DOU Lin, HUANG Mingbin. Applied Study of Baseflow Separation Methods in Watersheds of Loess Plateau[J]. Bulletin of Soiland Water Conservation, 2010, 29(3): 107-111.
DOI:
DOU Lin, HUANG Mingbin. Applied Study of Baseflow Separation Methods in Watersheds of Loess Plateau[J]. Bulletin of Soiland Water Conservation, 2010, 29(3): 107-111.DOI:
Applied Study of Baseflow Separation Methods in Watersheds of Loess Plateau
Basef low is the main source of stream flow in the dry season of a year. Due to the difficulty in measurement
it is important to select an adaptive basef low separat ion method for further baseflow research. In order to test the applicability of automated base flow separation methods on the Loess Plateau
six watersheds located in the hilly and gully region were chosen to estimate several widely used techniques
which are PART
digital filter technique
and smoothed minima method. Comparison shows that the results of all three type methods have little difference. The discharge hydrograph demonst rates that the result of digital filter method is more consistent with the actual discharge condition. Since the true values of the baseflow index are unknown
it is difficult to find which method may give the best estimation. However
the digital filter method appears to be more plausible than other methods for this region and the results from the method are objective and authentic. For the study area
result from digital filter method shows that the basef low index is 37%~ 64%
which means that basef low accounts for a larg e proportion of the total runo ff . However
the baseflow volume has been gradually reduced in the recent 48 years.
Features of Baseflow and Its Influencing Factors for Small Watersheds in Loess Hilly and Gully Region
Research Progresses in Baseflow Separation Methods
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Spatiotemporal evolution and influencing factors of ecological efficiency of cultivated land use in Shandong Province under “dual carbon” goals
Spatiotemporal changes in relationship between carbon emissions and ecosystem service values in Qingdao City
Related Author
GUO Jun-ting
ZHANG Zhi-qiang
WANG Sheng-ping
ZHANG Jian-jun
Strauss Peter
XU Ronghan
WANG Xiaogang
ZHENG Wei
Related Institution
Institute of Soil and Water Conservation, Beijing Forestry University
North China Electric Power University, Energy and Environment Research Center
The Federal Institute of Land and Water Management Research, A-3252, Petzenkirchen
National Satellite Meteorological Center, China Meteorological Administration
Department of Hydrosciences, School of Earth Sciences and Engineering, Nanjing University