Factors influencing the residence time of catchment waters:: A virtual experiment approach

被引:100
作者
Dunn, Sarah M. [1 ]
McDonnell, Jeffrey J.
Vache, Kellie B.
机构
[1] Macaulay Land Use Res Inst, Aberdeen AB15 8QH, Scotland
[2] Oregon State Univ, Dept Forest Engn, Corvallis, OR 97331 USA
[3] Inst Landscape Ecol & Resources Management, D-35392 Giessen, Germany
[4] Delft Univ Technol, Water Resources Sect, Delft, Netherlands
关键词
D O I
10.1029/2006WR005393
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
[1] Estimates of mean residence time (MRT) are increasingly used as simple summary descriptors of the hydrological processes involving storage and mixing of water within catchment systems. Current understanding of the physical controls on MRT remains limited, and various hypotheses have been proposed to explain its variability between catchments. We present a series of virtual experiments to investigate different hypotheses regarding the significance of different hydrological processes and geographical controls in determining the MRT of catchment waters. The experiments were undertaken using a semidistributed conceptual hydrological model, applied to the Maimai experimental catchment in New Zealand. Our results show that in this small steep catchment, with largely impermeable bedrock, the primary control on the stream water mean residence time is storage within the unsaturated zone. The physical location on the hillslope had only a small influence on soil water residence time. Stream water mean residence time was very sensitive to small additional amounts of deep groundwater in the model. Overall, our results suggest that stream water MRT is additive. The component residence times of stream water MRT appear relatable to characteristic properties of the catchment. Through this mechanism there is future potential for extrapolating MRT data from experimental catchments to other areas.
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页数:14
相关论文
共 72 条
[1]   Residence times and flow paths of water in steep unchannelled catchments, Tanakami, Japan [J].
Asano, Y ;
Uchida, T ;
Ohte, N .
JOURNAL OF HYDROLOGY, 2002, 261 (1-4) :173-192
[2]   THE FUTURE OF DISTRIBUTED MODELS - MODEL CALIBRATION AND UNCERTAINTY PREDICTION [J].
BEVEN, K ;
BINLEY, A .
HYDROLOGICAL PROCESSES, 1992, 6 (03) :279-298
[3]   CHANGING IDEAS IN HYDROLOGY - THE CASE OF PHYSICALLY-BASED MODELS [J].
BEVEN, K .
JOURNAL OF HYDROLOGY, 1989, 105 (1-2) :157-172
[4]   Resolving the Double Paradox of rapidly mobilized old water with highly variable responses in runoff chemistry [J].
Bishop, K ;
Seibert, J ;
Köher, S ;
Laudon, H .
HYDROLOGICAL PROCESSES, 2004, 18 (01) :185-189
[5]   Invited commentary -: On hydrological predictability [J].
Blöschl, G ;
Zehe, E .
HYDROLOGICAL PROCESSES, 2005, 19 (19) :3923-3929
[6]  
Boorman D., 1995, HYDROLOGY SOIL TYPES
[7]   Stormflow-hydrograph separation based on isotopes: the thrill is gone - what's next? [J].
Burns, DA .
HYDROLOGICAL PROCESSES, 2002, 16 (07) :1515-1517
[8]   Effect of groundwater springs on NO3 concentrations during summer in Catskill Mountain streams [J].
Burns, DA ;
Murdoch, PS ;
Lawrence, GB ;
Michel, RL .
WATER RESOURCES RESEARCH, 1998, 34 (08) :1987-1996
[9]   RECHARGE PROCESSES DURING SNOWMELT - AN ISOTOPIC AND HYDROMETRIC INVESTIGATION [J].
BUTTLE, JM ;
SAMI, K .
HYDROLOGICAL PROCESSES, 1990, 4 (04) :343-360
[10]   Prediction of groundwater characteristics in forested and harvested basins during spring snowmelt using a topographic index [J].
Buttle, JM ;
Hazlett, PW ;
Murray, CD ;
Creed, IF ;
Jeffries, DS ;
Semkin, R .
HYDROLOGICAL PROCESSES, 2001, 15 (18) :3389-3407