DEM Based Extraction of River Networks in Binzhou River Basin of Heilongjiang Province
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DEM Based Extraction of River Networks in Binzhou River Basin of Heilongjiang Province
Bulletin of Soiland Water ConservationVol. 31, Issue 1, Pages: 127-131(2012)
作者机构:
1. 西北农林科技大学资源环境学院, 陕西 杨凌,712100
2. 中国科学院水利部水土保持研究所土壤侵蚀与旱地农业国家重点实验室, 陕西 杨凌,712100
3. 南京大学地理与海洋科学学院,江苏,南京,210093
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Published:2012
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GUAN Ying-hui, ZHENG Fen-li, WANG Bin, et al. DEM Based Extraction of River Networks in Binzhou River Basin of Heilongjiang Province[J]. Bulletin of Soiland Water Conservation, 2012, 31(1): 127-131.
DOI:
GUAN Ying-hui, ZHENG Fen-li, WANG Bin, et al. DEM Based Extraction of River Networks in Binzhou River Basin of Heilongjiang Province[J]. Bulletin of Soiland Water Conservation, 2012, 31(1): 127-131.DOI:
DEM Based Extraction of River Networks in Binzhou River Basin of Heilongjiang Province
Extracting river network characteristics based on digital elevation model(DEM) is a hotspot in digital hydrology research.By taking Binzhou River basin in the black soil region of Northeast China as an example and using 5-meter resolution DEM as the data for study
river network features were extracted by applying Arc Hydro Tools in ArcGIS 9.2 version.Results showed that when different drainage networks were extracted by setting drainage area threshold value to be 0.75
1.25
2
2.5
3.75
and 5 km2
respectively
different threshold values had very little effect on spatial position of the main stream network
but extracted river network features of the digital watershed changed greatly.A method for setting a suitable threshold value was proposed based on the relation of source density/drainage density with drainage area threshold.It was found that when drainage area threshold was 2 km2
extracted river network features were basically consistent with actual drainage net features
with prediction accuracy reaching 95%.Therefore
automatic extraction of watershed features based on Arc Hydro Tools is feasible.