Open AccessResearch on Baseflow Separation Based on Single Parameter Digital Filtering Method
Author(s) -
Jiaxin Zhou,
Chuancheng Zhao,
LI Qing-feng,
Ruiqi Yang
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/693/1/012079
Subject(s) - baseflow , surface runoff , environmental science , calibration , filter (signal processing) , computer science , separation (statistics) , statistics , hydrology (agriculture) , mathematics , drainage basin , geology , streamflow , geography , ecology , geotechnical engineering , biology , cartography , computer vision
Baseflow is the main source of supplement for rivers during dry seasons. The reliable separation methods play an important role in baseflow research and water resources management and utilization. Based on the daily runoff data of Changmabao hydrological station in the upper reaches of Shule River from 1957to 2016. Based on the parameter calibration of the single-parameter digital filter method, the single-parameter digital filter method is used to study the baseflow separation of the study area. The results show that that the optimal parameter combination is when the filtering parameter is 0.975 and the filtering times is 3. The multi-year average BFI value obtained by the single-parameter digital filtering method is 0.742. The high Nash-Sutcliffe efficiency coefficient and the average relative error is less than 10%, indicating that the baseflow estimation results of this method is stable, reliable and accurate.