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高程梯度性质和算法不确定性的初步分析
引用本文:朱奇峰,杨勤科,龙永清,王春梅,庞国伟,师动.高程梯度性质和算法不确定性的初步分析[J].水土保持研究,2017,24(4):19-26.
作者姓名:朱奇峰  杨勤科  龙永清  王春梅  庞国伟  师动
作者单位:西北大学 城市与环境学院, 西安 710127
基金项目:国家自然科学基金(41371274;41301284),陕西省自然科学基础研究计划(2014JQ5182)
摘    要:高程梯度指高程在平面坐标中xy两个方向上的变化率。在坡度算法θ=(p2+q2)/2中分别用pq表示,因为高程梯度pq算法的不同而衍生出多种坡度算法,因此对p,q算法性质和精度的研究是坡度算法精度评价的基础。选取陕西省绥德县、秦岭、黑龙江省拜泉县的三个样区,基于7种不同算法计算了高程梯度(pq),并对其统计分布特征、空间结构特征、pq相互关系、算法稳定性与不确定性等进行了分析。结果表明:(1)pq均值为零,相互独立,方差相等,呈正态分布;(2)各种算法均能表现局地结构和样区之间的差异;(3)从算法稳定性、精度等方面看,Evans-Young算法,特别是经过Shary改进的Evans-Young算法的效果最佳。

关 键 词:高程梯度  高程梯度算法  统计分布  算法稳定性

Preliminary Properties and Precision Analysis of Elevation Gradient Algorithm
ZHU Qifeng,YANG Qinke,LONG Yongqing,WANG Chunmei,PANG Guowei,SHI Dong.Preliminary Properties and Precision Analysis of Elevation Gradient Algorithm[J].Research of Soil and Water Conservation,2017,24(4):19-26.
Authors:ZHU Qifeng  YANG Qinke  LONG Yongqing  WANG Chunmei  PANG Guowei  SHI Dong
Institution:College of Urban and Environment Science, Northwest University, Xi’an 710127, China
Abstract:Elevation gradient is the ratio of the elevation in x & y direction of Cartesian coordinate system,usually they are denoted as p and q in the general algorithm of slope steepness,i.e.θ =(p2+q2)/2.The differences of varied slope algorithms are mainly due to the different algorithms of p and q,and therefore,the accuracy of slope steepness depends on the precision of p and q algorithms,p and q have been calculated and analyzed in seven p/q algorithms in three sample sites,including Suide and Qinling of loess hills in Shaanxi Province,Baiquan of undulate hill in Heilongjiang Province.The analysis includes statistical distribution and spatial pattern (or structure) of p and q,the interrelation of p and q,the stability and uncertainty of algorithms.The results show that:(1) the mean values of p and q are almost zero,p and q are independent from each other,the variance of p and q are equal,and they follow the pattern of normal distribution;(2) all algorithms can represent the local structure and the differences among the sample sites;(3) with respect to the algorithm stability and uncertainty,Evans-Young algorithm,especially the improved EvansYoung algorithm by Shary is the best.
Keywords:elevation gradient  elevation gradient algorithm  statistical distribution  stability of algorithms
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