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Remote Sensing Technology and Application  2016, Vol. 31 Issue (4): 793-800    DOI: 10.11873/j.issn.1004-0323.2016.4.0793
    
An Automatic Method for Generating Stream Network Data for the DHSVM Model Using Open Source GIS
Zhao Yanbo1,Cao Xuecheng2,Nan Zhuotong3,Wu Xiaobo1,4
(1.Northwest Institute of Eco\|Environment and Resouces,
Chinese Academy of Sciences,Lanzhou 730000,China;
2.Chinese Peoples Liberation Army Unit 61243,Lanzhou 730000,China;
3.School of Geography Science,Nanjing Normal Uviversity,Nanjing 210023,China;
4.University of Chinese Academy of Sciences,Beijing 100049,China)
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Abstract  

The physically\|explicit hydrological model,Distributed Hydrology\|Soil\|Vegetation Model (DHSVM),has been widely used for modelling hydrological processes in the meso\| and micro\|scale catchments.The model is driven by various forcing data with specific formats,needing complicated works to prepare those inputs.In particular,the stream network data are generated through the outdated Arc/Info AML script language,which is commercially licensed,making the data preparation very inconvenient for users.This study designed and implemented an automatic work by using an open source GIS library and C++ flow for generating stream network data files required by DHSVM.The representation and organization of stream network data in DHSVM were fully examined before the implementation.A strategy of separating executables and configuration files was adopted in order to improve its usability.This work lays a solid foundtion for future automation of the whole DHSVM running covering input preparation,model running and results analyzing,which is necessary when DHSVM is integrated to any operational forecasting system.

Key words:  DHSVM      Stream network      Open source      GIS      Drainage network extraction     
Received:  23 July 2015      Published:  14 October 2016
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Zhao Yanbo
Cao Xuecheng
Nan Zhuotong
Wu Xiaobo

Cite this article: 

Zhao Yanbo,Cao Xuecheng,Nan Zhuotong,Wu Xiaobo. An Automatic Method for Generating Stream Network Data for the DHSVM Model Using Open Source GIS. Remote Sensing Technology and Application, 2016, 31(4): 793-800.

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http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2016.4.0793     OR     http://www.rsta.ac.cn/EN/Y2016/V31/I4/793

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