中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
An efficient method for applying a differential equation to deriving the spatial distribution of specific catchment area from gridded digital elevation models

文献类型:期刊论文

作者Qin, Cheng-Zhi1,2,3,4; Ai, Bei-Bei1,4; Zhu, A-Xing2,3,4,5,6; Liu, Jun-Zhi2,3,5
刊名COMPUTERS & GEOSCIENCES
出版日期2017-03-01
卷号100页码:94-102
关键词Differential equation Gridded digital elevation model (DEM) Parallel computing Specific catchment area (SCA) Parameter sensitivity
ISSN号0098-3004
DOI10.1016/j.cageo.2016.12.009
通讯作者Qin, Cheng-Zhi(qincz@lreis.ac.cn)
英文摘要Deriving the spatial distribution of specific catchment area (SCA) from a gridded digital elevation model (DEM) is one of the most important issues in digital terrain analysis. Conventional methods usually estimate SCA for each cell using a flow direction algorithm, but the results obtained are often unsatisfactory. Recently, Gallant and Hutchinson (2011, Water Resources Research, 47(5), W05535) proposed a differential equation which quantifies the change of SCA along a slope line, and thus the numerical solution of SCA at any point on a surface can be calculated accurately by integrating the differential equation. However, obtaining the numerical SCA solution based on this differential equation is so computationally intensive that it is too time-consuming to use it to derive the overall SCA spatial distribution from a gridded DEM. In this study, we developed a parallel algorithm based on OpenMP to make the numerical SCA solution based on Gallant and Hutchinson (2011)'s differential equation practical to derive the spatial distribution of SCA from a gridded DEM. Experiments based on two artificial surfaces with theoretical SCA and a more complex real terrain surface demonstrated that the proposed parallel algorithm obtained satisfactory acceleration performance and a much lower error than the MFD-md algorithm, which is a representative of conventional grid-based flow direction algorithms. Due to the speedup effects of the proposed parallel algorithm, we analyzed the effects of the DEM grid size and integration step length on the numerical SCA solution in detailed experiments. The experimental results suggested that the proposed algorithm performed best normally at the resolution of 5 m. A step ratio of 0.5 is suitable in applications of the proposed parallel algorithm.
WOS关键词FLOW-DIRECTION ALGORITHM ; EXTRACTION
资助项目National Natural Science Foundation of China[41422109] ; National Natural Science Foundation of China[41431177] ; Innovation Project of LREIS[O88RA20CYA]
WOS研究方向Computer Science ; Geology
语种英语
WOS记录号WOS:000394067500010
出版者PERGAMON-ELSEVIER SCIENCE LTD
资助机构National Natural Science Foundation of China ; Innovation Project of LREIS
源URL[http://ir.igsnrr.ac.cn/handle/311030/64721]  
专题中国科学院地理科学与资源研究所
通讯作者Qin, Cheng-Zhi
作者单位1.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
2.Nanjing Normal Univ, Sch Geog, Nanjing 210097, Jiangsu, Peoples R China
3.Nanjing Normal Univ, Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210097, Jiangsu, Peoples R China
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
5.Nanjing Normal Univ, Key Lab Virtual Geog Environm, Minist Educ, Nanjing 210023, Jiangsu, Peoples R China
6.Univ Wisconsin, Dept Geog, Madison, WI 53706 USA
推荐引用方式
GB/T 7714
Qin, Cheng-Zhi,Ai, Bei-Bei,Zhu, A-Xing,et al. An efficient method for applying a differential equation to deriving the spatial distribution of specific catchment area from gridded digital elevation models[J]. COMPUTERS & GEOSCIENCES,2017,100:94-102.
APA Qin, Cheng-Zhi,Ai, Bei-Bei,Zhu, A-Xing,&Liu, Jun-Zhi.(2017).An efficient method for applying a differential equation to deriving the spatial distribution of specific catchment area from gridded digital elevation models.COMPUTERS & GEOSCIENCES,100,94-102.
MLA Qin, Cheng-Zhi,et al."An efficient method for applying a differential equation to deriving the spatial distribution of specific catchment area from gridded digital elevation models".COMPUTERS & GEOSCIENCES 100(2017):94-102.

入库方式: OAI收割

来源:地理科学与资源研究所

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