,1 994年最大 ,为 68 65km ,说明了该年无定河流域的降雨量空间变化在所分析的时间序列中是最缓和的 ,这与 1 994年的变异系数最小也相吻合。同时各个年份计算结果均显示有块金值 ,说明在小于变程的空间尺度上仍然存在随机效应。最后运用克立格方法对该流域的部分区域降雨量进行了空间插值成图。 The Wuding river basin lies in the middle reaches of the Yellow River, the typical area of the Loess Plateau which is characterizedby serious soil erosion. So the analysis of hydrological factors such as precipitation is invaluable for understanding water cycle process and its impact on the watershed. Geostatistical methods, originating from geology in the 1950s, have been expanded to many other scientific fields for their unique statistical and interpolating advantages. In this paper, we tried and applied ordinary Kriging(OK) technique,one of the geostatistical methods, to analyze the spatial variability of annual precipitation at 67 rainfall stations for this watershedduring the period from 1990 to 1997. Because of the attributes of the rainfall data of which the frequencydistribution tallies with logarithmicnormal distribution, the original data were processed by logarithmictransformation, corresponding thelogarithmic Kriging technique was takenas the analyzing and interpolating method, which made the application of geostatistical technique more convenient and easier,also the analysis more reasonable. The result revealed that the semi-variograms of rainfall were best described by spherical variogram model, suitable to most natural variables, and subsequently it was chosento fit in the needed parameters for interpolation. Fromthe final parameters attained,it was indicated that the rangesof eachyear in the studied timeseries were not the same, even varied greatly. The range of 1991 was up to 20.17 km, whichwas the minimum, while that of 1994 appearedto be 68.65 km, with thecoefficient of variability of the year being the minimal. This consequence can best explain that the period of 1994 was the most evenperiod in the time series for the variability of rainfall in Wuding river basin. In the meantime, studies indicated the existence of thenugget effect in each year; which may be primarily caused by random factors at a spatial scale less than the range. After the analysis of rainfall data usingKriging technique, three-dimensional maps of different years were created for the further study and utilization, which made the spatial variation easy to be discerned. The northeast and northwestparts are characteristic of low variations with low rainfall compared with other regions, while the middle part of the south exhibitshigh fluctuation. If the statistical analysis is combined with other maps such as the relief map or DEM, some other meaningful information can also be acquired.
出处 《地理研究》 CSCD 北大核心 2002年第4期434-440,T004,共8页 Geographical Research
基金 国家重大基础研究 ( 973 )项目 (G19990 43 60 2 ) 中国科学院地理科学与资源研究所创新主干项目(CXIOG E0 1 0 8 0 3 ) 中国科学院海外杰出青年专家合作项目
关键词 克立格方法 空间变异 无定河流域 降雨量 地质统计学 插值 ordinaryKriging technique spatial variability Wuding river basin rainfall
  • 相关文献

参考文献9

二级参考文献54

共引文献1046

同被引文献567

引证文献48

二级引证文献878

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部