摘要
该文针对分形理论在描述监测站网分布时易受人为因素影响问题,提出了以回归效果显著,残差平方和最小和残差自相关性小为原则的确定尺度转折点的方法和基于GIS技术的点状数据确定尺度转折点的基本步骤,以期为研究尺度的科学确定提供参考。以全国灌溉试验数据库中河南省灌溉试验站点为主要数据源,在GIS支持下,研究分析了河南省灌溉试验站网不同尺度的空间分布的分形特征和维的分辨力。结果显示,目前的站网结构存在不同的尺度域,110～190、200～310、320～410和420～490 km尺度的分形维数分别为1.768、1.317、0.763和0.283,维的分辨力分别为0.232、0.683、1.237和1.717。表明目前的站网结构在110～190 km尺度的探测范围是最大的,不能很好地探测小于100 km尺度的作物需水规律,当探索大于420 km尺度的作物需水规律时,应对站点进行调整。
In order to overcome the problem that the determination of non-scale interval and fractal dimensional computation were affected by human factors, the new method of scale transformation was presented according to the principles of notable regression effect, the smallest residual sum of squares and weak autocorrelation of residual error, which providing reference for the determination of study scale. The inhomogeneous distribution of the measuring stations of irrigation experiment network in Henan province was described and its fractal characterization and the dimensional resolution were analyzed by means of GIS. The results showed that the station network distribution in Henan province had different scale domain, the fractal dimension of the 110～190, 200～310, 320～410 and 420～ 490 km range was 1.768, 1.317, 0.763 and 0.283, respectively, and their correspondingly dimensional resolutions were respectively 0.232, 0.683, 1.237 and 1.717. It had been indicated that the detectability of phenomena by the current network was highest in 110～ 190 km scale and did not describe well the crop water requirement in the scale of less than 100kin. In scale of more than 420kin, the current structure of network appeared redundance and some measuring stations should be reduced.
出处
《农业工程学报》
EI
CAS
CSCD
北大核心
2008年第2期6-10,共5页
Transactions of the Chinese Society of Agricultural Engineering
基金
国家自然科学基金(50609030)
国家863计划(2006AA100203、2006AA100209)
关键词
灌溉试验
站网
空间结构
分形
空间分辨力
irrigation experiment
stations network
spatial structure
fractal
spatial resolution
