Regional variation of recession flow power-law exponent

被引:24
作者
Patnaik, Swagat [1 ]
Biswal, Basudev [1 ,2 ]
Kumar, Dasika Nagesh [3 ]
Sivakumar, Bellie [2 ,4 ,5 ]
机构
[1] Indian Inst Technol Hyderabad, Dept Civil Engn, Hyderabad 502205, Andhra Pradesh, India
[2] Indian Inst Technol, Dept Civil Engn, Bombay 400076, Maharashtra, India
[3] Indian Inst Sci, Dept Civil Engn, Bangalore 560012, Karnataka, India
[4] Univ New South Wales, Sch Civil & Environm Engn, Sydney, NSW 2052, Australia
[5] Univ Calif Davis, Dept Land Air & Water Resources, Davis, CA 95616 USA
关键词
basin characteristics; Brutsaert-Nieber analysis; recession flows; step-wise multiple linear regression; storage-discharge relationship; SUBSURFACE STORMFLOW PARAMETERS; DOMINANT PROCESSES CONCEPT;
D O I
10.1002/hyp.11441
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Recession flows of a basin provide valuable information about its storage-discharge relationship as during recession periods discharge occurs due to depletion of storage. Storage-discharge analysis is generally performed by plotting -dQ/ dt against Q, where Q is discharge at time t. For most real world catchments, -dQ/ dt versus Q show a power-law relationship of the type: -dQ/ dt = kQa. Because the coefficient k varies across recession events significantly, the exponent a needs to be computed separately for individual recession events. The median a can then be considered as the representative a for the basin. The question that arises here is what are the basin characteristics that influence the value of a? Studies based on a small number of basins (up to 50 basins) reveal that a has good relationship with several basin characteristics. However, whether such a relationship is universal remains an important question, because a universal relationship would allow prediction of the value of a for any ungauged basin. To test this hypothesis, here, we study data collected from a relatively large number of basins (358 basins) in USA and examine the influence of 35 different physio-climatic characteristics on a. We divide the basins into 2 groups based on their longitudes and test the relationship between a and basin characteristics separately for the two groups. The results indicate that a is not identically influenced by different basin characteristics for the two datasets. This may suggest that the power-law exponent a of a region is determined by the way local physio-climatic forces have shaped the landscape.
引用
收藏
页码:866 / 872
页数:7
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