面向子流域单元的典型黄土地貌分类研究

摘要/Abstract

摘要： 基于格网DEM的数字地貌形态类型自动划分是当前地貌研究的热点。根据基本分析单元的粒度大小，可将现有的分类方法划分为以栅格为分析单元和不规则坡面多边形为分析单元。然而，上述2种方法都无可避免地存在分类结果中地貌实体不完整性的问题。本文将分析单元提升至小流域级别，提出面向“细胞”级的微小尺度的子流域为分析对象的分类思想，利用GIS空间分析方法，构建子流域地理属性数据库，依据研究区已有的地貌资料，遴选出高程、起伏度、平均坡度、坡谱偏度4个核心分类指标，采用层次分类法，设定相应的地形因子阈值，将陕西省铜川市耀州区划分为：河漫滩、黄土残塬、黄土台塬、陡坡冲沟、墚峁状丘陵沟壑、石质小起伏平缓中山、石质小起伏陡峭中山以及水域等8大类型。分类结果最大程度保证了地貌实体的相对完整性，与用GPS进行的实地采样观测结果对比分析表明，该方案的分类精度达到88.19%，可望成为基于面向子流域单元进行数字地貌分类研究的有益探索。

关键词: 子流域, 地貌分类, 流域分割, 格网DEM, 铜川, 陕西

Abstract: In this paper, the analysis units were upgraded to the minor drainage basin level, and the subcatchments of the micro-scale oriented to the “cell” level were proposed as the classification idea of analysis object. The GIS spatial analysis was used to construct the geographic attribute database for subcatchments based on the available geomorphic data of the study area. Four key classification indicators including the elevation, relief degree of land surface, average slope and slope skewness were selected. The hierarchical classification method was used to set the thresholds of the corresponding topographic factors, and 8 types of landforms, i.e. the flood plains, residual loess tableland, loess platform, steep-slope gully, girder-like hilly gully, small rocky undulating temperate mid-mountain, small stone undulating steep-mountain and waters in Yaozhou District of Tongchuan City, Shaanxi Province were divided. The relative integrity of the landforms was maintained in the classification as much as possible. Compared with the field sampling observations performed by GPS, the classification accuracy of the study was as high as 88.19%, which is expected to be a digital geomorphological classification based on subcatchment.

Key words: subcatchment, landform classification, drainage basin, grid DEM, Tongchuan, Shaanxi

王乐, 周毅, 李阳. 面向子流域单元的典型黄土地貌分类研究[J]. 干旱区研究, 2019, 36(6): 1592-1598.

WANG Le, ZHOU Yi, LI Yang. Classification of Typical Loess Landforms in Subcatchments[J]. Arid Zone Research, 2019, 36(6): 1592-1598.

参考文献 28

[1]	李钜章.中国地貌形态基本类型数量指标初探[J].地理学报,1982,37(1):17-26.[Li Juzhang.A prelimitary study on the quantitative index of basic types of geomorophologic from in China[J].Acta Geographica Sinica,1982,37(1):17-26.]
[2]	Cheng Weiming,Zhou Chenghu,Li Bingyuan,et al.Structure and contents of layered classification system of digital geomorphology for China[J].Journal of Geographical Sciences，2011,21(5):771-790.
[3]	李炳元,潘保田,韩嘉福.中国陆地基本地貌类型及其划分指标探讨[J].第四纪研究,2008,28(4):535-543.[Li Bingyuan, Pan Baotian,Han Jiafu.Basic terrestrial geomorphological types in China and their circumscriptions[J].Quaternary Sciences，2008,28(4):535-543.]
[4]	赵力强,张律吕,王乃昂,等.巴丹吉林沙漠湖泊形态初步研究[J].干旱区研究,2018,35(5):1 001-1 011.[Zhao Liqiang,Zhang Lvlv,Wang Nai’ang,et al.Morphology of the lakes in the Badain Jaran Desert[J].Arid Zone Research,2018,35(5):1 001-1 011.]
[5]	Deng Yongxin.New trends in digital terrain analysis: Iandform defi nition,representation,and classification[J].Progress in Physical Geography,2007,31(4):405-419.
[6]	刘德林,李壁成.黄土高原小流域土地类型分类及制图研究——以固原市上黄试区为例[J].生态经济,2009,25(1):32-33，37.[Liu Delin,Li Bicheng.Classification and mapping of land type in small watershed in Loess Plateau:Take Shanghuang test area in Guyuan as an example[J].Ecological Economy,2009,25(1):32-33，37.]
[7]	姚永慧,周成虎,孙然好,等.基于多源数据的山地地貌数字解译[J].山地学报,2007,25(1):122-128.[Yao Yonghui,Zhou Chenghu,Sun Ranhao,et al.Digital mapping of mountain landforms based on multiple source data[J].Mountain Research,2007,25(1):122-128.]
[8]	闾国年,钱亚东,陈钟明.基于栅格数字高程模型提取特征地貌技术研究[J].地理学报,1998,53(6):562-569.[Lv Guonian,Qian Yadong,Chen Zhongming.Automated extraction of the characteristics of topography from grid digital elevation data[J].Acta Geographica Sinica,1998,53(6):562-569.]
[9]	程维明,周成虎,柴慧霞,等.中国陆地地貌基本形态类型定量提取与分析[J].地球信息科学学报,2009,11(6):725-736.[Cheng Weiming,Zhou Chenghu,Chai Huixia,et al.Quantitative extraction and analysis of basic morphological types of land geomorphology in China[J].Journal of Geo-Information Science,2009,11(6):725-736.]
[10]	肖飞,张百平,凌峰,等.基于DEM的地貌实体单元自动提取方法[J].地理研究,2008,27(2):459-466.[Xiao Fei,Zhang Baiping,Ling Feng,et al.DEM based autoextraction of geomorphic units[J].Geographical Research,2008,27(2):459-466.]
[11]	刘爱利,汤国安.中国地貌基本形态DEM的自动划分研究[J].地球信息科学,2006,8(4):8-14,5.[Liu Aili,Tang Guoan.DEM based auto-classification of Chinese landform[J].Journal of Geo-Information Science,2006,8(4):8-14,5.]
[12]	秦承志,朱阿兴,施迅,等.坡位渐变信息的模糊推理[J].地理研究，2007,26(6):1 165-1 175.[Qin Chengzhi,Zhu Axing,Shi Xun,et al.Fuzzy inference of spatial gradation of slope positions[J].Geographical Research,2007,26(6):1 165-1 175.]
[13]	Hossein S,Robert B,Forood S,et al.Landform classification from a digital elevation model and satellite imagery[J].Geomorphology,2008,100:453-464.
[14]	Demoulin A,Bovy B,Rixhon G,et al.An automated method to extract fluvial terraces from digital elevation models:The Vesdre valley,a case study in Eastern Belgium[J].Geomorphology,2007,91:51-64.
[15]	MacMillan R A,Pettapiece W W,Nolan S C,et al.A generic procedure for automatically segmenting landforms into landform elements using DEMs,heuristic rules and fuzzy logic[J].Fuzzy Sets and Systems,2000,113:81-109.
[16]	涂汉明,刘振东.中国地势起伏度研究[J].测绘学报,1991,20(4):311-319.[Tu Hanming,Liu Zhendong.Study on relief amplitude in China[J].Acta Geodaetica et Cartographica Sinica,1991,20(4):311-319.]
[17]	汤国安,赵牡丹,李天文,等.DEM提取黄土高原地面坡度的不确定性[J].地理学报,2003,58(6):824-830.[Tang Guoan,Zhao Mudan,Li Tianwen,et al.Modeling slope uncertainty derived from DEMs in Loess Plateau[J].Acta Geographica Sinica,2003,58(6):824-830.]
[18]	朱红春,陈楠,刘海英,等.自1∶10 000比例尺DEM提取地形起伏度——以陕北黄土高原的实验为例[J].测绘科学,2005,30(4):86-88,7.[Zhu Hongchun,Chen Nan,Liu Haiying,et al.Research on the relief based on 1∶10 000 DEMs:A case study in the Loess Plateau of north Shaanxi Province[J].Science of Surveying and Mapping,2005,30(4):86-88,7.]
[19]	田丹,刘爱利,丁浒,等.地貌形态类型面向对象分类法的改进[J].地理与地理信息科学,2016,32(2):46-50，43.[Tian Dan,Liu Aili,Ding Hu,et al.Improvement of objectoriented classification method for landform types[J].Geography and GeoInformation Science,2016,32(2):46-50，43.]
[20]	胡凡盛,杨太保,王晶,等.基于面向对象分类的马兰冰帽变化与气候响应[J].干旱区研究,2017,34(5):1 018-1 026.[Hu Fansheng,Yang Taibao,Wang Jing,et al.Variation of the Malan Ice Cap and its response to climate change based on object-oriented extraction method[J].Arid Zone Research,2017,34(5):1 018-1 026.]
[21]	常直杨,孙伟红,王建,等.青藏高原及其邻近地区地貌类型划分[J].山地学报,2017,35(1):1-8.[Chang Zhiyang,Sun Weihong,Wang Jian,et al.Object-oriented method based on classification of geomorphic type in the Tibet Plateau and adjacent regions[J].Mountain Research,2017,35(1):1-8.]
[22]	王耕,李素娟,张兴国.基于DEM的淮河源地貌形态类型划分[J].水土保持通报,2018,38(2):292-296.[Wang Geng,Li Sujuan,Zhang Xingguo.Classification of geomorphic forms of Huaihe River source based on DEM[J].Bulletin of Soil and Water Conservation,2018,38(2):292-296.]
[23]	胡最,聂阳意.基于DEM的湖南省地貌形态特征分类[J].地理与地理信息科学，2015,31(6):67-71.[Hu Zui,Nie Yangyi.DEM-based landform taxonomic features of Hunan Province[J].Geography and Geo-Information Science,2015,31(6):67-71.]
[24]	张少伟,郭勇,权红花.陕西省地理国(省)情监测中的基本地貌类型及划分指标[J].测绘标准化,2012,28(4):13-16.[Zhang Shaowei,Guo Yong,Quan Honghua.Fundamental relief types and their classification index used in provincial geographic conditions monitoring in Shaanxi[J].Standardization of Surveying and Mapping,2012,28(4):13-16.]
[25]	张哲夫.耀县之地貌[C]//西北大学黄土高原研究中心.耀县生态经济综合开发试验研究文集.西安:陕西人民出版社,1990:4-6.[Zhang Zhefu.The geomorphology of Yaoxian County[C]//Loess Plateau Research Center of Northwest University.The Experimental Research Paper on the Comprehensive Development of Ecological Economy in Yaoxian COUNTY.Xi’an:Shaanxi People’s Publishing House,1990:4-6.]
[26]	柴慧霞,程维明,乔玉良.中国“数字黄土地貌”分类体系探讨[J].地球信息科学,2006,8(2):6-13.[Chai Huixia,Cheng Weiming,Qiao Yuliang.Classification system of 1∶1 000 000 digital loess geomorphology in China[J].Journal of Geo-Information Science,2006,8(2):6-13.]
[27]	O’Callaghan J F,Mark D M.The extraction of drainage networks from digital elevation data[J].Computer Vision,Graphics and Image Processing,1984,28(3):323-344.
[28]	郭中小,魏永富,廖梓龙,等.锡林河流域地下水位管理阈值研究[J].干旱区研究,2017,34(3):479-486.[Guo Zhongxiao,Wei Yongfu,Liao Zilong,et al.Threshold values of groundwater level management in the Xilin River Basin[J].Arid Zone Research,2017,34(3):479-486.]