[1]余 莉,甘 淑*,袁希平.喀斯特山地流域边界多层次提取的径流树模型[J].山地学报,2016,(05):615-622.[doi:10.16089/j.cnki.1008-2786.000169]
 YU Li,GAN Shu,YUAN Xiping.A Stream-tree Model for Drainage Boundary Extraction of Multi-hierarchical in Karst Mountains[J].Mountain Research,2016,(05):615-622.[doi:10.16089/j.cnki.1008-2786.000169]
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喀斯特山地流域边界多层次提取的径流树模型()
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《山地学报》[ISSN:1008-2186/CN:51-1516]

卷:
期数:
2016年05期
页码:
615-622
栏目:
山地信息技术
出版日期:
2016-09-30

文章信息/Info

Title:
A Stream-tree Model for Drainage Boundary Extraction of Multi-hierarchical in Karst Mountains
文章编号:
1008-2786-(2016)5-615-08
作者:
余 莉 甘 淑* 袁希平
昆明理工大学国土资源工程学院, 云南 昆明 650093
Author(s):
YU Li GAN Shu YUAN Xiping
Faculty of Land and Resource Engineering, Kunming University of Science and Technology, Kunming 650093, China
关键词:
流域边界 喀斯特山地 空间粒度 径流树模型
Keywords:
drainage boundary karst mountains spatial granularity a stream-tree model
分类号:
P2081
DOI:
10.16089/j.cnki.1008-2786.000169
文献标志码:
A
摘要:
流域边界的确定是进行山地区域脆弱生态环境信息分析、评价及资源合理配置的重要基础,但提取过程中往往存在流域空间单元图斑破碎、流域空间粒度单一的不足。研究考虑了喀斯特山地的地表环境条件特殊性,综合数字水文地形模型在喀斯特流域边界提取的优势,提出了喀斯特山地流域边界多层次提取的径流树模型。方法基于坡面径流模拟算法对单一径流和集水区的准确划分,构建空间径流树模型,并以径流末端或出水口作为搜索终止条件,搜索判断所有径流的空间相交关系以控制不同层次的流域集水区合并,算法时间复杂度为O(nlogn)。最后,实验验证运用算法对珠江源头流域进行了四个层次的流域提取处理,提取得到的不同层次细节的流域界线,并与综合云南省流域分布图、等高线和人工实测的流域界线相吻合。
Abstract:
Drainage boundary extraction is the foundation of analyzing and evaluating fragile eco-environment information and reasonably allocating resources in mountain areas. However, in single spatial granularity, some drainage is divided into small pieces with meaningless. Considering the particularity of land surface environment in Karst Mountains, and integrating the advantages of digital hydrology and geomorphology model in Karst drainage boundary extraction, our research proposed a stream-tree model for drainage boundary extraction of multi-hierarchical in Karst Mountains. The overland flow simulation approach is used to receive streams and catchments accurately. Taking the end of streams or outlets as terminal conditions, the algorithm searches and judges the spatial intersection relationship of streams to merge catchments what belong to the same drainage in different hierarchies. These features are within O(nlogn) time, where n time, where the number of streams. Finally, by the stream-tree model, experiment extracts drainage boundaries with different details in four hierarchies at the source of Pearl River. Results were consistent with drainage boundary which is drawn by the figure of basin distribution, contours, and artificial surveying in Yunnan province.

参考文献/References:

[1] Puecker T K,Doughlas D H. Detection of surface-specific points by local parallel processing of discrete terrain elevation data [J]. Computer Graphics and Image Processing,1975,4(4): 375-387
[2] 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
[3] Mark D M. Automated detection of drainage networks from digital elevation models [J]. Cartographica: The International Journal for Geographic Information and Geovisualization,1984,21(2-3): 168-178
[4] Yoeli P. Computer-assisted determination of the valley and ridge lines of digital terrain models [J]. International Yearbook of Cartography,1984,24: 197-206
[5] Fairfield J,Leymarie P. Drainage networks from grid digital elevation models [J]. Water Resources Research,1991,27(5): 709-717
[6] Freeman T G. Calculating catchment area with divergent flow based on a regular grid [J]. Computers & Geosciences,1991,17(3): 413-422
[7] Lea N L. An aspect driven kinematic routing algorithm [J]. Overland flow: Hydraulics and erosion mechanics,1992: 393-407
[8] Costa-Cabral M C,Burges S J. Digital elevation model networks(DEMON): A model of flow over hillslope for computation of contributing and dispersal areas [J]. Water Resources Research,1994,30(6): 1681-1692
[9] Tarboton D G. A new method for the determination of flow directions and upslope areas in grid digital elevation models [J]. Water Resources Research,1997,33(2): 309-319
[10] Tribe A. Automated recognition of valley lines and drainage networks from grid digital elevation models: A review and a new method [J]. Journal of Hydrology,1992,139(1): 263-293
[11] Garbrecht J,Martz L W. The assignment of drainage direction over flat surfaces in raster digital elevation models [J]. Journal of Hydrology,1997,193(1-4): 204-213
[12] Martz L W,Garbrecht J. An outlet breaching algorithm for the treatment of closed depressions in a raster DEM [J]. Computer & Geosciences,1999,25(7): 835-844
[13] Martz L W,Garbrecht J. Numerical definition of drainage network and subcatchment areas from digital elevation models [J]. Computer & Geosciences,1992,18(6): 747-761
[14] Lin W T, Chou W C, Lin C Y, et al. Automated suitable drainage network extraction from digital elevation models in Taiwan's upstream watersheds [J]. Hydrological Processes, 2006, 20(2): 289-306
[15] Yi Weihua,Yang Ping. Determination of drainage area threshold for extraction of DEM-based digital drainage network [J]. Jiangxi Hydraulic Science & Technology,2008,34(4): 259-262[易卫华,杨平. 基于DEM数字河网提取时集水面积阈值的确定[J]. 江西水利科技,2008, 34(4): 259-262]
[16] Gao Xiang,Cai Xiongfei,Wang Ji,et al. Distributed soil erosion estimation model for small watershed in Karst area [J]. Mountain Research,2013,31(5): 542-547[高翔,蔡雄飞,王济,等. 喀斯特小流域分布式土壤侵蚀估算模型[J]. 山地学报,2013,31(5): 542-547]
[17] He Zhonghua,Liang Hong,Huang Fasu,et al. ASTER supported research on automatic extraction of karst surface water-A case in Guizhou province [J]. Carsologica Sinica,2007,26(4): 356-362[贺中华,梁虹,黄法苏,等. 基于ASTER的喀斯特流域地表水系自动提取研究——以贵州省为例[J]. 中国喀斯特,2007,26(4): 356-362]
[18] Li Jinyi,Shu Dongcai,Liang Hong,et al. Construction of digital watershed in karst region based on Arc Hydro [J]. Water Resources and Power,2010,28(1): 25-27[李金益,舒栋才,梁虹,等. 基于Arc Hydro的喀斯特地区数字流域的构建[J]. 水电能源科学,2010,28(1): 25-27]
[19] Ai Tinghua,Cheng Jianguo. Key issues of multi scale representation of spatial data [J]. Geomatics and Information Science of Wuhan University,2005,30(5): 377-382[艾廷华,成建国. 对空间数据多尺度表达有关问题的思考[J]. 武汉大学学报:信息科学版,2005,30(5): 377-382]
[20] Liu Kai,Long Yi,Qin Yaochen. On the spatial granularity of geographical information [J]. Geography and Geo-Information Science,2014,30(1): 8-12[刘凯,龙毅,秦耀辰. 论地理信息的空间粒度[J]. 地理与地理信息科学,2014,30(1): 8-12]
[21] Wang Jiayao,Cheng Yi. The multiple character of spatial data and automated generalization [J]. Hydrographic Surveying and Charting,2004,24(4): 1-3[王家耀, 成毅. 空间数据的多尺度特征与自动综合[J]. 海洋测绘,2004,24(4): 1-3]
[22] Strahler A N. Quantitative analysis of watershed geomorphology[J]. Transactions American Geophysical Union, 1957, 38(6): 913-920

备注/Memo

备注/Memo:
收稿日期(Received date):2015-10-05; 修回日期(Accepted):2015-11-26。
基金项目(Foundation item):国家自然科学基金-地区科学基金项目(41561083; 71163023; 41261092)。[National Natural Science Foundation of China(41561083; 71163023; 41261092).]
作者简介(Biography):余莉(1987-),女,云南开远人,博士研究生,主要从事空间数据挖掘、建模与分析研究。[Yu Li(1987-), female, born in Kaiyuan, Yunnan province,Ph.D candidate,research on spatial data mining, modeling and analysis.] E-mail: woshiyuli@126.com
*通信作者(Corresponding author):甘淑(1964-),女,云南腾冲人,博士,教授,主要从事摄影测量与遥感、土地资源管理。[Gan Shu(1964-), female, born in Tengchong, Yunnan province, Ph D, professor, research on photogrammetry, remote sensing and management of land resources.] E-mail:18388180059@163.com
更新日期/Last Update: 2016-09-30