What mainly controls recession flows in river basins?

Biswal, Basudev; Kumar, D. Nagesh

doi:10.1016/j.advwatres.2014.01.001

Cited by 27 publications

(28 citation statements)

References 55 publications

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“…Interestingly, Thomas et al [2013] document that even very small human water withdrawals can have very large impacts on our ability to model baseflow recessions. Despite the continuing controversy over whether or not the baseflow response is linear or nonlinear [e.g., Biswala and Kumara, 2014], estimation of the baseflow recession constant continues to be required for many hydrologic models, too numerous to list exhaustively (e.g., HEC-HMS, HSPF, SWAT). Thomas et al [2013] describe new procedures for the estimation of the baseflow recession constant under human influence.…”

Section: Baseflow and Groundwater Outflowmentioning

confidence: 99%

Hydrology: The interdisciplinary science of water

Vogel

Lall

Cai

et al. 2015

Water Resources Research

171

105

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We live in a world where biophysical and social processes are tightly coupled. Hydrologic systems change in response to a variety of natural and human forces such as climate variability and change, water use and water infrastructure, and land cover change. In turn, changes in hydrologic systems impact socioeconomic, ecological, and climate systems at a number of scales, leading to a coevolution of these interlinked systems. The Harvard Water Program, Hydrosociology, Integrated Water Resources Management, Ecohydrology, Hydromorphology, and Sociohydrology were all introduced to provide distinct, interdisciplinary perspectives on water problems to address the contemporary dynamics of human interaction with the hydrosphere and the evolution of the Earth's hydrologic systems. Each of them addresses scientific, social, and engineering challenges related to how humans influence water systems and vice versa. There are now numerous examples in the literature of how holistic approaches can provide a structure and vision of the future of hydrology. We review selected examples, which taken together, describe the type of theoretical and applied integrated hydrologic analyses and associated curricular content required to address the societal issue of water resources sustainability. We describe a modern interdisciplinary science of hydrology needed to develop an in-depth understanding of the dynamics of the connectedness between human and natural systems and to determine effective solutions to resolve the complex water problems that the world faces today. Nearly, every theoretical hydrologic model introduced previously is in need of revision to accommodate how climate, land, vegetation, and socioeconomic factors interact, change, and evolve over time.

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Section: Baseflow and Groundwater Outflowmentioning

confidence: 99%

Hydrology: The interdisciplinary science of water

Vogel

Lall

Cai

et al. 2015

Water Resources Research

171

105

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“…By using direct observations of changes in the active channel network – a relatively rare hydrologic measurement – this paper suggests that recession in this system may not be directly related to changes in the active channel network as hypothesized for other watersheds (Biswal and Marani, ; Biswal and Kumar, ; Biswal and Marani, ; Biswal and Kumar, ). Recession was found to occur in a matter of days, while changes in the active channel network occurred over a matter of weeks.…”

Section: Discussionmentioning

confidence: 97%

“…() postulated that during dryer periods, a greater proportion of flow originates from deep alluvial zones in near‐stream areas. Biswal and Marani () and Biswal and Kumar (, ) have had a differing interpretation. They interpreted the near‐constant slope and varying intercept of the individual recession curves in terms of systematic contractions in the active channel network.…”

Section: Introductionmentioning

confidence: 99%

“…Without direct observations of changes in the active channel network, Biswal and Marani (, ) and Biswal and Kumar (, ) analysed the static channel network as derived from watershed topographic data. They supported their model by relating the number of sources in a channel network (independent terminal branches) to the total length of the active channel network at different degrees of assumed channel contraction from the channel heads.…”

Section: Introductionmentioning

confidence: 99%

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Investigating the linkage between streamflow recession rates and channel network contraction in a mesoscale catchment in New York state

Shaw

2015

Hydrological Processes

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Abstract:The rate of recession (dQ/dt) in a given time interval has long been plotted in log-log space against the concurrent mean discharge (Q avg ). Recent interpretations of these dQ/dt-Q avg plots have sought to look at curves for individual events instead of the data cloud from all the data points together. These individual recession curves have been observed to have near-constant slope but to have varying intercepts, features hypothesized to possibly be explained by the nature of the contraction of the active channel network during recession. For a steep, 150-ha forested catchment in central New York state with an 8.8-km channel network, changes in the active channel network were mapped between April and November 2013. Streamflow recession occurred in a matter of days, but changes in the active channel network occurred over a matter of weeks. Thus, in this catchment, it does not appear that channel contraction directly controls recession. Additionally, field observations indicate that dry down did not occur in a spatially organized, sequential way such that the upper end of higher-order streams dried first. Instead, the location of groundwater seeps, in part, controlled the active portion of the channel network. Consistent with the presence of different types of flow contributing zones, the paper presents a conceptual model that consists of multiple parallel reservoirs of varying drainage rate and varying degrees of recharge at different times of the year. This conceptual model is able to reproduce a slope of 2 and a seasonal shift in intercept typical of individual recession curves.

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“…The assumption of constant k particularly results in significant underestimation of α (e.g., Biswal & Marani, ; Biswal & Nagesh Kumar, ; Mutzner et al, ). Therefore, for more reliable outcomes, dQ / dt versus Q curves from a basin need to be analysed individually, and the median of α should then be considered as the representative α for the basin (Biswal & Marani, ; Biswal & Nagesh Kumar, ; Shaw & Riha, ).…”

Section: Introductionmentioning

confidence: 99%

Regional variation of recession flow power‐law exponent

Patnaik

Biswal

Kumar

et al. 2018

Hydrological Processes

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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 = kQα. Because the coefficient k varies across recession events significantly, the exponent α needs to be computed separately for individual recession events. The median α can then be considered as the representative α for the basin. The question that arises here is what are the basin characteristics that influence the value of α? Studies based on a small number of basins (up to 50 basins) reveal that α 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 α 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 α. We divide the basins into 2 groups based on their longitudes and test the relationship between α and basin characteristics separately for the two groups. The results indicate that α is not identically influenced by different basin characteristics for the two datasets. This may suggest that the power‐law exponent α of a region is determined by the way local physio‐climatic forces have shaped the landscape.

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What mainly controls recession flows in river basins?

Cited by 27 publications

References 55 publications

Hydrology: The interdisciplinary science of water

Hydrology: The interdisciplinary science of water

Investigating the linkage between streamflow recession rates and channel network contraction in a mesoscale catchment in New York state

Regional variation of recession flow power‐law exponent

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