首页 | 本学科首页   官方微博 | 高级检索  
     检索      

坡度分级方法对坡度制图的影响
引用本文:朱奇峰,杨勤科,师动,王春梅.坡度分级方法对坡度制图的影响[J].水土保持通报,2017,37(3):314-320.
作者姓名:朱奇峰  杨勤科  师动  王春梅
作者单位:西北大学城市与环境学院,陕西西安,710127
基金项目:国家自然科学基金项目“地表坡度的统计分布理论模型研究”(41371274),“黄土丘陵沟壑区侵蚀地形空间频率层次性研究”(41301284)
摘    要:目的]利用多种分级方法进行坡度制图,探究不同分级方法对坡度制图带来的影响。方法]选取陕西省绥德县,陕西省眉县境内的秦岭山区,黑龙江拜泉县的3个样区,用多种分级法对坡度进行分级,利用量化指标分析坡度分级对坡度格局和统计分布的影响。结果](1)就一个样区而言,分位数或Evans分级法比较好;不同地区比较,选用统一分级方案较好;(2)分级后的坡度空间变异急剧减少;(3)所有分级都使坡度信息有所损失;(4)所有分级均难以准确表现坡度的统计分布规律。结论](1)坡度表面和自然断点分级方法效果较好。(2)随着分级间距的增加,坡度信息量快速减少。(3)坡度统计分布的分析须用坡度表面和自然断点分级进行制图。

关 键 词:坡度  坡度分级  空间格局  信息容量
收稿时间:2017/1/12 0:00:00
修稿时间:2017/2/17 0:00:00

Influence of Slope Classification Method on Slope Mapping
ZHU Qifeng,YANG Qinke,SHI Dong and WANG Chunmei.Influence of Slope Classification Method on Slope Mapping[J].Bulletin of Soil and Water Conservation,2017,37(3):314-320.
Authors:ZHU Qifeng  YANG Qinke  SHI Dong and WANG Chunmei
Institution:College of Urban and Environment Science, Northwest University, Xi''an, Shaanxi 710127, China,College of Urban and Environment Science, Northwest University, Xi''an, Shaanxi 710127, China,College of Urban and Environment Science, Northwest University, Xi''an, Shaanxi 710127, China and College of Urban and Environment Science, Northwest University, Xi''an, Shaanxi 710127, China
Abstract:Objective] A variety of slope classification methods was applied for slope mapping to explore the influence of different methods on them.Methods] We selected three sites that are in Suide County of Shaanxi Province, Qinling Mountains in Meixian County of Shaanxi Province and Baiquan County of Heilongjiang Province as the case study areas. A variety of slope classification methods were applied to classify slope. Using the quantitative indicators, we analyzed the spatial pattern and statistical distribution characteristics of slope map.Results] (1) For specific site mapping, quantile or Evans classification method is better; while for comparison of different sites, unified classification scheme is better; (2) Spatial variation decreased dramatically after slope was classified; (3) All slope classification methods lose some slope information; (4) All slope classification schemes were difficult to represent statistical distribution law of slope accurately.Conclusion] (1) The slope surface and natural breakpoint methods are better; (2) With the increase of grading space, slope information declines rapidly in a power function; (3) Statistical distribution of slope is better to be mapped with slope surface and natural breakpoint methods.
Keywords:slope  slope classification  space structure  information content
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《水土保持通报》浏览原始摘要信息
点击此处可从《水土保持通报》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号