How can streamflow and climate-landscape data be used to estimate baseflow mean response time?

Runrun Zhang, Xi Chen, Zhicai Zhang, Chris Soulsby, Man Gao

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Mean response time (MRT) is a metric describing the propagation of catchment hydraulic behavior that reflects both hydro-climatic conditions and catchment characteristics. To provide a comprehensive understanding of catchment response over a longer-time scale for hydraulic processes, the MRT function for baseflow generation was derived using an instantaneous unit hydrograph (IUH) model that describes the subsurface response to effective rainfall inputs. IUH parameters were estimated based on the “match test” between the autocorrelation function (ACFs) derived from the filtered base flow time series and from the IUH parameters, under the GLUE framework. Regionalization of MRT was conducted using estimates and hydroclimate-landscape indices in 22 sub-basins of the Jinghe River Basin (JRB) in the Loess Plateau of northwest China. Results indicate there is strong equifinality in determination of the best parameter sets but the median values of the MRT estimates are relatively stable in the acceptable range of the parameters. MRTs vary markedly over the studied sub-basins, ranging from tens of days to more than a year. Climate, topography and geomorphology were identified as three first-order controls on recharge-baseflow response processes. Human activities involving the cultivation of permanent crops may elongate the baseflow MRT and hence increase the dynamic storage. Cross validation suggests the model can be used to estimate MRTs in ungauged catchments in similar regions of throughout the Loess Plateau. The proposed method provides a systematic approach for MRT estimation and regionalization in terms of hydroclimate and catchment characteristics, which is helpful in the sustainable water resources utilization and ecological protection in the Loess Plateau.

Original languageEnglish
Pages (from-to)916-930
Number of pages15
JournalJournal of Hydrology
Volume557
Early online date30 Dec 2017
DOIs
Publication statusPublished - 28 Feb 2018

Fingerprint

baseflow
streamflow
unit hydrograph
catchment
climate
loess
plateau
regionalization
hydraulics
basin
autocorrelation
geomorphology
recharge
human activity
river basin
water resource
topography
time series
timescale
rainfall

Keywords

  • Baseflow separation
  • Instantaneous unit hydrograph
  • Mean response time
  • Regionalization
  • The Jinghe River basin

ASJC Scopus subject areas

  • Water Science and Technology

Cite this

How can streamflow and climate-landscape data be used to estimate baseflow mean response time? / Zhang, Runrun; Chen, Xi; Zhang, Zhicai; Soulsby, Chris; Gao, Man.

In: Journal of Hydrology, Vol. 557, 28.02.2018, p. 916-930.

Research output: Contribution to journalArticle

Zhang, Runrun ; Chen, Xi ; Zhang, Zhicai ; Soulsby, Chris ; Gao, Man. / How can streamflow and climate-landscape data be used to estimate baseflow mean response time?. In: Journal of Hydrology. 2018 ; Vol. 557. pp. 916-930.
@article{52db398ad6744739b79627eab6c56a4e,
title = "How can streamflow and climate-landscape data be used to estimate baseflow mean response time?",
abstract = "Mean response time (MRT) is a metric describing the propagation of catchment hydraulic behavior that reflects both hydro-climatic conditions and catchment characteristics. To provide a comprehensive understanding of catchment response over a longer-time scale for hydraulic processes, the MRT function for baseflow generation was derived using an instantaneous unit hydrograph (IUH) model that describes the subsurface response to effective rainfall inputs. IUH parameters were estimated based on the “match test” between the autocorrelation function (ACFs) derived from the filtered base flow time series and from the IUH parameters, under the GLUE framework. Regionalization of MRT was conducted using estimates and hydroclimate-landscape indices in 22 sub-basins of the Jinghe River Basin (JRB) in the Loess Plateau of northwest China. Results indicate there is strong equifinality in determination of the best parameter sets but the median values of the MRT estimates are relatively stable in the acceptable range of the parameters. MRTs vary markedly over the studied sub-basins, ranging from tens of days to more than a year. Climate, topography and geomorphology were identified as three first-order controls on recharge-baseflow response processes. Human activities involving the cultivation of permanent crops may elongate the baseflow MRT and hence increase the dynamic storage. Cross validation suggests the model can be used to estimate MRTs in ungauged catchments in similar regions of throughout the Loess Plateau. The proposed method provides a systematic approach for MRT estimation and regionalization in terms of hydroclimate and catchment characteristics, which is helpful in the sustainable water resources utilization and ecological protection in the Loess Plateau.",
keywords = "Baseflow separation, Instantaneous unit hydrograph, Mean response time, Regionalization, The Jinghe River basin",
author = "Runrun Zhang and Xi Chen and Zhicai Zhang and Chris Soulsby and Man Gao",
note = "The research was supported by the National Natural Scientific Foundation of China (No. 51190091, 41571130071) and the Natural Environment Research Council (NE/N007425/1).",
year = "2018",
month = "2",
day = "28",
doi = "10.1016/j.jhydrol.2017.12.070",
language = "English",
volume = "557",
pages = "916--930",
journal = "Journal of Hydrology",
issn = "0022-1694",
publisher = "Elsevier Science B. V.",

}

TY - JOUR

T1 - How can streamflow and climate-landscape data be used to estimate baseflow mean response time?

AU - Zhang, Runrun

AU - Chen, Xi

AU - Zhang, Zhicai

AU - Soulsby, Chris

AU - Gao, Man

N1 - The research was supported by the National Natural Scientific Foundation of China (No. 51190091, 41571130071) and the Natural Environment Research Council (NE/N007425/1).

PY - 2018/2/28

Y1 - 2018/2/28

N2 - Mean response time (MRT) is a metric describing the propagation of catchment hydraulic behavior that reflects both hydro-climatic conditions and catchment characteristics. To provide a comprehensive understanding of catchment response over a longer-time scale for hydraulic processes, the MRT function for baseflow generation was derived using an instantaneous unit hydrograph (IUH) model that describes the subsurface response to effective rainfall inputs. IUH parameters were estimated based on the “match test” between the autocorrelation function (ACFs) derived from the filtered base flow time series and from the IUH parameters, under the GLUE framework. Regionalization of MRT was conducted using estimates and hydroclimate-landscape indices in 22 sub-basins of the Jinghe River Basin (JRB) in the Loess Plateau of northwest China. Results indicate there is strong equifinality in determination of the best parameter sets but the median values of the MRT estimates are relatively stable in the acceptable range of the parameters. MRTs vary markedly over the studied sub-basins, ranging from tens of days to more than a year. Climate, topography and geomorphology were identified as three first-order controls on recharge-baseflow response processes. Human activities involving the cultivation of permanent crops may elongate the baseflow MRT and hence increase the dynamic storage. Cross validation suggests the model can be used to estimate MRTs in ungauged catchments in similar regions of throughout the Loess Plateau. The proposed method provides a systematic approach for MRT estimation and regionalization in terms of hydroclimate and catchment characteristics, which is helpful in the sustainable water resources utilization and ecological protection in the Loess Plateau.

AB - Mean response time (MRT) is a metric describing the propagation of catchment hydraulic behavior that reflects both hydro-climatic conditions and catchment characteristics. To provide a comprehensive understanding of catchment response over a longer-time scale for hydraulic processes, the MRT function for baseflow generation was derived using an instantaneous unit hydrograph (IUH) model that describes the subsurface response to effective rainfall inputs. IUH parameters were estimated based on the “match test” between the autocorrelation function (ACFs) derived from the filtered base flow time series and from the IUH parameters, under the GLUE framework. Regionalization of MRT was conducted using estimates and hydroclimate-landscape indices in 22 sub-basins of the Jinghe River Basin (JRB) in the Loess Plateau of northwest China. Results indicate there is strong equifinality in determination of the best parameter sets but the median values of the MRT estimates are relatively stable in the acceptable range of the parameters. MRTs vary markedly over the studied sub-basins, ranging from tens of days to more than a year. Climate, topography and geomorphology were identified as three first-order controls on recharge-baseflow response processes. Human activities involving the cultivation of permanent crops may elongate the baseflow MRT and hence increase the dynamic storage. Cross validation suggests the model can be used to estimate MRTs in ungauged catchments in similar regions of throughout the Loess Plateau. The proposed method provides a systematic approach for MRT estimation and regionalization in terms of hydroclimate and catchment characteristics, which is helpful in the sustainable water resources utilization and ecological protection in the Loess Plateau.

KW - Baseflow separation

KW - Instantaneous unit hydrograph

KW - Mean response time

KW - Regionalization

KW - The Jinghe River basin

UR - http://www.scopus.com/inward/record.url?scp=85041365022&partnerID=8YFLogxK

U2 - 10.1016/j.jhydrol.2017.12.070

DO - 10.1016/j.jhydrol.2017.12.070

M3 - Article

VL - 557

SP - 916

EP - 930

JO - Journal of Hydrology

JF - Journal of Hydrology

SN - 0022-1694

ER -