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WeightNameValue
1000 Titel
  • Storage dynamics, hydrological connectivity and flux ages in a karst catchment: conceptual modelling using stable isotopes
1000 Autor/in
  1. Zhang, Zhicai |
  2. Chen, Xi |
  3. Cheng, Qinbo |
  4. Soulsby, Chris |
1000 Erscheinungsjahr 2019
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2019-01-07
1000 Erschienen in
1000 Quellenangabe
  • 23(1):51-71
1000 Copyrightjahr
  • 2019
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.5194/hess-23-51-2019 |
1000 Ergänzendes Material
  • https://www.hydrol-earth-syst-sci.net/23/51/2019/hess-23-51-2019-supplement.pdf |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • We developed a new tracer-aided hydrological model that disaggregates cockpit karst terrain into the two dominant landscape units of hillslopes and depressions (with fast and slow flow systems). The new model was calibrated by using high temporal resolution hydrometric and isotope data in the outflow of Chenqi catchment in Guizhou Province of south-western China. The model could track hourly water and isotope fluxes through each landscape unit and estimate the associated storage and water age dynamics. From the model results we inferred that the fast flow reservoir in the depression had the smallest water storage and the slow flow reservoir the largest, with the hillslope intermediate. The estimated mean ages of water draining the hillslope unit, and the fast and slow flow reservoirs during the study period, were 137, 326 and 493 days, respectively. Distinct seasonal variability in hydroclimatic conditions and associated water storage dynamics (captured by the model) were the main drivers of non-stationary hydrological connectivity between the hillslope and depression. During the dry season, slow flow in the depression contributes the largest proportion (78.4 %) of flow to the underground stream draining the catchment, resulting in weak hydrological connectivity between the hillslope and depression. During the wet period, with the resulting rapid increase in storage, the hillslope unit contributes the largest proportion (57.5 %) of flow to the underground stream due to the strong hydrological connectivity between the hillslope and depression. Meanwhile, the tracer-aided model can be used to identify the sources of uncertainty in the model results. Our analysis showed that the model uncertainty of the hydrological variables in the different units relies on their connectivity with the outlet when the calibration target uses only the outlet information. The model uncertainty was much lower for the “newer” water from the fast flow system in the depression and flow from the hillslope unit during the wet season and higher for “older” water from the slow flow system in the depression. This suggests that to constrain model parameters further, increased high-resolution hydrometric and tracer data on the internal dynamics of systems (e.g. groundwater responses during low flow periods) could be used in calibration.
1000 Sacherschließung
lokal solute transport
lokal hydrogeology
lokal tracer-tests
lokal preferential flow
lokal aquifer
lokal geosciences multidisciplinary
lokal water resources
lokal transit-time distributions
lokal runoff
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/WmhhbmcsIFpoaWNhaQ==|https://orcid.org/0000-0003-3647-5617|https://frl.publisso.de/adhoc/uri/Q2hlbmcsIFFpbmJv|https://frl.publisso.de/adhoc/uri/U291bHNieSwgQ2hyaXM=
1000 (Academic) Editor
1000 Label
1000 Förderer
  1. UK-China Critical Zone Observatory |
  2. National Natural Science Foundation of China |
  3. National Basic Research Program of China (973 Program) |
  4. National Key Research and Development Program of China Stem Cell and Translational Research |
  5. Fundamental Research Funds for the Central Universities |
  6. Natural Environment Research Council |
1000 Fördernummer
  1. 41571130071
  2. 41571020; 41571020
  3. 2015CB452701
  4. 2016YFC0502602
  5. 2016B04814
  6. NE/N007468/1
1000 Förderprogramm
  1. -
  2. -
  3. -
  4. -
  5. -
  6. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer UK-China Critical Zone Observatory |
    1000 Förderprogramm -
    1000 Fördernummer 41571130071
  2. 1000 joinedFunding-child
    1000 Förderer National Natural Science Foundation of China |
    1000 Förderprogramm -
    1000 Fördernummer 41571020; 41571020
  3. 1000 joinedFunding-child
    1000 Förderer National Basic Research Program of China (973 Program) |
    1000 Förderprogramm -
    1000 Fördernummer 2015CB452701
  4. 1000 joinedFunding-child
    1000 Förderer National Key Research and Development Program of China Stem Cell and Translational Research |
    1000 Förderprogramm -
    1000 Fördernummer 2016YFC0502602
  5. 1000 joinedFunding-child
    1000 Förderer Fundamental Research Funds for the Central Universities |
    1000 Förderprogramm -
    1000 Fördernummer 2016B04814
  6. 1000 joinedFunding-child
    1000 Förderer Natural Environment Research Council |
    1000 Förderprogramm -
    1000 Fördernummer NE/N007468/1
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6418281.rdf
1000 Erstellt am 2019-12-18T11:08:07.544+0100
1000 Erstellt von 291
1000 beschreibt frl:6418281
1000 Bearbeitet von 25
1000 Zuletzt bearbeitet Mon Mar 23 07:46:17 CET 2020
1000 Objekt bearb. Mon Mar 23 07:46:04 CET 2020
1000 Vgl. frl:6418281
1000 Oai Id
  1. oai:frl.publisso.de:frl:6418281 |
1000 Sichtbarkeit Metadaten public
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