Articles | Volume 25, issue 4
https://doi.org/10.5194/hess-25-1747-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-25-1747-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Can the two-parameter recursive digital filter baseflow separation method really be calibrated by the conductivity mass balance method?
Weifei Yang
Key Laboratory of Groundwater Resources and Environment (Ministry
of Education), Jilin University, Changchun 130021, PR China
Jilin Provincial Key Laboratory of Water Resources and Environment,
Jilin University, Changchun 130021, PR China
National-Local Joint Engineering Laboratory of In-situ Conversion,
Drilling and Exploitation Technology for Oil Shale, Jilin University,
Changchun 130021, PR China
College of New Energy and Environment, Jilin University, No. 2519,
Jiefang Road, Changchun 130021, PR China
Changlai Xiao
CORRESPONDING AUTHOR
Key Laboratory of Groundwater Resources and Environment (Ministry
of Education), Jilin University, Changchun 130021, PR China
Jilin Provincial Key Laboratory of Water Resources and Environment,
Jilin University, Changchun 130021, PR China
National-Local Joint Engineering Laboratory of In-situ Conversion,
Drilling and Exploitation Technology for Oil Shale, Jilin University,
Changchun 130021, PR China
College of New Energy and Environment, Jilin University, No. 2519,
Jiefang Road, Changchun 130021, PR China
Zhihao Zhang
Key Laboratory of Groundwater Resources and Environment (Ministry
of Education), Jilin University, Changchun 130021, PR China
Jilin Provincial Key Laboratory of Water Resources and Environment,
Jilin University, Changchun 130021, PR China
National-Local Joint Engineering Laboratory of In-situ Conversion,
Drilling and Exploitation Technology for Oil Shale, Jilin University,
Changchun 130021, PR China
College of New Energy and Environment, Jilin University, No. 2519,
Jiefang Road, Changchun 130021, PR China
Xiujuan Liang
CORRESPONDING AUTHOR
Key Laboratory of Groundwater Resources and Environment (Ministry
of Education), Jilin University, Changchun 130021, PR China
Jilin Provincial Key Laboratory of Water Resources and Environment,
Jilin University, Changchun 130021, PR China
National-Local Joint Engineering Laboratory of In-situ Conversion,
Drilling and Exploitation Technology for Oil Shale, Jilin University,
Changchun 130021, PR China
College of New Energy and Environment, Jilin University, No. 2519,
Jiefang Road, Changchun 130021, PR China
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Cited
14 citations as recorded by crossref.
- Impact-Based Critical Areal Rainfall for Early Flood Warning: A Case Study of Zhulong River Watershed in the Upper Reaches of the Xiong’an New Area L. Si et al. 10.3390/atmos14010113
- Using natural tracers and calibrated analytical filter to highlight baseflow contribution to mountainous Mediterranean rivers in a context of climate change P. Guisiano et al. 10.1016/j.jhydrol.2024.131842
- Impacts of Land Use Types, Soil Properties, and Topography on Baseflow Recharge and Prediction in an Agricultural Watershed C. Wei et al. 10.3390/land12010109
- Calibrated Eckhardt’s filter versus alternative baseflow separation methods: A silica-based approach in a Brazilian catchment F. Helfer et al. 10.1016/j.jhydrol.2024.132073
- Baseflow estimation based on a self-adaptive non-linear reservoir algorithm in a rainy watershed of eastern China S. He et al. 10.1016/j.jenvman.2023.117379
- A proposed composite Boussinesq equation for estimating baseflow recessions and storage-outflow relationship M. Alattar & T. Troy 10.1016/j.jhydrol.2023.130321
- Influence of redox gradients on nitrate transport from the landscape to groundwater and streams A. Tesoriero et al. 10.1016/j.scitotenv.2021.150200
- Technical note: How physically based is hydrograph separation by recursive digital filtering? K. Eckhardt 10.5194/hess-27-495-2023
- Optimal baseflow separation scheme considering both high precision and low cost - take major watersheds in the United States as an example R. Zhong et al. 10.1016/j.jhydrol.2022.128133
- Implications of variations in stream specific conductivity for estimating baseflow using chemical mass balance and calibrated hydrograph techniques I. Cartwright 10.5194/hess-26-183-2022
- Quantifying the contribution of direct runoff and baseflow to nitrogen loading in the Western Lake Erie Basins J. Song et al. 10.1038/s41598-022-12740-1
- The role of climate conditions and groundwater on baseflow separation in Urmia Lake Basin, Iran R. Narimani et al. 10.1016/j.ejrh.2023.101383
- An index for inferring dominant transport pathways of solutes and sediment: Assessing land use impacts with high-frequency conductivity and turbidity sensor data A. Zarnaghsh & A. Husic 10.1016/j.scitotenv.2023.164931
- Routine stream monitoring data enables the unravelling of hydrological pathways and transfers of agricultural contaminants through catchments R. Stenger et al. 10.1016/j.scitotenv.2023.169370
14 citations as recorded by crossref.
- Impact-Based Critical Areal Rainfall for Early Flood Warning: A Case Study of Zhulong River Watershed in the Upper Reaches of the Xiong’an New Area L. Si et al. 10.3390/atmos14010113
- Using natural tracers and calibrated analytical filter to highlight baseflow contribution to mountainous Mediterranean rivers in a context of climate change P. Guisiano et al. 10.1016/j.jhydrol.2024.131842
- Impacts of Land Use Types, Soil Properties, and Topography on Baseflow Recharge and Prediction in an Agricultural Watershed C. Wei et al. 10.3390/land12010109
- Calibrated Eckhardt’s filter versus alternative baseflow separation methods: A silica-based approach in a Brazilian catchment F. Helfer et al. 10.1016/j.jhydrol.2024.132073
- Baseflow estimation based on a self-adaptive non-linear reservoir algorithm in a rainy watershed of eastern China S. He et al. 10.1016/j.jenvman.2023.117379
- A proposed composite Boussinesq equation for estimating baseflow recessions and storage-outflow relationship M. Alattar & T. Troy 10.1016/j.jhydrol.2023.130321
- Influence of redox gradients on nitrate transport from the landscape to groundwater and streams A. Tesoriero et al. 10.1016/j.scitotenv.2021.150200
- Technical note: How physically based is hydrograph separation by recursive digital filtering? K. Eckhardt 10.5194/hess-27-495-2023
- Optimal baseflow separation scheme considering both high precision and low cost - take major watersheds in the United States as an example R. Zhong et al. 10.1016/j.jhydrol.2022.128133
- Implications of variations in stream specific conductivity for estimating baseflow using chemical mass balance and calibrated hydrograph techniques I. Cartwright 10.5194/hess-26-183-2022
- Quantifying the contribution of direct runoff and baseflow to nitrogen loading in the Western Lake Erie Basins J. Song et al. 10.1038/s41598-022-12740-1
- The role of climate conditions and groundwater on baseflow separation in Urmia Lake Basin, Iran R. Narimani et al. 10.1016/j.ejrh.2023.101383
- An index for inferring dominant transport pathways of solutes and sediment: Assessing land use impacts with high-frequency conductivity and turbidity sensor data A. Zarnaghsh & A. Husic 10.1016/j.scitotenv.2023.164931
- Routine stream monitoring data enables the unravelling of hydrological pathways and transfers of agricultural contaminants through catchments R. Stenger et al. 10.1016/j.scitotenv.2023.169370
Latest update: 21 Nov 2024
Short summary
This study analyzed the effectiveness of the conductivity mass balance (CMB) method for correcting the Eckhardt method. The results showed that the approach of calibrating the Eckhardt method against the CMB method provides a
falsecalibration of total baseflow by offsetting the inherent biases in the baseflow sequences generated by the two methods. The reason for this phenomenon is the baseflow series generated by the two methods containing different transient water sources.
This study analyzed the effectiveness of the conductivity mass balance (CMB) method for...