Storage dynamics, hydrological connectivity and flux ages in a karst catchment: conceptual modelling using stable isotopes

被引:65
|
作者
Zhang, Zhicai [1 ,2 ,4 ]
Chen, Xi [3 ]
Cheng, Qinbo [1 ,4 ]
Soulsby, Chris [2 ]
机构
[1] Hohai Univ, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing 210098, Jiangsu, Peoples R China
[2] Univ Aberdeen, Sch Geosci, Aberdeen AB24 3UF, Scotland
[3] Tianjin Univ, Inst Surface Earth Syst Sci, Tianjin, Peoples R China
[4] Hohai Univ, Coll Hydrol & Water Resources, Nanjing 210098, Jiangsu, Peoples R China
基金
英国自然环境研究理事会;
关键词
TRANSIT-TIME DISTRIBUTIONS; SOLUTE TRANSPORT; PREFERENTIAL FLOW; TRACER-TESTS; WATER; RUNOFF; SYSTEM; AQUIFER; HYDROGEOLOGY; UNCERTAINTY;
D O I
10.5194/hess-23-51-2019
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
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 un- certainty 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.
引用
收藏
页码:51 / 71
页数:21
相关论文
共 25 条
  • [21] Constraining water age dynamics in a south-eastern Australian catchment using an age-ranked storage and stable isotope approach
    Buzacott, Alexander J., V
    van der Velde, Ype
    Keitel, Claudia
    Vervoort, R. Willem
    HYDROLOGICAL PROCESSES, 2020, 34 (23) : 4384 - 4403
  • [22] Separating snow and ice melt using water stable isotopes and glacio-hydrological modelling: towards improving the application of isotope analyses in highly glacierized catchments
    Mueller, Tom
    Fischer, Mauro
    Lane, Stuart N.
    Schaefli, Bettina
    CRYOSPHERE, 2025, 19 (01): : 423 - 458
  • [23] Visualizing catchment-scale spatio-temporal dynamics of storage-flux-age interactions using a tracer-aided ecohydrological model
    Smith, Aaron
    Tetzlaff, Doerthe
    Maneta, Marco
    Soulsby, Chris
    HYDROLOGICAL PROCESSES, 2022, 36 (02)
  • [24] Groundwater exfiltration pattern determination in the sub-arctic catchment using thermal imaging, stable water isotopes and fully-integrated groundwater-surface water modelling
    Autio, Anna
    Ala-Aho, Pertti
    Rossi, Pekka M.
    Ronkanen, Anna-Kaisa
    Lohila, Annalea
    Aurela, Mika
    Korpelainen, Pasi
    Kumpula, Timo
    Klove, Bjorn
    Marttila, Hannu
    JOURNAL OF HYDROLOGY, 2023, 626
  • [25] Understanding groundwater storage and drainage dynamics of a high mountain catchment with complex geology using a semi-distributed process-based modelling approach
    Chen, Zhao
    Lucianetti, Giorgia
    Hartmann, Andreas
    JOURNAL OF HYDROLOGY, 2023, 625