Paper The following article is Open access

Research on Baseflow Separation Based on Single Parameter Digital Filtering Method

, , and

Published under licence by IOP Publishing Ltd
, , Citation Jiaxin Zhou et al 2021 IOP Conf. Ser.: Earth Environ. Sci. 693 012079 DOI 10.1088/1755-1315/693/1/012079

1755-1315/693/1/012079

Abstract

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.

Export citation and abstract BibTeX RIS

Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

Please wait… references are loading.